Selected Publications

NDPP-Grasp: Non-Differentiable Physical Plausibility Constraint-Guided Task-Oriented Dexterous Grasp Generation

Qiuchi Xiang, Haoxuan Qu, Hossein Rahmani, Jun Liu

Annual Conference on Neural Information Processing Systems (NeurIPS), 2026.

Look Before You Leap: Self-Evolving Clinical Reasoning with Psychometric Preference Optimization for Radiology Report Generation

Qi Wang, Yunfeng Min, Liwei Huang, Zeyu Zhang, Di Gai, Jun Liu

Annual Conference on Neural Information Processing Systems (NeurIPS), 2026.

Dynamic Causal Structure Discovery for Autoregressive Visual Generation

Songliang Guo, Qi Yan, Jianzhou Wang, Xinfu Liu, Cheng Zhen, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu

Annual Conference on Neural Information Processing Systems (NeurIPS), 2026.

Training-free Controllable Human Motion Generation under Heterogeneous Constraints

Xiaofei Hui, Bo Yan, Haoxuan Qu, Hossein Rahmani, Jun Liu

European Conference on Computer Vision (ECCV), 2026. (Spotlight Paper)

HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models

Yu Xue, Haoxuan Qu, Zhuoling Li, Hongbin Xu, Jianxiong Yin, Simon See, Hossein Rahmani, Jun Liu

European Conference on Computer Vision (ECCV), 2026.

Automatic Method Illustration Generation for AI Scientific Papers via Drawing Middleware Creation, Evolution, and Orchestration

Zhuoling Li, Jiarui Zhang, Ping Hu, Jason Kuen, Jiuxiang Gu, Hossein Rahmani, Jun Liu

European Conference on Computer Vision (ECCV), 2026.

Is Monitoring Enough? Strategic Agent Selection For Stealthy Attack in Multi-Agent Discussions

Qiuchi Xiang, Haoxuan Qu, Hossein Rahmani, Jun Liu

European Conference on Computer Vision (ECCV), 2026.

New Wide-Net-Casting Jailbreak Attacks Risk Large Models

Qiuchi Xiang, Haoxuan Qu, Hossein Rahmani, Jun Liu

International Conference on Machine Learning (ICML), 2026.

Beyond Sample-Level Forgetting: Improving Reliability in Multimodal Unlearning

Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu

International Conference on Machine Learning (ICML), 2026.

SkelHCC: A Hyperbolic CLIP-Driven Cache Adaptation Framework for Skeleton-based One-Shot Action Recognition

Yanan Liu, Anqi Zhu, Jingmin Zhu, Jun Liu, Hossein Rahmani, Mohammed Bennamoun, Farid Boussaid, Dan Xu, Qiuhong Ke

International Conference on Machine Learning (ICML), 2026.

Counterfactual Occlusion-Aware Learning via Visibility Intervention for LiDAR Anomaly Detection

Longyu Yang, Jun Liu, Yap-Peng Tan, Fumin Shen, Heng Tao Shen, Xiaofeng Zhu, Ping Hu

International Conference on Machine Learning (ICML), 2026.

Translating Signals to Languages for sEMG-Based Activity Recognition

Ming Wang, Haoxuan Qu, Qiuhong Ke, Wei Zhou, Hossein Rahmani, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation

Zhuoling Li, Hossein Rahmani, Jiarui Zhang, Yu Xue, Majid Mirmehdi, Jason Kuen, Jiuxiang Gu, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

UniF^2ace: A Unified Fine-grained Face Understanding and Generation Model

Junzhe Li, Sifan Zhou, Liya Guo, Xuerui Qiu, Linrui Xu, Delin Qu, Tingting Long, Chun Fan, Ming Li, Hehe Fan, Jun Liu, Shuicheng Yan

International Conference on Learning Representations (ICLR), 2026.

VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG

Honghao Fu, Miao Xu, Yiwei Wang, Dailing Zhang, Jun Liu, Yujun Cai

Annual Meeting of the Association for Computational Linguistics (ACL), 2026.

Disentangled Knowledge Forgetting in Machine Unlearning

Yuhang Xia, Cheng Zhen, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu

International Joint Conference on Artificial Intelligence (IJCAI), 2026.

Unleashing the Power of Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation

Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, De Wen Soh, Mohammed Bennamoun, Jun Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026.

DynaPURLS: Dynamic Refinement of Part-aware Representations for Skeleton-based Zero-Shot Action Recognition

Jingmin Zhu, Anqi Zhu, James Bailey, Jun Liu, Hossein Rahmani, Mohammed Bennamoun, Farid Boussaid, Qiuhong Ke

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026.

Learning to Generate Cross-Task Unexploitable Examples

Haoxuan Qu, Qiuchi Xiang, Yujun Cai, Yirui Wu, Majid Mirmehdi, Hossein Rahmani, Jun Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. (Major Revision)

A Mixed-Primitive-based Gaussian Splatting Method for Surface Reconstruction

Haoxuan Qu, Yujun Cai, Hossein Rahmani, Ajay Kumar, Junsong Yuan, Jun Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. (Major Revision)

Scalable Unseen Objects 6-DoF Absolute Pose Estimation with Robotic Integration

Jian Liu, Wei Sun, Kai Zeng, Jin Zheng, Hui Yang, Hossein Rahmani, Ajmal Mian, Lin Wang

IEEE Transactions on Robotics (T-RO), 2026.

Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports

Haopeng Li, Andong Deng, Jun Liu, Hossein Rahmani, Yulan Guo, Bernt Schiele, Mohammed Bennamoun, Qiuhong Ke

International Journal of Computer Vision (IJCV), 2026.

When Visual Privacy Protection Meets Multimodal Large Language Models

Xiaofei Hui, Qian Wu, Haoxuan Qu, Majid Mirmehdi, Hossein Rahmani, Jun Liu

International Journal of Computer Vision (IJCV), 2026.

Explicit Geometry-Reflectance Domain Shift Modeling for Robust LiDAR Segmentation in Adverse Weather

Longyu Yang, Shangbo Yuan, Lu Zhang, Jun Liu, Heng Tao Shen, Xiaofeng Zhu, Ping Hu

International Journal of Computer Vision (IJCV), 2026.

Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly

Hang Du, Guoshun Nan, Jiawen Qian, Wangchenhui Wu, Wendi Deng, Hanqing Mu, Zhenyan Chen, Pengxuan Mao, Xiaofeng Tao, Jun Liu

International Journal of Computer Vision (IJCV), 2026.

PePNet: Pose-Enhanced Point Cloud Network for LiDAR-based Human Action Recognition in Outdoor Long-Range Scenarios

Mengyuan Liu, Zhichao Deng, Wanying Zhang, Ziyi Wang, Peiming Li, Jun Liu

IEEE Transactions on Image Processing (TIP), 2026.

Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey

Weide Liu, Wei Zhou, Jun Liu, Ping Hu, Jun Cheng, Jungong Han, Weisi Lin

ACM Computing Surveys (CSUR), 2026.

Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation

Jingmin Zhu, Anqi Zhu, Hossein Rahmani, Jun Liu, Mohammed Bennamoun, Qiuhong Ke

Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems

Yi Zhang, Yushen Long, Liping Huang, Yun Ni, Xiaohong Wang, Jun Liu

Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

Boundary Probing for Input Privacy Protection When Using LMM Services

Xiaofei Hui, Haoxuan Qu, Ping Hu, Hossein Rahmani, Jun Liu

International Conference on Computer Vision (ICCV), 2025.

DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models

Zhuoling Li, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Qiuhong Ke, Jun Liu, Hossein Rahmani

International Conference on Computer Vision (ICCV), 2025.

Performing Defocus Deblurring by Modeling its Formation Process

Zhengbo Zhang, Lin Geng Foo, Hossein Rahmani, Jun Liu, De Wen Soh

International Conference on Computer Vision (ICCV), 2025.

Recognizing Actions from Robotic View for Natural Human-Robot Interaction

Ziyi Wang, Peiming Li, Hong Liu, Zhichao Deng, Can Wang, Jun Liu, Junsong Yuan, Mengyuan Liu

International Conference on Computer Vision (ICCV), 2025.

An Image-like Diffusion Method for Human-Object Interaction Detection

Xiaofei Hui, Haoxuan Qu, Hossein Rahmani, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

LongDiff: Training-Free Long Video Generation in One Go

Zhuoling Li, Hossein Rahmani, Qiuhong Ke, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation

Lanyun Zhu, Tianrun Chen, Qianxiong Xu, Xuanyi Liu, Deyi Ji, Haiyang Wu, De Wen Soh, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models

Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather

Longyu Yang, Ping Hu, Shangbo Yuan, Lu Zhang, Jun Liu, Heng Tao Shen, Xiaofeng Zhu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (Oral Paper)

CMMLoc: Advancing Text-to-Point Cloud Localization with Cauchy-Mixture-Model Based Framework

Yanlong Xu, Haoxuan Qu, Jun Liu, Wenxiao Zhang, Xun Yang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters

Lixin Yuan, Yirui Wu, Wenxiao Zhang, Minglei yuan, Jun Liu

International Conference on Machine Learning (ICML), 2025.

CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models

Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, De Wen Soh, Jun Liu

International Conference on Machine Learning (ICML), 2025.

GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians

Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao

International Conference on Learning Representations (ICLR), 2025.

Global-Semantic Alignment Distillation for Partial Multi-view Classification

Xiao-Li Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, Jun Liu

AAAI Conference on Artificial Intelligence (AAAI), 2025.

Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation

Yirui Wu, Yuhang Xia, Hao Li, Lixin Yuan, Junyang Chen, Jun Liu, Tong Lu, Shaohua Wan

AAAI Conference on Artificial Intelligence (AAAI), 2025.

Cross-modal Collaborative Representation Learning for Text-to-Image Person Retrieval

Shuanglin Yan, Jun Liu, Neng Dong, Liyan Zhang, Jinhui Tang

International Joint Conference on Artificial Intelligence (IJCAI), 2025.

Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection

Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Junyang Chen, Huan Wang, Wenhai Wang

International Joint Conference on Artificial Intelligence (IJCAI), 2025.

Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization

Shuyang Hao, Yiwei Wang, Bryan Hooi, Jun Liu, Muhao Chen, Zi Huang, Yujun Cai

Findings of Empirical Methods in Natural Language Processing (EMNLP), 2025.

Replay Master: Automatic Sample Selection and Effective Memory Utilization for Continual Semantic Segmentation

Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, De Wen Soh, Jun Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

Unified Prompt Attack Against Text-to-Image Generation Models

Duo Peng, Qiuhong Ke, Mark He Huang, Ping Hu, Jun Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

LLaFS++: Few-Shot Image Segmentation with Large Language Models

Lanyun Zhu, Tianrun Chen, Deyi Ji, Peng Xu, Jieping Ye, Jun Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

Disentangled Dynamic Intrusion Detection

Chenyang Qiu, Guoshun Nan, Hongrui Xia, Mingwei Wang, Zheng Weng, Xueting Wang, Meng Shen, Xiaofeng Tao, Jun Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

On Efficient Variants of Segment Anything Model: A Survey

Xiaorui Sun, Jun Liu, Heng Tao Shen, Xiaofeng Zhu, Ping Hu

International Journal of Computer Vision (IJCV), 2025.

Not Every Patch is Needed: Towards a More Efficient and Effective Backbone for Video-based Person Re-identification

Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu

IEEE Transactions on Image Processing (TIP), 2025.

Momentum Contrastive Teacher for Semi-Supervised Skeleton Action Recognition

Mingqi Lu, Xiaobo Lu, Jun Liu

IEEE Transactions on Image Processing (TIP), 2025.

Fine-Grained Image Captioning by Ranking Diffusion Transformer

Jun Wan, Min Gan, Lefei Zhang, Jie Zhou, Jun Liu, Bo Du, C. L. Philip Chen

IEEE Transactions on Image Processing (TIP), 2025.

MantleMark: Migrating Watermarks from Multi-View Images to Radiance Fields via Frequency Modulation

Ziyuan Luo, Jun Liu, Haoliang Li, Anderson Rocha, Renjie Wan

IEEE Transactions on Information Forensics and Security (TIFS), 2025.

Unpaired 3D Shape-to-Shape Translation via Gradient-Guided Triplane Diffusion

Wenxiao Zhang, Hossein Rahmani, Jun Liu

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025.

AI-Generated Content (AIGC) for Various Data Modalities: A Survey

Lin Geng Foo, Hossein Rahmani, Jun Liu

ACM Computing Surveys (CSUR), 2025.

Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation

Lili Wei, Congyan Lang, Ziyi Chen, Tao Wang, Yidong Li, Jun Liu

Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. (Spotlight Paper)

DisC-GS: Discontinuity-aware Gaussian Splatting

Haoxuan Qu, Zhuoling Li, Hossein Rahmani, Yujun Cai, Jun Liu

Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.

Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation

Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, David Yau, Jun Liu

European Conference on Computer Vision (ECCV), 2024. (Oral Paper)

SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild

Pengfei Wang, Xiaofei Hui, Jing Wu, Zile Yang, Kian Eng Ong, Xinge Zhao, Beijia Lu, Dezhao Huang, Evan Ling, Weiling Chen, Keng Teck Ma, Minhoe Hur, Jun Liu

European Conference on Computer Vision (ECCV), 2024.

Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers

Zhengbo Zhang, Li Xu, Duo Peng, Hossein Rahmani, Jun Liu

European Conference on Computer Vision (ECCV), 2024.

Towards Physical World Backdoor Attacks against Skeleton Action Recognition

Qichen Zheng, Yi Yu, Siyuan Yang, Jun Liu, Kwok-Yan Lam, Alex Kot

European Conference on Computer Vision (ECCV), 2024.

Learning to Unlearn for Robust Machine Unlearning

Mark He Huang, Lin Geng Foo, Jun Liu

European Conference on Computer Vision (ECCV), 2024.

LTRL: Boosting Long-tail Recognition via Reflective Learning

Qihao Zhao, Yalun Dai, Shen Lin, Wei Hu, Fan Zhang, Jun Liu

European Conference on Computer Vision (ECCV), 2024. (Oral Paper)

Class-Agnostic Object Counting with Text-to-Image Diffusion Model

Xiaofei Hui, Qian Wu, Hossein Rahmani, Jun Liu

European Conference on Computer Vision (ECCV), 2024.

UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers

Duo Peng, Qiuhong Ke, Jun Liu

International Conference on Machine Learning (ICML), 2024.

6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation

Li Xu, Haoxuan Qu, Yujun Cai, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

LLaFS: When Large-Language Models Meet Few-Shot Segmentation

Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Action Detection via an Image Diffusion Process

Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

LLMs are Good Sign Language Translators

Jia Gong, Lin Geng Foo, Yixuan He, Hossein Rahmani, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation

Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

LLMs are Good Action Recognizers

Haoxuan Qu, Yujun Cai, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content

Qihao Zhao, Yalun Dai, Hao Li, Wei Hu, Fan Zhang, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Oral Paper)

Referring Expression Counting

Siyang Dai, Jun Liu, Ngai-Man Cheung

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Highlight Paper)

LEAD: Exploring Logit Space Evolution for Model Selection

Zixuan Hu, Xiaotong Li, Shixiang Tang, Jun Liu, Yichun Hu, Lingyu Duan

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Correlation Matching Transformation Transformers for UHD Image Restoration

Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu

AAAI Conference on Artificial Intelligence (AAAI), 2024.

Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization

Siyuan Yang, Jun Liu, Shijian Lu, Er Meng Hwa, Yongjian Hu, Alex C. Kot

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching

Siyuan Yang, Jun Liu, Shijian Lu, Er Meng Hwa, Alex C. Kot

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment

Lei Wang, Jun Liu, Liang Zheng, Tom Gedeon, Piotr Koniusz

International Journal of Computer Vision (IJCV), 2024.

Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains

Yongxing Dai, Yifan Sun, Jun Liu, Zekun Tong, Ling-Yu Duan

International Journal of Computer Vision (IJCV), 2024.

Unsupervised Domain Adaptation via Domain-Adaptive Diffusion

Duo Peng, Qiuhong Ke, ArulMurugan Ambikapathi, Yasin Yazici, Yinjie Lei, Jun Liu

IEEE Transactions on Image Processing (TIP), 2024.

Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models

Yang Liu, Dingkang Yang, Yan Wang, Jing Liu, Jun Liu, Azzedine Boukerche, Peng Sun, Liang Song

ACM Computing Surveys (CSUR), 2024.

LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition

Haoxuan Qu, Xiaofei Hui, Yujun Cai, Jun Liu

Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.

Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition

Duo Peng, Li Xu, Qiuhong Ke, Ping Hu, Jun Liu

Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.

Learning Gabor Texture Features for Fine-Grained Recognition

Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu

International Conference on Computer Vision (ICCV), 2023.

MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition

Qihao Zhao, Chen Jiang, Wei Hu, Fan Zhang, Jun Liu

International Conference on Computer Vision (ICCV), 2023.

Distribution-Aligned Diffusion for Human Mesh Recovery

Lin Geng Foo, Jia Gong, Hossein Rahmani, Jun Liu

International Conference on Computer Vision (ICCV), 2023.

Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events

Kian Eng Ong, Xun Long Ng, Wenjie Ai, Yanchao Li, Kuangyi Zhao, Si Yong Yeo, Jun Liu

International Conference on Computer Vision (ICCV), 2023.

Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation

Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu

International Conference on Computer Vision (ICCV), 2023.

Heterogeneous Diversity Driven Active Learning for Multi-object Tracking

Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, Jian Zhao, Zhu Teng

International Conference on Computer Vision (ICCV), 2023.

STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition

Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu et al.

International Conference on Computer Vision (ICCV), 2023.

Continual Semantic Segmentation with Automatic Memory Sample Selection

Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Meta Compositional Referring Expression Segmentation

Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Token Boosting for Robust Self-Supervised Visual Transformer Pre-training

Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Unified Pose Sequence Modeling

Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

DiffPose: Toward More Reliable 3D Pose Estimation

Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

System-status-aware Adaptive Network for Online Streaming Video Understanding

Lin Geng Foo, Jia Gong, Zhipeng Fan, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

A Characteristic Function-based Method for Bottom-up Human Pose Estimation

Haoxuan Qu, Yujun Cai, Lin Geng Foo, Ajay Kumar, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer

Qihao Zhao, Yangyu Huang, Wei Hu, Fan Zhang, Jun Liu

International Conference on Learning Representations (ICLR), 2023.

GradMDM: Adversarial Attack on Dynamic Networks

Jianhong Pan, Lin Geng Foo, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (PREMIA Best Student Papers)

Human Action Recognition from Various Data Modalities: A Review

Zehua Sun, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang, Jun Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

Towards More Reliable Confidence Estimation

Haoxuan Qu, Lin Geng Foo, Yanchao Li, Jun Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition

Zhiheng Li, Xuyuan Gong, Ran Song, Peng Duan, Jun Liu, Wei Zhang

IEEE Transactions on Image Processing (TIP), 2023.

Precise Facial Landmark Detection by Reference Heatmap Transformer

Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong

IEEE Transactions on Image Processing (TIP), 2023.

Inference-domain Network Evolution: A New Perspective for One-shot Multi-object Tracking

Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, and Zhu Teng

IEEE Transactions on Image Processing (TIP), 2023.

Experts Collaboration Learning for Continual Multi-modal Reasoning

Li Xu, Jun Liu

IEEE Transactions on Image Processing (TIP), 2023.

Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds

Shengjing Tian, Jun Liu, Xiuping Liu

IEEE Transactions on Image Processing (TIP), 2023.

Heatmap Distribution Matching for Human Pose Estimation

Haoxuan Qu, Li Xu, Yujun Cai, Lin Geng Foo, Jun Liu

Annual Conference on Neural Information Processing Systems (NeurIPS), 2022. (Spotlight Paper, PREMIA Best Student Paper)

Meta Spatio-Temporal Debiasing for Video Scene Graph Generation

Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu

European Conference on Computer Vision (ECCV), 2022.

ERA: Expert Retrieval and Assembly for Early Action Prediction

Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu

European Conference on Computer Vision (ECCV), 2022.

Improving the Reliability for Confidence Estimation

Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu

European Conference on Computer Vision (ECCV), 2022.

GradAuto: Energy-oriented Attack on Dynamic Neural Networks

Jianhong Pan, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu

European Conference on Computer Vision (ECCV), 2022.

Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition

Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu

European Conference on Computer Vision (ECCV), 2022.

IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition

Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu

European Conference on Computer Vision (ECCV), 2022.

Meta Agent Teaming Active Learning for Pose Estimation

Jia Gong, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral Paper)

Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding

Xun Long Ng, Kian Eng Ong, Qichen Zheng, Yun Ni, Si Yong Yeo, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral Paper, PREMIA Best Student Papers)

Uncertainty Modeling for Out-of-Distribution Generalization

Xiaotong Li, Yongxing Dai, Yixiao Ge, Jun Liu, Ying Shan, Ling-Yu Duan

International Conference on Learning Representations (ICLR), 2022.

REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos

Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu

AAAI Conference on Artificial Intelligence (AAAI), 2022.

Disentangled Feature Learning Network and a Comprehensive Benchmark for Vehicle Re-Identification

Yan Bai, Jun Liu, Yihang Lou, Ce Wang, Ling-Yu Duan

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

Point Cloud Completion Via Skeleton-Detail Transformer

Wenxiao Zhang, Huajian Zhou, Zhen Dong, Jun Liu, Qingan Yan, Chunxia Xiao

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022.

Motion Adaptive Pose Estimation from Compressed Videos

Zhipeng Fan, Jun Liu, Yao Wang

IEEE International Conference on Computer Vision (ICCV), 2021.

A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder

Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, et al.

IEEE International Conference on Computer Vision (ICCV), 2021.

Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning

Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot

IEEE International Conference on Computer Vision (ICCV), 2021.

Else-Net: Elastic Semantic Network for Action Recognition from Skeleton Data

Tianjiao Li, Qiuhong Ke, Hossein Rahmani, Rui En Ho, Henghui Ding, Jun Liu

IEEE International Conference on Computer Vision (ICCV), 2021.

IDM: Intermediate Domain Module for Domain Adaptive Person Re-ID

Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Lingyu Duan

IEEE International Conference on Computer Vision (ICCV), 2021. (Oral Paper)

Interaction via Bi-directional Graph of Semantic Region Affinity for Scene Parsing

Henghui Ding, Hui Zhang, Jun Liu, Jiaxin Li, Zijian Feng, Xudong Jiang

IEEE International Conference on Computer Vision (ICCV), 2021.

SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events

Li Xu, Mark He Huang, Jun Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Interventional Video Grounding with Dual Contrastive Learning

Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, Zhiheng Li

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Person30K: A Dual-Meta Generalization Network for Person Re-Identification

Yan Bai, Jile Jiao, Ce Wang, Jun Liu, Yihang Lou, Xuetao Feng, Lingyu Duan

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Generalizable Person Re-identification with Relevance-aware Mixture of Experts

Yongxing Dai, Xiaotong Li, Jun Liu, Zekun Tong, Lingyu Duan

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Robust Face Alignment by Multi-order High-precision Hourglass Networks

Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao

IEEE Transactions on Image Processing (TIP), 2021.

Hierarchical Connectivity-Centered Clustering for Unsupervised Domain Adaptation on Person Re-Identification

Yan Bai, Ce Wang, Yihang Lou, Jun Liu, Lingyu Duan

IEEE Transactions on Image Processing (TIP), 2021.

Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation

Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu

IEEE Transactions on Image Processing (TIP), 2021.

PoT-GAN: Pose Transform GAN for Person Image Synthesis

Tianjiao Li, Wei Zhang, Ran Song, Zhiheng Li, Jun Liu, Xiaolei Li, and Shijian Lu

IEEE Transactions on Image Processing (TIP), 2021.

Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification

Yongxing Dai, Jun Liu, Yan Bai, Zekun Tong, Lingyu Duan

IEEE Transactions on Image Processing (TIP), 2021.

HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction

Tianjiao Li, Jun Liu, Wei Zhang, Lingyu Duan

European Conference on Computer Vision (ECCV), 2020.

Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation

Zhipeng Fan, Jun Liu, Yao Wang

European Conference on Computer Vision (ECCV), 2020. (Spotlight Paper)

Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis

Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot

European Conference on Computer Vision (ECCV), 2020. (Spotlight Paper)

Learning Progressive Joint Propagation for Human Motion Prediction

Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, et al.

European Conference on Computer Vision (ECCV), 2020.

Disentangled Feature Learning Network for Vehicle Re-Identification

Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Lingyu Duan

International Joint Conference on Artificial Intelligence (IJCAI), 2020.

Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation

Xiaohong Wang, Xudong Jiang, Henghui Ding, Jun Liu

IEEE Transactions on Image Processing (TIP), 2020.

VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild

Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Ling-Yu Duan

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks

Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, Nadia Magnenat Thalmann

IEEE International Conference on Computer Vision (ICCV), 2019.

Feature Boosting Network for 3D Pose Estimation

Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

Skeleton-Based Online Action Prediction Using Scale Selection Network

Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. (PREMIA Best Student Paper Silver Award)

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, and Alex C. Kot

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

Embedding Adversarial Learning for Vehicle Re-Identification

Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Ling-Yu Duan

IEEE Transactions on Image Processing (TIP), 2019.

SSNet: Scale selection network for online 3D action prediction

Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (Spotlight Paper)

Global context-aware attention LSTM networks for 3D action recognition

Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Deep level sets for salient object detection

Ping Hu, Bing Shuai, Jun Liu, Gang Wang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates

Jun Liu, Amir Shahroudy, Dong Xu, Alex C. Kot, Gang Wang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.

Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks

Jun Liu, Gang Wang, Ling-Yu Duan, Kamila Abdiyeva, Alex C. Kot

IEEE Transactions on Image Processing (TIP), 2017.

Spatio-temporal LSTM with trust gates for 3D human action recognition

Jun Liu, Amir Shahroudy, Dong Xu, Gang Wang

European Conference on Computer Vision (ECCV), 2016. (PREMIA Best Student Paper Silver Award)

NTU RGB+D: A large scale dataset for 3D human activity analysis

Amir Shahroudy, Jun Liu, Tian-Tsong Ng, Gang Wang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.