赫然｜中国科学院大学｜学者主页

2026

智能驾驶大模型

胡建芳，黄林江，翟伟，闫瑞松，李成林，郑伟诗，赫然，查正军，熊红凯

《中国图象图形学报》

2026

Advancing Vision Transformer With Enhanced Spatial Priors

Qihang Fan, Huai-Bo Huang, Ming-Rui Chen, Hongmin Liu, Ran He

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2026

Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion

Lijiang Li, Zuwei Long, Yun-Hang Shen, Heting Gao, Hao-Yu Cao, Xing Sun, Caifeng Shan, Ran He, Chao-You Fu

arXiv.org

DOI

2026

Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding

Chaoyou Fu, Hao Yuan, Yuhao Dong, Yi-Fan Zhang, Yun-Hang Shen, Xiao-Xing Hu, Xueying Li, Jin-Sen Su, Chengwu Long, Xiaoyao Xie, Yong Xie, Xia-Wu Zheng, Xuejiao Yang, Hao-Yu Cao, Yun-Sheng Wu, Ziwei Liu, Xing Sun, Caifeng Shan, Ran He

arXiv.org

DOI

2026

SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation

Ruohan Liu, Shu-Kang Yin, Tao Wang, Dong Zhang, Wei-Ji Zhuang, Shuhuai Ren, Ran He, Caifeng Shan, Chao-You Fu

arXiv.org

DOI

2026

OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains

X. Cai, Chao-You Fu, Yi-Fan Zhang, Ran He, Caifeng Shan

arXiv.org

DOI

2026

VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video Understanding

Ruoli Yang, Chu Wu, Caifeng Shan, Ran He, Chao-You Fu

arXiv.org

DOI

2026

MVPBench: A Multi-Video Perception Evaluation Benchmark for Multi-Modal Video Understanding

Purui Bai, Tao Wu, Jia-Yang Sun, Xinyue Liu, Huai-Bo Huang, Ran He

arXiv.org

DOI

2026

FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM Serving

Qihang Fan, Huai-Bo Huang, Zhiying Wu, Bingning Wang, Ran He

2026

Think 360{\deg}: Evaluating the Width-centric Reasoning Capability of MLLMs Beyond Depth

Ming-Rui Chen, He-Xiong Yang, Haogeng Liu, Huai-Bo Huang, Ran He

2026

HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents

Chaomin Jin, Wen-Kui Yang, Hao Sun, Yuqiao Liao, Qi Jiang, Kaiwen Zhou, Jie Cao, Ran He, Huai-Bo Huang

arXiv.org

DOI

2026

UniPrefill: Universal Long-Context Prefill Acceleration via Block-wise Dynamic Sparsification

Qihang Fan, Huai-Bo Huang, Zhiying Wu, Bingning Wang, Ran He

arXiv.org

DOI

2026

From Suppression to Repair: Mitigating Object Hallucination in Large Vision-Language Models via Localized Distribution Alignment

Chen Zhao, Xing-Ping Dong, Jia-Chun Shi, Liang Peng, Chong-Shang Wang, Zheng-Wu Lei, Ran He, Bo Du

2026

TIP: Token Importance in On-Policy Distillation

Yuanda Xu, He-Jian Sang, Zheng-Ze Zhou, Ran He, Zhipeng Wang, A. Geramifard

arXiv.org

DOI

2026

Random Wins All: Rethinking Grouping Strategies for Vision Tokens

Qi-Hang Fan, Yuang Ai, Huai-Bo Huang, Ran He

arXiv.org

DOI

2026

FlashPrefill: Instantaneous Pattern Discovery and Thresholding for Ultra-Fast Long-Context Prefilling

Qihang Fan, Huai-Bo Huang, Zhiying Wu, Ju-Qiu Wang, Bingning Wang, Ran He

arXiv.org

DOI

2026

AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks?

Dong Yan, Jian Liang, Dapeng Hu, Ran He, Nicholas Jing Yuan, Qi Zhang, Tie-Niu Tan

2026

Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation

Zheng-Bo Wang, Jian Liang, Ran He, Zi-Lei Wang, Tie-Niu Tan

arXiv.org

DOI

2026

Learning Fair Domain Adaptation with Virtual Label Distribution

Yuguang Zhang, Lijun Sheng, Jian Liang, Ran He

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2026

On the Vulnerability of Parameter-Level Defenses to Model Merging

Kuangpu Guo, Qingyan Zheng, Jian Liang, Yongcan Yu, Zilei Wang, Ran He, Tieniu Tan

Lecture notes in computer science

DOI

2026

Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs

Dong Yan, Jian Liang, Ran He, Tie-Niu Tan

arXiv.org

DOI

2026

To Adapt or Not to Adapt? Selective Adaptation for Vision-Language Models

Siru Jiang, Yuwei Liang, Jian Liang, Ran He, Tieniu Tan

Lecture notes in computer science

DOI

2026

What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time

Dong Yan, Jian Liang, Yanbo Wang, Shuo Lu, Ran He, Tieniu Tan

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2026

USE: A Unified Self-Ensembling Framework for Test-Time Prompt Tuning

Si-Ru Jiang, Jian Liang, Ran He, Tie-Niu Tan

arXiv.org

DOI

2026

Do MLLMs Really Understand Space? A Mathematical Reasoning Evaluation

Shuo Lu, Jianjie Cheng, Yi-Nuo Xu, Yong-Can Yu, Lijun Sheng, Peijie Wang, Si-Ru Jiang, Yong Hu, Run Ling, Yihua Shao, Ao Ma, Wei Feng, Ling-Xiao He, Meng Wang, Qianlong Xie, Xing-Xing Wang, Nicu Sebe, Ran He, Jian Liang

arXiv.org

DOI

2026

Stay Unique, Stay Efficient: Preserving Model Personality in Multi-task Merging

Kuangpu Guo, Aijing Yu, Jian Liang, Yuhe Ding, Zilei Wang, Ran He, Tieniu Tan

Lecture notes in computer science

DOI

2026

Editorial for Special Issue on Security and Ethics of Generative Artificial Intelligence

Jing Dong, Matteo Ferrara, Ran He, Dacheng Tao, Philip H. S. Torr, Rama Chellappa

Machine Intelligence Research

DOI

2026

Uncertainty-Aware Source-Free Adaptive Image Restoration with State Space Augmentation

Yuang Ai, Jie Cao, Ran He, Huaibo Huang

International Journal of Computer Vision

DOI

2026

Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection

Yingsheng Wang, Shuo Lu, Jian Liang, Aihua Zheng, Ran He

Lecture notes in computer science

DOI

2025

大模型时代下生成式可视媒体的机遇与挑战——第二十三期CCF秀湖会议报告

杨鑫，王贝贝，过洁，夏佳志，王莉莉，吕琳，刘利斌，陈雪锦，高林，赫然，徐凯，周昆

《计算》

2025

生成式可视媒体鉴别与安全

段俊贤，刘思雨，关霁洋，曹杰，赫然

《中国科学:信息科学》

2025

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

Chaoyou Fu, Haojia Lin, Xiong Wang, Yi-Fan Zhang, Yun-Hang Shen, Xiaoyu Liu, Hao-Yu Cao, Zuwei Long, Heting Gao, Ke Li, Long Ma, Xia-Wu Zheng, Rong-Rong Ji, Xing Sun, Caifeng Shan, Ran He

Neural Information Processing Systems

DOI

2025

VITA-E: Natural Embodied Interaction with Concurrent Seeing, Hearing, Speaking, and Acting

Xiaoyu Liu, Chaoyou Fu, Chi Yan, Chu Wu, Haihan Gao, Yi-Fan Zhang, Shao-Qi Dong, Chen Qian, Bin Luo, Xiuyong Yang, Guanwu Li, Yusheng Cai, Yun-Hang Shen, Deqiang Jiang, Hao-Yu Cao, Xing Sun, Caifeng Shan, Ran He

arXiv.org

DOI

2025

VITA-VLA: Efficiently Teaching Vision-Language Models to Act via Action Expert Distillation

Shao-Qi Dong, Chaoyou Fu, Haihan Gao, Yi-Fan Zhang, Chi Yan, Chu Wu, Xiaoyu Liu, Yun-Hang Shen, Jing Huo, Deqiang Jiang, Hao-Yu Cao, Yang Gao, Xing Sun, Ran He, Caifeng Shan

arXiv.org

DOI

2025

Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy

Yun-Hang Shen, Chaoyou Fu, Shao-Qi Dong, Xiong Wang, Yi-Fan Zhang, Peixian Chen, Mengdan Zhang, Hao-Yu Cao, Ke Li, Shao-Hui Lin, Xia-Wu Zheng, Yan Zhang, Yi-Yi Zhou, Ran He, Caifeng Shan, Rong-Rong Ji, Xing Sun

arXiv.org

DOI

2025

NOFT: Test-Time Noise Finetune via Information Bottleneck for Highly Correlated Asset Creation

Jia Li, Nan Gao, Huai-Bo Huang, Ran He

arXiv.org

DOI

2025

DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling

Yuang Ai, Qihang Fan, Xuefeng Hu, Zhenheng Yang, Ran He, Huai-Bo Huang

Neural Information Processing Systems

DOI

2025

Expand and Prune: Maximizing Trajectory Diversity for Effective GRPO in Generative Models

Shi-Ran Ge, Chen-Yi Huang, Yuang Ai, Qihang Fan, Huai-Bo Huang, Ran He

arXiv.org

DOI

2025

Rectifying Magnitude Neglect in Linear Attention

Qihang Fan, Huai-Bo Huang, Yuang Ai, Ran He

IEEE International Conference on Computer Vision

DOI

2025

Unlocking the Potential of Difficulty Prior in RL-based Multimodal Reasoning

Ming-Rui Chen, Haogeng Liu, Hao Liang, Huai-Bo Huang, Wentao Zhang, Ran He

arXiv.org

DOI

2025

Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?

Yan-Bo Wang, Jiyang Guan, Jian Liang, Ran He

Computer Vision and Pattern Recognition

DOI

2025

R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning

Lijun Sheng, Jian Liang, Zi-Lei Wang, Ran He

Computer Vision and Pattern Recognition

DOI

2025

The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models

Lijun Sheng, Jian Liang, Ran He, Zi-Lei Wang, Tie-Niu Tan

Neural Information Processing Systems

DOI

2025

Adapting Vision-Language Models Without Labels: A Comprehensive Survey

Hao Dong, Lijun Sheng, Jian Liang, Ran He, Eleni Chatzi, Olga Fink

International Journal of Computer Vision

DOI

2025

Cooperative Pseudo Labeling for Unsupervised Federated Classification

Kuang-Pu Guo, Lijun Sheng, Yong-Can Yu, Jian Liang, Zi-Lei Wang, Ran He

IEEE International Conference on Computer Vision

DOI

2025

VeriChain: Reinforced Document Image Forgery Verification via Self-revealing Reasoning Chain

Hao Sun, Yanbo Wang, Junxian Duan, Ran He

Lecture notes in computer science

DOI

2025

Improving Object Detection Models via LLM-Based Training Data Synthesis

Shi-Ran Ge, Jie Cao, Ran He

International Journal of Computer Vision

DOI

2025

Adaptive Interaction and Correction Attention Network for Audio-Visual Matching

Jiaxiang Wang, Aihua Zheng, Lei Liu, Chenglong Li, Ran He, Jin Tang

IEEE Transactions on Information Forensics and Security

DOI

2024

Protecting Model Adaptation from Trojans in the Unlabeled Data

Lijun Sheng, Jian Liang, Ran He, Zi-Lei Wang, Tie-Niu Tan

AAAI Conference on Artificial Intelligence

DOI

2024

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs

Chaoyou Fu, Yi-Fan Zhang, Shu-Kang Yin, Bo Li, Xinyu Fang, Si-Rui Zhao, Haodong Duan, Xing Sun, Ziwei Liu, Liang Wang, Caifeng Shan, Ran He

arXiv.org

DOI

2024

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Chaoyou Fu, Yuhan Dai, Yong-Dong Luo, Lei Li, Shuhuai Ren, Ren-Rui Zhang, Zihan Wang, Chenyu Zhou, Yun-Hang Shen, Mengdan Zhang, Peixian Chen, Yan-Wei Li, Shao-Hui Lin, Si-Rui Zhao, Ke Li, Tong Xu, Xia-Wu Zheng, En-Hong Chen, Caifeng Shan, Ran He, Xing Sun

Computer Vision and Pattern Recognition

DOI

2024

T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMs

Shu-Kang Yin, Chaoyou Fu, Si-Rui Zhao, Yun-Hang Shen, Chunjiang Ge, Yan Yang, Zuwei Long, Yuhan Dai, Tong Xu, Xing Sun, Ran He, Caifeng Shan, En-Hong Chen

arXiv.org

DOI

2024

VITA: Towards Open-Source Interactive Omni Multimodal LLM

Chaoyou Fu, Haojia Lin, Zuwei Long, Yun-Hang Shen, Yu-Hang Dai, Meng Zhao, Yi-Fan Zhang, Shao-Qi Dong, Yang-Ze Li, Xiong Wang, Hao-Yu Cao, Di Yin, Long Ma, Xia-Wu Zheng, Rong-Rong Ji, Yun-Sheng Wu, Ran He, Caifeng Shan, Xing Sun

arXiv.org

DOI

2024

ViTAR: Vision Transformer with Any Resolution

Qihang Fan, Quanzeng You, Xiao-Tian Han, Yongfei Liu, Yun-Zhe Tao, Huai-Bo Huang, Ran He, Hong-Xia Yang

arXiv.org

DOI

2024

InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding

Haogeng Liu, Quanzeng You, Xiao-Tian Han, Yi-Qin Wang, Bo-Han Zhai, Yongfei Liu, Yun-Zhe Tao, Huai-Bo Huang, Ran He, Hong-Xia Yang

arXiv.org

DOI

2024

Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens

Qihang Fan, Huai-Bo Huang, Ming-Rui Chen, Ran He

IEEE International Conference on Computer Vision

DOI

2024

Breaking the Low-Rank Dilemma of Linear Attention

Qihang Fan, Huai-Bo Huang, Ran He

Computer Vision and Pattern Recognition

DOI

2024

InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model

Haogeng Liu, Quanzeng You, Yi-Qin Wang, Xiao-Tian Han, Bo-Han Zhai, Yongfei Liu, Wen-Tao Chen, Yiren Jian, Yun-Zhe Tao, Jianbo Yuan, Ran He, Hong-Xia Yang

Annual Meeting of the Association for Computational Linguistics

DOI

2024

InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning

Xiao-Tian Han, Yiren Jian, Xuefeng Hu, Haogeng Liu, Yi-Qin Wang, Qihang Fan, Yuang Ai, Huai-Bo Huang, Ran He, Zhenheng Yang, Quanzeng You

Conference on Empirical Methods in Natural Language Processing

DOI

2024

Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model

Haogeng Liu, Quanzeng You, Xiao-Tian Han, Yongfei Liu, Huai-Bo Huang, Ran He, Hong-Xia Yang

Neural Information Processing Systems

DOI

2024

Vision Transformer with Sparse Scan Prior

Qihang Fan, Huai-Bo Huang, Ming-Rui Chen, Ran He

ACM Multimedia

DOI

2024

Prototypical Distillation and Debiased Tuning for Black-box Unsupervised Domain Adaptation

Jian Liang, Lijun Sheng, Hongmin Liu, Ran He

arXiv.org

DOI

2024

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization

Jian Liang, Lijun Sheng, Zheng-Bo Wang, Ran He, Tie-Niu Tan

International Conference on Machine Learning

2024

A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Zheng-Bo Wang, Jian Liang, Lijun Sheng, Ran He, Zi-Lei Wang, Tie-Niu Tan

International Conference on Learning Representations

DOI

2024

Towards Compatible Fine-tuning for Vision-Language Model Updates

Zheng-Bo Wang, Jian Liang, Lijun Sheng, Ran He, Zi-Lei Wang, Tie-Niu Tan

arXiv.org

DOI

2024

Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning

Kuang-Pu Guo, Yuhe Ding, Jian Liang, Ran He, Zi-Lei Wang, Tie-Niu Tan

arXiv.org

DOI

2024

RISTRA: Recursive Image Super-Resolution Transformer With Relativistic Assessment

Xiaoqiang Zhou, Huai-Bo Huang, Zi-Lei Wang, Ran He

IEEE transactions on multimedia

DOI

2024

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

Zheng-Bo Wang, Jian Liang, Ran He, Zi-Lei Wang, Tie-Niu Tan

International Conference on Learning Representations

DOI

2024

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay

Yongcan Yu, Lijun Sheng, Ran He, Jian Liang

Lecture notes in computer science

DOI

2024

Test-time Forgery Detection with Spatial-Frequency Prompt Learning

Junxian Duan, Yuang Ai, Jipeng Liu, Shenyuan Huang, Huaibo Huang, Jie Cao, Ran He

International Journal of Computer Vision

DOI

2024

A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts

Jian Liang, Ran He, Tieniu Tan

International Journal of Computer Vision

DOI

2024

Dynamic Graph Memory Bank for Video Inpainting

Xiaoqiang Zhou, Chaoyou Fu, Huaibo Huang, Ran He

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2024

Attribute-Guided Cross-Modal Interaction and Enhancement for Audio-Visual Matching

Jiaxiang Wang, Aihua Zheng, Yan Yan, Ran He, Jin Tang

IEEE Transactions on Information Forensics and Security

DOI

2023

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Chaoyou Fu, Peixian Chen, Yun-Hang Shen, Yu-Lei Qin, Mengdan Zhang, Xu Lin, Jinrui Yang, Xia-Wu Zheng, Ke Li, Xing Sun, Yun-Sheng Wu, Rong-Rong Ji, Caifeng Shan, Ran He

Neural Information Processing Systems

DOI

2023

Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling

Haogeng Liu, Qihang Fan, Ting-Kai Liu, Linjie Yang, Yun-Zhe Tao, Huai-Bo Huang, Ran He, Hong-Xia Yang

arXiv.org

DOI

2023

RMT: Retentive Networks Meet Vision Transformers

Qihang Fan, Huai-Bo Huang, Ming-Rui Chen, Hongmin Liu, Ran He

Computer Vision and Pattern Recognition

DOI

2023

SOSR: Source-Free Image Super-Resolution with Wavelet Augmentation Transformer

Yuang Ai, Xiaoqiang Zhou, Huai-Bo Huang, Lei Zhang, Ran He

arXiv.org

DOI

2023

DeVAn: Dense Video Annotation for Video-Language Models

Ting-Kai Liu, Yun-Zhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huai-Bo Huang, Ran He, Hong-Xia Yang

Annual Meeting of the Association for Computational Linguistics

DOI

2023

TALL: Thumbnail Layout for Deepfake Video Detection

Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He

IEEE/CVF International Conference on Computer Vision (ICCV)

DOI

2023

ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation

Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He

Neural Networks

DOI

2023

Mind the Label Shift of Augmentation-based Graph OOD Generalization

Junchi Yu, Jian Liang, Ran He

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2023

Masked Relation Learning for DeepFake Detection

Ziming Yang, Jian Liang, Yuting Xu, Xiaoyu Zhang, Ran He

IEEE Transactions on Information Forensics and Security

DOI

2023

Confidence-Calibrated Face Image Forgery Detection with Contrastive Representation Distillation

Puning Yang, Huaibo Huang, Zhiyong Wang, Aijing Yu, Ran He

Lecture notes in computer science

DOI

2022

Memory Uncertainty Learning for Real-World Single Image Deraining

Huaibo Huang, Mandi Luo, Ran He

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2022

Towards Lightweight Pixel-Wise Hallucination for Heterogeneous Face Recognition

Chaoyou Fu, Xiaoqiang Zhou, Weizan He, Ran He

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2022

Iterative embedding distillation for open world vehicle recognition

Junxian Duan, Xiang Wu, Yibo Hu, Chaoyou Fu, Zi Wang, Ran He

Pattern Recognition

DOI

2022

Order-aware Human Interaction Manipulation

Mandi Luo, Jie Cao, Ran He

ACM International Conference on Multimedia (ACM MM)

DOI

2022

Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis

Linsen Song, Wayne Wu, Chaoyou Fu, Chen Change Loy, Ran He

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2022

Fine-Grained Cross-Modal Retrieval with Triple-Streamed Memory Fusion Transformer Encoder

Weikuo Guo, Huaibo Huang, Xiangwei Kong, Ran He

IEEE International Conference on Multimedia and Expo (ICME)

DOI

2022

Improving Subgraph Recognition with Variational Graph Information Bottleneck

Junchi Yu, Jie Cao, Ran He

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2022

Few-shot Backdoor Defense Using Shapley Estimation

Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2022

Rethinking Image Cropping: Exploring Diverse Compositions from Global Views

Gengyun Jia, Huaibo Huang, Chaoyou Fu, Ran He

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2022

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs

Gengyun Jia, Peipei Li, Ran He

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Memory-Modulated Transformer Network for Heterogeneous Face Recognition

Mandi Luo, Haoxue Wu, Huaibo Huang, Weizan He, Ran He

IEEE Transactions on Information Forensics and Security

DOI

2021

Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model

Yafeng Zhan, Jianze Wei, Jian Liang, Xiu Xu, Ran He, Trevor W. Robbins, Zheng Wang

American Journal Of Psychiatry，Vol. 178, No. 1

DOI

2021

生物特征识别学科发展报告

孙哲南，赫然，王亮，阚美娜，冯建江，郑方，郑伟诗，左旺孟，康文雄，邓伟洪，张杰，韩琥，山世光，王云龙，茹一伟，朱宇豪，刘云帆，何勇

《中国图象图形学报》

2021

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification

Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He

IEEE/CVF International Conference on Computer Vision (ICCV)

DOI

2021

Deep momentum uncertainty hashing

Chaoyou Fu, Guoli Wang, Xiang Wu, Qian Zhang, Ran He

Pattern Recognition

DOI

2021

Visual-Semantic Transformer for Face Forgery Detection

Yuting Xu, Gengyun Jia, Huaibo Huang, Junxian Duan, Ran He

IEEE International Joint Conference on Biometrics (IJCB)

DOI

2021

Self-Augmented Heterogeneous Face Recognition

Zongcai Sun, Chaoyou Fu, Mandi Luo, Ran He

IEEE International Joint Conference on Biometrics (IJCB)

DOI

2021

Contrastive Uncertainty Learning for Iris Recognition with Insufficient Labeled Samples

Jianze Wei, Ran He, Zhenan Sun

IEEE International Joint Conference on Biometrics (IJCB)

DOI

2021

Inconsistency-Aware Wavelet Dual-Branch Network for Face Forgery Detection

Gengyun Jia, Meisong Zheng, Chuanrui Hu, Xin Ma, Yuting Xu, Luoqi Liu, Yafeng Deng, Ran He

IEEE Transactions on Biometrics Behavior and Identity Science

DOI

2021

Information Bottleneck Disentanglement for Identity Swapping

Gege Gao, Huaibo Huang, Chaoyou Fu, Zhaoyang Li, Ran He

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2021

Memory Oriented Transfer Learning for Semi-Supervised Image Deraining

Huaibo Huang, Aijing Yu, Ran He

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2021

FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains

Jia Li, Zhaoyang Li, Jie Cao, Xingguang Song, Ran He

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2021

Pareidolia Face Reenactment

Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2021

Deep Audio-visual Learning: A Survey

Hao Zhu, Mandi Luo, Rui Wang, Aihua Zheng, Ran He

Machine Intelligence Research

DOI

2021

Selective Wavelet Attention Learning for Single Image Deraining

Huaibo Huang, Aijing Yu, Zhenhua Chai, Ran He, Tieniu Tan

International Journal of Computer Vision

DOI

2021

Image Inpainting with Contrastive Relation Network

Xiaoqiang Zhou, Junjie Li, Zilei Wang, Ran He, Tieniu Tan

Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition

DOI

2021

Exemplar Guided Cross-Spectral Face Hallucination via Mutual Information Disentanglement

Haoxue Wu, Huaibo Huang, Aijing Yu, Jie Cao, Zhen Lei, Ran He

Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition

DOI

2021

Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion

Yuhe Ding, Xin Ma, Mandi Luo, Aihua Zheng, Ran He

Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition

DOI

2021

AutoDet: Pyramid Network Architecture Search for Object Detection

Zhihang Li, Teng Xi, Gang Zhang, Jingtuo Liu, Ran He

International Journal of Computer Vision

DOI

2021

FA-GAN: Face Augmentation GAN for Deformation-Invariant Face Recognition

Mandi Luo, Jie Cao, Xin Ma, Xiaoyu Zhang, Ran He

IEEE Transactions on Information Forensics and Security

DOI

2021

High-Fidelity Face Manipulation With Extreme Poses and Expressions

Chaoyou Fu, Yibo Hu, Xiang Wu, Guoli Wang, Qian Zhang, Ran He

IEEE Transactions on Information Forensics and Security

DOI

2021

Partial NIR-VIS Heterogeneous Face Recognition With Automatic Saliency Search

Mandi Luo, Xin Ma, Zhihang Li, Jie Cao, Ran He

IEEE Transactions on Information Forensics and Security

DOI

2020

视听觉深度伪造检测技术研究综述

梁瑞刚，吕培卓，赵月，陈鹏，邢豪，张颖君，韩冀中，赫然，赵险峰，李明，陈恺

《信息安全学报》

DOI

2020

Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning

Hao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He

International Joint Conference on Artificial Intelligence

DOI

2020

Dual-Structure Disentangling Variational Generation for Data-Limited Face Parsing

Peipei Li, Yinglu Liu, Hailin Shi, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun

ACM International Conference on Multimedia (ACM MM)

DOI

2020

Coupled adversarial learning for semi-supervised heterogeneous face recognition

Ran He, Yi Li, Xiang Wu, Lingxiao Song, Zhenhua Chai, Xiaolin Wei

Pattern Recognition

DOI

2020

PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer

Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2020

Cross-Spectral Face Hallucination via Disentangling Independent Factors

Boyan Duan, Chaoyou Fu, Yi Li, Xingguang Song, Ran He

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2020

A General Framework for Deep Supervised Discrete Hashing

Qi Li, Zhenan Sun, Ran He, Tieniu Tan

International Journal of Computer Vision

DOI

2020

A Survey of Deep Facial Attribute Analysis

Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He

International Journal of Computer Vision

DOI

2020

Learning an Evolutionary Embedding via Massive Knowledge Distillation

Xiang Wu, Ran He, Yibo Hu, Zhenan Sun

International Journal of Computer Vision

DOI

2020

MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation

Kaisiyuan Wang, Qianyi Wu, Linsen Song, Zhuoqian Yang, Wayne Wu, Chen Qian, Ran He, Yu Qiao, Chen Change Loy

Lecture notes in computer science

DOI

2020

Hierarchical Face Aging Through Disentangled Latent Characteristics

Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun

Lecture notes in computer science

DOI

2020

Informative Sample Mining Network for Multi-domain Image-to-Image Translation

Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun

Lecture notes in computer science

DOI

2019

Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition

Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2019

Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation

Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang

International Joint Conference on Artificial Intelligence

DOI

2019

Pose-preserving Cross Spectral Face Hallucination

Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He

International Joint Conference on Artificial Intelligence

DOI

2019

Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing

Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He

International Joint Conference on Artificial Intelligence

DOI

2019

ScleraSegNet: An Attention Assisted U-Net Model for Accurate Sclera Segmentation

Caiyong Wang, Yunlong Wang, Yunfan Liu, Zhaofeng He, Ran He, Zhenan Sun

IEEE Transactions on Biometrics Behavior and Identity Science

DOI

2019

Deep label refinement for age estimation

Peipei Li, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun

Pattern Recognition

DOI

2019

Disentangled Representation Learning of Makeup Portraits in the Wild

Yi Li, Huaibo Huang, Jie Cao, Ran He, Tieniu Tan

International Journal of Computer Vision

DOI

2019

BLAN: Bi-directional ladder attentive network for facial attribute prediction

Xin Zheng, Huaibo Huang, Yanqing Guo, Bo Wang, Ran He

Pattern Recognition

DOI

2019

Learning Disentangled Representation for Cross-Modal Retrieval with Deep Mutual Information Estimation

Weikuo Guo, Huaibo Huang, Xiangwei Kong, Ran He

ACM International Conference on Multimedia (ACM MM)

DOI

2019

Towards High Fidelity Face Frontalization in the Wild

Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun

International Journal of Computer Vision

DOI

2019

Learning disentangling and fusing networks for face completion under structured occlusions

Zhihang Li, Yibo Hu, Ran He, Zhenan Sun

Pattern Recognition

DOI

2019

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis

Peipei Li, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun

IEEE/CVF International Conference on Computer Vision (ICCV)

DOI

2019

Progressively Refined Face Detection Through Semantics-Enriched Representation Learning

Zhihang Li, Xu Tang, Xiang Wu, Jingtuo Liu, Ran He

IEEE Transactions on Information Forensics and Security

DOI

2019

Cross-sensor iris recognition using adversarial strategy and sensor-specific information

Jianze Wei, Yunlong Wang, Xiang Wu, Zhaofeng He, Ran He, Zhenan Sun

IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)

DOI

2019

Exploring uncertainty in pseudo-label guided unsupervised domain adaptation

Jian Liang, Ran He, Zhenan Sun, Tieniu Tan

Pattern Recognition

DOI

2019

Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation

Jian Liang, Ran He, Zhenan Sun, Tieniu Tan

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2019

ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation

Caiyong Wang, Yong Min He, Yunfan Liu, Zhaofeng He, Ran He, Zhenan Sun

International Conference on Biometrics

DOI

2019

Global and Local Consistent Wavelet-Domain Age Synthesis

Peipei Li, Yibo Hu, Ran He, Zhenan Sun

IEEE Transactions on Information Forensics and Security

DOI

2019

Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination

Huaibo Huang, Ran He, Zhenan Sun, Tieniu Tan

International Journal of Computer Vision

DOI

2019

Learning a bi-level adversarial network with global and local perception for makeup-invariant face verification

Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan

Pattern Recognition

DOI

2019

3D Aided Duet GANs for Multi-View Face Image Synthesis

Jie Cao, Yibo Hu, Bing Yu, Ran He, Zhenan Sun

IEEE Transactions on Information Forensics and Security

DOI

2019

Recurrent Prediction with Spatio-temporal Attention for Crowd Attribute Recognition

Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2019

X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding

Weikuo Guo, Jian Liang, Xiangwei Kong, Lingxiao Song, Ran He

Lecture notes in computer science

DOI

2018

Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition

Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2018

Geometry Guided Adversarial Facial Expression Synthesis

Lingxiao Song, Zhihe Lu, Ran He, Zhenan Sun, Tieniu Tan

ACM International Conference on Multimedia (ACM MM)

DOI

2018

Adversarial Occlusion-aware Face Detection

Yujia Chen, Lingxiao Song, Yibo Hu, Ran He

IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)

DOI

2018

Adversarial Embedding and Variational Aggregation for Video Face Recognition

Yibo Hu, Lingxiao Song, Bing Yu, Ran He, Zhenan Sun

IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)

DOI

2018

Global and Local Consistent Age Generative Adversarial Networks

Peipei Li, Yibo Hu, Qi Li, Ran He, Zhenan Sun

Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition

DOI

2018

Learning Discriminative Geodesic Flow Kernel for Unsupervised Domain Adaptation

Jianze Wei, Jian Liang, Ran He, Jinfeng Yang

IEEE International Conference on Multimedia and Expo (ICME)

DOI

2018

Pose-Guided Photorealistic Face Rotation

Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2018

Protecting Your Faces: MeshFaces Generation and Removal via High-Order Relation-Preserving CycleGAN

Zhihang Li, Yibo Hu, Man Zhang, Min Gang Xu, Ran He

International Conference on Biometrics

DOI

2017

Recent Progress of Face Image Synthesis

Zhihe Lu, Zhihang Li, Jie Cao, Ran He, Zhenan Sun

IAPR Asian Conference on Pattern Recognition (ACPR)

DOI

2017

Attention-Set Based Metric Learning for Video Face Recognition

Yibo Hu, Xiang Wu, Ran He

IAPR Asian Conference on Pattern Recognition (ACPR)

DOI

2017

Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis

Rui Huang, Shu Zhang, Tianyu Li, Ran He

IEEE International Conference on Computer Vision (ICCV)

DOI

2017

Unsupervised feature selection with ordinal locality

Jun Feng Guo, Yanqing Guo, Xiangwei Kong, Ran He

IEEE International Conference on Multimedia and Expo (ICME)

DOI

2017

Automatic image cropping with aesthetic map and gradient energy map

Yueying Kao, Ran He, Kaiqi Huang

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2017

Learning structured ordinal measures for video based face recognition

Ran He, Tieniu Tan, Larry Steven Davis, Zhenan Sun

Pattern Recognition

DOI

2017

Deep Aesthetic Quality Assessment With Semantic Information

Yueying Kao, Ran He, Kaiqi Huang

IEEE Transactions on Image Processing

DOI

2016

Frustratingly Easy Cross-Modal Hashing

Dekui Ma, Jian Liang, Xiangwei Kong, Ran He

ACM International Conference on Multimedia (ACM MM)

DOI

2016

Multi-task ConvNet for blind face inpainting with application to face verification

Shu Zhang, Ran He, Zhenan Sun, Tieniu Tan

International Conference on Biometrics

DOI

2016

Recent Advances on Cross-Domain Face Recognition

Xixiang Liu, Xiaobo Sun, Ran He, Tieniu Tan

Lecture notes in computer science

DOI

2012

分类间题中基于信息论度量的客观评价研究(英文)

胡包钢，赫然，哀晓彤

《自动化学报》

2005

一种改进的自适应逃逸微粒群算法及实验分析

赫然，王永吉，王青，周津慧，胡陈勇

《软件学报》

2005

一种改进的最优保存遗传算法

王秀坤，赫然，张晓峰

《小型微型计算机系统》

Principal Afﬁnity based Cross-Modal Retrieval

Jian Liang, Dong Cao, Ran He, Zhe-Nan Sun, Tie-Niu Tan

Discrete Cross-Modal Hashing for Efﬁcient Multimedia Retrieval

De-Kui Ma, Jian Liang, Xiang-Wei Kong, Ran He, Ying Li

精选作品

期刊论文

智能驾驶大模型

Advancing Vision Transformer With Enhanced Spatial Priors

Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion

Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding

SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation

OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains

VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video Understanding

MVPBench: A Multi-Video Perception Evaluation Benchmark for Multi-Modal Video Understanding

FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM Serving

Think 360{\deg}: Evaluating the Width-centric Reasoning Capability of MLLMs Beyond Depth

HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents

UniPrefill: Universal Long-Context Prefill Acceleration via Block-wise Dynamic Sparsification

From Suppression to Repair: Mitigating Object Hallucination in Large Vision-Language Models via Localized Distribution Alignment

TIP: Token Importance in On-Policy Distillation

Random Wins All: Rethinking Grouping Strategies for Vision Tokens

FlashPrefill: Instantaneous Pattern Discovery and Thresholding for Ultra-Fast Long-Context Prefilling

AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks?

Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation

Learning Fair Domain Adaptation with Virtual Label Distribution

On the Vulnerability of Parameter-Level Defenses to Model Merging

Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs

To Adapt or Not to Adapt? Selective Adaptation for Vision-Language Models

What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time

USE: A Unified Self-Ensembling Framework for Test-Time Prompt Tuning

Do MLLMs Really Understand Space? A Mathematical Reasoning Evaluation

Stay Unique, Stay Efficient: Preserving Model Personality in Multi-task Merging

Editorial for Special Issue on Security and Ethics of Generative Artificial Intelligence

Uncertainty-Aware Source-Free Adaptive Image Restoration with State Space Augmentation

Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection

大模型时代下生成式可视媒体的机遇与挑战——第二十三期CCF秀湖会议报告

生成式可视媒体鉴别与安全

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

VITA-E: Natural Embodied Interaction with Concurrent Seeing, Hearing, Speaking, and Acting

VITA-VLA: Efficiently Teaching Vision-Language Models to Act via Action Expert Distillation

Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy

NOFT: Test-Time Noise Finetune via Information Bottleneck for Highly Correlated Asset Creation

DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling

Expand and Prune: Maximizing Trajectory Diversity for Effective GRPO in Generative Models

Rectifying Magnitude Neglect in Linear Attention

Unlocking the Potential of Difficulty Prior in RL-based Multimodal Reasoning

Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?

R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning

The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models

Adapting Vision-Language Models Without Labels: A Comprehensive Survey

Cooperative Pseudo Labeling for Unsupervised Federated Classification

VeriChain: Reinforced Document Image Forgery Verification via Self-revealing Reasoning Chain

Improving Object Detection Models via LLM-Based Training Data Synthesis

Adaptive Interaction and Correction Attention Network for Audio-Visual Matching

Protecting Model Adaptation from Trojans in the Unlabeled Data

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMs

VITA: Towards Open-Source Interactive Omni Multimodal LLM

ViTAR: Vision Transformer with Any Resolution

InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding

Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens

Breaking the Low-Rank Dilemma of Linear Attention

InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model

InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning

Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model

Vision Transformer with Sparse Scan Prior

Prototypical Distillation and Debiased Tuning for Black-box Unsupervised Domain Adaptation

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization

A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Towards Compatible Fine-tuning for Vision-Language Model Updates

Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning

RISTRA: Recursive Image Super-Resolution Transformer With Relativistic Assessment

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay

Test-time Forgery Detection with Spatial-Frequency Prompt Learning

A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts

Dynamic Graph Memory Bank for Video Inpainting

Attribute-Guided Cross-Modal Interaction and Enhancement for Audio-Visual Matching

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling

RMT: Retentive Networks Meet Vision Transformers

SOSR: Source-Free Image Super-Resolution with Wavelet Augmentation Transformer

DeVAn: Dense Video Annotation for Video-Language Models