Image inpainting via Weighted Sparse Non-negative Matrix Factorization. - Yu-Xiong Wang; Yu-Jin Zhang (ICIP, 2011)

Discriminant sparse coding for image classification. - Bao-Di Liu; Yu-Xiong Wang; Yu-Jin Zhang; Yin Zheng (ICASSP, 2012)

Neighborhood Preserving Non-negative Tensor Factorization for image representation. - Yu-Xiong Wang; Liang-Yan Gui; Yu-Jin Zhang (ICASSP, 2012)

Self-Explanatory Convex Sparse Representation for Image Classification. - Bao-Di Liu; Yu-Xiong Wang; Bin Shen 002; Yu-Jin Zhang; Yanjiang Wang 001; Weifeng Liu 001 (SMC, 2013)

Learning dictionary on manifolds for image classification. - Bao-Di Liu; Yu-Xiong Wang; Yu-Jin Zhang; Bin Shen 002 (Pattern Recognit., 2013)

Nonnegative Matrix Factorization: A Comprehensive Review. - Yu-Xiong Wang; Yu-Jin Zhang (IEEE Trans. Knowl. Data Eng., 2013)

Self-explanatory Sparse Representation for Image Classification. - Bao-Di Liu; Yu-Xiong Wang; Bin Shen 002; Yu-Jin Zhang; Martial Hebert (ECCV (2), 2014)

Blockwise coordinate descent schemes for sparse representation. - Bao-Di Liu; Yu-Xiong Wang; Bin Shen 002; Yu-Jin Zhang; Yanjiang Wang 001 (ICASSP, 2014)

Class specific subspace learning for collaborative representation. - Bao-Di Liu; Bin Shen 002; Yu-Xiong Wang; Weifeng Liu 001; Yanjiang Wang 001 (SMC, 2014)

Class specific dictionary learning for face recognition. - Bao-Di Liu; Bin Shen 002; Yu-Xiong Wang (SPAC, 2014)

Model recommendation: Generating object detectors from few samples. - Yu-Xiong Wang; Martial Hebert (CVPR, 2015)

Learning by Transferring from Unsupervised Universal Sources. - Yu-Xiong Wang; Martial Hebert (AAAI, 2016)

Learning to Learn: Model Regression Networks for Easy Small Sample Learning. - Yu-Xiong Wang; Martial Hebert (ECCV (6), 2016)

Class specific discriminant dictionary learning with kernels for face recognition. - Bao-Di Liu; Yuting Wang; Liangke Gui; Yu-Xiong Wang; Bin Shen 002; Xue Li 005; Yan-Jiang Wang 001 (IMAWM, 2016)

Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs. - Yu-Xiong Wang; Martial Hebert (NIPS, 2016)

Face recognition using class specific dictionary learning for sparse representation and collaborative representation. - Bao-Di Liu; Bin Shen 002; Liangke Gui; Yu-Xiong Wang; Xue Li 005; Fei Yan; Yanjiang Wang 001 (Neurocomputing, 2016)

Blockwise coordinate descent schemes for efficient and effective dictionary learning. - Bao-Di Liu; Yu-Xiong Wang; Bin Shen 002; Xue Li 005; Yu-Jin Zhang; Yanjiang Wang 001 (Neurocomputing, 2016)

Growing a Brain: Fine-Tuning by Increasing Model Capacity. - Yu-Xiong Wang; Deva Ramanan; Martial Hebert (CVPR, 2017)

Few-Shot Hash Learning for Image Retrieval. - Liangke Gui; Yu-Xiong Wang; Martial Hebert (ICCV Workshops, 2017)

Learning to Model the Tail. - Yu-Xiong Wang; Deva Ramanan; Martial Hebert (NIPS, 2017)

Class specific centralized dictionary learning for face recognition. - Bao-Di Liu; Liangke Gui; Yuting Wang; Yu-Xiong Wang; Bin Shen 002; Xue Li 005; Yanjiang Wang 001 (Multim. Tools Appl., 2017)

Low-Shot Learning From Imaginary Data. - Yu-Xiong Wang; Ross B. Girshick; Martial Hebert; Bharath Hariharan (CVPR, 2018)

Adversarial Geometry-Aware Human Motion Prediction. - Liang-Yan Gui; Yu-Xiong Wang; Xiaodan Liang; José M. F. Moura (ECCV (4), 2018)

Few-Shot Human Motion Prediction via Meta-learning. - Liang-Yan Gui; Yu-Xiong Wang; Deva Ramanan; José M. F. Moura (ECCV (8), 2018)

Teaching Robots to Predict Human Motion. - Liang-Yan Gui; Kevin Zhang 002; Yu-Xiong Wang; Xiaodan Liang; José M. F. Moura; Manuela Veloso (IROS, 2018)

Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering. - Liang-Yan Gui; Liangke Gui; Yu-Xiong Wang; Louis-Philippe Morency; José M. F. Moura (WACV, 2018)

Learning to Learn for Small Sample Visual Recognition. - Yu-Xiong Wang (2018)

Image Deformation Meta-Networks for One-Shot Learning. - Zitian Chen; Yanwei Fu 001; Yu-Xiong Wang; Lin Ma 002; Wei Liu 005; Martial Hebert (CVPR, 2019)

Learning Compositional Representations for Few-Shot Recognition. - Pavel Tokmakov; Yu-Xiong Wang; Martial Hebert (ICCV, 2019)

Meta-Learning to Detect Rare Objects. - Yu-Xiong Wang; Deva Ramanan; Martial Hebert (ICCV, 2019)

Embodied One-Shot Video Recognition: Learning from Actions of a Virtual Embodied Agent. - Yuqian Fu; Chengrong Wang; Yanwei Fu 001; Yu-Xiong Wang; Cong Bai; Xiangyang Xue 001; Yu-Gang Jiang 001 (ACM Multimedia, 2019)

Learning Generalizable Representations via Diverse Supervision. - Ziqi Pang; Zhiyuan Hu; Pavel Tokmakov; Yu-Xiong Wang; Martial Hebert (CoRR, 2019)

Towards Streaming Perception. - Mengtian Li; Yu-Xiong Wang; Deva Ramanan (ECCV (2), 2020)

Towards Streaming Image Understanding. - Mengtian Li; Yu-Xiong Wang; Deva Ramanan (CoRR, 2020)

Alpha Net: Adaptation with Composition in Classifier Space. - Nadine Chang; Jayanth Koushik; Michael J. Tarr; Martial Hebert; Yu-Xiong Wang (CoRR, 2020)

Few-Shot Learning with Intra-Class Knowledge Transfer. - Vivek Roy; Yan Xu; Yu-Xiong Wang; Kris Kitani; Ruslan Salakhutdinov; Martial Hebert (CoRR, 2020)

Cooperating RPN's Improve Few-Shot Object Detection. - Weilin Zhang; Yu-Xiong Wang; David A. Forsyth (CoRR, 2020)

Unlocking the Full Potential of Small Data With Diverse Supervision. - Ziqi Pang; Zhiyuan Hu; Pavel Tokmakov; Yu-Xiong Wang; Martial Hebert (CVPR Workshops, 2021)

Hallucination Improves Few-Shot Object Detection. - Weilin Zhang; Yu-Xiong Wang (CVPR, 2021)

DAP: Detection-Aware Pre-Training With Weak Supervision. - Yuanyi Zhong; Jianfeng Wang; Lijuan Wang; Jian Peng 001; Yu-Xiong Wang; Lei Zhang 001 (CVPR, 2021)

On the Importance of Distractors for Few-Shot Classification. - Rajshekhar Das; Yu-Xiong Wang; José M. F. Moura (ICCV, 2021)

Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. - Liangke Gui; Adrien Bardes; Ruslan Salakhutdinov; Alexander Hauptmann 001; Martial Hebert; Yu-Xiong Wang (ICCV, 2021)

Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. - Yuanyi Zhong; Bodi Yuan; Hong Wu; Zhiqiang Yuan; Jian Peng 001; Yu-Xiong Wang (ICCV, 2021)

Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. - Zhipeng Bao; Yu-Xiong Wang; Martial Hebert (ICLR, 2021)

Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. - Nadine Chang; Zhiding Yu; Yu-Xiong Wang; Animashree Anandkumar; Sanja Fidler; José M. Álvarez 004 (ICML, 2021)

SIRfyN: Single Image Relighting from your Neighbors. - David A. Forsyth; Anand Bhattad; Pranav Asthana; Yuanyi Zhong; Yu-Xiong Wang (CoRR, 2021)

Does MAML Only Work via Feature Re-use? A Data Centric Perspective. - Brando Miranda; Yu-Xiong Wang; Sanmi Koyejo (CoRR, 2021)

Long- Tailed Recognition via Weight Balancing. - Shaden Alshammari; Yu-Xiong Wang; Deva Ramanan; Shu Kong (CVPR, 2022)

Discovering Objects that Can Move. - Zhipeng Bao; Pavel Tokmakov; Allan Jabri; Yu-Xiong Wang; Adrien Gaidon; Martial Hebert (CVPR, 2022)

Embracing Single Stride 3D Object Detector with Sparse Transformer. - Lue Fan; Ziqi Pang; Tianyuan Zhang 002; Yu-Xiong Wang; Hang Zhao; Feng Wang 015; Naiyan Wang; Zhaoxiang Zhang 001 (CVPR, 2022)

DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. - Liwen Wu; Jae Yong Lee 006; Anand Bhattad; Yu-Xiong Wang; David A. Forsyth (CVPR, 2022)

PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees. - Jun-Kun Chen; Yu-Xiong Wang (ECCV (3), 2022)

Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors. - Sirui Xu 002; Yu-Xiong Wang; Liang-Yan Gui (ECCV (22), 2022)

Generalized Few-Shot Node Classification. - Zhe Xu 007; Kaize Ding; Yu-Xiong Wang; Huan Liu 001; Hanghang Tong (ICDM, 2022)

On the Importance of Firth Bias Reduction in Few-Shot Classification. - Saba Ghaffari; Ehsan Saleh; David A. Forsyth; Yu-Xiong Wang (ICLR, 2022)

Generative Modeling for Multi-task Visual Learning. - Zhipeng Bao; Martial Hebert; Yu-Xiong Wang (ICML, 2022)

Continual Learning with Evolving Class Ontologies. - Zhiqiu Lin; Deepak Pathak; Yu-Xiong Wang; Deva Ramanan; Shu Kong (NeurIPS, 2022)

CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations. - Kai Yan; Alexander G. Schwing; Yu-Xiong Wang (NeurIPS, 2022)

Is Self-Supervised Learning More Robust Than Supervised Learning? - Yuanyi Zhong; Haoran Tang; Jun-Kun Chen; Jian Peng 001; Yu-Xiong Wang (CoRR, 2022)

The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence. - Brando Miranda; Patrick Yu; Yu-Xiong Wang; Sanmi Koyejo (CoRR, 2022)

Learning with an Evolving Class Ontology. - Zhiqiu Lin; Deepak Pathak; Yu-Xiong Wang; Deva Ramanan; Shu Kong (CoRR, 2022)

Object Discovery from Motion-Guided Tokens. - Zhipeng Bao; Pavel Tokmakov; Yu-Xiong Wang; Adrien Gaidon; Martial Hebert (CVPR, 2023)

Contrastive Mean Teacher for Domain Adaptive Object Detectors. - Shengcao Cao; Dhiraj Joshi; Liang-Yan Gui; Yu-Xiong Wang (CVPR, 2023)

NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds. - Jun-Kun Chen; Jipeng Lyu; Yu-Xiong Wang (CVPR, 2023)

BEV-Guided Multi-Modality Fusion for Driving Perception. - Yunze Man; Liang-Yan Gui; Yu-Xiong Wang (CVPR, 2023)

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. - Ziqi Pang; Jie Li 031; Pavel Tokmakov; Dian Chen 005; Sergey Zagoruyko; Yu-Xiong Wang (CVPR, 2023)

InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. - Sirui Xu 002; Zhengyuan Li; Yu-Xiong Wang; Liang-Yan Gui (ICCV, 2023)

MV-Map: Offboard HD Map Generation with Multi-view Consistency. - Ziyang Xie; Ziqi Pang; Yu-Xiong Wang (ICCV, 2023)

Video State-Changing Object Segmentation. - Jiangwei Yu; Xiang Li; Xinran Zhao; Hongming Zhang 009; Yu-Xiong Wang (ICCV, 2023)

Multi-task View Synthesis with Neural Radiance Fields. - Shuhong Zheng; Zhipeng Bao; Martial Hebert; Yu-Xiong Wang (ICCV, 2023)

Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. - Yuanyi Zhong; Anand Bhattad; Yu-Xiong Wang; David A. Forsyth (ICCV, 2023)

Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study. - Yuanyi Zhong; Haoran Tang; Jun-Kun Chen; Yu-Xiong Wang (ICCV, 2023)

An Empirical Analysis of Range for 3D Object Detection. - Neehar Peri; Mengtian Li; Benjamin Wilson; Yu-Xiong Wang; James Hays; Deva Ramanan (ICCV (Workshops), 2023)

Stochastic Multi-Person 3D Motion Forecasting. - Sirui Xu 002; Yu-Xiong Wang; Liangyan Gui (ICLR, 2023)

Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. - Shengcao Cao; Mengtian Li; James Hays; Deva Ramanan; Yu-Xiong Wang; Liangyan Gui (ICML, 2023)

DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception. - Yunze Man; Liangyan Gui; Yu-Xiong Wang (IROS, 2023)

Streaming Motion Forecasting for Autonomous Driving. - Ziqi Pang; Deva Ramanan; Mengtian Li; Yu-Xiong Wang (IROS, 2023)

Revisiting Deformable Convolution for Depth Completion. - Xinglong Sun; Jean Ponce; Yu-Xiong Wang (IROS, 2023)

HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. - Shengcao Cao; Dhiraj Joshi; Liangyan Gui; Yu-Xiong Wang (NeurIPS, 2023)

ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. - Jiahua Dong 002; Yu-Xiong Wang (NeurIPS, 2023)

A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories. - Kai Yan; Alexander G. Schwing; Yu-Xiong Wang (NeurIPS, 2023)

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. - Andy Zhou; Jindong Wang 001; Yu-Xiong Wang; Haohan Wang (NeurIPS, 2023)

YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis. - Andy Zhou; Samuel Li; Pranav Sriram; Xiang Li; Jiahua Dong 002; Ansh Sharma; Yuanyi Zhong; Shirui Luo; Volodymyr V. Kindratenko; George Heintz; Christopher M. Zallek; Yu-Xiong Wang (NeurIPS, 2023)

Do Pre-trained Models Benefit Equally in Continual Learning? - Kuan-Ying Lee; Yuanyi Zhong; Yu-Xiong Wang (WACV, 2023)

Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. - Mingtong Zhang; Shuhong Zheng; Zhipeng Bao; Martial Hebert; Yu-Xiong Wang (WACV, 2023)

Property-Guided Generative Modelling for Robust Model-Based Design with Imbalanced Data. - Saba Ghaffari; Ehsan Saleh; Alexander G. Schwing; Yu-Xiong Wang; Martin D. Burke; Saurabh Sinha (CoRR, 2023)

Is Pre-training Truly Better Than Meta-Learning? - Brando Miranda; Patrick Yu; Saumya Goyal; Yu-Xiong Wang; Sanmi Koyejo (CoRR, 2023)

Semi-Supervised Object Detection in the Open World. - Garvita Allabadi; Ana Lucic; Peter Pao-Huang; Yu-Xiong Wang; Vikram S. Adve (CoRR, 2023)

Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models. - Zhipeng Bao; Yijun Li 001; Krishna Kumar Singh; Yu-Xiong Wang; Martial Hebert (CoRR, 2023)

Aligning Large Multimodal Models with Factually Augmented RLHF. - Zhiqing Sun; Sheng Shen 001; Shengcao Cao; Haotian Liu; Chunyuan Li; Yikang Shen; Chuang Gan 001; Liangyan Gui; Yu-Xiong Wang; Yiming Yang; Kurt Keutzer; Trevor Darrell (ACL (Findings), 2024)

ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing. - Jun-Kun Chen; Samuel Rota Bulò; Norman Müller; Lorenzo Porzi; Peter Kontschieder; Yu-Xiong Wang (CVPR, 2024)

Situational Awareness Matters in 3D Vision Language Reasoning. - Yunze Man; Liang-Yan Gui; Yu-Xiong Wang (CVPR, 2024)

Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion. - Linzhan Mou; Jun-Kun Chen; Yu-Xiong Wang (CVPR, 2024)

Region-Based Representations Revisited. - Michal Shlapentokh-Rothman; Ansel Blume; Yao Xiao; Yuqun Wu; Sethuraman TV; Heyi Tao; Jae Yong Lee 006; Wilfredo Torres; Yu-Xiong Wang; Derek Hoiem (CVPR, 2024)

TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. - Zhihao Zhang; Shengcao Cao; Yu-Xiong Wang (CVPR, 2024)

RMem: Restricted Memory Banks Improve Video Object Segmentation. - Junbao Zhou; Ziqi Pang; Yu-Xiong Wang (CVPR, 2024)

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. - Matej Kristan; Jirí Matas; Pavel Tokmakov; Michael Felsberg; Luka Cehovin Zajc; Alan Lukezic; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; Hyung Jin Chang; Gustavo Fernández; Minasadat Attari; et al. (ECCV Workshops (7), 2024)

AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation. - Ri-Zhao Qiu; Yu-Xiong Wang; Kris Hauser (ECCV (41), 2024)

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. - Shengcao Cao; Jiuxiang Gu; Jason Kuen; Hao Tan 002; Ruiyi Zhang 002; Handong Zhao; Ani Nenkova; Liangyan Gui; Tong Sun 005; Yu-Xiong Wang (ICLR, 2024)

Robust Model-Based Optimization for Challenging Fitness Landscapes. - Saba Ghaffari; Ehsan Saleh; Alexander G. Schwing; Yu-Xiong Wang; Martin D. Burke; Saurabh Sinha (ICLR, 2024)

Frozen Transformers in Language Models Are Effective Visual Encoder Layers. - Ziqi Pang; Ziyang Xie; Yunze Man; Yu-Xiong Wang (ICLR, 2024)

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. - Kai Yan; Alexander G. Schwing; Yu-Xiong Wang (ICML, 2024)

ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories. - Qianlan Yang; Yu-Xiong Wang (ICML, 2024)

Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models. - Andy Zhou; Kai Yan; Michal Shlapentokh-Rothman; Haohan Wang; Yu-Xiong Wang (ICML, 2024)

An Empirical Comparison of Code Generation Approaches for Ansible. - Benjamin Darnell; Hetarth Chopra; Aaron Councilman; David Grove; Yu-Xiong Wang; Vikram S. Adve (InteNSE, 2024)

InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction. - Sirui Xu 002; Ziyin Wang; Yu-Xiong Wang; Liangyan Gui (NeurIPS, 2024)

ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing. - Jun-Kun Chen; Yu-Xiong Wang (NeurIPS, 2024)

InstructG2I: Synthesizing Images from Multimodal Attributed Graphs. - Bowen Jin; Ziqi Pang; Bingjun Guo; Yu-Xiong Wang; Jiaxuan You; Jiawei Han 001 (NeurIPS, 2024)

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding. - Yunze Man; Shuhong Zheng; Zhipeng Bao; Martial Hebert; Liangyan Gui; Yu-Xiong Wang (NeurIPS, 2024)

Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers. - Kai Yan; Alexander G. Schwing; Yu-Xiong Wang (NeurIPS, 2024)

SceneCraft: Layout-Guided 3D Scene Generation. - Xiuyu Yang; Yunze Man; Jun-Kun Chen; Yu-Xiong Wang (NeurIPS, 2024)

Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models. - Zhipeng Bao; Yijun Li 001; Krishna Kumar Singh; Yu-Xiong Wang; Martial Hebert (SIGGRAPH (Conference Paper Track), 2024)

Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision. - Shengcao Cao; Liang-Yan Gui; Yu-Xiong Wang (CoRR, 2024)

ReferEverything: Towards Segmenting Everything We Can Speak of in Videos. - Anurag Bagchi; Zhipeng Bao; Yu-Xiong Wang; Pavel Tokmakov; Martial Hebert (CoRR, 2024)

PaintScene4D: Consistent 4D Scene Generation from Text Prompts. - Vinayak Gupta; Yunze Man; Yu-Xiong Wang (CoRR, 2024)

Can We Generate Visual Programs Without Prompting LLMs? - Michal Shlapentokh-Rothman; Yu-Xiong Wang; Derek Hoiem (CoRR, 2024)

Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents. - Yifei Zhou; Qianlan Yang; Kaixiang Lin; Min Bai; Xiong Zhou; Yu-Xiong Wang; Sergey Levine; Li Erran Li (CoRR, 2024)

Generalized few-shot node classification: toward an uncertainty-based solution. - Zhe Xu 007; Kaize Ding; Yu-Xiong Wang; Huan Liu 001; Hanghang Tong (Knowl. Inf. Syst., 2024)

InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions. - Sirui Xu 002; Hung Yu Ling; Yu-Xiong Wang; Liang-Yan Gui (CVPR, 2025)

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation. - Sirui Xu 002; Dongting Li; Yucheng Zhang; Xiyan Xu; Qi Long; Ziyin Wang; Yunzhi Lu; Shuchang Dong; Hezi Jiang; Akshat Gupta; Yu-Xiong Wang; Liang-Yan Gui (CVPR, 2025)

GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation. - Lang Lin; Xueyang Yu; Ziqi Pang; Yu-Xiong Wang (CVPR, 2025)

Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought. - Yunze Man; De-An Huang; Guilin Liu; Shiwei Sheng; Shilong Liu; Liang-Yan Gui; Jan Kautz; Yu-Xiong Wang; Zhiding Yu (CVPR, 2025)

Floating No More: Object-Ground Reconstruction from a Single Image. - Yunze Man; Yichen Sheng; Jianming Zhang; Liang-Yan Gui; Yu-Xiong Wang (CVPR, 2025)

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders. - Ziqi Pang; Tianyuan Zhang; Fujun Luan; Yunze Man; Hao Tan 002; Kai Zhang 045; William T. Freeman; Yu-Xiong Wang (CVPR, 2025)

3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing. - Jiahua Dong 002; Yu-Xiong Wang (ICLR, 2025)

Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning. - Yuxiang Lu; Shengcao Cao; Yu-Xiong Wang (ICLR, 2025)

Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception. - Ziqi Pang; Xin Xu; Yu-Xiong Wang (ICLR, 2025)

RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning. - Qianlan Yang; Yu-Xiong Wang (ICLR, 2025)

Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models. - Shuhong Zheng; Zhipeng Bao; Ruoyu Zhao; Martial Hebert; Yu-Xiong Wang (ICLR, 2025)

SCas4D: Structural Cascaded Optimization for Boosting Persistent 4D Novel View Synthesis. - Jipeng Lyu; Jiahua Dong 002; Yu-Xiong Wang (Trans. Mach. Learn. Res., 2025)

V2Edit: Versatile Video Diffusion Editor for Videos and 3D Scenes. - Yanming Zhang; Jun-Kun Chen; Jipeng Lyu; Yu-Xiong Wang (CoRR, 2025)

AgMMU: A Comprehensive Agricultural Multimodal Understanding and Reasoning Benchmark. - Aruna Gauba; Irene Pi; Yunze Man; Ziqi Pang; Vikram S. Adve; Yu-Xiong Wang (CoRR, 2025)

MR. Video: "MapReduce" is the Principle for Long Video Understanding. - Ziqi Pang; Yu-Xiong Wang (CoRR, 2025)

Learning to Detect Novel Species with SAM in the Wild. - Garvita Allabadi; Ana Lucic; Yu-Xiong Wang; Vikram S. Adve (Int. J. Comput. Vis., 2025)

Refer to Anything with Vision-Language Prompts. - Shengcao Cao; Zijun Wei; Jason Kuen; Kangning Liu; Lingzhi Zhang; Jiuxiang Gu; Hyunjoon Jung; Liang-Yan Gui; Yu-Xiong Wang (CoRR, 2025)

Towards Formal Verification of LLM-Generated Code from Natural Language Prompts. - Aaron Councilman; David Fu; Aryan Gupta; Chengxiao Wang; David Grove; Yu-Xiong Wang; Vikram S. Adve (CoRR, 2025)