default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSong-Chun Zhu
Song Chun Zhu
Person information
- affiliation: University of California, Department of Statistics, Los Angeles, CA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c292]Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang
, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang:
ProAgent: Building Proactive Cooperative Agents with Large Language Models. AAAI 2024: 17591-17599- [c291]Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang:
RulE: Knowledge Graph Reasoning with Rule Embedding. ACL (Findings) 2024: 4316-4335 - [c290]Zixia Jia, Mengmeng Wang, Baichen Tong, Song-Chun Zhu, Zilong Zheng:
LangSuit·E: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments. ACL (Findings) 2024: 14778-14814 - [c289]Zhi Gao, Yuntao Du, Xintong Zhang, Xiaojian Ma, Wenjuan Han, Song-Chun Zhu, Qing Li:
CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update. CVPR 2024: 13258-13268 - [c288]Qing Li, Yixin Zhu, Yitao Liang, Ying Nian Wu, Song-Chun Zhu, Siyuan Huang:
Neural-Symbolic Recursive Machine for Systematic Generalization. ICLR 2024 - [c287]Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang, Bangcheng Yang, Pring Wong, Yifan Zhong, Xiaoyuan Zhang, Zhaowei Zhang, Nian Liu, Yaodong Yang, Song-Chun Zhu:
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. ICLR 2024 - [c286]Rujie Wu, Xiaojian Ma, Zhenliang Zhang, Wei Wang, Qing Li, Song-Chun Zhu, Yizhou Wang:
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World. ICLR 2024 - [c285]Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng:
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. ICML 2024 - [c284]Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, Yan Wang, Qing Li, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang:
An Embodied Generalist Agent in 3D World. ICML 2024 - [c283]Long Ma, Yuanfei Wang, Fangwei Zhong, Song-Chun Zhu, Yizhou Wang:
Fast Peer Adaptation with Context-aware Exploration. ICML 2024 - [c282]Shuwen Qiu, Mingdian Liu, Hengli Li, Song-Chun Zhu, Zilong Zheng:
MindDial: Enhancing Conversational Agents with Theory-of-Mind for Common Ground Alignment and Negotiation. SIGDIAL 2024: 746-759 - [c281]Zhenliang Zhang, Zeyu Zhang, Ziyuan Jiao, Yao Su, Hangxin Liu, Wei Wang, Song-Chun Zhu:
On the Emergence of Symmetrical Reality. VR 2024: 639-649 - [i200]Yikai Qian, Tianle Wang, Xinyi Tong, Xin Jin, Duo Xu, Bo Zheng, Tiezheng Ge, Feng Yu, Song-Chun Zhu:
MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music. CoRR abs/2401.02678 (2024) - [i199]Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang, Bangcheng Yang, Pring Wong, Yifan Zhong, Xiaoyuan Zhang, Zhaowei Zhang, Nian Liu, Wei Wang, Yaodong Yang, Song-Chun Zhu:
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. CoRR abs/2401.10568 (2024) - [i198]Zhenliang Zhang, Zeyu Zhang, Ziyuan Jiao, Yao Su, Hangxin Liu, Wei Wang, Song-Chun Zhu:
On the Emergence of Symmetrical Reality. CoRR abs/2401.15132 (2024) - [i197]Long Ma, Yuanfei Wang, Fangwei Zhong, Song-Chun Zhu, Yizhou Wang:
Fast Peer Adaptation with Context-aware Exploration. CoRR abs/2402.02468 (2024) - [i196]Shu Wang, Muzhi Han, Ziyuan Jiao, Zeyu Zhang, Ying Nian Wu, Song-Chun Zhu, Hangxin Liu:
LLM3: Large Language Model-based Task and Motion Planning with Motion Failure Reasoning. CoRR abs/2403.11552 (2024) - [i195]Junfeng Ni, Yixin Chen, Bohan Jing, Nan Jiang, Bin Wang, Bo Dai, Yixin Zhu, Song-Chun Zhu, Siyuan Huang:
PhyRecon: Physically Plausible Neural Scene Reconstruction. CoRR abs/2404.16666 (2024) - [i194]Puhao Li, Tengyu Liu, Yuyang Li, Muzhi Han, Haoran Geng, Shu Wang, Yixin Zhu, Song-Chun Zhu, Siyuan Huang:
Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations. CoRR abs/2404.17521 (2024) - [i193]Qian Long, Fangwei Zhong, Mingdong Wu, Yizhou Wang, Song-Chun Zhu:
SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning. CoRR abs/2405.01839 (2024) - [i192]Muzhi Han, Yifeng Zhu, Song-Chun Zhu, Ying Nian Wu, Yuke Zhu:
InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning. CoRR abs/2405.19758 (2024) - [i191]Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng:
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. CoRR abs/2406.08002 (2024) - [i190]Zixia Jia, Mengmeng Wang, Baichen Tong, Song-Chun Zhu, Zilong Zheng:
LangSuitE: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments. CoRR abs/2406.16294 (2024) - [i189]Pengxiang Li, Zhi Gao, Bofei Zhang, Tao Yuan, Yuwei Wu, Mehrtash Harandi, Yunde Jia, Song-Chun Zhu, Qing Li:
FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models. CoRR abs/2407.11522 (2024) - [i188]Hangxin Liu, Qi Xie, Zeyu Zhang, Tao Yuan, Xiaokun Leng, Lining Sun, Song-Chun Zhu, Jingwen Zhang, Zhicheng He, Yao Su:
PR2: A Physics- and Photo-realistic Testbed for Embodied AI and Humanoid Robots. CoRR abs/2409.01559 (2024) - [i187]Zeyu Zhang, Sixu Yan, Muzhi Han, Zaijin Wang, Xinggang Wang, Song-Chun Zhu, Hangxin Liu:
M3Bench: Benchmarking Whole-body Motion Generation for Mobile Manipulation in 3D Scenes. CoRR abs/2410.06678 (2024) - [i186]Fanqi Kong, Yizhe Huang, Song-Chun Zhu, Siyuan Qi, Xue Feng:
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games. CoRR abs/2410.07863 (2024) - [i185]Xiaojuan Tang, Jiaqi Li, Yitao Liang, Song-Chun Zhu, Muhan Zhang, Zilong Zheng:
Mars: Situated Inductive Reasoning in an Open-World Environment. CoRR abs/2410.08126 (2024) - [i184]Sixu Yan, Zeyu Zhang, Muzhi Han, Zaijin Wang, Qi Xie, Zhitian Li, Zhehan Li, Hangxin Liu, Xinggang Wang, Song-Chun Zhu:
M2Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes. CoRR abs/2410.11402 (2024) - 2023
- [b1]Song-Chun Zhu, Ying Wu:
Computer Vision - Statistical Models for Marr's Paradigm. Springer 2023, ISBN 978-3-030-96529-7, pp. 1-344 - [j91]Song Bai, Philip H. S. Torr, Ranjay Krishna, Li Fei-Fei, Abhinav Gupta, Song-Chun Zhu:
Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6867-6869 (2023) - [c280]Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, Song-Chun Zhu:
Diffusion-based Generation, Optimization, and Planning in 3D Scenes. CVPR 2023: 16750-16761 - [c279]Yizhou Zhao, Yuanhong Zeng, Qian Long, Ying Nian Wu, Song-Chun Zhu:
Sim2Plan: Robot Motion Planning via Message Passing Between Simulation and Reality. FTC (1) 2023: 29-42 - [c278]Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu:
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events. ICCV 2023: 3969-3979 - [c277]Ran Gong, Jiangyong Huang, Yizhou Zhao, Haoran Geng, Xiaofeng Gao, Qingyang Wu, Wensi Ai, Ziheng Zhou, Demetri Terzopoulos, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang:
ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes. ICCV 2023: 20426-20438 - [c276]Qing Li, Siyuan Huang, Yining Hong, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics. ICLR 2023 - [c275]Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan:
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. ICLR 2023 - [c274]Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, Siyuan Huang:
SQA3D: Situated Question Answering in 3D Scenes. ICLR 2023 - [c273]Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu:
On the Complexity of Bayesian Generalization. ICML 2023: 31389-31407 - [c272]Weiqi Wang, Zihang Zhao, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu, Hangxin Liu:
Rearrange Indoor Scenes for Human-Robot Co-Activity. ICRA 2023: 11943-11949 - [c271]Zeyu Zhang, Muzhi Han, Baoxiong Jia, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu, Hangxin Liu:
Learning a Causal Transition Model for Object Cutting. IROS 2023: 1996-2003 - [c270]Zeyu Zhang, Lexing Zhang, Zaijin Wang, Ziyuan Jiao, Muzhi Han, Yixin Zhu, Song-Chun Zhu, Hangxin Liu:
Part-level Scene Reconstruction Affords Robot Interaction. IROS 2023: 11178-11185 - [c269]Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, Wenjuan Han, Chi Zhang, Yixin Zhu:
Evaluating and Inducing Personality in Pre-trained Language Models. NeurIPS 2023 - [c268]Hengli Li, Song-Chun Zhu, Zilong Zheng:
Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning. NeurIPS 2023 - [c267]Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao:
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. NeurIPS 2023 - [c266]Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie:
Learning non-Markovian Decision-Making from State-only Sequences. NeurIPS 2023 - [c265]Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. NeurIPS 2023 - [i183]Hangxin Liu, Zeyu Zhang, Ziyuan Jiao, Zhenliang Zhang, Minchen Li, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu:
Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps. CoRR abs/2301.05821 (2023) - [i182]Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, Song-Chun Zhu:
Diffusion-based Generation, Optimization, and Planning in 3D Scenes. CoRR abs/2301.06015 (2023) - [i181]Weiqi Wang, Zihang Zhao, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu, Hangxin Liu:
Rearrange Indoor Scenes for Human-Robot Co-Activity. CoRR abs/2303.05676 (2023) - [i180]Ran Gong, Jiangyong Huang, Yizhou Zhao, Haoran Geng, Xiaofeng Gao, Qingyang Wu, Wensi Ai, Ziheng Zhou, Demetri Terzopoulos, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang:
ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes. CoRR abs/2304.04321 (2023) - [i179]Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao:
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. CoRR abs/2304.09842 (2023) - [i178]Xiaojuan Tang, Zilong Zheng, Jiaqi Li, Fanxu Meng, Song-Chun Zhu, Yitao Liang, Muhan Zhang:
Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners. CoRR abs/2305.14825 (2023) - [i177]Zhaowei Zhang, Nian Liu, Siyuan Qi, Ceyao Zhang, Ziqi Rong, Song-Chun Zhu, Shuguang Cui, Yaodong Yang:
Heterogeneous Value Evaluation for Large Language Models. CoRR abs/2305.17147 (2023) - [i176]Hengli Li, Song-Chun Zhu, Zilong Zheng:
Diplomat: A Dialogue Dataset for Situated Pragmatic Reasoning. CoRR abs/2306.09030 (2023) - [i175]Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie:
Learning non-Markovian Decision-Making from State-only Sequences. CoRR abs/2306.15156 (2023) - [i174]Shuwen Qiu, Song-Chun Zhu, Zilong Zheng:
MindDial: Belief Dynamics Tracking with Theory-of-Mind Modeling for Situated Neural Dialogue Generation. CoRR abs/2306.15253 (2023) - [i173]Yuxi Ma, Chi Zhang, Song-Chun Zhu:
Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models. CoRR abs/2307.03762 (2023) - [i172]Yizhou Zhao, Yuanhong Zeng, Qian Long, Ying Nian Wu, Song-Chun Zhu:
Sim2Plan: Robot Motion Planning via Message Passing between Simulation and Reality. CoRR abs/2307.07862 (2023) - [i171]Zeyu Zhang, Lexing Zhang, Zaijin Wang, Ziyuan Jiao, Muzhi Han, Yixin Zhu, Song-Chun Zhu, Hangxin Liu:
Part-level Scene Reconstruction Affords Robot Interaction. CoRR abs/2307.16420 (2023) - [i170]Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu:
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events. CoRR abs/2308.10441 (2023) - [i169]Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang:
ProAgent: Building Proactive Cooperative AI with Large Language Models. CoRR abs/2308.11339 (2023) - [i168]Ran Gong, Qiuyuan Huang, Xiaojian Ma, Hoi Vo, Zane Durante, Yusuke Noda, Zilong Zheng, Song-Chun Zhu, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao:
MindAgent: Emergent Gaming Interaction. CoRR abs/2309.09971 (2023) - [i167]Pengyun Yue, Hanzhen Zhao, Cong Fang, Di He, Liwei Wang, Zhouchen Lin, Song-Chun Zhu:
CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity. CoRR abs/2309.13307 (2023) - [i166]Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. CoRR abs/2310.03218 (2023) - [i165]Rujie Wu, Xiaojian Ma, Qing Li, Wei Wang, Zhenliang Zhang, Song-Chun Zhu, Yizhou Wang:
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World. CoRR abs/2310.10207 (2023) - [i164]Jiaming Ji, Tianyi Qiu, Boyuan Chen, Borong Zhang, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Jiayi Zhou, Zhaowei Zhang, Fanzhi Zeng, Kwan Yee Ng, Juntao Dai, Xuehai Pan, Aidan O'Gara, Yingshan Lei, Hua Xu, Brian Tse, Jie Fu, Stephen McAleer, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Yike Guo, Wen Gao:
AI Alignment: A Comprehensive Survey. CoRR abs/2310.19852 (2023) - [i163]Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, Yan Wang, Qing Li, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang:
An Embodied Generalist Agent in 3D World. CoRR abs/2311.12871 (2023) - [i162]Ziheng Zhou, Yingnian Wu, Song-Chun Zhu, Demetri Terzopoulos:
Aligner: One Global Token is Worth Millions of Parameters When Aligning Large Language Models. CoRR abs/2312.05503 (2023) - [i161]Zhi Gao, Yuntao Du, Xintong Zhang, Xiaojian Ma, Wenjuan Han, Song-Chun Zhu, Qing Li:
CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update. CoRR abs/2312.10908 (2023) - 2022
- [j90]Muzhi Han, Zeyu Zhang, Ziyuan Jiao, Xu Xie, Yixin Zhu, Song-Chun Zhu, Hangxin Liu:
Scene Reconstruction with Functional Objects for Robot Autonomy. Int. J. Comput. Vis. 130(12): 2940-2961 (2022) - [j89]Xianglei Xing, Ruiqi Gao, Tian Han, Song-Chun Zhu, Ying Nian Wu:
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1162-1179 (2022) - [j88]Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu:
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2468-2484 (2022) - [j87]Tianfei Zhou, Siyuan Qi, Wenguan Wang, Jianbing Shen, Song-Chun Zhu:
Cascaded Parsing of Human-Object Interaction Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2827-2840 (2022) - [j86]Wenguan Wang, Tianfei Zhou, Siyuan Qi, Jianbing Shen, Song-Chun Zhu:
Hierarchical Human Semantic Parsing With Comprehensive Part-Relation Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3508-3522 (2022) - [j85]Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu:
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 3957-3973 (2022) - [j84]Yuanlu Xu, Wenguan Wang, Tengyu Liu, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu:
Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6327-6344 (2022) - [j83]Tengyu Liu, Zeyu Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu:
Synthesizing Diverse and Physically Stable Grasps With Arbitrary Hand Structures Using Differentiable Force Closure Estimator. IEEE Robotics Autom. Lett. 7(1): 470-477 (2022) - [j82]Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu:
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. IEEE Robotics Autom. Lett. 7(2): 2644-2651 (2022) - [j81]Zeyu Zhang, Ziyuan Jiao, Weiqi Wang, Yixin Zhu, Song-Chun Zhu, Hangxin Liu:
Understanding Physical Effects for Effective Tool-Use. IEEE Robotics Autom. Lett. 7(4): 9469-9476 (2022) - [j80]Luyao Yuan, Xiaofeng Gao, Zilong Zheng, Mark Edmonds, Ying Nian Wu, Federico Rossano, Hongjing Lu, Yixin Zhu, Song-Chun Zhu:
In situ bidirectional human-robot value alignment. Sci. Robotics 7(68) (2022) - [c264]Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu:
Learning from the Tangram to Solve Mini Visual Tasks. AAAI 2022: 3490-3498 - [c263]Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu:
Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion. AAAI 2022: 6674-6684 - [c262]Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu:
ValueNet: A New Dataset for Human Value Driven Dialogue System. AAAI 2022: 11183-11191 - [c261]Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu:
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. ECCV (39) 2022: 692-709 - [c260]Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar:
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. ICLR 2022 - [c259]Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu:
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. ICLR 2022 - [c258]Sirui Xie, Ari S. Morcos, Song-Chun Zhu, Ramakrishna Vedantam:
COAT: Measuring Object Compositionality in Emergent Representations. ICML 2022: 24388-24413 - [c257]Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu:
Latent Diffusion Energy-Based Model for Interpretable Text Modelling. ICML 2022: 25702-25720 - [c256]Ziyuan Jiao, Yida Niu, Zeyu Zhang, Song-Chun Zhu, Yixin Zhu, Hangxin Liu:
Sequential Manipulation Planning on Scene Graph. IROS 2022: 8203-8210 - [c255]Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang:
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS 2022 - [c254]Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu:
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM. NeurIPS 2022 - [c253]Baoxiong Jia, Ting Lei, Song-Chun Zhu, Siyuan Huang:
EgoTaskQA: Understanding Human Tasks in Egocentric Videos. NeurIPS 2022 - [c252]Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan:
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. NeurIPS 2022 - [c251]Xuehai Pan, Mickel Liu, Fangwei Zhong, Yaodong Yang, Song-Chun Zhu, Yizhou Wang:
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control. NeurIPS 2022 - [c250]Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Jungseock Joo, Song-Chun Zhu, Yixin Zhu:
Emergent Graphical Conventions in a Visual Communication Game. NeurIPS 2022 - [c249]Liang Qiu, Yizhou Zhao, Yuan Liang, Pan Lu, Weiyan Shi, Zhou Yu, Song-Chun Zhu:
Towards Socially Intelligent Agents with Mental State Transition and Human Value. SIGDIAL 2022: 146-158 - [i160]Arjun R. Akula, Song-Chun Zhu:
Effective Representation to Capture Collaboration Behaviors between Explainer and User. CoRR abs/2201.03147 (2022) - [i159]Arjun R. Akula, Song-Chun Zhu:
Discourse Analysis for Evaluating Coherence in Video Paragraph Captions. CoRR abs/2201.06207 (2022) - [i158]Arjun R. Akula, Song-Chun Zhu:
Attention cannot be an Explanation. CoRR abs/2201.11194 (2022) - [i157]Chao Xu, Yixin Chen, He Wang, Song-Chun Zhu, Yixin Zhu, Siyuan Huang:
PartAfford: Part-level Affordance Discovery from 3D Objects. CoRR abs/2202.13519 (2022) - [i156]Yizhou Zhao, Liang Qiu, Wensi Ai, Pan Lu, Song-Chun Zhu:
Triangular Character Animation Sampling with Motion, Emotion, and Relation. CoRR abs/2203.04930 (2022) - [i155]Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar:
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. CoRR abs/2204.11167 (2022) - [i154]Mitch Hill, Jonathan Mitchell, Chu Chen, Yuan Du, Mubarak Shah, Song-Chun Zhu:
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling. CoRR abs/2205.12243 (2022) - [i153]Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu:
Latent Diffusion Energy-Based Model for Interpretable Text Modeling. CoRR abs/2206.05895 (2022) - [i152]Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, Wenjuan Han, Chi Zhang, Yixin Zhu:
MPI: Evaluating and Inducing Personality in Pre-trained Language Models. CoRR abs/2206.07550 (2022) - [i151]Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu:
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. CoRR abs/2206.08686 (2022) - [i150]Manjie Xu, Guangyuan Jiang, Chi Zhang, Song-Chun Zhu, Yixin Zhu:
EST: Evaluating Scientific Thinking in Artificial Agents. CoRR abs/2206.09203 (2022) - [i149]Yizhou Zhao, Steven Gong, Xiaofeng Gao, Wensi Ai, Song-Chun Zhu:
VRKitchen2.0-IndoorKit: A Tutorial for Augmented Indoor Scene Building in Omniverse. CoRR abs/2206.11887 (2022) - [i148]Zeyu Zhang, Ziyuan Jiao, Weiqi Wang, Yixin Zhu, Song-Chun Zhu, Hangxin Liu:
Understanding Physical Effects for Effective Tool-use. CoRR abs/2206.14998 (2022) - [i147]Ziyuan Jiao, Yida Niu, Zeyu Zhang, Song-Chun Zhu, Yixin Zhu, Hangxin Liu:
Sequential Manipulation Planning on Scene Graph. CoRR abs/2207.04364 (2022) - [i146]Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan:
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. CoRR abs/2209.09513 (2022) - [i145]Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan:
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. CoRR abs/2209.14610 (2022) - [i144]Qing Li, Yixin Zhu, Yitao Liang, Ying Nian Wu, Song-Chun Zhu, Siyuan Huang:
Neural-Symbolic Recursive Machine for Systematic Generalization. CoRR abs/2210.01603 (2022) - [i143]Baoxiong Jia, Ting Lei, Song-Chun Zhu, Siyuan Huang:
EgoTaskQA: Understanding Human Tasks in Egocentric Videos. CoRR abs/2210.03929 (2022) - [i142]Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, Siyuan Huang:
SQA3D: Situated Question Answering in 3D Scenes. CoRR abs/2210.07474 (2022) - [i141]Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang:
RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding. CoRR abs/2210.14905 (2022) - [i140]Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu:
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM. CoRR abs/2210.16486 (2022) - [i139]Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu:
On the Complexity of Bayesian Generalization. CoRR abs/2211.11033 (2022) - 2021
- [j79]Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 516-531 (2021) - [j78]Siyuan Qi, Baoxiong Jia, Siyuan Huang, Ping Wei, Song-Chun Zhu:
A Generalized Earley Parser for Human Activity Parsing and Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2538-2554 (2021) - [j77]Quanshi Zhang, Xin Wang, Ying Nian Wu, Huilin Zhou, Song-Chun Zhu:
Interpretable CNNs for Object Classification. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3416-3431 (2021) - [j76]Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu:
Extraction of an Explanatory Graph to Interpret a CNN. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3863-3877 (2021) - [j75]Quanshi Zhang, Jie Ren, Ge Huang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3949-3963 (2021) - [c248]Yining Hong, Qing Li, Daniel Ciao, Siyuan Huang, Song-Chun Zhu:
Learning by Fixing: Solving Math Word Problems with Weak Supervision. AAAI 2021: 4959-4967 - [c247]Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu:
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation. AAAI 2021: 10430-10440 - [c246]Yining Hong, Qing Li, Ran Gong, Daniel Ciao, Siyuan Huang, Song-Chun Zhu:
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar. AAAI 2021: 13009-13017 - [c245]Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu, Song-Chun Zhu:
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues. ACL/IJCNLP (1) 2021: 658-670 - [c244]Zilong Zheng, Shuwen Qiu, Lifeng Fan, Yixin Zhu, Song-Chun Zhu:
GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning. ACL/IJCNLP (Findings) 2021: 2074-2085 - [c243]Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu:
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. ACL/IJCNLP (1) 2021: 6774-6786 - [c242]Lifeng Fan, Shuwen Qiu, Zilong Zheng, Tao Gao, Song-Chun Zhu, Yixin Zhu:
Learning Triadic Belief Dynamics in Nonverbal Communication From Videos. CVPR 2021: 7312-7321 - [c241]Chi Zhang, Baoxiong Jia, Song-Chun Zhu, Yixin Zhu:
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution. CVPR 2021: 9736-9746 - [c240]Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Ying Nian Wu:
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. CVPR 2021: 9959-9968 - [c239]Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu:
ACRE: Abstract Causal REasoning Beyond Covariation. CVPR 2021: 10643-10653 - [c238]Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification. CVPR 2021: 14976-14985 - [c237]Arjun R. Akula, Soravit Changpinyo, Boqing Gong, Piyush Sharma, Song-Chun Zhu, Radu Soricut:
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. EMNLP (1) 2021: 2148-2166 - [c236]Arjun R. Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy:
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. EMNLP (1) 2021: 6398-6416 - [c235]Yixin Chen, Qing Li, Deqian Kong, Yik Lun Kei, Song-Chun Zhu, Tao Gao, Yixin Zhu, Siyuan Huang:
YouRefIt: Embodied Reference Understanding with Language and Gesture. ICCV 2021: 1365-1375 - [c234]Yining Hong, Qing Li, Song-Chun Zhu, Siyuan Huang:
VLGrammar: Grounded Grammar Induction of Vision and Language. ICCV 2021: 1645-1654 - [c233]Siyuan Huang, Yichen Xie, Song-Chun Zhu, Yixin Zhu:
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds. ICCV 2021: 6515-6525 - [c232]Mitch Hill, Jonathan Craig Mitchell, Song-Chun Zhu:
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models. ICLR 2021 - [c231]Muzhi Han, Zeyu Zhang, Ziyuan Jiao, Xu Xie, Yixin Zhu, Song-Chun Zhu, Hangxin Liu:
Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments. ICRA 2021: 12199-12206 - [c230]Xu Xie, Chi Zhang, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance. ICRA 2021: 13693-13700 - [c229]Ziyuan Jiao, Zeyu Zhang, Xin Jiang, David Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu:
Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations. IROS 2021: 979-985 - [c228]Ziyuan Jiao, Zeyu Zhang, Weiqi Wang, David Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu:
Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective. IROS 2021: 8288-8294 - [c227]Arjun R. Akula, Varun Jampani, Soravit Changpinyo, Song-Chun Zhu:
Robust Visual Reasoning via Language Guided Neural Module Networks. NeurIPS 2021: 11041-11053 - [c226]Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
Unsupervised Foreground Extraction via Deep Region Competition. NeurIPS 2021: 14264-14279 - [c225]Ruiqi Gao, Jianwen Xie, Xue-Xin Wei, Song-Chun Zhu, Ying Nian Wu:
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling. NeurIPS 2021: 28623-28635 - [c224]Pan Lu, Liang Qiu, Jiaqi Chen, Tanglin Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu:
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning. NeurIPS Datasets and Benchmarks 2021 - [c223]Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L. Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu:
Iterative Teacher-Aware Learning. NeurIPS 2021: 29231-29245 - [i138]Sirui Xie, Xiaojian Ma, Peiyu Yu, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving. CoRR abs/2102.11344 (2021) - [i137]Qing Li, Siyuan Huang, Yining Hong, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
A HINT from Arithmetic: On Systematic Generalization of Perception, Syntax, and Semantics. CoRR abs/2103.01403 (2021) - [i136]Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu:
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. CoRR abs/2103.04077 (2021) - [i135]Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu:
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation. CoRR abs/2103.04285 (2021) - [i134]Liang Qiu, Yizhou Zhao, Yuan Liang, Pan Lu, Weiyan Shi, Zhou Yu, Song-Chun Zhu:
Towards Socially Intelligent Agents with Mental State Transition and Human Utility. CoRR abs/2103.07011 (2021) - [i133]Yining Hong, Qing Li, Song-Chun Zhu, Siyuan Huang:
VLGrammar: Grounded Grammar Induction of Vision and Language. CoRR abs/2103.12975 (2021) - [i132]Chi Zhang, Baoxiong Jia, Song-Chun Zhu, Yixin Zhu:
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution. CoRR abs/2103.14230 (2021) - [i131]Xu Xie, Chi Zhang, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance. CoRR abs/2103.14231 (2021) - [i130]Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu:
ACRE: Abstract Causal REasoning Beyond Covariation. CoRR abs/2103.14232 (2021) - [i129]Muzhi Han, Zeyu Zhang, Ziyuan Jiao, Xu Xie, Yixin Zhu, Song-Chun Zhu, Hangxin Liu:
Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments. CoRR abs/2103.16095 (2021) - [i128]Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Yingnian Wu:
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. CoRR abs/2104.01508 (2021) - [i127]Lifeng Fan, Shuwen Qiu, Zilong Zheng, Tao Gao, Song-Chun Zhu, Yixin Zhu:
Learning Triadic Belief Dynamics in Nonverbal Communication from Videos. CoRR abs/2104.02841 (2021) - [i126]Tengyu Liu, Zeyu Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu:
Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures by Differentiable Force Closure Estimation. CoRR abs/2104.09194 (2021) - [i125]Feng Shi, Ahren Yiqiao Jin, Song-Chun Zhu:
VersaGNN: a Versatile accelerator for Graph neural networks. CoRR abs/2105.01280 (2021) - [i124]Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu:
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. CoRR abs/2105.04165 (2021) - [i123]Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu, Song-Chun Zhu:
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues. CoRR abs/2106.01006 (2021) - [i122]Feng Shi, Chonghan Lee, Liang Qiu, Yizhou Zhao, Tianyi Shen, Shivran Muralidhar, Tian Han, Song-Chun Zhu, Vijaykrishnan Narayanan:
STAR: Sparse Transformer-based Action Recognition. CoRR abs/2107.07089 (2021) - [i121]Feng Shi, Chonghan Lee, Mohammad Khairul Bashar, Nikhil Shukla, Song-Chun Zhu, Vijaykrishnan Narayanan:
Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis. CoRR abs/2107.07116 (2021) - [i120]Ziyuan Jiao, Zeyu Zhang, Weiqi Wang, David Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu:
Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective. CoRR abs/2108.01259 (2021) - [i119]Ziyuan Jiao, Zeyu Zhang, Xin Jiang, David Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu:
Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations. CoRR abs/2108.01264 (2021) - [i118]Siyuan Huang, Yichen Xie, Song-Chun Zhu, Yixin Zhu:
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds. CoRR abs/2109.00179 (2021) - [i117]Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu:
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. CoRR abs/2109.01401 (2021) - [i116]Yixin Chen, Qing Li, Deqian Kong, Yik Lun Kei, Song-Chun Zhu, Tao Gao, Yixin Zhu, Siyuan Huang:
YouRefIt: Embodied Reference Understanding with Language and Gesture. CoRR abs/2109.03413 (2021) - [i115]Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, Song-Chun Zhu:
Emergence of Theory of Mind Collaboration in Multiagent Systems. CoRR abs/2110.00121 (2021) - [i114]Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L. Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu:
Iterative Teacher-Aware Learning. CoRR abs/2110.00137 (2021) - [i113]Pan Lu, Liang Qiu, Jiaqi Chen, Tony Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu:
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning. CoRR abs/2110.13214 (2021) - [i112]Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
Unsupervised Foreground Extraction via Deep Region Competition. CoRR abs/2110.15497 (2021) - [i111]Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu:
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. CoRR abs/2111.12990 (2021) - [i110]Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Song-Chun Zhu, Yixin Zhu:
Emergent Graphical Conventions in a Visual Communication Game. CoRR abs/2111.14210 (2021) - [i109]Yizhou Zhao, Wensi Ai, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu:
GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis. CoRR abs/2112.06060 (2021) - [i108]Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu:
Learning from the Tangram to Solve Mini Visual Tasks. CoRR abs/2112.06113 (2021) - [i107]Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu:
ValueNet: A New Dataset for Human Value Driven Dialogue System. CoRR abs/2112.06346 (2021) - 2020
- [j74]Jianwen Xie, Yang Lu, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Cooperative Training of Descriptor and Generator Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 27-45 (2020) - [j73]Zhixiong Nan, Tianmin Shu, Ran Gong, Shu Wang, Ping Wei, Song-Chun Zhu, Nanning Zheng:
Learning to infer human attention in daily activities. Pattern Recognit. 103: 107314 (2020) - [j72]Xinlei Wang, Yuxing Qiu, Stuart R. Slattery, Yu Fang, Minchen Li, Song-Chun Zhu, Yixin Zhu, Min Tang, Dinesh Manocha, Chenfanfu Jiang:
A massively parallel and scalable multi-CPU material point method. ACM Trans. Graph. 39(4): 30 (2020) - [c222]Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. AAAI 2020: 1283-1291 - [c221]Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu:
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning. AAAI 2020: 1332-1340 - [c220]Arjun R. Akula, Shuai Wang, Song-Chun Zhu:
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines. AAAI 2020: 2594-2601 - [c219]Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu:
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models. AAAI 2020: 5272-5280 - [c218]Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. AAAI 2020: 12442-12451 - [c217]Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy:
Words Aren't Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions. ACL 2020: 6555-6565 - [c216]Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu:
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. CVPR 2020: 7975-7984 - [c215]Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu:
Inducing Hierarchical Compositional Model by Sparsifying Generator Network. CVPR 2020: 14284-14293 - [c214]Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu:
A Competence-Aware Curriculum for Visual Concepts Learning via Question Answering. ECCV (2) 2020: 141-157 - [c213]Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu:
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference. ECCV (6) 2020: 361-378 - [c212]Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu:
LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities. ECCV (26) 2020: 767-786 - [c211]Liang Qiu, Yizhou Zhao, Weiyan Shi, Yuan Liang, Feng Shi, Tao Yuan, Zhou Yu, Song-Chun Zhu:
Structured Attention for Unsupervised Dialogue Structure Induction. EMNLP (1) 2020: 1889-1899 - [c210]Qing Li, Siyuan Huang, Yining Hong, Yixin Chen, Ying Nian Wu, Song-Chun Zhu:
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning. ICML 2020: 5884-5894 - [c209]Zeyu Zhang, Hangxin Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu:
Congestion-aware Evacuation Routing using Augmented Reality Devices. ICRA 2020: 2798-2804 - [c208]Tao Yuan, Hangxin Liu, Lifeng Fan, Zilong Zheng, Tao Gao, Yixin Zhu, Song-Chun Zhu:
Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs. ICRA 2020: 5972-5978 - [c207]Zhenliang Zhang, Yixin Zhu, Song-Chun Zhu:
Graph-based Hierarchical Knowledge Representation for Robot Task Transfer from Virtual to Physical World. IROS 2020: 11139-11145 - [c206]Shuwen Qiu, Hangxin Liu, Zeyu Zhang, Yixin Zhu, Song-Chun Zhu:
Human-Robot Interaction in a Shared Augmented Reality Workspace. IROS 2020: 11413-11418 - [c205]Bo Pang, Tian Han, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu:
Learning Latent Space Energy-Based Prior Model. NeurIPS 2020 - [c204]Xiaofeng Gao, Ran Gong, Yizhou Zhao, Shu Wang, Tianmin Shu, Song-Chun Zhu:
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks. RO-MAN 2020: 1119-1126 - [c203]Seng-Beng Ho, Mark Edmonds, Song-Chun Zhu:
Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics. SSCI 2020: 442-448 - [i106]Luyao Yuan, Zipeng Fu, Jingyue Shen, Lu Xu, Junhong Shen, Song-Chun Zhu:
Emergence of Pragmatics from Referential Game between Theory of Mind Agents. CoRR abs/2001.07752 (2020) - [i105]Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification. CoRR abs/2004.01301 (2020) - [i104]Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu:
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense. CoRR abs/2004.09044 (2020) - [i103]Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu:
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning. CoRR abs/2004.12193 (2020) - [i102]Zeyu Zhang, Hangxin Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu:
Congestion-aware Evacuation Routing using Augmented Reality Devices. CoRR abs/2004.12246 (2020) - [i101]Tao Yuan, Hangxin Liu, Lifeng Fan, Zilong Zheng, Tao Gao, Yixin Zhu, Song-Chun Zhu:
Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs. CoRR abs/2004.12248 (2020) - [i100]Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy:
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions. CoRR abs/2005.01655 (2020) - [i99]Mitch Hill, Jonathan Mitchell, Song-Chun Zhu:
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models. CoRR abs/2005.13525 (2020) - [i98]Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu:
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. CoRR abs/2006.06059 (2020) - [i97]Qing Li, Siyuan Huang, Yining Hong, Yixin Chen, Ying Nian Wu, Song-Chun Zhu:
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning. CoRR abs/2006.06649 (2020) - [i96]Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC. CoRR abs/2006.06897 (2020) - [i95]Bo Pang, Tian Han, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu:
Learning Latent Space Energy-Based Prior Model. CoRR abs/2006.08205 (2020) - [i94]Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
A Representational Model of Grid Cells Based on Matrix Lie Algebras. CoRR abs/2006.10259 (2020) - [i93]Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu:
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering. CoRR abs/2007.01499 (2020) - [i92]Shuwen Qiu, Hangxin Liu, Zeyu Zhang, Yixin Zhu, Song-Chun Zhu:
Human-Robot Interaction in a Shared Augmented Reality Workspace. CoRR abs/2007.12656 (2020) - [i91]Xiaofeng Gao, Ran Gong, Yizhou Zhao, Shu Wang, Tianmin Shu, Song-Chun Zhu:
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks. CoRR abs/2007.12803 (2020) - [i90]Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu:
LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities. CoRR abs/2007.15781 (2020) - [i89]Liang Qiu, Yizhou Zhao, Weiyan Shi, Yuan Liang, Feng Shi, Tao Yuan, Zhou Yu, Song-Chun Zhu:
Structured Attention for Unsupervised Dialogue Structure Induction. CoRR abs/2009.08552 (2020) - [i88]Yizhou Zhao, Liang Qiu, Wensi Ai, Feng Shi, Song-Chun Zhu:
Vertical-Horizontal Structured Attention for Generating Music with Chords. CoRR abs/2011.09078 (2020) - [i87]Yizhou Zhao, Song-Chun Zhu:
Weighted Entropy Modification for Soft Actor-Critic. CoRR abs/2011.09083 (2020) - [i86]Sirui Xie, Feng Gao, Song-Chun Zhu:
Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation. CoRR abs/2011.09854 (2020) - [i85]Yining Hong, Qing Li, Daniel Ciao, Siyuan Huang, Song-Chun Zhu:
Learning by Fixing: Solving Math Word Problems with Weak Supervision. CoRR abs/2012.10582 (2020) - [i84]Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu:
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. CoRR abs/2012.13522 (2020) - [i83]Yining Hong, Qing Li, Ran Gong, Daniel Ciao, Siyuan Huang, Song-Chun Zhu:
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar. CoRR abs/2012.14011 (2020)
2010 – 2019
- 2019
- [j71]Mark Edmonds, Feng Gao, Hangxin Liu, Xu Xie, Siyuan Qi, Brandon Rothrock, Yixin Zhu, Ying Nian Wu, Hongjing Lu, Song-Chun Zhu:
A tale of two explanations: Enhancing human trust by explaining robot behavior. Sci. Robotics 4(37) (2019) - [c202]Chi Zhang, Yixin Zhu, Song-Chun Zhu:
MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer. AAAI 2019: 1254-1261 - [c201]Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Learning Dynamic Generator Model by Alternating Back-Propagation through Time. AAAI 2019: 5498-5507 - [c200]Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-Chun Zhu:
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions. AAAI 2019: 8025-8033 - [c199]Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu:
Recognizing Unseen Attribute-Object Pair with Generative Model. AAAI 2019: 8811-8818 - [c198]Xu Xie, Hangxin Liu, Zhenliang Zhang, Yuxing Qiu, Feng Gao, Siyuan Qi, Yixin Zhu, Song-Chun Zhu:
VRGym: a virtual testbed for physical and interactive AI. ACM TUR-C 2019: 100:1-100:6 - [c197]Tianmin Shu, Yujia Peng, Hongjing Lu, Song-Chun Zhu:
Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space. CogSci 2019: 1048-1054 - [c196]Mark Edmonds, Siyuan Qi, Yixin Zhu, James Kubricht, Song-Chun Zhu, Hongjing Lu:
Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning. CogSci 2019: 1696-1702 - [c195]Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Natural Language Interaction with Explainable AI Models. CVPR Workshops 2019: 87-90 - [c194]Arjun R. Akula, Changsong Liu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Explainable AI as Collaborative Task Solving. CVPR Workshops 2019: 91-94 - [c193]Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu:
RAVEN: A Dataset for Relational and Analogical Visual REasoNing. CVPR 2019: 5317-5327 - [c192]Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu:
Reasoning Visual Dialogs With Structural and Partial Observations. CVPR 2019: 6669-6678 - [c191]Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu:
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model. CVPR 2019: 8670-8679 - [c190]Xianglei Xing, Tian Han, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network. CVPR 2019: 10354-10363 - [c189]Feng Shi, Haochen Li, Yuhe Gao, Benjamin Kuschner, Song-Chun Zhu:
Sparse Winograd Convolutional Neural Networks on Small-scale Systolic Arrays. FPGA 2019: 118 - [c188]Lifeng Fan, Wenguan Wang, Song-Chun Zhu, Xinyu Tang, Siyuan Huang:
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning. ICCV 2019: 5723-5732 - [c187]Yuanlu Xu, Song-Chun Zhu, Tony Tung:
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare. ICCV 2019: 7759-7769 - [c186]Yixin Chen, Siyuan Huang, Tao Yuan, Yixin Zhu, Siyuan Qi, Song-Chun Zhu:
Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense. ICCV 2019: 8647-8656 - [c185]Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion. ICLR (Poster) 2019 - [c184]Hangxin Liu, Zeyu Zhang, Yixin Zhu, Song-Chun Zhu:
Self-Supervised Incremental Learning for Sound Source Localization in Complex Indoor Environment. ICRA 2019: 2599-2605 - [c183]Hangxin Liu, Zhenliang Zhang, Xu Xie, Yixin Zhu, Yue Liu, Yongtian Wang, Song-Chun Zhu:
High-Fidelity Grasping in Virtual Reality using a Glove-based System. ICRA 2019: 5180-5186 - [c182]Xu Xie, Changyang Li, Chi Zhang, Yixin Zhu, Song-Chun Zhu:
Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning. IROS 2019: 1812-1817 - [c181]Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Learning Perceptual Inference by Contrasting. NeurIPS 2019: 1073-1085 - [c180]Erik Nijkamp, Mitch Hill, Song-Chun Zhu, Ying Nian Wu:
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model. NeurIPS 2019: 5233-5243 - [c179]Siyuan Huang, Yixin Chen, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu:
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points. NeurIPS 2019: 8903-8915 - [i82]Zenan Ling, Haotian Ma, Yu Yang, Robert C. Qiu, Song-Chun Zhu, Quanshi Zhang:
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks. CoRR abs/1901.02184 (2019) - [i81]Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu:
Interpretable CNNs. CoRR abs/1901.02413 (2019) - [i80]Xianglei Xing, Song-Chun Zhu, Ying Nian Wu:
Inducing Sparse Coding and And-Or Grammar from Generator Network. CoRR abs/1901.11494 (2019) - [i79]Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu:
Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model. CoRR abs/1902.02812 (2019) - [i78]Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1. CoRR abs/1902.03871 (2019) - [i77]Arjun R. Akula, Song-Chun Zhu:
Visual Discourse Parsing. CoRR abs/1903.02252 (2019) - [i76]Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu:
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing. CoRR abs/1903.02741 (2019) - [i75]Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Natural Language Interaction with Explainable AI Models. CoRR abs/1903.05720 (2019) - [i74]Xiaofeng Gao, Ran Gong, Tianmin Shu, Xu Xie, Shu Wang, Song-Chun Zhu:
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning. CoRR abs/1903.05757 (2019) - [i73]Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu:
On the Anatomy of MCMC-based Maximum Likelihood Learning of Energy-Based Models. CoRR abs/1903.12370 (2019) - [i72]Xu Xie, Hangxin Liu, Zhenliang Zhang, Yuxing Qiu, Feng Gao, Siyuan Qi, Yixin Zhu, Song-Chun Zhu:
VRGym: A Virtual Testbed for Physical and Interactive AI. CoRR abs/1904.01698 (2019) - [i71]Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu:
Reasoning Visual Dialogs with Structural and Partial Observations. CoRR abs/1904.05548 (2019) - [i70]Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu:
On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model. CoRR abs/1904.09770 (2019) - [i69]Feng Shi, Ziheng Xu, Tao Yuan, Song-Chun Zhu:
HUGE2: a Highly Untangled Generative-model Engine for Edge-computing. CoRR abs/1907.11210 (2019) - [i68]Yixin Chen, Siyuan Huang, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu:
Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense. CoRR abs/1909.01507 (2019) - [i67]Lifeng Fan, Wenguan Wang, Siyuan Huang, Xinyu Tang, Song-Chun Zhu:
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning. CoRR abs/1909.02144 (2019) - [i66]Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu:
Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks. CoRR abs/1909.04324 (2019) - [i65]Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust. CoRR abs/1909.06907 (2019) - [i64]Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns. CoRR abs/1909.11975 (2019) - [i63]Yuanlu Xu, Song-Chun Zhu, Tony Tung:
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare. CoRR abs/1910.00116 (2019) - [i62]Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning. CoRR abs/1911.11185 (2019) - [i61]Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. CoRR abs/1911.11294 (2019) - [i60]Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu:
Representation Learning: A Statistical Perspective. CoRR abs/1911.11374 (2019) - [i59]Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Learning Perceptual Inference by Contrasting. CoRR abs/1912.00086 (2019) - [i58]Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu:
Learning Deep Generative Models with Short Run Inference Dynamics. CoRR abs/1912.01909 (2019) - [i57]Siyuan Huang, Yixin Chen, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu:
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points. CoRR abs/1912.07744 (2019) - 2018
- [j70]Quanshi Zhang, Ying Nian Wu, Hao Zhang, Song-Chun Zhu:
Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations. Comput. Vis. Image Underst. 176-177: 33-44 (2018) - [j69]Chenfanfu Jiang, Siyuan Qi, Yixin Zhu, Siyuan Huang, Jenny Lin, Lap-Fai Yu, Demetri Terzopoulos, Song-Chun Zhu:
Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars. Int. J. Comput. Vis. 126(9): 920-941 (2018) - [j68]Quanshi Zhang, Song-Chun Zhu:
Visual interpretability for deep learning: a survey. Frontiers Inf. Technol. Electron. Eng. 19(1): 27-39 (2018) - [j67]Xiaobai Liu, Yibiao Zhao, Song-Chun Zhu:
Single-View 3D Scene Reconstruction and Parsing by Attribute Grammar. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 710-725 (2018) - [j66]Seyoung Park, Bruce Xiaohan Nie, Song-Chun Zhu:
Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1555-1569 (2018) - [j65]Dan Xie, Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
Learning and Inferring "Dark Matter" and Predicting Human Intents and Trajectories in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1639-1652 (2018) - [j64]Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu:
Perception of Human Interaction Based on Motion Trajectories: From Aerial Videos to Decontextualized Animations. Top. Cogn. Sci. 10(1): 225-241 (2018) - [c178]Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu:
Interpreting CNN Knowledge via an Explanatory Graph. AAAI 2018: 4454-4463 - [c177]Quanshi Zhang, Wenguan Wang, Song-Chun Zhu:
Examining CNN Representations With Respect to Dataset Bias. AAAI 2018: 4464-4473 - [c176]Haoshu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Song-Chun Zhu:
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation. AAAI 2018: 6821-6828 - [c175]Wei Liang, Yixin Zhu, Song-Chun Zhu:
Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions. AAAI 2018: 7106-7113 - [c174]Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu:
Scene-Centric Joint Parsing of Cross-View Videos. AAAI 2018: 7292-7299 - [c173]Mark Edmonds, James Kubricht, Colin Summers, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu, Hongjing Lu:
Human Causal Transfer: Challenges for Deep Reinforcement Learning. CogSci 2018 - [c172]Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu:
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects. CVPR 2018: 2178-2187 - [c171]Wenguan Wang, Yuanlu Xu, Jianbing Shen, Song-Chun Zhu:
Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification. CVPR 2018: 4271-4280 - [c170]Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, Song-Chun Zhu:
Human-Centric Indoor Scene Synthesis Using Stochastic Grammar. CVPR 2018: 5899-5908 - [c169]Lifeng Fan, Yixin Chen, Ping Wei, Wenguan Wang, Song-Chun Zhu:
Inferring Shared Attention in Social Scene Videos. CVPR 2018: 6460-6468 - [c168]Ping Wei, Yang Liu, Tianmin Shu, Nanning Zheng, Song-Chun Zhu:
Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks. CVPR 2018: 6801-6809 - [c167]Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu:
Learning Descriptor Networks for 3D Shape Synthesis and Analysis. CVPR 2018: 8629-8638 - [c166]Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu:
Interpretable Convolutional Neural Networks. CVPR 2018: 8827-8836 - [c165]Ruiqi Gao, Yang Lu, Junpei Zhou, Song-Chun Zhu, Ying Nian Wu:
Learning Generative ConvNets via Multi-Grid Modeling and Sampling. CVPR 2018: 9155-9164 - [c164]Siyuan Huang, Siyuan Qi, Yixin Zhu, Yinxue Xiao, Yuanlu Xu, Song-Chun Zhu:
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image. ECCV (7) 2018: 194-211 - [c163]Siyuan Qi, Wenguan Wang, Baoxiong Jia, Jianbing Shen, Song-Chun Zhu:
Learning Human-Object Interactions by Graph Parsing Neural Networks. ECCV (9) 2018: 407-423 - [c162]Siyuan Qi, Baoxiong Jia, Song-Chun Zhu:
Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction. ICML 2018: 4168-4176 - [c161]Xu Xie, Hangxin Liu, Mark Edmonds, Feng Gao, Siyuan Qi, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu:
Unsupervised Learning of Hierarchical Models for Hand-Object Interactions. ICRA 2018: 1-9 - [c160]Hangxin Liu, Yaofang Zhang, Wenwen Si, Xu Xie, Yixin Zhu, Song-Chun Zhu:
Interactive Robot Knowledge Patching Using Augmented Reality. ICRA 2018: 1947-1954 - [c159]Siyuan Qi, Song-Chun Zhu:
Intent-Aware Multi-Agent Reinforcement Learning. ICRA 2018: 7533-7540 - [c158]Siyuan Huang, Siyuan Qi, Yinxue Xiao, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation. NeurIPS 2018: 206-217 - [c157]Duotun Wang, James Kubricht, Yixin Zhu, Wei Liang, Song-Chun Zhu, Chenfanfu Jiang, Hongjing Lu:
Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events. VR 2018: 259-266 - [i56]Quanshi Zhang, Yu Yang, Ying Nian Wu, Song-Chun Zhu:
Interpreting CNNs via Decision Trees. CoRR abs/1802.00121 (2018) - [i55]Quanshi Zhang, Song-Chun Zhu:
Visual Interpretability for Deep Learning: a Survey. CoRR abs/1802.00614 (2018) - [i54]Mitch Hill, Erik Nijkamp, Song-Chun Zhu:
Building a Telescope to Look Into High-Dimensional Image Spaces. CoRR abs/1803.01043 (2018) - [i53]Siyuan Qi, Song-Chun Zhu:
Intent-aware Multi-agent Reinforcement Learning. CoRR abs/1803.02018 (2018) - [i52]Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu:
Learning Descriptor Networks for 3D Shape Synthesis and Analysis. CoRR abs/1804.00586 (2018) - [i51]Quanshi Zhang, Yu Yang, Ying Nian Wu, Song-Chun Zhu:
Network Transplanting. CoRR abs/1804.10272 (2018) - [i50]Quanshi Zhang, Yu Yang, Yuchen Liu, Ying Nian Wu, Song-Chun Zhu:
Unsupervised Learning of Neural Networks to Explain Neural Networks. CoRR abs/1805.07468 (2018) - [i49]Siyuan Qi, Baoxiong Jia, Song-Chun Zhu:
Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction. CoRR abs/1806.03497 (2018) - [i48]Xianglei Xing, Ruiqi Gao, Tian Han, Song-Chun Zhu, Ying Nian Wu:
Deformable Generator Network: Unsupervised Disentanglement of Appearance and Geometry. CoRR abs/1806.06298 (2018) - [i47]Siyuan Huang, Siyuan Qi, Yixin Zhu, Yinxue Xiao, Yuanlu Xu, Song-Chun Zhu:
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image. CoRR abs/1808.02201 (2018) - [i46]Siyuan Qi, Wenguan Wang, Baoxiong Jia, Jianbing Shen, Song-Chun Zhu:
Learning Human-Object Interactions by Graph Parsing Neural Networks. CoRR abs/1808.07962 (2018) - [i45]Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, Song-Chun Zhu:
Human-centric Indoor Scene Synthesis Using Stochastic Grammar. CoRR abs/1808.08473 (2018) - [i44]Tianmin Shu, Caiming Xiong, Ying Nian Wu, Song-Chun Zhu:
Interactive Agent Modeling by Learning to Probe. CoRR abs/1810.00510 (2018) - [i43]Feng Shi, Haochen Li, Yuhe Gao, Benjamin Kuschner, Song-Chun Zhu:
Sparse Winograd Convolutional neural networks on small-scale systolic arrays. CoRR abs/1810.01973 (2018) - [i42]Ying Nian Wu, Ruiqi Gao, Tian Han, Song-Chun Zhu:
A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models. CoRR abs/1810.04261 (2018) - [i41]Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion. CoRR abs/1810.05597 (2018) - [i40]Siyuan Huang, Siyuan Qi, Yinxue Xiao, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation. CoRR abs/1810.13049 (2018) - [i39]Tian Xu, Jiayu Zhan, Oliver G. B. Garrod, Philip H. S. Torr, Song-Chun Zhu, Robin A. A. Ince, Philippe G. Schyns:
Deeper Interpretability of Deep Networks. CoRR abs/1811.07807 (2018) - [i38]Chi Zhang, Yixin Zhu, Song-Chun Zhu:
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer. CoRR abs/1812.05233 (2018) - [i37]Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering. CoRR abs/1812.07996 (2018) - [i36]Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu:
Explanatory Graphs for CNNs. CoRR abs/1812.07997 (2018) - [i35]Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Learning Dynamic Generator Model by Alternating Back-Propagation Through Time. CoRR abs/1812.10587 (2018) - [i34]Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu:
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model. CoRR abs/1812.10907 (2018) - 2017
- [j63]Ping Wei, Yibiao Zhao, Nanning Zheng, Song-Chun Zhu:
Modeling 4D Human-Object Interactions for Joint Event Segmentation, Recognition, and Object Localization. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1165-1179 (2017) - [j62]Tianfu Wu, Yang Lu, Song-Chun Zhu:
Online Object Tracking, Learning and Parsing with And-Or Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2465-2480 (2017) - [j61]Weixin Li, Jungseock Joo, Hang Qi, Song-Chun Zhu:
Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph. IEEE Trans. Multim. 19(2): 367-381 (2017) - [j60]Tian Ye, Siyuan Qi, James Kubricht, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
The Martian: Examining Human Physical Judgments across Virtual Gravity Fields. IEEE Trans. Vis. Comput. Graph. 23(4): 1399-1408 (2017) - [c156]Tian Han, Yang Lu, Song-Chun Zhu, Ying Nian Wu:
Alternating Back-Propagation for Generator Network. AAAI 2017: 1976-1984 - [c155]Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. AAAI 2017: 2898-2906 - [c154]Yuanlu Xu, Xiaobai Liu, Lei Qin, Song-Chun Zhu:
Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing. AAAI 2017: 4299-4305 - [c153]Michael Walton, Doug Lange, Song-Chun Zhu:
Inferring Context Through Scene Understanding. AAAI Spring Symposia 2017 - [c152]James Kubricht, Yixin Zhu, Chenfanfu Jiang, Demetri Terzopoulos, Song-Chun Zhu, Hongjing Lu:
Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics. CogSci 2017 - [c151]Jenny Lin, Yixin Zhu, James Kubricht, Song-Chun Zhu, Hongjing Lu:
Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task. CogSci 2017 - [c150]Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu:
Inferring Human Interaction from Motion Trajectories in Aerial Videos. CogSci 2017 - [c149]Nishant Shukla, Yunzhong He, Frank Chen, Song-Chun Zhu:
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics. CoRL 2017: 448-457 - [c148]Amy Sue Fire, Song-Chun Zhu:
Inferring Hidden Statuses and Actions in Video by Causal Reasoning. CVPR Workshops 2017: 48-56 - [c147]Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet. CVPR 2017: 1061-1069 - [c146]Jianwen Xie, Yifei Xu, Erik Nijkamp, Ying Nian Wu, Song-Chun Zhu:
Generative Hierarchical Learning of Sparse FRAME Models. CVPR 2017: 1933-1941 - [c145]Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Mining Object Parts from CNNs via Active Question-Answering. CVPR 2017: 3890-3899 - [c144]Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. CVPR 2017: 4255-4263 - [c143]Siyuan Qi, Siyuan Huang, Ping Wei, Song-Chun Zhu:
Predicting Human Activities Using Stochastic Grammar. ICCV 2017: 1173-1181 - [c142]Yang Liu, Ping Wei, Song-Chun Zhu:
Jointly Recognizing Object Fluents and Tasks in Egocentric Videos. ICCV 2017: 2943-2951 - [c141]Bruce Xiaohan Nie, Ping Wei, Song-Chun Zhu:
Monocular 3D Human Pose Estimation by Predicting Depth on Joints. ICCV 2017: 3467-3475 - [c140]Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu:
Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions. ICRA 2017: 1669-1676 - [c139]Ping Wei, Dan Xie, Nanning Zheng, Song-Chun Zhu:
Inferring Human Attention by Learning Latent Intentions. IJCAI 2017: 1297-1303 - [c138]Chengcheng Yu, Xiaobai Liu, Song-Chun Zhu:
Single-Image 3D Scene Parsing Using Geometric Commonsense. IJCAI 2017: 4655-4661 - [c137]Mark Edmonds, Feng Gao, Xu Xie, Hangxin Liu, Siyuan Qi, Yixin Zhu, Brandon Rothrock, Song-Chun Zhu:
Feeling the force: Integrating force and pose for fluent discovery through imitation learning to open medicine bottles. IROS 2017: 3530-3537 - [c136]Hangxin Liu, Xu Xie, Matt Millar, Mark Edmonds, Feng Gao, Yixin Zhu, Veronica J. Santos, Brandon Rothrock, Song-Chun Zhu:
A glove-based system for studying hand-object manipulation via joint pose and force sensing. IROS 2017: 6617-6624 - [i33]Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu:
Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions. CoRR abs/1703.00503 (2017) - [i32]Chenfanfu Jiang, Yixin Zhu, Siyuan Qi, Siyuan Huang, Jenny Lin, Xingwen Guo, Lap-Fai Yu, Demetri Terzopoulos, Song-Chun Zhu:
Configurable, Photorealistic Image Rendering and Ground Truth Synthesis by Sampling Stochastic Grammars Representing Indoor Scenes. CoRR abs/1704.00112 (2017) - [i31]Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. CoRR abs/1704.03058 (2017) - [i30]Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Mining Object Parts from CNNs via Active Question-Answering. CoRR abs/1704.03173 (2017) - [i29]Siyuan Qi, Siyuan Huang, Ping Wei, Song-Chun Zhu:
Predicting Human Activities Using Stochastic Grammar. CoRR abs/1708.00945 (2017) - [i28]Quanshi Zhang, Ruiming Cao, Shengming Zhang, Mark Edmonds, Ying Nian Wu, Song-Chun Zhu:
Interactively Transferring CNN Patterns for Part Localization. CoRR abs/1708.01783 (2017) - [i27]Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu:
Interpreting CNN knowledge via an Explanatory Graph. CoRR abs/1708.01785 (2017) - [i26]Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu:
A Cost-Sensitive Visual Question-Answer Framework for Mining a Deep And-OR Object Semantics from Web Images. CoRR abs/1708.03911 (2017) - [i25]Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu:
Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs. CoRR abs/1709.05436 (2017) - [i24]Lei Qin, Yuanlu Xu, Xiaobai Liu, Song-Chun Zhu:
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions. CoRR abs/1709.05437 (2017) - [i23]Ruiqi Gao, Yang Lu, Junpei Zhou, Song-Chun Zhu, Ying Nian Wu:
Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence. CoRR abs/1709.08868 (2017) - [i22]Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu:
Interpretable Convolutional Neural Networks. CoRR abs/1710.00935 (2017) - [i21]Haoshu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Song-Chun Zhu:
Learning Knowledge-guided Pose Grammar Machine for 3D Human Pose Estimation. CoRR abs/1710.06513 (2017) - [i20]Quanshi Zhang, Wenguan Wang, Song-Chun Zhu:
Examining CNN representations with respect to Dataset Bias. CoRR abs/1710.10577 (2017) - 2016
- [j59]Tianfu Wu, Bo Li, Song-Chun Zhu:
Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1829-1843 (2016) - [j58]Jun Zhu, Tianfu Wu, Song-Chun Zhu, Xiaokang Yang, Wenjun Zhang:
A Reconfigurable Tangram Model for Scene Representation and Categorization. IEEE Trans. Image Process. 25(1): 150-166 (2016) - [j57]Amy Sue Fire, Song-Chun Zhu:
Learning Perceptual Causality from Video. ACM Trans. Intell. Syst. Technol. 7(2): 23:1-23:22 (2016) - [c135]Changsong Liu, Joyce Y. Chai, Nishant Shukla, Song-Chun Zhu:
Task Learning through Visual Demonstration and Situated Dialogue. AAAI Workshop: Symbiotic Cognitive Systems 2016 - [c134]Yang Lu, Song-Chun Zhu, Ying Nian Wu:
Learning FRAME Models Using CNN Filters. AAAI 2016: 1902-1910 - [c133]James Kubricht, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu, Demetri Terzopoulos, Hongjing Lu:
Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem. CogSci 2016 - [c132]Tianmin Shu, Steven M. Thurman, Dawn Chen, Song-Chun Zhu, Hongjing Lu:
Critical Features of Joint Actions that Signal Human Interaction. CogSci 2016 - [c131]Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu:
Recognizing Car Fluents from Video. CVPR 2016: 3803-3812 - [c130]Yixin Zhu, Chenfanfu Jiang, Yibiao Zhao, Demetri Terzopoulos, Song-Chun Zhu:
Inferring Forces and Learning Human Utilities from Videos. CVPR 2016: 3823-3833 - [c129]Yuanlu Xu, Xiaobai Liu, Yang Liu, Song-Chun Zhu:
Multi-view People Tracking via Hierarchical Trajectory Composition. CVPR 2016: 4256-4265 - [c128]Changsong Liu, Shaohua Yang, Sari Saba-Sadiya, Nishant Shukla, Yunzhong He, Song-Chun Zhu, Joyce Yue Chai:
Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration. EMNLP 2016: 1482-1492 - [c127]Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu:
A Theory of Generative ConvNet. ICML 2016: 2635-2644 - [c126]Caiming Xiong, Nishant Shukla, Wenlong Xiong, Song-Chun Zhu:
Robot learning with a spatial, temporal, and causal and-or graph. ICRA 2016: 2144-2151 - [c125]Wei Liang, Yibiao Zhao, Yixin Zhu, Song-Chun Zhu:
What Is Where: Inferring Containment Relations from Videos. IJCAI 2016: 3418-3424 - [c124]Tianmin Shu, Michael S. Ryoo, Song-Chun Zhu:
Learning Social Affordance for Human-Robot Interaction. IJCAI 2016: 3454-3461 - [c123]Steven Holtzen, Yibiao Zhao, Tao Gao, Joshua B. Tenenbaum, Song-Chun Zhu:
Inferring human intent from video by sampling hierarchical plans. IROS 2016: 1489-1496 - [c122]Shaohua Yang, Qiaozi Gao, Changsong Liu, Caiming Xiong, Song-Chun Zhu, Joyce Y. Chai:
Grounded Semantic Role Labeling. HLT-NAACL 2016: 149-159 - [c121]Yixin Zhu, Chenfanfu Jiang, Yibiao Zhao, Demetri Terzopoulos, Song-Chun Zhu:
Evaluating physical quantities and learning human utilities from RGBD videos. SIGGRAPH ASIA Virtual Reality meets Physical Reality 2016: 6:1-6:2 - [c120]Jenny Lin, Xingwen Guo, Jingyu Shao, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu:
A virtual reality platform for dynamic human-scene interaction. SIGGRAPH ASIA Virtual Reality meets Physical Reality 2016: 11:1-11:4 - [i19]Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu:
A Theory of Generative ConvNet. CoRR abs/1602.03264 (2016) - [i18]Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu:
Recognizing Car Fluents from Video. CoRR abs/1603.08067 (2016) - [i17]Tianmin Shu, Michael S. Ryoo, Song-Chun Zhu:
Learning Social Affordance for Human-Robot Interaction. CoRR abs/1604.03692 (2016) - [i16]Seyoung Park, Bruce Xiaohan Nie, Song-Chun Zhu:
Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose. CoRR abs/1605.02112 (2016) - [i15]Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Synthesizing Dynamic Textures and Sounds by Spatial-Temporal Generative ConvNet. CoRR abs/1606.00972 (2016) - [i14]Dan Xie, Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction. CoRR abs/1606.07827 (2016) - [i13]Tian Han, Yang Lu, Song-Chun Zhu, Ying Nian Wu:
Learning Generative ConvNet with Continuous Latent Factors by Alternating Back-Propagation. CoRR abs/1606.08571 (2016) - [i12]Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu:
Cooperative Training of Descriptor and Generator Networks. CoRR abs/1609.09408 (2016) - [i11]Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Multi-Shot Mining Semantic Part Concepts in CNNs. CoRR abs/1611.04246 (2016) - 2015
- [j56]Bo Zheng, Yibiao Zhao, Joey C. Yu, Katsushi Ikeuchi, Song-Chun Zhu:
Scene Understanding by Reasoning Stability and Safety. Int. J. Comput. Vis. 112(2): 221-238 (2015) - [j55]Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu:
Learning Sparse FRAME Models for Natural Image Patterns. Int. J. Comput. Vis. 114(2-3): 91-112 (2015) - [j54]Zhi Han, Zongben Xu, Song-Chun Zhu:
Video Primal Sketch: A Unified Middle-Level Representation for Video. J. Math. Imaging Vis. 53(2): 151-170 (2015) - [j53]Tianfu Wu, Song-Chun Zhu:
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 37(5): 1013-1027 (2015) - [j52]Wenze Hu, Song-Chun Zhu:
Learning 3D Object Templates by Quantizing Geometry and Appearance Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1190-1205 (2015) - [j51]Shuo Wang, Yizhou Wang, Song-Chun Zhu:
Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2478-2491 (2015) - [c119]Nishant Shukla, Caiming Xiong, Song-Chun Zhu:
A Unified Framework for Human-Robot Knowledge Transfer. AAAI Fall Symposia 2015: 125-127 - [c118]Yibiao Zhao, Steven Holtzen, Tao Gao, Song-Chun Zhu:
Represent and Infer Human Theory of Mind for Human-Robot Interaction. AAAI Fall Symposia 2015: 158- - [c117]Wei Liang, Yibiao Zhao, Yixin Zhu, Song-Chun Zhu:
Evaluating Human Cognition of Containing Relations with Physical Simulation. CogSci 2015 - [c116]Bruce Xiaohan Nie, Caiming Xiong, Song-Chun Zhu:
Joint action recognition and pose estimation from video. CVPR 2015: 1293-1301 - [c115]Yixin Zhu, Yibiao Zhao, Song-Chun Zhu:
Understanding tools: Task-oriented object modeling, learning and recognition. CVPR 2015: 2855-2864 - [c114]Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic, Song-Chun Zhu:
Joint inference of groups, events and human roles in aerial videos. CVPR 2015: 4576-4584 - [c113]Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu:
Mining And-Or Graphs for Graph Matching and Object Discovery. ICCV 2015: 55-63 - [c112]Seyoung Park, Song-Chun Zhu:
Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose. ICCV 2015: 2372-2380 - [c111]Jungseock Joo, Francis F. Steen, Song-Chun Zhu:
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face. ICCV 2015: 3712-3720 - [r2]Jin-Li Suo, Qionghai Dai, Song-Chun Zhu:
And-Or Graph Face Model and Its Applications in Artistic Sketching and Aging Simulation. Encyclopedia of Biometrics 2015: 28-35 - [i10]Tianfu Wu, Bo Li, Song-Chun Zhu:
Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. CoRR abs/1501.07359 (2015) - [i9]Zhi Han, Zongben Xu, Song-Chun Zhu:
Video Primal Sketch: A Unified Middle-Level Representation for Video. CoRR abs/1502.02965 (2015) - [i8]Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic, Song-Chun Zhu:
Joint Inference of Groups, Events and Human Roles in Aerial Videos. CoRR abs/1505.05957 (2015) - [i7]Tianfu Wu, Yang Lu, Song-Chun Zhu:
Online Object Tracking, Learning and Parsing with And-Or Graphs. CoRR abs/1509.08067 (2015) - [i6]Yang Lu, Song-Chun Zhu, Ying Nian Wu:
Learning FRAME Models Using CNN Filters for Knowledge Visualization. CoRR abs/1509.08379 (2015) - [i5]Hang Qi, Tianfu Wu, Mun Wai Lee, Song-Chun Zhu:
A Restricted Visual Turing Test for Deep Scene and Event Understanding. CoRR abs/1512.01715 (2015) - [i4]Weixin Li, Jungseock Joo, Hang Qi, Song-Chun Zhu:
Joint Image-Text News Topic Detection and Tracking with And-Or Graph Representation. CoRR abs/1512.04701 (2015) - 2014
- [j50]Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, Song Chun Zhu:
Joint Video and Text Parsing for Understanding Events and Answering Queries. IEEE Multim. 21(2): 42-70 (2014) - [j49]Benjamin Z. Yao, Bruce X. Nie, Zicheng Liu, Song-Chun Zhu:
Animated Pose Templates for Modeling and Detecting Human Actions. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 436-452 (2014) - [c110]Jungseock Joo, Weixin Li, Francis F. Steen, Song-Chun Zhu:
Visual Persuasion: Inferring Communicative Intents of Images. CVPR 2014: 216-223 - [c109]Xiaobai Liu, Yibiao Zhao, Song-Chun Zhu:
Single-View 3D Scene Parsing by Attributed Grammar. CVPR 2014: 684-691 - [c108]Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu:
Learning Inhomogeneous FRAME Models for Object Patterns. CVPR 2014: 1035-1042 - [c107]Jifeng Dai, Yi Hong, Wenze Hu, Song-Chun Zhu, Ying Nian Wu:
Unsupervised Learning of Dictionaries of Hierarchical Compositional Models. CVPR 2014: 2505-2512 - [c106]Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu, Song-Chun Zhu:
Cross-View Action Modeling, Learning, and Recognition. CVPR 2014: 2649-2656 - [c105]Yang Lu, Tianfu Wu, Song-Chun Zhu:
Online Object Tracking, Learning, and Parsing with And-Or Graphs. CVPR 2014: 3462-3469 - [c104]Bo Li, Tianfu Wu, Song-Chun Zhu:
Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model. ECCV (6) 2014: 652-667 - [c103]Maria Pavlovskaia, Kewei Tu, Song-Chun Zhu:
Mapping the Energy Landscape of Non-convex Optimization Problems. EMMCVPR 2014: 421-435 - [c102]Bo Zheng, Yibiao Zhao, Joey C. Yu, Katsushi Ikeuchi, Song-Chun Zhu:
Detecting potential falling objects by inferring human action and natural disturbance. ICRA 2014: 3417-3424 - [i3]Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu, Song-Chun Zhu:
Cross-view Action Modeling, Learning and Recognition. CoRR abs/1405.2941 (2014) - [i2]Maria Pavlovskaia, Kewei Tu, Song-Chun Zhu:
Mapping Energy Landscapes of Non-Convex Learning Problems. CoRR abs/1410.0576 (2014) - 2013
- [j48]Mingtao Pei, Zhangzhang Si, Benjamin Z. Yao, Song-Chun Zhu:
Learning and parsing video events with goal and intent prediction. Comput. Vis. Image Underst. 117(10): 1369-1383 (2013) - [j47]Zhangzhang Si, Song-Chun Zhu:
Learning AND-OR Templates for Object Recognition and Detection. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2189-2205 (2013) - [j46]Mingtian Zhao, Song Chun Zhu:
Abstract painting with interactive control of perceptual entropy. ACM Trans. Appl. Percept. 10(1): 5:1-5:21 (2013) - [j45]Liang Lin, Kun Zeng, Yizhou Wang, Ying-Qing Xu, Song Chun Zhu:
Video Stylization: Painterly Rendering and Optimization With Content Extraction. IEEE Trans. Circuits Syst. Video Technol. 23(4): 577-590 (2013) - [c101]Adrian Barbu, Maria Pavlovskaia, Song Chun Zhu:
Rates for Inductive Learning of Compositional Models. AAAI Workshop: Learning Rich Representations from Low-Level Sensors 2013 - [c100]Amy Sue Fire, Song-Chun Zhu:
Learning Perceptual Causality from Video. AAAI Workshop: Learning Rich Representations from Low-Level Sensors 2013 - [c99]Amy Sue Fire, Song-Chun Zhu:
Using Causal Induction in Humans to Learn and Infer Causality from Video. CogSci 2013 - [c98]Shuo Wang, Jungseock Joo, Yizhou Wang, Song Chun Zhu:
Weakly Supervised Learning for Attribute Localization in Outdoor Scenes. CVPR 2013: 3111-3118 - [c97]Yibiao Zhao, Song-Chun Zhu:
Scene Parsing by Integrating Function, Geometry and Appearance Models. CVPR 2013: 3119-3126 - [c96]Bo Zheng, Yibiao Zhao, Joey C. Yu, Katsushi Ikeuchi, Song-Chun Zhu:
Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics. CVPR 2013: 3127-3134 - [c95]Brandon Rothrock, Seyoung Park, Song-Chun Zhu:
Integrating Grammar and Segmentation for Human Pose Estimation. CVPR 2013: 3214-3221 - [c94]Xi Song, Tianfu Wu, Yunde Jia, Song-Chun Zhu:
Discriminatively Trained And-Or Tree Models for Object Detection. CVPR 2013: 3278-3285 - [c93]Jungseock Joo, Shuo Wang, Song-Chun Zhu:
Human Attribute Recognition by Rich Appearance Dictionary. ICCV 2013: 721-728 - [c92]Tianfu Wu, Song-Chun Zhu:
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. ICCV 2013: 753-760 - [c91]Jifeng Dai, Ying Nian Wu, Jie Zhou, Song-Chun Zhu:
Cosegmentation and Cosketch by Unsupervised Learning. ICCV 2013: 1305-1312 - [c90]Mohamed R. Amer, Sinisa Todorovic, Alan Fern, Song-Chun Zhu:
Monte Carlo Tree Search for Scheduling Activity Recognition. ICCV 2013: 1353-1360 - [c89]Dan Xie, Sinisa Todorovic, Song-Chun Zhu:
Inferring "Dark Matter" and "Dark Energy" from Videos. ICCV 2013: 2224-2231 - [c88]Bo Li, Wenze Hu, Tianfu Wu, Song-Chun Zhu:
Modeling Occlusion by Discriminative AND-OR Structures. ICCV 2013: 2560-2567 - [c87]Ping Wei, Nanning Zheng, Yibiao Zhao, Song-Chun Zhu:
Concurrent Action Detection with Structural Prediction. ICCV 2013: 3136-3143 - [c86]Ping Wei, Yibiao Zhao, Nanning Zheng, Song-Chun Zhu:
Modeling 4D Human-Object Interactions for Event and Object Recognition. ICCV 2013: 3272-3279 - [c85]Kewei Tu, Maria Pavlovskaia, Song Chun Zhu:
Unsupervised Structure Learning of Stochastic And-Or Grammars. NIPS 2013: 1322-1330 - [p3]Mingtian Zhao, Song Chun Zhu:
Artistic Rendering of Portraits. Image and Video-Based Artistic Stylisation 2013: 237-253 - [p2]Mingtian Zhao, Song Chun Zhu:
Erratum to: Artistic Rendering of Portraits. Image and Video-Based Artistic Stylisation 2013 - [p1]Wenze Hu, Zhangzhang Si, Song-Chun Zhu:
Structure vs. Appearance and 3D vs. 2D? A Numeric Answer. Shape Perception in Human and Computer Vision 2013: 237-248 - [i1]Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, Song Chun Zhu:
Joint Video and Text Parsing for Understanding Events and Answering Queries. CoRR abs/1308.6628 (2013) - 2012
- [j44]Haifeng Gong, Song Chun Zhu:
Intrackability: Characterizing Video Statistics and Pursuing Video Representations. Int. J. Comput. Vis. 97(3): 255-275 (2012) - [j43]Zhangzhang Si, Song-Chun Zhu:
Learning Hybrid Image Templates (HIT) by Information Projection. IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1354-1367 (2012) - [j42]Youdong Zhao, Haifeng Gong, Yunde Jia, Song-Chun Zhu:
Background modeling by subspace learning on spatio-temporal patches. Pattern Recognit. Lett. 33(9): 1134-1147 (2012) - [c84]Shuo Wang, Yizhou Wang, Song-Chun Zhu:
Hierarchical Space Tiling for Scene Modeling. ACCV (2) 2012: 796-810 - [c83]Mohamed R. Amer, Dan Xie, Mingtian Zhao, Sinisa Todorovic, Song Chun Zhu:
Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition. ECCV (4) 2012: 187-200 - [c82]Yang Lv, Benjamin Z. Yao, Yongtian Wang, Song-Chun Zhu:
Reconfigurable templates for robust vehicle detection and classification. WACV 2012: 321-328 - [c81]Jun Zhu, Tianfu Wu, Song-Chun Zhu, Xiaokang Yang, Wenjun Zhang:
Learning reconfigurable scene representation by tangram model. WACV 2012: 449-456 - 2011
- [j41]Tianfu Wu, Song Chun Zhu:
A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs. Int. J. Comput. Vis. 93(2): 226-252 (2011) - [j40]Jacob Porway, Song-Chun Zhu:
C4: Exploring Multiple Solutions in Graphical Models by Cluster Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 33(9): 1713-1727 (2011) - [c80]Zhangzhang Si, Mingtao Pei, Benjamin Z. Yao, Song-Chun Zhu:
Unsupervised learning of event AND-OR grammar and semantics from video. ICCV 2011: 41-48 - [c79]Mingtao Pei, Yunde Jia, Song-Chun Zhu:
Parsing video events with goal inference and intent prediction. ICCV 2011: 487-494 - [c78]Zhi Han, Zongben Xu, Song-Chun Zhu:
Video Primal Sketch: A generic middle-level representation of video. ICCV 2011: 1283-1290 - [c77]Wenze Hu, Ying Nian Wu, Song-Chun Zhu:
Image representation by active curves. ICCV 2011: 1808-1815 - [c76]Brandon Rothrock, Song-Chun Zhu:
Human parsing using stochastic and-or grammars and rich appearances. ICCV Workshops 2011: 640-647 - [c75]Zhangzhang Si, Song-Chun Zhu:
Unsupervised learning of stochastic AND-OR templates for object modeling. ICCV Workshops 2011: 648-655 - [c74]Jiangen Zhang, Wenze Hu, Benjamin Z. Yao, Yongtian Wang, Song-Chun Zhu:
Inferring social roles in long timespan video sequence. ICCV Workshops 2011: 1456-1463 - [c73]Yibiao Zhao, Song Chun Zhu:
Image Parsing with Stochastic Scene Grammar. NIPS 2011: 73-81 - [c72]Mingtian Zhao, Song Chun Zhu:
Portrait painting using active templates. NPAR 2011: 117-124 - [c71]Mingtian Zhao, Song Chun Zhu:
Customizing painterly rendering styles using stroke processes. NPAR 2011: 137-146 - 2010
- [j39]Jake Porway, Qiongchen Wang, Song Chun Zhu:
A Hierarchical and Contextual Model for Aerial Image Parsing. Int. J. Comput. Vis. 88(2): 254-283 (2010) - [j38]Ying Nian Wu, Zhangzhang Si, Haifeng Gong, Song Chun Zhu:
Learning Active Basis Model for Object Detection and Recognition. Int. J. Comput. Vis. 90(2): 198-235 (2010) - [j37]Jin-Li Suo, Song Chun Zhu, Shiguang Shan, Xilin Chen:
A Compositional and Dynamic Model for Face Aging. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 385-401 (2010) - [j36]Liang Lin, Xiaobai Liu, Song Chun Zhu:
Layered Graph Matching with Composite Cluster Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 32(8): 1426-1442 (2010) - [j35]Benjamin Z. Yao, Xiong Yang, Liang Lin, Mun Wai Lee, Song Chun Zhu:
I2T: Image Parsing to Text Description. Proc. IEEE 98(8): 1485-1508 (2010) - [j34]Song Chun Zhu, Kent Shi, Zhangzhang Si:
Learning explicit and implicit visual manifolds by information projection. Pattern Recognit. Lett. 31(8): 667-685 (2010) - [c70]Wenze Hu, Song Chun Zhu:
Learning a probabilistic model mixing 3D and 2D primitives for view invariant object recognition. CVPR 2010: 2273-2280 - [c69]Dengxin Dai, Tianfu Wu, Song Chun Zhu:
Discovering scene categories by information projection and cluster sampling. CVPR 2010: 3455-3462 - [c68]Xin Jin, Mingtian Zhao, Xiaowu Chen, Qinping Zhao, Song Chun Zhu:
Learning Artistic Lighting Template from Portrait Photographs. ECCV (4) 2010: 101-114 - [c67]Yibiao Zhao, Song Chun Zhu, Siwei Luo:
CO3 for ultra-fast and accurate interactive segmentation. ACM Multimedia 2010: 93-102 - [c66]Meng Meng, Mingtian Zhao, Song Chun Zhu:
Artistic paper-cut of human portraits. ACM Multimedia 2010: 931-934 - [c65]Liang Lin, Kun Zeng, Han Lv, Yizhou Wang, Yingqing Xu, Song Chun Zhu:
Painterly animation using video semantics and feature correspondence. NPAR 2010: 73-80 - [c64]Mingtian Zhao, Song Chun Zhu:
Sisley the abstract painter. NPAR 2010: 99-107
2000 – 2009
- 2009
- [j33]Feng Han, Song Chun Zhu:
Bottom-Up/Top-Down Image Parsing with Attribute Grammar. IEEE Trans. Pattern Anal. Mach. Intell. 31(1): 59-73 (2009) - [j32]Kun Zeng, Mingtian Zhao, Caiming Xiong, Song Chun Zhu:
From image parsing to painterly rendering. ACM Trans. Graph. 29(1): 2:1-2:11 (2009) - [c63]Zhangzhang Si, Haifeng Gong, Ying Nian Wu, Song Chun Zhu:
Learning mixed templates for object recognition. CVPR 2009: 272-279 - [c62]Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin:
Trajectory parsing by cluster sampling in spatio-temporal graph. CVPR 2009: 739-746 - [c61]Yang Cong, Haifeng Gong, Song Chun Zhu, Yandong Tang:
Flow mosaicking: Real-time pedestrian counting without scene-specific learning. CVPR 2009: 1093-1100 - [c60]Liang Lin, Kun Zeng, Xiaobai Liu, Song Chun Zhu:
Layered graph matching by composite cluster sampling with collaborative and competitive interactions. CVPR 2009: 1351-1358 - [c59]Xiong Yang, Tianfu Wu, Song Chun Zhu:
Evaluating information contributions of bottom-up and top-down processes. ICCV 2009: 1042-1049 - [c58]Benjamin Z. Yao, Song Chun Zhu:
Learning deformable action templates from cluttered videos. ICCV 2009: 1507-1514 - [r1]Feng Min, Jin-Li Suo, Song Chun Zhu:
And-Or Graph Model for Faces. Encyclopedia of Biometrics 2009: 36-40 - 2008
- [j31]Yizhou Wang, Song Chun Zhu:
Perceptual Scale-Space and Its Applications. Int. J. Comput. Vis. 80(1): 143-165 (2008) - [j30]Zijian Xu, Hong Chen, Song Chun Zhu, Jiebo Luo:
A Hierarchical Compositional Model for Face Representation and Sketching. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 955-969 (2008) - [c57]Wenze Hu, Haifeng Gong, Song Chun Zhu, Yongtian Wang:
An integrated background model for video surveillance based on primal sketch and 3D scene geometry. CVPR 2008 - [c56]Mun Wai Lee, Asaad Hakeem, Niels Haering, Song-Chun Zhu:
SAVE: A framework for semantic annotation of visual events. CVPR Workshops 2008: 1-8 - [c55]Jake Porway, Kristy Wang, Benjamin Z. Yao, Song Chun Zhu:
A hierarchical and contextual model for aerial image understanding. CVPR 2008 - [c54]Benjamin Z. Yao, Liang Wang, Song-Chun Zhu:
Learning a scene contextual model for tracking and abnormality detection. CVPR Workshops 2008: 1-8 - [c53]Jin-Li Suo, Tianfu Wu, Song Chun Zhu, Shiguang Shan, Xilin Chen, Wen Gao:
Design sparse features for age estimation using hierarchical face model. FG 2008: 1-6 - 2007
- [j29]Cheng-en Guo, Song Chun Zhu, Ying Nian Wu:
Primal sketch: Integrating structure and texture. Comput. Vis. Image Underst. 106(1): 5-19 (2007) - [j28]Feng Han, Song Chun Zhu:
A Two-Level Generative Model for Cloth Representation and Shape from Shading. IEEE Trans. Pattern Anal. Mach. Intell. 29(7): 1230-1243 (2007) - [j27]Ying Nian Wu, Jinhui Li, Ziqiang Liu, Song-Chun Zhu:
Statistical Principles in Image Modeling. Technometrics 49(3): 249-261 (2007) - [c52]Liang Lin, Song Chun Zhu, Yongtian Wang:
Layered Graph Match with Graph Editing. CVPR 2007 - [c51]Kent Shi, Song Chun Zhu:
Mapping Natural Image Patches by Explicit and Implicit Manifolds. CVPR 2007 - [c50]Jin-Li Suo, Feng Min, Song Chun Zhu, Shiguang Shan, Xilin Chen:
A Multi-Resolution Dynamic Model for Face Aging Simulation. CVPR 2007 - [c49]Tianfu Wu, Gui-Song Xia, Song Chun Zhu:
Compositional Boosting for Computing Hierarchical Image Structures. CVPR 2007 - [c48]Benjamin Z. Yao, Xiong Yang, Song Chun Zhu:
Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks. EMMCVPR 2007: 169-183 - [c47]Feng Min, Jin-Li Suo, Song Chun Zhu, Nong Sang:
An Automatic Portrait System Based on And-Or Graph Representation. EMMCVPR 2007: 184-197 - [c46]Shaowu Peng, Liang Lin, Jake Porway, Nong Sang, Song Chun Zhu:
Object Category Recognition Using Generative Template Boosting. EMMCVPR 2007: 198-212 - [c45]Ru-Xin Gao, Tianfu Wu, Song Chun Zhu, Nong Sang:
Bayesian Inference for Layer Representation with Mixed Markov Random Field. EMMCVPR 2007: 213-224 - [c44]Zheng Li, Haifeng Gong, Song Chun Zhu, Nong Sang:
Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis. EMMCVPR 2007: 350-361 - [c43]Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu, Yongtian Wang:
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples. ICCV 2007: 1-8 - [c42]Ying Nian Wu, Zhangzhang Si, Chuck Fleming, Song Chun Zhu:
Deformable Template As Active Basis. ICCV 2007: 1-8 - [e1]Alan L. Yuille, Song Chun Zhu, Daniel Cremers, Yongtian Wang:
Energy Minimization Methods in Computer Vision and Pattern Recognition, 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings. Lecture Notes in Computer Science 4679, Springer 2007, ISBN 978-3-540-74195-4 [contents] - 2006
- [j26]Song Chun Zhu, David Mumford:
A Stochastic Grammar of Images. Found. Trends Comput. Graph. Vis. 2(4): 259-362 (2006) - [j25]Zhuowen Tu, Song Chun Zhu:
Parsing Images into Regions, Curves, and Curve Groups. Int. J. Comput. Vis. 69(2): 223-249 (2006) - [j24]Hong Chen, Song Chun Zhu:
A Generative Sketch Model for Human Hair Analysis and Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 28(7): 1025-1040 (2006) - [c41]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition. Toward Category-Level Object Recognition 2006: 545-576 - [c40]Hong Chen, Zi Jian Xu, Ziqiang Liu, Song Chun Zhu:
Composite Templates for Cloth Modeling and Sketching. CVPR (1) 2006: 943-950 - 2005
- [j23]Song Chun Zhu, Cheng-en Guo, Yizhou Wang, Zijian Xu:
What are Textons? Int. J. Comput. Vis. 62(1-2): 121-143 (2005) - [j22]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition. Int. J. Comput. Vis. 63(2): 113-140 (2005) - [j21]Adrian Barbu, Song Chun Zhu:
Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities. IEEE Trans. Pattern Anal. Mach. Intell. 27(8): 1239-1253 (2005) - [c39]Hong Chen, Song Chun Zhu:
A Generative Model of Human Hair for Hair Sketching. CVPR (2) 2005: 74-81 - [c38]Zijian Xu, Hong Chen, Song Chun Zhu:
A High Resolution Grammatical Model for Face Representation and Sketching. CVPR (2) 2005: 470-477 - [c37]Feng Han, Song Chun Zhu:
Cloth Representation by Shape from Shading with Shading Primitives. CVPR (1) 2005: 1203-1210 - [c36]Yizhou Wang, Siavosh Bahrami, Song Chun Zhu:
Perceptual Scale Space and its Applications. ICCV 2005: 58-65 - [c35]Adrian Barbu, Song Chun Zhu:
Incorporating Visual Knowledge Representation in Stereo Reconstruction. ICCV 2005: 572-579 - [c34]Feng Han, Song Chun Zhu:
Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar. ICCV 2005: 1778-1785 - 2004
- [j20]Feng Han, Zhuowen Tu, Song Chun Zhu:
Range Image Segmentation by an Effective Jump-Diffusion Method. IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1138-1153 (2004) - [j19]Yizhou Wang, Song Chun Zhu:
Analysis and Synthesis of Textured Motion: Particles and Waves. IEEE Trans. Pattern Anal. Mach. Intell. 26(10): 1348-1363 (2004) - [c33]Feng Han, Song-Chun Zhu:
Automatic Single View Building Reconstruction by Integrating Segmentation. CVPR Workshops 2004: 53 - [c32]Cheng-en Guo, Ying Nian Wu, Song Chun Zhu:
Information Scaling Laws in Natural Scenes. CVPR Workshops 2004: 193 - [c31]Adrian Barbu, Song Chun Zhu:
Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition. CVPR (2) 2004: 731-738 - [c30]Yizhou Wang, Song Chun Zhu:
Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs. CVPR (1) 2004: 856-863 - [c29]Adrian Barbu, Song Chun Zhu:
On the Relationship Between Image and Motion Segmentation. SCVMA 2004: 51-63 - 2003
- [j18]Cheng-en Guo, Song Chun Zhu, Ying Nian Wu:
Modeling Visual Patterns by Integrating Descriptive and Generative Methods. Int. J. Comput. Vis. 53(1): 5-29 (2003) - [j17]Scott Konishi, Alan L. Yuille, James M. Coughlan, Song Chun Zhu:
Statistical Edge Detection: Learning and Evaluating Edge Cues. IEEE Trans. Pattern Anal. Mach. Intell. 25(1): 57-74 (2003) - [j16]Song Chun Zhu:
Statistical Modeling and Conceptualization of Visual Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 25(6): 691-712 (2003) - [c28]Feng Han, Song Chun Zhu:
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image. HLK 2003: 12-20 - [c27]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition. ICCV 2003: 18-25 - [c26]Yizhou Wang, Song Chun Zhu:
Modeling Textured Motion : Particle, Wave and Sketch. ICCV 2003: 213-220 - [c25]Aleksandr Dubinskiy, Song Chun Zhu:
A Multi-scale Generative Model for Animate Shapes and Parts. ICCV 2003: 249-256 - [c24]Adrian Barbu, Song Chun Zhu:
Graph Partition by Swendsen-Wang Cuts. ICCV 2003: 320-329 - [c23]Cheng-en Guo, Song Chun Zhu, Ying Nian Wu:
Towards a Mathematical Theory of Primal Sketch and Sketchability. ICCV 2003: 1228-1235 - 2002
- [j15]Zhuowen Tu, Song Chun Zhu:
Image Segmentation by Data-Driven Markov Chain Monte Carlo. IEEE Trans. Pattern Anal. Mach. Intell. 24(5): 657-673 (2002) - [j14]Song Chun Zhu, Xiuwen Liu:
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be? IEEE Trans. Pattern Anal. Mach. Intell. 24(7): 1001-1006 (2002) - [c22]Ying Nian Wu, Song Chun Zhu, Cheng-en Guo:
Statistical Modeling of Texture Sketch. ECCV (3) 2002: 240-254 - [c21]Zhuowen Tu, Song Chun Zhu:
Parsing Images into Region and Curve Processes. ECCV (3) 2002: 393-407 - [c20]Feng Han, Zhuowen Tu, Song Chun Zhu:
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction. ECCV (3) 2002: 502-516 - [c19]Yizhou Wang, Song Chun Zhu:
A Generative Method for Textured Motion: Analysis and Synthesis. ECCV (1) 2002: 583-598 - [c18]Song Chun Zhu, Cheng-en Guo, Ying Nian Wu, Yizhou Wang:
What Are Textons? ECCV (4) 2002: 793-807 - 2001
- [j13]Alan L. Yuille, Song Chun Zhu, David Mumford:
Introduction by Guest Editors. Int. J. Comput. Vis. 41(1/2): 7 (2001) - [j12]Alan L. Yuille, James M. Coughlan, Ying Nian Wu, Song Chun Zhu:
Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help? Int. J. Comput. Vis. 41(1/2): 9-33 (2001) - [c17]Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum:
Image Segmentation by Data Driven Markov Chain Monte Carlo. ICCV 2001: 131-138 - [c16]Ce Liu, Song Chun Zhu, Heung-Yeung Shum:
Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy. ICCV 2001: 281-287 - [c15]Cheng-en Guo, Song Chun Zhu, Ying Nian Wu:
Visual Learning by Integrating Descriptive and Generative Methods. ICCV 2001: 370-377 - [c14]Hong Chen, Ying-Qing Xu, Heung-Yeung Shum, Song Chun Zhu, Nanning Zheng:
Example-Based Facial Sketch Generation with Non-parametric Sampling. ICCV 2001: 433-438 - 2000
- [j11]Ying Nian Wu, Song Chun Zhu, Xiuwen Liu:
Equivalence of Julesz Ensembles and FRAME Models. Int. J. Comput. Vis. 38(3): 247-265 (2000) - [j10]Song Chun Zhu, Alan L. Yuille, David Mumford:
Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I. Int. J. Comput. Vis. 40(1): 5-6 (2000) - [j9]Song Chun Zhu, Xiuwen Liu, Ying Nian Wu:
Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture. IEEE Trans. Pattern Anal. Mach. Intell. 22(6): 554-569 (2000) - [c13]Alan L. Yuille, James M. Coughlan, Song Chun Zhu, Ying Nian Wu:
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help? CVPR 2000: 1558-1565 - [c12]Song Chun Zhu, Rong Zhang, Zhuowen Tu:
Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo. CVPR 2000: 1738-1745 - [c11]Song Chun Zhu, Xiuwen Liu:
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be? CVPR 2000: 2002-2008
1990 – 1999
- 1999
- [j8]Song Chun Zhu, Ying Nian Wu:
From local features to global perception - A perspective of Gestalt psychology from Markov random field theory. Neurocomputing 26-27: 939-945 (1999) - [j7]Song Chun Zhu:
Stochastic Jump-Diffusion Process for Computing Medial Axes in Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 21(11): 1158-1169 (1999) - [j6]Song Chun Zhu:
Embedding Gestalt Laws in Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 21(11): 1170-1187 (1999) - [c10]Scott Konishi, Alan L. Yuille, James M. Coughlan, Song Chun Zhu:
Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues. CVPR 1999: 1573-1579 - [c9]Ying Nian Wu, Song Chun Zhu, Xiuwen Liu:
Equivalence of Julesz and Gibbs Texture Ensembles. ICCV 1999: 1025-1032 - 1998
- [j5]Song Chun Zhu, Ying Nian Wu, David Mumford:
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling. Int. J. Comput. Vis. 27(2): 107-126 (1998) - [c8]Song Chun Zhu:
Stochastic Computation of Medial Axis in Markov Random Fields. CVPR 1998: 72-79 - [c7]Song Chun Zhu, David Mumford:
GRADE: Gibbs Reaction and Diffusion Equation. ICCV 1998: 847-856 - 1997
- [j4]Song Chun Zhu, Ying Nian Wu, David Mumford:
Minimax Entropy Principle and Its Application to Texture Modeling. Neural Comput. 9(8): 1627-1660 (1997) - [j3]Song Chun Zhu, David Mumford:
Prior Learning and Gibbs Reaction-Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 19(11): 1236-1250 (1997) - [c6]Song Chun Zhu, David Mumford:
Learning Generic Prior Models for Visual Computation. CVPR 1997: 463-469 - [c5]Song-Chun Zhu, Ying Nian Wu, David Mumford:
Modeling images and textures by minimax entropy. Human Vision and Electronic Imaging 1997: 387-401 - 1996
- [j2]Song Chun Zhu, Alan L. Yuille:
FORMS: A flexible object recognition and modelling system. Int. J. Comput. Vis. 20(3): 187-212 (1996) - [j1]Song Chun Zhu, Alan L. Yuille:
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 18(9): 884-900 (1996) - [c4]Song Chun Zhu, Ying Nian Wu, David Mumford:
FRAME: Filters, Random fields, and Minimax Entropy - Towards a Unified Theory for Texture Modeling. CVPR 1996: 686-693 - 1995
- [c3]Song Chun Zhu, Tai Sing Lee, Alan L. Yuille:
Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. ICCV 1995: 416- - [c2]Song Chun Zhu, Alan L. Yuille:
FORMS: A Flexible Object Recognition and Modelling System. ICCV 1995: 465-472 - 1994
- [c1]Song Chun Zhu, Alan L. Yuille:
A Framework for Shape Representation and Recognition. ICIP (1) 1994: 671-675
Coauthor Index
[c288] [c284] [i195] [i194] [c280] [c277] [c276] [c274] [i182] [i180] [i163] [c263] [c253] [i157] [i144] [i143] [i142] [j78] [c248] [c246] [c243] [c240] [c235] [c234] [c233] [i137] [i133] [i128] [i124] [i118] [i116] [c214] [c212] [c210] [i104] [i97] [i93] [i90] [i85] [i83] [c188] [c186] [c179] [i68] [i67] [i57] [j69] [c170] [c164] [c158] [i47] [i45] [i40] [c143] [i32] [i29]
Ying Nian Wu
aka: Yingnian Wu
aka: Yingnian Wu
[c288] [i196] [i192] [c279] [c276] [c275] [c273] [c267] [c265] [i179] [i172] [i166] [i162] [j89] [j88] [j85] [j80] [c263] [c261] [c259] [c257] [i153] [i145] [i144] [i139] [j79] [j77] [j76] [j75] [c247] [c245] [c240] [c238] [c230] [c226] [c225] [c223] [i138] [i137] [i135] [i131] [i128] [i123] [i114] [i112] [i111] [j74] [c219] [c218] [c216] [c215] [c213] [c210] [c205] [i105] [i104] [i98] [i97] [i96] [i95] [i94] [i84] [j71] [c201] [c191] [c190] [c185] [c180] [i81] [i80] [i79] [i78] [i73] [i70] [i66] [i64] [i61] [i60] [i58] [j70] [c178] [c167] [c166] [c165] [c158] [i56] [i52] [i51] [i50] [i48] [i44] [i42] [i41] [i40] [i37] [i36] [i35] [i34] [c156] [c155] [c147] [c146] [c145] [i30] [i28] [i27] [i26] [i23] [i22] [c134] [c127] [i19] [i15] [i13] [i12] [i11] [j55] [c113] [i6] [c108] [c107] [c91] [c77] [j38] [c63] [j29] [j27] [c42] [c32] [j18] [c23] [c22] [c18] [j12] [c15] [j11] [j9] [c13] [j8] [c9] [j5] [j4] [c5] [c4]
[c288] [i195] [i194] [c280] [c278] [c276] [c273] [c272] [c271] [c270] [c269] [i183] [i182] [i181] [i171] [i170] [j90] [j83] [j81] [j80] [c261] [c257] [c256] [c250] [i157] [i153] [i152] [i150] [i148] [i147] [i144] [i139] [c244] [c242] [c241] [c239] [c235] [c233] [c231] [c230] [c229] [c228] [c226] [i138] [i137] [i132] [i131] [i130] [i129] [i127] [i126] [i120] [i119] [i118] [i116] [i112] [i111] [i110] [j72] [c222] [c221] [c212] [c209] [c208] [c207] [c206] [i104] [i103] [i102] [i101] [i92] [i90] [j71] [c202] [c200] [c198] [c196] [c193] [c186] [c184] [c183] [c182] [c181] [c179] [i76] [i72] [i68] [i62] [i59] [i57] [j69] [c175] [c173] [c170] [c164] [c161] [c160] [c158] [c157] [i47] [i45] [i40] [i38] [j60] [c152] [c151] [c137] [c136] [i32] [c133] [c130] [c125] [c121] [c120] [c117] [c115]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-04 21:08 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
