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2025
[j7]
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Garvita Allabadi, Ana Lucic, Yu-Xiong Wang, Vikram S. Adve:
Learning to Detect Novel Species with SAM in the Wild. Int. J. Comput. Vis. 133(5): 2247-2258 (2025)
[c95]
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  - conf/iclr/0002W25a
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Jiahua Dong, Yu-Xiong Wang:
3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing. ICLR 2025
[c94]
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  - conf/iclr/LuCW25
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Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang:
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning. ICLR 2025
[c93]
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  - conf/iclr/PangXW25
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Ziqi Pang, Xin Xu, Yu-Xiong Wang:
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception. ICLR 2025
[c92]
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  - conf/iclr/YangW25
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Qianlan Yang, Yu-Xiong Wang:
RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning. ICLR 2025
[i86]
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  - journals/corr/abs-2502-20390
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Sirui Xu, Hung Yu Ling, Yu-Xiong Wang, Liang-Yan Gui:
InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions. CoRR abs/2502.20390 (2025)
[i85]
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  - journals/corr/abs-2503-10634
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Yanming Zhang, Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang:
V2Edit: Versatile Video Diffusion Editor for Videos and 3D Scenes. CoRR abs/2503.10634 (2025)
[i84]
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  - journals/corr/abs-2504-07962
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Lang Lin, Xueyang Yu, Ziqi Pang, Yu-Xiong Wang:
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation. CoRR abs/2504.07962 (2025)
[i83]
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  - journals/corr/abs-2504-10568
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Aruna Gauba, Irene Pi, Yunze Man, Ziqi Pang, Vikram S. Adve, Yu-Xiong Wang:
AgMMU: A Comprehensive Agricultural Multimodal Understanding and Reasoning Benchmark. CoRR abs/2504.10568 (2025)
[i82]
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  - journals/corr/abs-2504-11457
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Ziqi Pang, Xin Xu, Yu-Xiong Wang:
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception. CoRR abs/2504.11457 (2025)
[i81]
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  - journals/corr/abs-2504-16082
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Ziqi Pang, Yu-Xiong Wang:
MR. Video: "MapReduce" is the Principle for Long Video Understanding. CoRR abs/2504.16082 (2025)
2024
[j6]
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  - journals/kais/XuDWLT24
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Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized few-shot node classification: toward an uncertainty-based solution. Knowl. Inf. Syst. 66(2): 1205-1229 (2024)
[c91]
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  - conf/acl/SunSCLLSGGWYKD24
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Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) 2024: 13088-13110
[c90]
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  - conf/cvpr/ManGW24
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Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
Situational Awareness Matters in 3D Vision Language Reasoning. CVPR 2024: 13678-13688
[c89]
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  - conf/cvpr/Shlapentokh-Rothman24
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Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman TV, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem:
Region-Based Representations Revisited. CVPR 2024: 17107-17116
[c88]
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  - conf/cvpr/ZhouPW24
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Junbao Zhou, Ziqi Pang, Yu-Xiong Wang:
RMem: Restricted Memory Banks Improve Video Object Segmentation. CVPR 2024: 18602-18611
[c87]
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  - conf/cvpr/MouCW24
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Linzhan Mou, Jun-Kun Chen, Yu-Xiong Wang:
Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion. CVPR 2024: 20176-20185
[c86]
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  - conf/cvpr/ChenBMPKW24
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Jun-Kun Chen, Samuel Rota Bulò, Norman Müller, Lorenzo Porzi, Peter Kontschieder, Yu-Xiong Wang:
ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing. CVPR 2024: 21071-21080
[c85]
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  - conf/cvpr/ZhangCW24
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Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang:
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. CVPR 2024: 21413-21423
[c84]
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  - conf/eccv/QiuWH24
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Ri-Zhao Qiu, Yu-Xiong Wang, Kris Hauser:
AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation. ECCV (41) 2024: 384-400
[c83]
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  - conf/iclr/CaoGK0ZZNGSW24
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Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. ICLR 2024
[c82]
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  - conf/iclr/GhaffariSSWBS24
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Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha:
Robust Model-Based Optimization for Challenging Fitness Landscapes. ICLR 2024
[c81]
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  - conf/iclr/PangXMW24
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Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang:
Frozen Transformers in Language Models Are Effective Visual Encoder Layers. ICLR 2024
[c80]
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  - conf/icml/YanSW24
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Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. ICML 2024
[c79]
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  - conf/icml/YangW24
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Qianlan Yang, Yu-Xiong Wang:
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories. ICML 2024
[c78]
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  - conf/icml/ZhouYSWW24
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Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang:
Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models. ICML 2024
[c77]
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  - conf/icse/DarnellCCGWA24
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Benjamin Darnell, Hetarth Chopra, Aaron Councilman, David Grove, Yu-Xiong Wang, Vikram S. Adve:
An Empirical Comparison of Code Generation Approaches for Ansible. InteNSE 2024: 1-6
[c76]
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  - conf/nips/0002WWG24
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Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liangyan Gui:
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction. NeurIPS 2024
[c75]
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  - conf/nips/ChenW24
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Junkun Chen, Yu-Xiong Wang:
ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing. NeurIPS 2024
[c74]
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  - conf/nips/JinPGWY024
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Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han:
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs. NeurIPS 2024
[c73]
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  - conf/nips/ManZBHGW24
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Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liangyan Gui, Yu-Xiong Wang:
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding. NeurIPS 2024
[c72]
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  - conf/nips/YanSW24
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Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers. NeurIPS 2024
[c71]
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  - conf/nips/YangMCW24
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Xiuyu Yang, Yunze Man, Junkun Chen, Yu-Xiong Wang:
SceneCraft: Layout-Guided 3D Scene Generation. NeurIPS 2024
[c70]
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  - conf/siggraph/BaoLSWH24
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Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert:
Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) 2024: 103
[i80]
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  - journals/corr/abs-2402-00864
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Jiahua Dong, Yu-Xiong Wang:
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. CoRR abs/2402.00864 (2024)
[i79]
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  - journals/corr/abs-2402-02352
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Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman TV, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem:
Region-Based Representations Revisited. CoRR abs/2402.02352 (2024)
[i78]
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  - journals/corr/abs-2402-03311
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Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. CoRR abs/2402.03311 (2024)
[i77]
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  - journals/corr/abs-2402-18490
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Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang:
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. CoRR abs/2402.18490 (2024)
[i76]
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  - journals/corr/abs-2403-19652
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Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liang-Yan Gui:
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction. CoRR abs/2403.19652 (2024)
[i75]
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  - journals/corr/abs-2404-12386
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Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. CoRR abs/2404.12386 (2024)
[i74]
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  - journals/corr/abs-2406-04323
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Qianlan Yang, Yu-Xiong Wang:
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories. CoRR abs/2406.04323 (2024)
[i73]
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  - journals/corr/abs-2406-07544
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Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
Situational Awareness Matters in 3D Vision Language Reasoning. CoRR abs/2406.07544 (2024)
[i72]
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  - journals/corr/abs-2406-08476
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Junbao Zhou, Ziqi Pang, Yu-Xiong Wang:
RMem: Restricted Memory Banks Improve Video Object Segmentation. CoRR abs/2406.08476 (2024)
[i71]
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  - journals/corr/abs-2406-09402
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Linzhan Mou, Jun-Kun Chen, Yu-Xiong Wang:
Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion. CoRR abs/2406.09402 (2024)
[i70]
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  - journals/corr/abs-2406-09404
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Jun-Kun Chen, Samuel Rota Bulò, Norman Müller, Lorenzo Porzi, Peter Kontschieder, Yu-Xiong Wang:
ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing. CoRR abs/2406.09404 (2024)
[i69]
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  - journals/corr/abs-2407-18914
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Yunze Man, Yichen Sheng, Jianming Zhang, Liang-Yan Gui, Yu-Xiong Wang:
Floating No More: Object-Ground Reconstruction from a Single Image. CoRR abs/2407.18914 (2024)
[i68]
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  - journals/corr/abs-2409-03757
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Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, Yu-Xiong Wang:
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding. CoRR abs/2409.03757 (2024)
[i67]
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  - journals/corr/abs-2410-07157
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Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han:
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs. CoRR abs/2410.07157 (2024)
[i66]
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  - journals/corr/abs-2410-08209
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Shengcao Cao, Liang-Yan Gui, Yu-Xiong Wang:
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision. CoRR abs/2410.08209 (2024)
[i65]
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  - journals/corr/abs-2410-09049
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Xiuyu Yang, Yunze Man, Jun-Kun Chen, Yu-Xiong Wang:
SceneCraft: Layout-Guided 3D Scene Generation. CoRR abs/2410.09049 (2024)
[i64]
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  - journals/corr/abs-2410-14633
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Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang:
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning. CoRR abs/2410.14633 (2024)
[i63]
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Anurag Bagchi, Zhipeng Bao, Yu-Xiong Wang, Pavel Tokmakov, Martial Hebert:
ReferEverything: Towards Segmenting Everything We Can Speak of in Videos. CoRR abs/2410.23287 (2024)
[i62]
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Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers. CoRR abs/2410.24108 (2024)
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Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, Yu-Xiong Wang:
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models. CoRR abs/2411.05005 (2024)
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Jun-Kun Chen, Yu-Xiong Wang:
ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing. CoRR abs/2411.05006 (2024)
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  - journals/corr/abs-2412-01827
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Ziqi Pang, Tianyuan Zhang, Fujun Luan, Yunze Man, Hao Tan, Kai Zhang, William T. Freeman, Yu-Xiong Wang:
RandAR: Decoder-only Autoregressive Visual Generation in Random Orders. CoRR abs/2412.01827 (2024)
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Vinayak Gupta, Yunze Man, Yu-Xiong Wang:
PaintScene4D: Consistent 4D Scene Generation from Text Prompts. CoRR abs/2412.04471 (2024)
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Michal Shlapentokh-Rothman, Yu-Xiong Wang, Derek Hoiem:
Can We Generate Visual Programs Without Prompting LLMs? CoRR abs/2412.08564 (2024)
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Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou, Yu-Xiong Wang, Sergey Levine, Li Erran Li:
Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents. CoRR abs/2412.13194 (2024)
2023
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Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang:
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds. CVPR 2023: 12439-12448
[c68]
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Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang:
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CVPR 2023: 17928-17938
[c67]
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Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
BEV-Guided Multi-Modality Fusion for Driving Perception. CVPR 2023: 21960-21969
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Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Object Discovery from Motion-Guided Tokens. CVPR 2023: 22972-22981
[c65]
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Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CVPR 2023: 23839-23848
[c64]
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  - conf/iccv/XiePW23
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Ziyang Xie, Ziqi Pang, Yu-Xiong Wang:
MV-Map: Offboard HD Map Generation with Multi-view Consistency. ICCV 2023: 8624-8634
[c63]
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Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui:
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. ICCV 2023: 14882-14894
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Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang:
Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study. ICCV 2023: 16281-16290
[c61]
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Jiangwei Yu, Xiang Li, Xinran Zhao, Hongming Zhang, Yu-Xiong Wang:
Video State-Changing Object Segmentation. ICCV 2023: 20382-20391
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Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Multi-task View Synthesis with Neural Radiance Fields. ICCV 2023: 21481-21492
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Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. ICCV 2023: 21718-21728
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Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan:
An Empirical Analysis of Range for 3D Object Detection. ICCV (Workshops) 2023: 4076-4085
[c57]
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Sirui Xu, Yu-Xiong Wang, Liangyan Gui:
Stochastic Multi-Person 3D Motion Forecasting. ICLR 2023
[c56]
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Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. ICML 2023: 3577-3598
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  - conf/iros/SunPW23
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Xinglong Sun, Jean Ponce, Yu-Xiong Wang:
Revisiting Deformable Convolution for Depth Completion. IROS 2023: 1300-1306
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  - conf/iros/PangRLW23
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Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang:
Streaming Motion Forecasting for Autonomous Driving. IROS 2023: 7407-7414
[c53]
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Yunze Man, Liangyan Gui, Yu-Xiong Wang:
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception. IROS 2023: 10910-10917
[c52]
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Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang:
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. NeurIPS 2023
[c51]
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Jiahua Dong, Yu-Xiong Wang:
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. NeurIPS 2023
[c50]
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Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories. NeurIPS 2023
[c49]
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Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang:
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. NeurIPS 2023
[c48]
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Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr V. Kindratenko, George Heintz, Christopher M. Zallek, Yu-Xiong Wang:
YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis. NeurIPS 2023
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Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. WACV 2023: 795-805
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Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang:
Do Pre-trained Models Benefit Equally in Continual Learning? WACV 2023: 6474-6482
[i55]
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  - journals/corr/abs-2302-03802
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Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang:
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CoRR abs/2302.03802 (2023)
[i54]
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  - journals/corr/abs-2302-04860
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Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui:
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors. CoRR abs/2302.04860 (2023)
[i53]
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  - journals/corr/abs-2303-15555
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Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Object Discovery from Motion-Guided Tokens. CoRR abs/2303.15555 (2023)
[i52]
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  - journals/corr/abs-2305-03034
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Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CoRR abs/2305.03034 (2023)
[i51]
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  - journals/corr/abs-2305-03049
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Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang:
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds. CoRR abs/2305.03049 (2023)
[i50]
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  - journals/corr/abs-2305-03724
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Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception. CoRR abs/2305.03724 (2023)
[i49]
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  - journals/corr/abs-2305-08851
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Ziyang Xie, Ziqi Pang, Yu-Xiong Wang:
MV-Map: Offboard HD-Map Generation with Multi-view Consistency. CoRR abs/2305.08851 (2023)
[i48]
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  - journals/corr/abs-2305-13650
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Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha:
Property-Guided Generative Modelling for Robust Model-Based Design with Imbalanced Data. CoRR abs/2305.13650 (2023)
[i47]
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  - journals/corr/abs-2306-05421
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Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui:
Stochastic Multi-Person 3D Motion Forecasting. CoRR abs/2306.05421 (2023)
[i46]
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  - journals/corr/abs-2306-13841
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Brando Miranda, Patrick Yu, Saumya Goyal, Yu-Xiong Wang, Sanmi Koyejo:
Is Pre-training Truly Better Than Meta-Learning? CoRR abs/2306.13841 (2023)
[i45]
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  - journals/corr/abs-2307-15710
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Garvita Allabadi, Ana Lucic, Peter Pao-Huang, Yu-Xiong Wang, Vikram S. Adve:
Semi-Supervised Object Detection in the Open World. CoRR abs/2307.15710 (2023)
[i44]
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  - journals/corr/abs-2308-01905
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Xinglong Sun, Jean Ponce, Yu-Xiong Wang:
Revisiting Deformable Convolution for Depth Completion. CoRR abs/2308.01905 (2023)
[i43]
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  - journals/corr/abs-2308-04054
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Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan:
An Empirical Analysis of Range for 3D Object Detection. CoRR abs/2308.04054 (2023)
[i42]
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  - journals/corr/abs-2308-09105
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Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. CoRR abs/2308.09105 (2023)
[i41]
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  - journals/corr/abs-2308-16905
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Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui:
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. CoRR abs/2308.16905 (2023)
[i40]
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  - journals/corr/abs-2309-14525
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Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR abs/2309.14525 (2023)
[i39]
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  - journals/corr/abs-2309-16646
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Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. CoRR abs/2309.16646 (2023)
[i38]
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  - journals/corr/abs-2309-17450
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Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Multi-task View Synthesis with Neural Radiance Fields. CoRR abs/2309.17450 (2023)
[i37]
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  - journals/corr/abs-2310-01351
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Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang:
Streaming Motion Forecasting for Autonomous Driving. CoRR abs/2310.01351 (2023)
[i36]
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  - journals/corr/abs-2310-04406
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Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang:
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models. CoRR abs/2310.04406 (2023)
[i35]
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  - journals/corr/abs-2310-12973
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Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang:
Frozen Transformers in Language Models Are Effective Visual Encoder Layers. CoRR abs/2310.12973 (2023)
[i34]
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  - journals/corr/abs-2311-01329
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Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories. CoRR abs/2311.01329 (2023)
[i33]
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  - journals/corr/abs-2311-01331
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Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. CoRR abs/2311.01331 (2023)
[i32]
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Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang:
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. CoRR abs/2311.01441 (2023)
[i31]
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  - journals/corr/abs-2312-06712
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Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert:
Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models. CoRR abs/2312.06712 (2023)
2022
[c45]
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  - conf/cvpr/AlshammariWRK22
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Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Long- Tailed Recognition via Weight Balancing. CVPR 2022: 6887-6897
[c44]
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  - conf/cvpr/FanPZWZWWZ22
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Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang:
Embracing Single Stride 3D Object Detector with Sparse Transformer. CVPR 2022: 8448-8458
[c43]
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Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Discovering Objects that Can Move. CVPR 2022: 11779-11788
[c42]
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  - conf/cvpr/WuLBWF22
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Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. CVPR 2022: 16179-16188
[c41]
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Jun-Kun Chen, Yu-Xiong Wang:
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees. ECCV (3) 2022: 105-120
[c40]
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  - conf/eccv/XuWG22
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Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui:
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors. ECCV (22) 2022: 251-269
[c39]
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Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized Few-Shot Node Classification. ICDM 2022: 608-617
[c38]
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Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang:
On the Importance of Firth Bias Reduction in Few-Shot Classification. ICLR 2022
[c37]
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Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Generative Modeling for Multi-task Visual Learning. ICML 2022: 1537-1554
[c36]
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Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Continual Learning with Evolving Class Ontologies. NeurIPS 2022
[c35]
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Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations. NeurIPS 2022
[i30]
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  - journals/corr/abs-2203-10159
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Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Discovering Objects that Can Move. CoRR abs/2203.10159 (2022)
[i29]
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  - journals/corr/abs-2203-14197
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Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Long-Tailed Recognition via Weight Balancing. CoRR abs/2203.14197 (2022)
[i28]
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  - journals/corr/abs-2206-04669
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Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. CoRR abs/2206.04669 (2022)
[i27]
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  - journals/corr/abs-2206-05259
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Yuanyi Zhong, Haoran Tang, Junkun Chen, Jian Peng, Yu-Xiong Wang:
Is Self-Supervised Learning More Robust Than Supervised Learning? CoRR abs/2206.05259 (2022)
[i26]
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  - journals/corr/abs-2208-01545
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Brando Miranda, Patrick Yu, Yu-Xiong Wang, Sanmi Koyejo:
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence. CoRR abs/2208.01545 (2022)
[i25]
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  - journals/corr/abs-2208-05962
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Junkun Chen, Yu-Xiong Wang:
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees. CoRR abs/2208.05962 (2022)
[i24]
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  - journals/corr/abs-2210-04993
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Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Learning with an Evolving Class Ontology. CoRR abs/2210.04993 (2022)
[i23]
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  - journals/corr/abs-2210-09496
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Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations. CoRR abs/2210.09496 (2022)
[i22]
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  - journals/corr/abs-2210-15701
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Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang:
Do Pre-trained Models Benefit Equally in Continual Learning? CoRR abs/2210.15701 (2022)
2021
[c34]
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  - conf/cvpr/PangHTWH21
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Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Unlocking the Full Potential of Small Data With Diverse Supervision. CVPR Workshops 2021: 2642-2652
[c33]
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  - conf/cvpr/ZhongWWPW021
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Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang:
DAP: Detection-Aware Pre-Training With Weak Supervision. CVPR 2021: 4537-4546
[c32]
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  - conf/cvpr/ZhangW21a
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Weilin Zhang, Yu-Xiong Wang:
Hallucination Improves Few-Shot Object Detection. CVPR 2021: 13008-13017
[c31]
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  - conf/iccv/ZhongYWY0W21
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Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang:
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. ICCV 2021: 7253-7262
[c30]
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  - conf/iccv/GuiBSHHW21
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Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang:
Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. ICCV 2021: 8681-8691
[c29]
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  - conf/iccv/DasWM21
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Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura:
On the Importance of Distractors for Few-Shot Classification. ICCV 2021: 9010-9020
[c28]
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Zhipeng Bao, Yu-Xiong Wang, Martial Hebert:
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. ICLR 2021
[c27]
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  - conf/icml/ChangYWAFA21
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Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, José M. Álvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. ICML 2021: 1463-1472
[i21]
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  - journals/corr/abs-2103-16651
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Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang:
DAP: Detection-Aware Pre-training with Weak Supervision. CoRR abs/2103.16651 (2021)
[i20]
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  - journals/corr/abs-2104-05702
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Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, José M. Álvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. CoRR abs/2104.05702 (2021)
[i19]
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  - journals/corr/abs-2105-01294
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Weilin Zhang, Yu-Xiong Wang:
Hallucination Improves Few-Shot Object Detection. CoRR abs/2105.01294 (2021)
[i18]
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  - journals/corr/abs-2106-13409
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Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Generative Modeling for Multi-task Visual Learning. CoRR abs/2106.13409 (2021)
[i17]
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  - journals/corr/abs-2108-09025
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Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang:
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. CoRR abs/2108.09025 (2021)
[i16]
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  - journals/corr/abs-2109-09883
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Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura:
On the Importance of Distractors for Few-Shot Classification. CoRR abs/2109.09883 (2021)
[i15]
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  - journals/corr/abs-2110-02529
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Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang:
On the Importance of Firth Bias Reduction in Few-Shot Classification. CoRR abs/2110.02529 (2021)
[i14]
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  - journals/corr/abs-2111-10427
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Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. CoRR abs/2111.10427 (2021)
[i13]
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  - journals/corr/abs-2112-04497
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David A. Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang:
SIRfyN: Single Image Relighting from your Neighbors. CoRR abs/2112.04497 (2021)
[i12]
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  - journals/corr/abs-2112-06375
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Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang:
Embracing Single Stride 3D Object Detector with Sparse Transformer. CoRR abs/2112.06375 (2021)
[i11]
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  - journals/corr/abs-2112-13137
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Brando Miranda, Yu-Xiong Wang, Sanmi Koyejo:
Does MAML Only Work via Feature Re-use? A Data Centric Perspective. CoRR abs/2112.13137 (2021)
2020
[c26]
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  - conf/eccv/LiWR20
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Mengtian Li, Yu-Xiong Wang, Deva Ramanan:
Towards Streaming Perception. ECCV (2) 2020: 473-488
[i10]
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  - journals/corr/abs-2005-10420
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Mengtian Li, Yu-Xiong Wang, Deva Ramanan:
Towards Streaming Image Understanding. CoRR abs/2005.10420 (2020)
[i9]
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  - journals/corr/abs-2008-06981
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Zhipeng Bao, Yu-Xiong Wang, Martial Hebert:
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. CoRR abs/2008.06981 (2020)
[i8]
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  - journals/corr/abs-2008-07073
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Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang:
Alpha Net: Adaptation with Composition in Classifier Space. CoRR abs/2008.07073 (2020)
[i7]
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  - journals/corr/abs-2008-09892
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Vivek Roy, Yan Xu, Yu-Xiong Wang, Kris Kitani, Ruslan Salakhutdinov, Martial Hebert:
Few-Shot Learning with Intra-Class Knowledge Transfer. CoRR abs/2008.09892 (2020)
[i6]
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  - journals/corr/abs-2011-10142
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Weilin Zhang, Yu-Xiong Wang, David A. Forsyth:
Cooperating RPN's Improve Few-Shot Object Detection. CoRR abs/2011.10142 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[c25]
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Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert:
Image Deformation Meta-Networks for One-Shot Learning. CVPR 2019: 8680-8689
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Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Compositional Representations for Few-Shot Recognition. ICCV 2019: 6371-6380
[c23]
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Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Meta-Learning to Detect Rare Objects. ICCV 2019: 9924-9933
[c22]
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Yuqian Fu, Chengrong Wang, Yanwei Fu, Yu-Xiong Wang, Cong Bai, Xiangyang Xue, Yu-Gang Jiang:
Embodied One-Shot Video Recognition: Learning from Actions of a Virtual Embodied Agent. ACM Multimedia 2019: 411-419
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Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert:
Image Deformation Meta-Networks for One-Shot Learning. CoRR abs/1905.11641 (2019)
[i4]
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Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Growing a Brain: Fine-Tuning by Increasing Model Capacity. CoRR abs/1907.07844 (2019)
[i3]
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  - journals/corr/abs-1911-12911
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Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Generalizable Representations via Diverse Supervision. CoRR abs/1911.12911 (2019)
2018
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Yu-Xiong Wang:
Learning to Learn for Small Sample Visual Recognition. Carnegie Mellon University, USA, 2018
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Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan:
Low-Shot Learning From Imaginary Data. CVPR 2018: 7278-7286
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Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, José M. F. Moura:
Few-Shot Human Motion Prediction via Meta-learning. ECCV (8) 2018: 441-459
[c19]
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Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura:
Adversarial Geometry-Aware Human Motion Prediction. ECCV (4) 2018: 823-842
[c18]
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Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura, Manuela Veloso:
Teaching Robots to Predict Human Motion. IROS 2018: 562-567
[c17]
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  - conf/wacv/GuiGWMM18
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Liang-Yan Gui, Liangke Gui, Yu-Xiong Wang, Louis-Philippe Morency, José M. F. Moura:
Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering. WACV 2018: 1205-1214
[i2]
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  - journals/corr/abs-1801-05401
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Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan:
Low-Shot Learning from Imaginary Data. CoRR abs/1801.05401 (2018)
[i1]
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  - journals/corr/abs-1812-09213
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Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Compositional Representations for Few-Shot Recognition. CoRR abs/1812.09213 (2018)
2017
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  - journals/mta/LiuGWWSLW17
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Bao-Di Liu, Liangke Gui, Yuting Wang, Yu-Xiong Wang, Bin Shen, Xue Li, Yanjiang Wang:
Class specific centralized dictionary learning for face recognition. Multim. Tools Appl. 76(3): 4159-4177 (2017)
[c16]
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Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Growing a Brain: Fine-Tuning by Increasing Model Capacity. CVPR 2017: 3029-3038
[c15]
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Liangke Gui, Yu-Xiong Wang, Martial Hebert:
Few-Shot Hash Learning for Image Retrieval. ICCV Workshops 2017: 1228-1237
[c14]
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Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Learning to Model the Tail. NIPS 2017: 7029-7039
2016
[j4]
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Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Xue Li, Yu-Jin Zhang, Yanjiang Wang:
Blockwise coordinate descent schemes for efficient and effective dictionary learning. Neurocomputing 178: 25-35 (2016)
[j3]
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Bao-Di Liu, Bin Shen, Liangke Gui, Yu-Xiong Wang, Xue Li, Fei Yan, Yanjiang Wang:
Face recognition using class specific dictionary learning for sparse representation and collaborative representation. Neurocomputing 204: 198-210 (2016)
[c13]
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Yu-Xiong Wang, Martial Hebert:
Learning by Transferring from Unsupervised Universal Sources. AAAI 2016: 2187-2193
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Yu-Xiong Wang, Martial Hebert:
Learning to Learn: Model Regression Networks for Easy Small Sample Learning. ECCV (6) 2016: 616-634
[c11]
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Bao-Di Liu, Yuting Wang, Liangke Gui, Yu-Xiong Wang, Bin Shen, Xue Li, Yan-Jiang Wang:
Class specific discriminant dictionary learning with kernels for face recognition. IMAWM 2016: 1-6
[c10]
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Yu-Xiong Wang, Martial Hebert:
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs. NIPS 2016: 244-252
2015
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Yu-Xiong Wang, Martial Hebert:
Model recommendation: Generating object detectors from few samples. CVPR 2015: 1619-1628
2014
[c8]
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  - conf/eccv/LiuWSZH14
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Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Martial Hebert:
Self-explanatory Sparse Representation for Image Classification. ECCV (2) 2014: 600-616
[c7]
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Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang:
Blockwise coordinate descent schemes for sparse representation. ICASSP 2014: 5267-5271
[c6]
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  - conf/smc/LiuSWLW14
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Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang:
Class specific subspace learning for collaborative representation. SMC 2014: 2865-2870
[c5]
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  - conf/spac/LiuSW14
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Bao-Di Liu, Bin Shen, Yu-Xiong Wang:
Class specific dictionary learning for face recognition. SPAC 2014: 229-234
2013
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Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Bin Shen:
Learning dictionary on manifolds for image classification. Pattern Recognit. 46(7): 1879-1890 (2013)
[j1]
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  - journals/tkde/WangZ13
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Yu-Xiong Wang, Yu-Jin Zhang:
Nonnegative Matrix Factorization: A Comprehensive Review. IEEE Trans. Knowl. Data Eng. 25(6): 1336-1353 (2013)
[c4]
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Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu:
Self-Explanatory Convex Sparse Representation for Image Classification. SMC 2013: 2120-2125
2012
[c3]
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  - conf/icassp/LiuWZZ12
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Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Yin Zheng:
Discriminant sparse coding for image classification. ICASSP 2012: 2193-2196
[c2]
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  - conf/icassp/WangGZ12
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Yu-Xiong Wang, Liang-Yan Gui, Yu-Jin Zhang:
Neighborhood Preserving Non-negative Tensor Factorization for image representation. ICASSP 2012: 3389-3392
2011
[c1]
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  - conf/icip/WangZ11
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Yu-Xiong Wang, Yu-Jin Zhang:
Image inpainting via Weighted Sparse Non-negative Matrix Factorization. ICIP 2011: 3409-3412

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