Tian, Yonghong

82 publications

AAAI 2025 AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-Ideal Conditions and Larger Scenes Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan, Yonghong Tian

ICCV 2025 AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery Xinzi Cao, Ke Chen, Feidiao Yang, Xiawu Zheng, Yonghong Tian, Yutong Lu

CVPR 2025 Asynchronous Collaborative Graph Representation for Frames and Events Dianze Li, Jianing Li, Xu Liu, Xiaopeng Fan, Yonghong Tian

NeurIPS 2025 Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations Li Hao, He Cao, Bin Feng, Daniel Shao, Xiangru Tang, Zhiyuan Yan, Yonghong Tian, Li Yuan, Yu Li

ICCV 2025 Efficient Event Camera Data Pretraining with Adaptive Prompt Fusion Quanmin Liang, Qiang Li, Shuai Liu, Xinzi Cao, Jinyi Lu, Feidiao Yang, Wei Zhang, Kai Huang, Yonghong Tian

ICCV 2025 EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images Wangbo Yu, Chaoran Feng, Jianing Li, Jiye Tang, Jiashu Yang, Zhenyu Tang, Meng Cao, Xu Jia, Yuchao Yang, Li Yuan, Yonghong Tian

ICCV 2025 From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-Guided Symbolic Reasoning Yuhui Zeng, Haoxiang Wu, Wenjie Nie, Guangyao Chen, Xiawu Zheng, Yunhang Shen, Jun Peng, Yonghong Tian, Rongrong Ji

NeurIPS 2025 GS2E: Gaussian Splatting Is an Effective Data Generator for Event Stream Generation Yuchen Li, Chaoran Feng, Zhenyu Tang, Kaiyuan Deng, Wangbo Yu, Yonghong Tian, Li Yuan

CVPR 2025 Is This Generated Person Existed in Real-World? Fine-Grained Detecting and Calibrating Abnormal Human-Body Zeqing Wang, Qingyang Ma, Wentao Wan, Haojie Li, Keze Wang, Yonghong Tian

ICLR 2025 Multimodal Quantitative Language for Generative Recommendation Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian

NeurIPS 2025 Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou

CVPR 2025 Object Detection Using Event Camera: A MoE Heat Conduction Based Detector and a New Benchmark Dataset Xiao Wang, Yu Jin, Wentao Wu, Wei Zhang, Lin Zhu, Bo Jiang, Yonghong Tian

ICLR 2025 PiCO: Peer Review in LLMs Based on Consistency Optimization Kun-Peng Ning, Shuo Yang, Yuyang Liu, Jia-Yu Yao, Zhenhui Liu, Yonghong Tian, Yibing Song, Li Yuan

CVPR 2025 RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing Zhipeng Huang, Wangbo Yu, Xinhua Cheng, Chengshu Zhao, Yunyang Ge, Mingyi Guo, Li Yuan, Yonghong Tian

CVPR 2025 Self-Supervised Learning for Color Spike Camera Reconstruction Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan, Zhaofei Yu, Yonghong Tian, Tiejun Huang

NeurIPS 2025 Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array Qinghong Ye, Yiqian Chang, Jianing Li, Haoran Xu, Xuan Wang, Wei Zhang, Yonghong Tian, Peixi Peng

NeurIPS 2025 Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

CVPR 2025 VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning Haoran Xu, Peixi Peng, Guang Tan, Yiqian Chang, Luntong Li, Yonghong Tian

AAAI 2025 Visual Reinforcement Learning with Residual Action Zhenxian Liu, Peixi Peng, Yonghong Tian

ICML 2025 When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network Dong Xiao, Guangyao Chen, Peixi Peng, Yangru Huang, Yifan Zhao, Yongxing Dai, Yonghong Tian

AAAI 2024 Adaptive Discovering and Merging for Incremental Novel Class Discovery Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian

CVPR 2024 DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning Haoran Xu, Peixi Peng, Guang Tan, Yuan Li, Xinhai Xu, Yonghong Tian

IJCAI 2024 Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian

CVPR 2024 Event Stream-Based Visual Object Tracking: A High-Resolution Benchmark Dataset and a Novel Baseline Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang

CVPR 2024 Event-Based Visible and Infrared Fusion via Multi-Task Collaboration Mengyue Geng, Lin Zhu, Lizhi Wang, Wei Zhang, Ruiqin Xiong, Yonghong Tian

AAAI 2024 HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian

ECCV 2024 HiFi-123: Towards High-Fidelity One Image to 3D Content Generation Wangbo Yu, Li Yuan, Yan-Pei Cao, Xiangjun Gao, Xiaoyu Li, Wenbo Hu, Long Quan, Ying Shan, Yonghong Tian

ICML 2024 High-Performance Temporal Reversible Spiking Neural Networks with $\mathcal{O}(L)$ Training Memory and $\mathcal{O}(1)$ Inference Cost Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li

NeurIPS 2024 Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex Under Movie Stimuli Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

NeurIPS 2024 QKFormer: Hierarchical Spiking Transformer Using Q-K Attention Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian

NeurIPS 2024 Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-Modal Visual RL Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian

CVPR 2024 Solving the Catastrophic Forgetting Problem in Generalized Category Discovery Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian

ICLR 2024 Spike-Driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-Generation Neuromorphic Chips Man Yao, JiaKui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li

NeurIPSW 2024 TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation Zongying Lin, Li Hao, Liuzhenghao Lv, Yu Wang, Bin Lin, Junwu Zhang, Zijun Chen, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian

ICLR 2023 A Unified Framework for Soft Threshold Pruning Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian

AAAI 2023 Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

IJCAI 2023 Dynamic Belief for Decentralized Multi-Agent Cooperative Learning Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian

NeurIPS 2023 Hierarchical Adaptive Value Estimation for Multi-Modal Visual Reinforcement Learning Yangru Huang, Peixi Peng, Yifan Zhao, Haoran Xu, Mengyue Geng, Yonghong Tian

CVPR 2023 Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian

CVPR 2023 Meta Architecture for Point Cloud Analysis Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji

NeurIPS 2023 Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-Term Dependencies Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian

ICCV 2023 Simoun: Synergizing Interactive Motion-Appearance Understanding for Vision-Based Reinforcement Learning Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian

NeurIPS 2023 Spike-Driven Transformer Man Yao, JiaKui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li

ICLR 2023 Spikformer: When Spiking Neural Network Meets Transformer Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan

ICCV 2023 Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian

CVPR 2022 Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian

CVPR 2022 Fine-Grained Object Classification via Self-Supervised Pose Alignment Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian

CVPR 2022 IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji

ICLRW 2022 MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian

ECCV 2022 Masked Autoencoders for Point Cloud Self-Supervised Learning Yatian Pang, Wenxiao Wang, Francis E.H. Tay, Wei Liu, Yonghong Tian, Li Yuan

CVPR 2022 Neural Architecture Search with Representation Mutual Information Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji

AAAI 2022 Retinomorphic Object Detection in Asynchronous Visual Streams Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian

NeurIPS 2022 Spectrum Random Masking for Generalization in Image-Based Reinforcement Learning Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian

ICML 2022 State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian

CVPR 2022 Training-Free Transformer Architecture Search Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji

CVPR 2022 Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xi-Le Zhao, Luxin Yan, Yonghong Tian

ICCV 2021 Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian

NeurIPS 2021 Deep Residual Learning in Spiking Neural Networks Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian

ICCV 2021 Heterogeneous Relational Complement for Vehicle Re-Identification Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian

CVPR 2021 High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang

ICCV 2021 Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian

AAAI 2021 Matching on Sets: Conquer Occluded Person Re-Identification Without Alignment Mengxi Jia, Xinhua Cheng, Yunpeng Zhai, Shijian Lu, Siwei Ma, Yonghong Tian, Jian Zhang

ICCV 2021 NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, Yonghong Tian

IJCAI 2021 Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang

WACV 2021 PNPDet: Efficient Few-Shot Detection Without Forgetting via Plug-and-Play Sub-Networks Gongjie Zhang, Kaiwen Cui, Rongliang Wu, Shijian Lu, Yonghong Tian

IJCAI 2021 Pruning of Deep Spiking Neural Networks Through Gradient Rewiring Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian

ICCV 2021 ReCU: Reviving the Dead Weights in Binary Neural Networks Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji

CVPR 2021 Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu

IJCAI 2020 Channel Pruning via Automatic Structure Search Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian

WACV 2020 Global Co-Occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-Based Action Recognition Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian

ECCV 2020 Learning Open Set Network with Discriminative Reciprocal Points Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian

ECCV 2020 Multiple Expert Brainstorming for Domain Adaptive Person Re-Identification Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian

AAAI 2020 Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian

NeurIPS 2018 Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian

ICCV 2017 Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-Similar Vehicles Ke Yan, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang

ICCV 2017 Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network Yemin Shi, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang

CVPR 2016 Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles Hongye Liu, Yonghong Tian, Yaowei Yang, Lu Pang, Tiejun Huang

ECCV 2016 Joint Learning of Semantic and Latent Attributes Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Tiejun Huang

CVPR 2016 Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian

AAAI 2015 Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huang

CVPR 2014 Quality Assessment for Comparing Image Enhancement Algorithms Zhengying Chen, Tingting Jiang, Yonghong Tian

ICCV 2009 Group-Sensitive Multiple Kernel Learning for Object Categorization Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao