Publications

You can also find my publications on my Google Scholar profile.

Year: 2025 2024 2023 2022 2021 2020 Before 2020

2025

Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning

Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning

Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang

ICLR 2025

[PDF]

RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning

RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning

Qianlan Yang, Yu-Xiong Wang

ICLR 2025

[PDF]

3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing

3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing

Jiahua Dong, Yu-Xiong Wang

ICLR 2025

[Website] [PDF] [Code]

Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception

Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception

Ziqi Pang*, Xu Xin*, Yu-Xiong Wang

ICLR 2025

[Website] [PDF] [Code]

Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models

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

[Website] [PDF]

2024

Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision

Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision

Shengcao Cao, Liang-Yan Gui, Yu-Xiong Wang

arXiv, 2024

[Website] [PDF] [Code]

Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers

Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers

Kai Yan, Alex Schwing, Yu-Xiong Wang

NeurIPS, 2024 (Spotlight)

[Website] [PDF] [Code]

InstructG2I: Synthesizing Images from Multimodal Attributed Graphs

InstructG2I: Synthesizing Images from Multimodal Attributed Graphs

Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han

NeurIPS, 2024

[Website] [PDF] [Code]

ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing

ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing

Jun-Kun Chen, Yu-Xiong Wang

NeurIPS, 2024

[Website] [PDF]

SceneCraft: Layout-Guided 3D Scene Generation

SceneCraft: Layout-Guided 3D Scene Generation

Xiuyu Yang, Yunze Man, Jun-Kun Chen, Yu-Xiong Wang

NeurIPS, 2024

[Website] [PDF] [Code]

InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction

InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction

Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liang-Yan Gui

NeurIPS, 2024.

[Website] [PDF]

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Reasoning

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Reasoning

Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, Yu-Xiong Wang

NeurIPS, 2024.

[Website] [PDF] [Code]

Floating No More: Object-Ground Reconstruction from a Single Image

Floating No More: Object-Ground Reconstruction from a Single Image

Yunze Man, Yichen Sheng, Jianming Zhang, Liang-Yan Gui, Yu-Xiong Wang

arXiv, 2024.

[Website] [PDF]

AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation

AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation

Ri-Zhao Qiu, Yu-Xiong Wang*, Kris Hauser*

ECCV, 2024 (Oral).

[PDF] [Code]

Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models

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.

[Website] [PDF] [Code]

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching

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Kai Yan, Alex Schwing, Yu-Xiong Wang

ICML, 2024.

[Website] [PDF] [Code]

ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories

ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories

Qianlan Yang, Yu-Xiong Wang

ICML, 2024.

[Website] [PDF]

Aligning Large Multimodal Models with Factually Augmented RLHF

Aligning Large Multimodal Models with Factually Augmented RLHF

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

ACL Findings, 2024.

[Website] [PDF] [Code]

Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models

Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models

Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert

SIGGRAPH, 2024.

[PDF]

Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion

Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion

Linzhan Mou*, Jun-Kun Chen*, Yu-Xiong Wang

CVPR, 2024.

[Website] [PDF] [Poster] [Video]

ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing

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.

[Website] [PDF] [Poster] [Video]

TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding

TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding

Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang

CVPR, 2024.

[Website] [PDF] [Code] [Video]

Situational Awareness Matters in 3D Vision Language Reasoning

Situational Awareness Matters in 3D Vision Language Reasoning

Yunze Man, Liangyan Gui, Yu-Xiong Wang

CVPR, 2024.

[Website] [PDF] [Code] [Video]

Restricted Memory Banks Improve Video Object Segmentation: A Revisit

Restricted Memory Banks Improve Video Object Segmentation: A Revisit

Junbao Zhou, Ziqi Pang, Yu-Xiong Wang

CVPR, 2024.

[Website] [PDF] [Code] [Video]

Region Representations Revisited

Region Representations Revisited

Michal Shlapentokh-Rothman* , Ansel Blume*, Yao Xiao, Yuqun Wu, Sethurame TV, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem

CVPR, 2024.

[Website] [PDF] [Code] [Poster] [Video]

Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models

Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models

Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang

arXiv

[Website] [PDF] [Code]

Frozen Transformers in Language Models Are Effective Visual Encoder Layers

Frozen Transformers in Language Models Are Effective Visual Encoder Layers

Ziqi Pang, Ziyang Xie*, Yunze Man*, Yu-Xiong Wang

ICLR 2024 (Spotlight, Top 5%)

[Website] [Code]

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation

Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang

ICLR, 2024.

[PDF]

2023

YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis

YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis

Andy Zhou*, Samuel Li*, Pranav Sriram*, Xiang Li*, Jiahua Dong*, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Maria Jaromin, Volodymyr Kindratenko, George Heintz, Christopher Zallek, Yu-Xiong Wang

NeurIPS Datasets and Benchmarks Track, 2023.

[Website] [PDF]

ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields

ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields

Jiahua Dong, Yu-Xiong Wang

NeurIPS, 2023.

[Website] [PDF] [Code]

HASSOD: Hierarchical Adaptive Self-Supervised Object Detection

HASSOD: Hierarchical Adaptive Self-Supervised Object Detection

Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang

NeurIPS, 2023.

[Website] [PDF] [Code] [Video]

A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories

A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories

Kai Yan, Alexander G. Schwing, Yu-Xiong Wang

NeurIPS, 2023.

[Website] [PDF] [Code] [Poster] [Video]

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models

Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang

NeurIPS, 2023.

[PDF] [Code]

Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study

Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study

Yuanyi Zhong*, Haoran Tang*, Junkun Chen*, Yu-Xiong Wang

ICCV, 2023.

MV-Map: Offboard HD-Map Generation with Multi-view Consistency

MV-Map: Offboard HD-Map Generation with Multi-view Consistency

Ziyang Xie*, Ziqi Pang*, Yu-Xiong Wang

ICCV, 2023.

[Website] [PDF] [Code] [Poster] [Video]

Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors

Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors

Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth

ICCV, 2023.

Video State-Changing Object Segmentation

Video State-Changing Object Segmentation

Jiangwei Yu*, Xiang Li*, Xinran Zhao, Hongming Zhang, Yu-Xiong Wang

ICCV, 2023.

[Website] [PDF]

Multi-task View Synthesis with Neural Radiance Fields

Multi-task View Synthesis with Neural Radiance Fields

Shuhong Zheng*, Zhipeng Bao*, Martial Hebert, Yu-Xiong Wang

ICCV, 2023.

[Website] [PDF] [Code]

InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion

InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion

Sirui Xu, Zhengyuan Li, Yu-Xiong Wang*, Liangyan Gui*

ICCV, 2023.

[Website] [PDF] [Code] [Video]

Revisiting Deformable Convolution for Depth Completion

Revisiting Deformable Convolution for Depth Completion

Xinglong Sun, Jean Ponce, Yu-Xiong Wang

IROS, 2023.

Streaming Motion Forecasting for Autonomous Driving

Streaming Motion Forecasting for Autonomous Driving

Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang

IROS, 2023.

[Website] [PDF] [Code]

DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception

DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception

Yunze Man, Liangyan Gui, Yu-Xiong Wang

IROS, 2023.

[Website] [PDF] [Code] [Poster] [Video]

Learning Lightweight Object Detectors via Progressive Knowledge Distillation

Learning Lightweight Object Detectors via Progressive Knowledge Distillation

Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui

ICML, 2023.

[PDF] [Code]

NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds

NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds

Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang

CVPR, 2023.

[Website] [PDF]

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking

Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang

CVPR, 2023.

[Website] [PDF] [Code] [Video]

Contrastive Mean Teacher for Domain Adaptive Object Detectors

Contrastive Mean Teacher for Domain Adaptive Object Detectors

Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang

CVPR, 2023.

[PDF] [Code] [Video]

BEV-Guided Multi-Modality Fusion for Driving Perception

BEV-Guided Multi-Modality Fusion for Driving Perception

Yunze Man, Liangyan Gui, Yu-Xiong Wang

CVPR, 2023.

[Website] [PDF] [Code] [Poster] [Video]

Object Discovery from Motion-Guided Tokens

Object Discovery from Motion-Guided Tokens

Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert

CVPR, 2023.

[Website] [PDF] [Code]

GAPS: Few-Shot Incremental Semantic Segmentation via Guided Copy-Paste Synthesis

GAPS: Few-Shot Incremental Semantic Segmentation via Guided Copy-Paste Synthesis

Ri-Zhao Qiu, Peiyi Chen, Wangzhe Sun, Yu-Xiong Wang, Kris Hauser

CVPR Workshop on Learning with Limited Labelled Data, 2023.

From N to N+1: Learning to Detect Novel Animals with SAM in the Wild

From N to N+1: Learning to Detect Novel Animals with SAM in the Wild

Garvita Allabadi, Ana Lucic, Yu-Xiong Wang, Vikram Adve

CVPR Workshop on CV4Animals, 2023.

Stochastic Multi-Person 3D Motion Forecasting

Stochastic Multi-Person 3D Motion Forecasting

Sirui Xu, Yu-Xiong Wang*, Liangyan Gui*

ICLR, **Notable-Top-25%**, 2023.

[Website] [PDF] [Code]

Do Pre-Trained Models Benefit Equally in Continual Learning?

Do Pre-Trained Models Benefit Equally in Continual Learning?

Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang

WACV, 2023.

[Website] [PDF] [Code] [Poster] [Video]

Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields

Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields

Mingtong Zhang*, Shuhong Zheng*, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang

WACV, 2023.

[PDF] [Code] [Video]

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching

Kai Yan, Alexander G. Schwing, Yu-Xiong Wang

NeurIPS Workshop on Optimal Transport and Machine Learning, 2023.

[Website] [PDF] [Code] [Poster] [Video]

Aligning Large Multimodal Models with Factually Augmented RLHF

Aligning Large Multimodal Models with Factually Augmented RLHF

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

arXiv, 2023.

[Website] [PDF] [Code]

2022

CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations

CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations

Kai Yan, Alexander G. Schwing, Yu-Xiong Wang

NeurIPS, 2022.

[Website] [PDF] [Code] [Poster] [Video]

LECO: Learning with an Evolving Class Ontology

LECO: Learning with an Evolving Class Ontology

Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong

NeurIPS, 2022.

[Website] [PDF]

The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence

The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence

Brando Miranda, Patrick Yu, Yu-Xiong Wang, Oluwasanmi Koyejo

NeurIPS Workshop on Meta-Learning, **Contributed Talk**, 2022.

[PDF] [Poster]

Towards Overcoming Data Scarcity in Materials Science: Unifying Models and Datasets with a Mixture of Experts Framework

Towards Overcoming Data Scarcity in Materials Science: Unifying Models and Datasets with a Mixture of Experts Framework

Rees Chang, Yu-Xiong Wang, Elif Ertekin

Nature npj Computational Materials, 2022.

[PDF] [Code]

Generalized Few-Shot Node Classification on Graphs

Generalized Few-Shot Node Classification on Graphs

Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong

ICDM, 2022.

[PDF]

Diverse Human Motion Prediction Guided by Multi-Level Spatial Temporal Anchors

Diverse Human Motion Prediction Guided by Multi-Level Spatial Temporal Anchors

Sirui Xu, Yu-Xiong Wang*, Liang-Yan Gui*

ECCV, **Oral Presentation**, 2022.

[Website] [PDF] [Code]

PointTree: Transformation Robust Point Cloud Encoder with Relaxed K-D Trees

PointTree: Transformation Robust Point Cloud Encoder with Relaxed K-D Trees

Junkun Chen, Yu-Xiong Wang

ECCV, 2022.

[PDF] [Code]

Generative Modeling for Multi-Task Visual Learning

Generative Modeling for Multi-Task Visual Learning

Zhipeng Bao, Martial Hebert, Yu-Xiong Wang

ICML, 2022.

[PDF] [Code]

Is Self-Supervised Contrastive Learning More Robust Than Supervised Learning?

Is Self-Supervised Contrastive Learning More Robust Than Supervised Learning?

Yuanyi Zhong, Haoran Tang, Junkun Chen, Jian Peng, Yu-Xiong Wang

ICML Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward, 2022.

[PDF]

DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering

DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering

Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David Forsyth

CVPR, **Best Paper Award Finalist**, 2022.

[Website] [PDF]

Discovering Objects that Can Move

Discovering Objects that Can Move

Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert

CVPR, 2022.

[Website] [PDF]

Long-Tailed Recognition via Weight Balancing

Long-Tailed Recognition via Weight Balancing

Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong

CVPR, 2022.

[PDF] [Code]

Embracing Single Stride 3D Object Detector with Sparse Transformer

Embracing Single Stride 3D Object Detector with Sparse Transformer

Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang

CVPR, 2022.

[Website] [PDF] [Code]

On the Importance of Firth Bias Reduction in Few-Shot Classification

On the Importance of Firth Bias Reduction in Few-Shot Classification

Saba Ghaffari*, Ehsan Saleh*, David Forsyth, Yu-Xiong Wang

ICLR, 2022.

[Website] [PDF]

2021

SIRfyN: Single Image Relighting from your Neighbors

SIRfyN: Single Image Relighting from your Neighbors

David Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang

Arxiv, 2021.

[PDF]

Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation

Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation

Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yuxiong Wang

ICCV, 2021.

[PDF]

Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision

Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision

Liangke Gui*, Adrien Bardes*, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yuxiong Wang

ICCV, 2021 (\* indicates equal contribution).

[PDF]

On the Importance of Distractors for Few-Shot Learning

On the Importance of Distractors for Few-Shot Learning

Rajshekhar Das, Yuxiong Wang, José M. F. Moura

ICCV, 2021.

[PDF]

Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection

Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection

Nadine Chang, Zhiding Yu, Yuxiong Wang, Anima Anandkumar, Sanja Fidler, Jose M. Alvarez

ICML, 2021.

[PDF]

Hallucination Improves Few-Shot Object Detection

Hallucination Improves Few-Shot Object Detection

Weilin Zhang, Yuxiong Wang

CVPR, 2021.

[PDF]

DAP: Detection-Aware Pre-training with Weak Supervision

DAP: Detection-Aware Pre-training with Weak Supervision

Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yuxiong Wang, , Lei Zhang

CVPR, 2021.

[PDF]

Unlocking the Full Potential of Small Data with Diverse Supervision

Unlocking the Full Potential of Small Data with Diverse Supervision

Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yuxiong Wang, Martial Hebert

CVPR Workshop on Learning from Limited or Imperfect Data, 2021.

[Website] [PDF] [Code]

Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis

Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis

Zhipeng Bao, Yuxiong Wang, Martial Hebert

ICLR, 2021.

[PDF] [code]

2020

Towards Streaming Perception

Towards Streaming Perception

Mengtian Li, Yuxiong Wang, Deva Ramanan

**Oral Presentation, Best Paper Honorable Mention**, ECCV, 2020.

[PDF]

Before 2020

Meta-Learning to Detect Rare Objects

Meta-Learning to Detect Rare Objects

Yuxiong Wang, Deva Ramanan, Martial Hebert,

ICCV, 2019.

[PDF] [Poster]

Learning Compositional Representations for Few-Shot Recognition

Learning Compositional Representations for Few-Shot Recognition

Pavel Tokmakov, Yuxiong Wang, Martial Hebert

ICCV, 2019.

[PDF] [Poster]

Image Deformation Meta-Networks for One-Shot Learning

Image Deformation Meta-Networks for One-Shot Learning

Zitian Chen, Yanwei Fu, Yuxiong Wang, Lin Ma, Wei Liu, Martial Hebert

Oral Presentation, Best Paper Award Finalist, CVPR, 2019.

[PDF] [Poster]

Embodied One-Shot Video Recognition: Learning from Actions of a Virtual Embodied Agent

Embodied One-Shot Video Recognition: Learning from Actions of a Virtual Embodied Agent

Yuqian Fu, Chengrong Wang, Yanwei Fu, Yuxiong Wang, Cong Bai, Xiangyang Xue, Yu-Gang

Jiang, Lin Ma, Wei Liu, Martial Hebert

[PDF]

Teaching Robots to Predict Human Motion

Teaching Robots to Predict Human Motion

Liang-Yan Gui, Kevin Zhang, Yuxiong Wang, Xiaodan Liang, José M. F. Moura, Manuela M. Veloso

Oral Presentation, IROS, 2018.

[PDF]

Few-Shot Human Motion Prediction via Meta-Learning

Few-Shot Human Motion Prediction via Meta-Learning

Liang-Yan Gui, Yuxiong Wang, Deva Ramanan, José M. F. Moura

ECCV, 2018.

[PDF] [Poster]

Adversarial Geometry-Aware Human Motion Prediction

Adversarial Geometry-Aware Human Motion Prediction

Yuxiong Wang*, Liang-Yan Gui*, Xiaodan Liang, José M. F. Moura

Oral Presentation, ECCV, 2018 (* indicates equal contribution).

[PDF] [Poster]

Low-Shot Learning from Imaginary Data

Low-Shot Learning from Imaginary Data

Yuxiong Wang, Ross Girshick, Martial Hebert, Bharath Hariharan

Spotlight Oral Presentation, CVPR, 2018.

[PDF] [Poster]

Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering

Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering

Liang-Yan Gui, Liangke Gui, Yuxiong Wang, Louis-Philippe Morency, José M. F. Moura

Oral Presentation, WACV, 2018.

[PDF]

Learning to Model the Tail

Learning to Model the Tail

Yuxiong Wang, Deva Ramanan, Martial Hebert

NeurIPS, 2017.

[PDF] [Poster]

Few-Shot Hash Learning for Image Retrieval

Few-Shot Hash Learning for Image Retrieval

Yuxiong Wang, Liangke Gui, Martial Hebert

ICCV Workshops, 2017.

[PDF] [Poster]

Growing a Brain: Fine-Tuning by Increasing Model Capacity

Growing a Brain: Fine-Tuning by Increasing Model Capacity

Yuxiong Wang, Deva Ramanan, Martial Hebert

CVPR, 2017.

[PDF] [Poster]

Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs

Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs

Yuxiong Wang, Martial Hebert

NeurIPS, 2016.

[PDF] [Poster]

Learning to Learn: Model Regression Networks for Easy Small Sample Learning

Learning to Learn: Model Regression Networks for Easy Small Sample Learning

Yuxiong Wang, Martial Hebert

ECCV, 2016.

[PDF] [Poster]

Learning by Transferring from Unsupervised Universal Sources

Learning by Transferring from Unsupervised Universal Sources

Yuxiong Wang, Martial Hebert

Oral Presentation, AAAI, 2016.

[PDF]

Model Recommendation: Generating Object Detectors from Few Samples

Model Recommendation: Generating Object Detectors from Few Samples

Yuxiong Wang, Martial Hebert

CVPR, 2015.

[PDF] [Poster]

Self-Explanatory Sparse Representation for Image Classification

Self-Explanatory Sparse Representation for Image Classification

Yuxiong Wang*, Baodi Liu*, Bin Shen, Yu-Jin Zhang, Martial Hebert

ECCV, 2014 (* indicates equal contribution).

[PDF] [Poster]

Non-Negative Matrix Factorization: A Comprehensive Review

Non-Negative Matrix Factorization: A Comprehensive Review

Yuxiong Wang, Yu-Jin Zhang

IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 6, pp.1336-1353, 2013.

[PDF]