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ORCIDXiangyu Yue 0001
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- affiliation: Chinese University of Hong Kong
- affiliation (former): University of California, Berkeley, USA
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2020 – today
- 2024
[c32]Zhanhui Zhou, Jie Liu, Jing Shao, Xiangyu Yue, Chao Yang, Wanli Ouyang, Yu Qiao:
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization. ACL (Findings) 2024: 10586-10613- [c31]Xiaohan Ding, Yiyuan Zhang, Yixiao Ge, Sijie Zhao, Lin Song, Xiangyu Yue, Ying Shan:
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition. CVPR 2024: 5513-5524 - [c30]Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue:
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. CVPR 2024: 6108-6117 - [c29]Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue:
OneLLM: One Framework to Align All Modalities with Language. CVPR 2024: 26574-26585 - [c28]Feng Wang, Haihang Ruan, Zhihuang Xie, Ronggang Wang, Xiangyu Yue:
SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information. DCC 2024: 590 - [c27]Zhixin Zhang, Yiyuan Zhang, Xiaohan Ding, Fusheng Jin, Xiangyu Yue:
Online Vectorized HD Map Construction Using Geometry. ECCV (49) 2024: 73-90 - [c26]Jiakang Yuan
, Bo Zhang, Kaixiong Gong, Xiangyu Yue, Botian Shi, Yu Qiao, Tao Chen:
Reg-TTA3D: Better Regression Makes Better Test-Time Adaptive 3D Object Detection. ECCV (43) 2024: 197-213 - [c25]Anzi Xu, Yujie Di, Xiangyu Yue, Lian-Kuan Chen:
Seeing through Wave - Real-time Beam Tracking via a ResNet-based Model in Water-air OWC Systems. OFC 2024: 1-3 - [i55]Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue:
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. CoRR abs/2401.14405 (2024) - [i54]Yiyuan Zhang, Yuhao Kang, Zhixin Zhang, Xiaohan Ding, Sanyuan Zhao, Xiangyu Yue:
InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions. CoRR abs/2402.03040 (2024) - [i53]Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang Yan, Yuliang Yan, Jiatong Li, Weiran Huang, Xiangyu Yue, Dongzhan Zhou, Shufei Zhang, Mao Su, Hansen Zhong, Yuqiang Li, Wanli Ouyang:
ChemLLM: A Chemical Large Language Model. CoRR abs/2402.06852 (2024) - [i52]Jinmei Liu, Wenbin Li, Xiangyu Yue, Shilin Zhang, Chunlin Chen, Zhi Wang:
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay. CoRR abs/2404.10662 (2024) - [i51]Zhendong Liu, Yuanbi Nie, Yingshui Tan, Xiangyu Yue, Qiushi Cui, Chongjun Wang, Xiaoyong Zhu, Bo Zheng:
Safety Alignment for Vision Language Models. CoRR abs/2405.13581 (2024) - [i50]Chenyu Huang, Peng Ye, Tao Chen, Tong He, Xiangyu Yue, Wanli Ouyang:
EMR-Merging: Tuning-Free High-Performance Model Merging. CoRR abs/2405.17461 (2024) - [i49]Feng Wang, Haihang Ruan, Zhihuang Xie, Ronggang Wang, Xiangyu Yue:
SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information. CoRR abs/2406.07645 (2024) - [i48]Yiyuan Zhang, Handong Li, Jing Liu, Xiangyu Yue:
Explore the Limits of Omni-modal Pretraining at Scale. CoRR abs/2406.09412 (2024) - [i47]Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Lirui Zhao, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Xiangyang Zhu, Si Liu, Xiangyu Yue, Dingning Liu, Wanli Ouyang, Ziwei Liu, Yu Qiao, Hongsheng Li, Peng Gao:
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT. CoRR abs/2406.18583 (2024) - [i46]Wenze Liu, Zixuan Ye, Hao Lu, Zhiguo Cao, Xiangyu Yue:
Training Matting Models without Alpha Labels. CoRR abs/2408.10539 (2024) - [i45]Dongyu Luo, Jianyu Wu, Jing Wang, Hairun Xie, Xiangyu Yue, Shixiang Tang:
DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics. CoRR abs/2409.13665 (2024) - [i44]Yiyuan Zhang, Xiaohan Ding, Xiangyu Yue:
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations. CoRR abs/2410.08049 (2024) - 2023
- [j5]Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Scenic: a language for scenario specification and data generation. Mach. Learn. 112(10): 3805-3849 (2023) - [c24]Eric Vin, Shun Kashiwa, Matthew Rhea, Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
3D Environment Modeling for Falsification and Beyond with Scenic 3.0. CAV (1) 2023: 253-265 - [c23]Changqi Wang, Haoyu Xie, Yuhui Yuan, Chong Fu, Xiangyu Yue:
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation. ICCV 2023: 931-942 - [c22]Min Liu, Alberto L. Sangiovanni-Vincentelli, Xiangyu Yue:
Beating Backdoor Attack at Its Own Game. ICCV 2023: 4597-4606 - [c21]Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You:
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models. ICCV 2023: 19068-19079 - [i43]Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You:
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models. CoRR abs/2303.06628 (2023) - [i42]Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, Hongsheng Li, Yu Qiao:
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model. CoRR abs/2304.15010 (2023) - [i41]Eric Vin, Shun Kashiwa, Matthew Rhea, Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
3D Environment Modeling for Falsification and Beyond with Scenic 3.0. CoRR abs/2307.03325 (2023) - [i40]Changqi Wang, Haoyu Xie, Yuhui Yuan, Chong Fu, Xiangyu Yue:
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation. CoRR abs/2307.09755 (2023) - [i39]Yiyuan Zhang, Kaixiong Gong, Kaipeng Zhang, Hongsheng Li, Yu Qiao, Wanli Ouyang, Xiangyu Yue:
Meta-Transformer: A Unified Framework for Multimodal Learning. CoRR abs/2307.10802 (2023) - [i38]Min Liu, Alberto L. Sangiovanni-Vincentelli, Xiangyu Yue:
Backdoor Defense with Non-Adversarial Backdoor. CoRR abs/2307.15539 (2023) - [i37]Yan Ma, Weicong Liang, Yiduo Hao, Bohan Chen, Xiangyu Yue, Chao Zhang, Yuhui Yuan:
Revisiting DETR Pre-training for Object Detection. CoRR abs/2308.01300 (2023) - [i36]Jiaming Han, Renrui Zhang, Wenqi Shao, Peng Gao, Peng Xu, Han Xiao, Kaipeng Zhang, Chris Liu, Song Wen, Ziyu Guo, Xudong Lu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Xiangyu Yue, Hongsheng Li, Yu Qiao:
ImageBind-LLM: Multi-modality Instruction Tuning. CoRR abs/2309.03905 (2023) - [i35]Zhanhui Zhou, Jie Liu, Chao Yang, Jing Shao, Yu Liu, Xiangyu Yue, Wanli Ouyang, Yu Qiao:
Beyond One-Preference-for-All: Multi-Objective Direct Preference Optimization for Language Models. CoRR abs/2310.03708 (2023) - [i34]Yiyuan Zhang, Kaixiong Gong, Xiaohan Ding, Kaipeng Zhang, Fangrui Lv, Kurt Keutzer, Xiangyu Yue:
Towards Unified and Effective Domain Generalization. CoRR abs/2310.10008 (2023) - [i33]Xiaohan Ding, Yiyuan Zhang, Yixiao Ge, Sijie Zhao, Lin Song, Xiangyu Yue, Ying Shan:
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition. CoRR abs/2311.15599 (2023) - [i32]Zhixin Zhang, Yiyuan Zhang, Xiaohan Ding, Fusheng Jin, Xiangyu Yue:
Online Vectorized HD Map Construction using Geometry. CoRR abs/2312.03341 (2023) - [i31]Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue:
OneLLM: One Framework to Align All Modalities with Language. CoRR abs/2312.03700 (2023) - 2022
- [j4]Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer:
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. IEEE Trans. Cybern. 52(10): 10000-10013 (2022) - [j3]Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(2): 473-493 (2022) - [j2]Yiyi He, Xiangyu Yue, Sarah Lindbergh, Jianxi Gao, Chuck Graves, Jasenka Rakas:
Dissecting lightning strike hazard impact patterns to National Airspace System facilities in the contiguous United States. Comput. Environ. Urban Syst. 91: 101735 (2022) - [c20]Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey H. Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos:
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data. AAAI 2022: 11792-11800 - [c19]Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models. ECCV (37) 2022: 638-656 - [c18]Haodi He, Yuhui Yuan, Xiangyu Yue, Han Hu:
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation. ECCV (29) 2022: 682-700 - [c17]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV 2022: 1050-1060 - [i30]Haodi He, Yuhui Yuan, Xiangyu Yue, Han Hu:
MLSeg: Image and Video Segmentation as Multi-Label Classification and Selected-Label Pixel Classification. CoRR abs/2203.04187 (2022) - [i29]Zangwei Zheng, Xiangyu Yue, Kai Wang, Yang You:
Prompt Vision Transformer for Domain Generalization. CoRR abs/2208.08914 (2022) - 2021
- [j1]Sicheng Zhao, Bo Li, Pengfei Xu, Xiangyu Yue, Guiguang Ding, Kurt Keutzer:
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. Int. J. Comput. Vis. 129(8): 2399-2424 (2021) - [c16]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation. CVPR 2021: 13834-13844 - [c15]Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner:
Unsupervised Point Cloud Pre-training via Occlusion Completion. ICCV 2021: 9762-9772 - [c14]Zangwei Zheng, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Scene-aware Learning Network for Radar Object Detection. ICMR 2021: 573-579 - [c13]Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer:
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. WWW 2021: 541-552 - [i28]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. CoRR abs/2103.12718 (2021) - [i27]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation. CoRR abs/2103.16765 (2021) - [i26]Chenfeng Xu, Shijia Yang, Bohan Zhai, Bichen Wu, Xiangyu Yue, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets. CoRR abs/2106.04180 (2021) - [i25]Zangwei Zheng, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Scene-aware Learning Network for Radar Object Detection. CoRR abs/2107.01469 (2021) - [i24]Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoff Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos:
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data. CoRR abs/2109.06486 (2021) - [i23]Xiangyu Yue, Zangwei Zheng, Colorado Reed, Hari Prasanna Das, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Multi-source Few-shot Domain Adaptation. CoRR abs/2109.12391 (2021) - [i22]Haojin Liao, Xiaolin Song, Sicheng Zhao, Shanghang Zhang, Xiangyu Yue, Xingxu Yao, Yueming Zhang, Tengfei Xing, Pengfei Xu, Qiang Wang:
2nd Place Solution for VisDA 2021 Challenge - Universally Domain Adaptive Image Recognition. CoRR abs/2110.14240 (2021) - 2020
- [c12]Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, Hassan Foroosh:
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. CVPR 2020: 9598-9607 - [i21]Sicheng Zhao, Bo Li, Xiangyu Yue, Pengfei Xu, Kurt Keutzer:
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. CoRR abs/2003.00820 (2020) - [i20]Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Hassan Foroosh:
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. CoRR abs/2003.14032 (2020) - [i19]Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI. CoRR abs/2007.06063 (2020) - [i18]Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Using Ensemble Classifiers to Detect Incipient Anomalies. CoRR abs/2008.08710 (2020) - [i17]Yingshui Tan, Baihong Jin, Qiushi Cui, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli:
Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation. CoRR abs/2008.08713 (2020) - [i16]Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. CoRR abs/2009.00155 (2020) - [i15]Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner:
Pre-Training by Completing Point Clouds. CoRR abs/2010.01089 (2020) - [i14]Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Scenic: A Language for Scenario Specification and Data Generation. CoRR abs/2010.06580 (2020) - [i13]Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer:
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. CoRR abs/2011.08678 (2020) - [i12]Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer:
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. CoRR abs/2011.12470 (2020) - [i11]Jay Shenoy, Edward Kim, Xiangyu Yue, Taesung Park, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia:
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving. CoRR abs/2011.14551 (2020)
2010 – 2019
- 2019
- [c11]Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong:
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data. ICCV 2019: 2100-2110 - [c10]Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer:
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. ICRA 2019: 4376-4382 - [c9]Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-source Domain Adaptation for Semantic Segmentation. NeurIPS 2019: 7285-7298 - [c8]Daniel J. Fremont, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Scenic: a language for scenario specification and scene generation. PLDI 2019: 63-78 - [i10]Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong:
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data. CoRR abs/1909.00889 (2019) - [i9]Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-source Domain Adaptation for Semantic Segmentation. CoRR abs/1910.12181 (2019) - 2018
- [c7]Sanjit A. Seshia, Ankush Desai, Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Sumukh Shivakumar, Marcell Vazquez-Chanlatte, Xiangyu Yue:
Formal Specification for Deep Neural Networks. ATVA 2018: 20-34 - [c6]Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer:
SqueezeNext: Hardware-Aware Neural Network Design. CVPR Workshops 2018: 1638-1647 - [c5]Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer:
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CVPR 2018: 9127-9135 - [c4]Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer:
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. ICRA 2018: 1887-1893 - [c3]Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Counterexample-Guided Data Augmentation. IJCAI 2018: 2071-2078 - [c2]Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer:
A Novel Domain Adaptation Framework for Medical Image Segmentation. BrainLes@MICCAI (2) 2018: 289-298 - [c1]Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving. ICMR 2018: 458-464 - [i8]Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer:
SqueezeNext: Hardware-Aware Neural Network Design. CoRR abs/1803.10615 (2018) - [i7]Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving. CoRR abs/1804.00103 (2018) - [i6]Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Counterexample-Guided Data Augmentation. CoRR abs/1805.06962 (2018) - [i5]Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer:
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. CoRR abs/1809.08495 (2018) - [i4]Daniel J. Fremont, Xiangyu Yue, Tommaso Dreossi, Shromona Ghosh, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Scenic: Language-Based Scene Generation. CoRR abs/1809.09310 (2018) - [i3]Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer:
A Novel Domain Adaptation Framework for Medical Image Segmentation. CoRR abs/1810.05732 (2018) - 2017
- [i2]Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer:
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. CoRR abs/1710.07368 (2017) - [i1]Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer:
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CoRR abs/1711.08141 (2017)
Coauthor Index
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