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2020 – today
- 2024
[j6]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)- [c84]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 - [c83]Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
Situational Awareness Matters in 3D Vision Language Reasoning. CVPR 2024: 13678-13688 - [c82]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 - [c81]Junbao Zhou, Ziqi Pang, Yu-Xiong Wang:
RMem: Restricted Memory Banks Improve Video Object Segmentation. CVPR 2024: 18602-18611 - [c80]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 - [c79]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 - [c78]Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang:
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. CVPR 2024: 21413-21423 - [c77]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 - [c76]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 - [c75]Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang:
Frozen Transformers in Language Models Are Effective Visual Encoder Layers. ICLR 2024 - [c74]Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. ICML 2024 - [c73]Qianlan Yang, Yu-Xiong Wang:
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories. ICML 2024 - [c72]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 - [c71]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 - [c70]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 - [i68]Jiahua Dong, Yu-Xiong Wang:
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. CoRR abs/2402.00864 (2024) - [i67]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) - [i66]Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. CoRR abs/2402.03311 (2024) - [i65]Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang:
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. CoRR abs/2402.18490 (2024) - [i64]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) - [i63]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) - [i62]Qianlan Yang, Yu-Xiong Wang:
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories. CoRR abs/2406.04323 (2024) - [i61]Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
Situational Awareness Matters in 3D Vision Language Reasoning. CoRR abs/2406.07544 (2024) - [i60]Junbao Zhou, Ziqi Pang, Yu-Xiong Wang:
RMem: Restricted Memory Banks Improve Video Object Segmentation. CoRR abs/2406.08476 (2024) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - 2023
- [c69]Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang:
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds. CVPR 2023: 12439-12448 - [c68]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]Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
BEV-Guided Multi-Modality Fusion for Driving Perception. CVPR 2023: 21960-21969 - [c66]Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Object Discovery from Motion-Guided Tokens. CVPR 2023: 22972-22981 - [c65]Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CVPR 2023: 23839-23848 - [c64]Ziyang Xie, Ziqi Pang, Yu-Xiong Wang:
MV-Map: Offboard HD Map Generation with Multi-view Consistency. ICCV 2023: 8624-8634 - [c63]Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui:
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. ICCV 2023: 14882-14894 - [c62]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]Jiangwei Yu, Xiang Li, Xinran Zhao, Hongming Zhang, Yu-Xiong Wang:
Video State-Changing Object Segmentation. ICCV 2023: 20382-20391 - [c60]Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Multi-task View Synthesis with Neural Radiance Fields. ICCV 2023: 21481-21492 - [c59]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 - [c58]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]Sirui Xu, Yu-Xiong Wang, Liangyan Gui:
Stochastic Multi-Person 3D Motion Forecasting. ICLR 2023 - [c56]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 - [c55]Xinglong Sun, Jean Ponce, Yu-Xiong Wang:
Revisiting Deformable Convolution for Depth Completion. IROS 2023: 1300-1306 - [c54]Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang:
Streaming Motion Forecasting for Autonomous Driving. IROS 2023: 7407-7414 - [c53]Yunze Man, Liangyan Gui, Yu-Xiong Wang:
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception. IROS 2023: 10910-10917 - [c52]Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang:
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. NeurIPS 2023 - [c51]Jiahua Dong, Yu-Xiong Wang:
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. NeurIPS 2023 - [c50]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]Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang:
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. NeurIPS 2023 - [c48]Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr V. Kindratenko, George Heintz, Christopher Zallek, Yu-Xiong Wang:
YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis. NeurIPS 2023 - [c47]Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. WACV 2023: 795-805 - [c46]Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang:
Do Pre-trained Models Benefit Equally in Continual Learning? WACV 2023: 6474-6482 - [i55]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]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]Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Object Discovery from Motion-Guided Tokens. CoRR abs/2303.15555 (2023) - [i52]Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CoRR abs/2305.03034 (2023) - [i51]Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang:
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds. CoRR abs/2305.03049 (2023) - [i50]Yunze Man, Liang-Yan Gui, Yu-Xiong Wang:
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception. CoRR abs/2305.03724 (2023) - [i49]Ziyang Xie, Ziqi Pang, Yu-Xiong Wang:
MV-Map: Offboard HD-Map Generation with Multi-view Consistency. CoRR abs/2305.08851 (2023) - [i48]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]Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui:
Stochastic Multi-Person 3D Motion Forecasting. CoRR abs/2306.05421 (2023) - [i46]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]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]Xinglong Sun, Jean Ponce, Yu-Xiong Wang:
Revisiting Deformable Convolution for Depth Completion. CoRR abs/2308.01905 (2023) - [i43]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]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]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]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]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]Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Multi-task View Synthesis with Neural Radiance Fields. CoRR abs/2309.17450 (2023) - [i37]Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang:
Streaming Motion Forecasting for Autonomous Driving. CoRR abs/2310.01351 (2023) - [i36]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]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]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]Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. CoRR abs/2311.01331 (2023) - [i32]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]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]Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Long- Tailed Recognition via Weight Balancing. CVPR 2022: 6887-6897 - [c44]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]Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Discovering Objects that Can Move. CVPR 2022: 11779-11788 - [c42]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]Jun-Kun Chen, Yu-Xiong Wang:
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees. ECCV (3) 2022: 105-120 - [c40]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]Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized Few-Shot Node Classification. ICDM 2022: 608-617 - [c38]Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang:
On the Importance of Firth Bias Reduction in Few-Shot Classification. ICLR 2022 - [c37]Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Generative Modeling for Multi-task Visual Learning. ICML 2022: 1537-1554 - [c36]Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Continual Learning with Evolving Class Ontologies. NeurIPS 2022 - [c35]Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations. NeurIPS 2022 - [i30]Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Discovering Objects that Can Move. CoRR abs/2203.10159 (2022) - [i29]Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Long-Tailed Recognition via Weight Balancing. CoRR abs/2203.14197 (2022) - [i28]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]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]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]Junkun Chen, Yu-Xiong Wang:
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees. CoRR abs/2208.05962 (2022) - [i24]Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Learning with an Evolving Class Ontology. CoRR abs/2210.04993 (2022) - [i23]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]Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang:
Do Pre-trained Models Benefit Equally in Continual Learning? CoRR abs/2210.15701 (2022) - 2021
- [c34]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]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]Weilin Zhang, Yu-Xiong Wang:
Hallucination Improves Few-Shot Object Detection. CVPR 2021: 13008-13017 - [c31]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]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]Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura:
On the Importance of Distractors for Few-Shot Classification. ICCV 2021: 9010-9020 - [c28]Zhipeng Bao, Yu-Xiong Wang, Martial Hebert:
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. ICLR 2021 - [c27]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]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]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]Weilin Zhang, Yu-Xiong Wang:
Hallucination Improves Few-Shot Object Detection. CoRR abs/2105.01294 (2021) - [i18]Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Generative Modeling for Multi-task Visual Learning. CoRR abs/2106.13409 (2021) - [i17]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]Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura:
On the Importance of Distractors for Few-Shot Classification. CoRR abs/2109.09883 (2021) - [i15]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]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]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]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]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]Mengtian Li, Yu-Xiong Wang, Deva Ramanan:
Towards Streaming Perception. ECCV (2) 2020: 473-488 - [i10]Mengtian Li, Yu-Xiong Wang, Deva Ramanan:
Towards Streaming Image Understanding. CoRR abs/2005.10420 (2020) - [i9]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]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]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]