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ORCIDRan Xu 0001
Person information
- affiliation: Salesforce Research, Salesforce AI Research,
Other persons with the same name
- Ran Xu — disambiguation page
- Ran Xu 0002
![[0000-0002-2189-0386]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2189-0386")
— Emory University, Department of Computer Science, Atlanta, GA, USA - Ran Xu 0003 — Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN, USA
- Ran Xu 0004 — University of California, Santa Cruz, Department of Computational Media, USA
- Ran Xu 0005 — Loughborough University, Department of Computer Science, UK
- Ran Xu 0006 — University of Connecticut, Department of Allied Health Sciences, Storrs, CT, USA (and 1 more)
- Ran Xu 0007 — Nanjing University of Posts and Telecommunications, Jiangsu Key Laboratory of Image Processing and Image Communications, China
- Ran Xu 0008 — Huawei Technologies Co., Cloud Database Innovation Lab of Cloud BU, Chengdu, China
- Ran Xu 0009 — University of Bristol, Centre for Communications Research, Department of Electrical and Electronic Engineering, UK
- Ran Xu 0010 — Canadian Surgical Technologies and Advanced Robotics, CSTAR, Lawson Health Research Institute, London, ON, Canada
- Ran Xu 0011 — Chinese Academy and Sciences, ThinkIT Speech Lab Institute of Acoustics, Beijing, China
- Ran Xu 0012 — Shaanxi Normal University, School of Computer Science, Xi'an, China
- Ran Xu 0013 — Peking University, National Key Laboratory for Multimedia Information Processing, School of Computer Science, China
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Journal Articles
- 2018
[j1]Gang Chen, Ran Xu, Zhi Yang:
Deep ranking structural support vector machine for image tagging. Pattern Recognit. Lett. 105: 30-38 (2018)
Conference and Workshop Papers
- 2024
- [c29]Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong:
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. ACL (1) 2024: 680-699 - [c28]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CVPR 2024: 9026-9036 - [c27]Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. CVPR 2024: 27081-27091 - [c26]Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao:
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. ECCV (9) 2024: 156-172 - [c25]Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. ECCV (20) 2024: 169-187 - [c24]Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles:
X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning. ECCV (45) 2024: 177-197 - [c23]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR 2024 - [c22]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c21]Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Caiming Xiong, Tom Goldstein, Juan Carlos Niebles, Ran Xu:
Hierarchical Point Attention for Indoor 3D Object Detection. ICRA 2024: 4245-4251 - 2023
- [c20]Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu:
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. AAAI 2023: 7314-7322 - [c19]Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding. CVPR 2023: 1179-1189 - [c18]Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu:
Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. CVPR 2023: 23539-23549 - [c17]Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu:
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. ICCV 2023: 23028-23039 - [c16]Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani:
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. ICCV 2023: 23543-23554 - [c15]Le Xue, Mingfei Gao, Zeyuan Chen, Caiming Xiong, Ran Xu:
Robustness Evaluation of Transformer-Based Form Field Extractors via Form Attacks. ICDAR (2) 2023: 167-184 - [c14]Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS 2023 - 2022
- [c13]Jun Wang, Mingfei Gao, Yuqian Hu, Ramprasaath R. Selvaraju, Chetan Ramaiah, Ran Xu, Joseph F. JáJá, Larry Davis:
TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation. BMVC 2022: 33 - [c12]Mingfei Gao, Le Xue, Chetan Ramaiah, Chen Xing, Ran Xu, Caiming Xiong:
DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like Documents. COLING 2022: 2141-2146 - [c11]Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah:
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework. CVPR 2022: 16639-16648 - [c10]Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong:
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels. ECCV (10) 2022: 266-282 - [c9]Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah:
Burn After Reading: Online Adaptation for Cross-domain Streaming Data. ECCV (33) 2022: 404-422 - 2021
- [c8]Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong:
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CVPR 2021: 1915-1923 - [c7]Peng Tang, Chetan Ramaiah, Yan Wang, Ran Xu, Caiming Xiong:
Proposal Learning for Semi-Supervised Object Detection. WACV 2021: 2290-2300 - 2016
- [c6]Gang Chen, Ran Xu, Sargur N. Srihari:
Sequential Labeling with Online Deep Learning: Exploring Model Initialization. ECML/PKDD (2) 2016: 772-788 - 2015
- [c5]Ran Xu, Caiming Xiong, Wei Chen, Jason J. Corso:
Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework. AAAI 2015: 2346-2352 - [c4]Jiasen Lu, Ran Xu, Jason J. Corso:
Human action segmentation with hierarchical supervoxel consistency. CVPR 2015: 3762-3771 - 2014
- [c3]Wei Chen, Caiming Xiong, Ran Xu, Jason J. Corso:
Actionness Ranking with Lattice Conditional Ordinal Random Fields. CVPR 2014: 748-755 - 2012
- [c2]Ran Xu, Priyanshu Agarwal, Suren Kumar, Venkat N. Krovi, Jason J. Corso:
Combining Skeletal Pose with Local Motion for Human Activity Recognition. AMDO 2012: 114-123 - [c1]Caiming Xiong, David M. Johnson, Ran Xu, Jason J. Corso:
Random forests for metric learning with implicit pairwise position dependence. KDD 2012: 958-966
Informal and Other Publications
- 2024
- [i39]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i38]Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese:
Text2Data: Low-Resource Data Generation with Textual Control. CoRR abs/2402.10941 (2024) - [i37]Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong:
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. CoRR abs/2402.18667 (2024) - [i36]Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao:
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. CoRR abs/2403.11299 (2024) - [i35]Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese:
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR abs/2406.10290 (2024) - [i34]Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Kumar Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt:
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens. CoRR abs/2406.11271 (2024) - [i33]Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i32]Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong:
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR abs/2408.12590 (2024) - [i31]Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh Murthy, Eric Hu, Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
xLAM: A Family of Large Action Models to Empower AI Agent Systems. CoRR abs/2409.03215 (2024) - [i30]Viraj Prabhu, Senthil Purushwalkam, An Yan, Caiming Xiong, Ran Xu:
Trust but Verify: Programmatic VLM Evaluation in the Wild. CoRR abs/2410.13121 (2024) - [i29]Michael S. Ryoo, Honglu Zhou, Shrikant Kendre, Can Qin, Le Xue, Manli Shu, Silvio Savarese, Ran Xu, Caiming Xiong, Juan Carlos Niebles:
xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs. CoRR abs/2410.16267 (2024) - [i28]Anas Awadalla, Le Xue, Manli Shu, An Yan, Jun Wang, Senthil Purushwalkam, Sheng Shen, Hannah Lee, Oscar Lo, Jae Sung Park, Etash Guha, Silvio Savarese, Ludwig Schmidt, Yejin Choi, Caiming Xiong, Ran Xu:
BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions. CoRR abs/2411.07461 (2024) - [i27]Jieyu Zhang, Le Xue, Linxin Song, Jun Wang, Weikai Huang, Manli Shu, An Yan, Zixian Ma, Juan Carlos Niebles, Silvio Savarese, Caiming Xiong, Zeyuan Chen, Ranjay Krishna, Ran Xu:
ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models. CoRR abs/2412.07012 (2024) - 2023
- [i26]Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
Model-Agnostic Hierarchical Attention for 3D Object Detection. CoRR abs/2301.02650 (2023) - [i25]Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani:
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. CoRR abs/2303.04991 (2023) - [i24]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR abs/2303.09618 (2023) - [i23]Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu:
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. CoRR abs/2303.10056 (2023) - [i22]Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu:
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. CoRR abs/2303.16891 (2023) - [i21]Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding. CoRR abs/2305.08275 (2023) - [i20]Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR abs/2305.11147 (2023) - [i19]Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
REX: Rapid Exploration and eXploitation for AI Agents. CoRR abs/2307.08962 (2023) - [i18]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR abs/2308.02151 (2023) - [i17]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR abs/2308.05960 (2023) - [i16]Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles:
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning. CoRR abs/2311.18799 (2023) - 2022
- [i15]Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah:
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework. CoRR abs/2204.13207 (2022) - [i14]Jun Wang, Mingfei Gao, Yuqian Hu, Ramprasaath R. Selvaraju, Chetan Ramaiah, Ran Xu, Joseph F. JáJá, Larry S. Davis:
TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation. CoRR abs/2208.01813 (2022) - [i13]Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu:
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. CoRR abs/2212.02758 (2022) - [i12]Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding. CoRR abs/2212.05171 (2022) - [i11]Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. CoRR abs/2212.09877 (2022) - 2021
- [i10]Mingfei Gao, Zeyuan Chen, Nikhil Naik, Kazuma Hashimoto, Caiming Xiong, Ran Xu:
Field Extraction from Forms with Unlabeled Data. CoRR abs/2110.04282 (2021) - [i9]Le Xue, Mingfei Gao, Zeyuan Chen, Caiming Xiong, Ran Xu:
Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks. CoRR abs/2110.04413 (2021) - [i8]Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong:
Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes. CoRR abs/2111.09452 (2021) - [i7]Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah:
Burn After Reading: Online Adaptation for Cross-domain Streaming Data. CoRR abs/2112.04345 (2021) - [i6]Mingfei Gao, Le Xue, Chetan Ramaiah, Chen Xing, Ran Xu, Caiming Xiong:
Value Retrieval with Arbitrary Queries for Form-like Documents. CoRR abs/2112.07820 (2021) - 2020
- [i5]Peng Tang, Chetan Ramaiah, Ran Xu, Caiming Xiong:
Proposal Learning for Semi-Supervised Object Detection. CoRR abs/2001.05086 (2020) - [i4]Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong:
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CoRR abs/2006.03732 (2020) - 2019
- [i3]Gang Chen, Dingcheng Li, Ran Xu:
Context-aware Active Multi-Step Reinforcement Learning. CoRR abs/1911.04107 (2019) - 2014
- [i2]Ran Xu, Gang Chen, Caiming Xiong, Wei Chen, Jason J. Corso:
Compositional Structure Learning for Action Understanding. CoRR abs/1410.5861 (2014) - 2012
- [i1]Caiming Xiong, David M. Johnson, Ran Xu, Jason J. Corso:
Random Forests for Metric Learning with Implicit Pairwise Position Dependence. CoRR abs/1201.0610 (2012)
Coauthor Index
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