Yonghong Tian

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 295

Top Venues

CoRR

ACM Multimedia

CVPR

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Hao Li, Da Long, Li Yuan, Yonghong Tian, Xinchang Wang, Fanyang Mo
Deep peak property learning for efficient chiral molecules ECD spectra prediction. CoRR (2024)
Xiao Wang, Shiao Wang, Yuhe Ding, Yuehang Li, Wentao Wu, Yao Rong, Weizhe Kong, Ju Huang, Shihao Li, Haoxiang Yang, Ziwen Wang, Bo Jiang, Chenglong Li, Yaowei Wang, Yonghong Tian, Jin Tang
State Space Model for New-Generation Network Alternative to Transformers: A Survey. CoRR (2024)
Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang
Universal Object Detection with Large Vision Model. Int. J. Comput. Vis. 132 (4) (2024)
Yifan Zhao, Jia Li, Yonghong Tian
Parsing Objects at a Finer Granularity: A Survey. Mach. Intell. Res. 21 (3) (2024)
Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian
Adaptive Discovering and Merging for Incremental Novel Class Discovery. CoRR (2024)
Haiyang Zhou, Xinhua Cheng, Wangbo Yu, Yonghong Tian, Li Yuan
HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions. CoRR (2024)
Tianshuo Xu, Lijiang Li, Peng Mi, Xiawu Zheng, Fei Chao, Rongrong Ji, Yonghong Tian, Qiang Shen
Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Xu Liu, Jianing Li, Jinqiao Shi, Xiaopeng Fan, Yonghong Tian, Debin Zhao
Event-Based Monocular Depth Estimation With Recurrent Transformers. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. AAAI (2024)
Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. ICLR (2024)
Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian
Noisy Spiking Actor Network for Exploration. CoRR (2024)
Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. CoRR (2024)
Li Ma, Yifan Zhao, Peixi Peng, Yonghong Tian
Sensitivity Decouple Learning for Image Compression Artifacts Reduction. IEEE Trans. Image Process. 33 (2024)
Xiao Wang, Qian Zhu, Jiandong Jin, Jun Zhu, Futian Wang, Bo Jiang, Yaowei Wang, Yonghong Tian
Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition. CoRR (2024)
Yi Chang, Yun Guo, Yuntong Ye, Changfeng Yu, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Chenlin Zhou, Han Zhang, Liutao Yu, Yumin Ye, Zhaokun Zhou, Liwei Huang, Zhengyu Ma, Xiaopeng Fan, Huihui Zhou, Yonghong Tian
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods. CoRR (2024)
Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. CoRR (2024)
Li Ma, Yifan Zhao, Peixi Peng, Yonghong Tian
Sensitivity Decouple Learning for Image Compression Artifacts Reduction. CoRR (2024)
Xiao Wang, Ju Huang, Shiao Wang, Chuanming Tang, Bo Jiang, Yonghong Tian, Jin Tang, Bin Luo
Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline. CoRR (2024)
Lan Chen, Dong Li, Xiao Wang, Pengpeng Shao, Wei Zhang, Yaowei Wang, Yonghong Tian, Jin Tang
Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition. CoRR (2024)
Wangbo Yu, Chaoran Feng, Jiye Tang, Xu Jia, Li Yuan, Yonghong Tian
EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images. CoRR (2024)
Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows. IEEE Trans. Cybern. 54 (3) (2024)
Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian
QKFormer: Hierarchical Spiking Transformer using Q-K Attention. CoRR (2024)
Liuzhenghao Lv, Zongying Lin, Hao Li, Yuyang Liu, Jiaxi Cui, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian
ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing. CoRR (2024)
Haonan Qiu, Munan Ning, Zeyin Song, Wei Fang, Yanqi Chen, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian
Self-architectural knowledge distillation for spiking neural networks. Neural Networks 178 (2024)
Zongying Lin, Hao Li, Liuzhenghao Lv, Bin Lin, Junwu Zhang, Calvin Yu-Chian Chwn, Li Yuan, Yonghong Tian
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation. CoRR (2024)
Zhaokun Zhou, Kaiwei Che, Wei Fang, Keyu Tian, Yuesheng Zhu, Shuicheng Yan, Yonghong Tian, Li Yuan
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket. CoRR (2024)
Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian
Optimal ANN-SNN Conversion with Group Neurons. ICASSP (2024)
Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian
Optimal ANN-SNN Conversion with Group Neurons. CoRR (2024)
Zhiyi Tian, Lei Cui, Chenhan Zhang, Shuaishuai Tan, Shui Yu, Yonghong Tian
The Role of Class Information in Model Inversion Attacks Against Image Deep Learning Classifiers. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion. CoRR (2024)
Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian
SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition. CoRR (2024)
Chao Li, Shanzhi Yin, Chuanmin Jia, Fanyang Meng, Yonghong Tian, Yongsheng Liang
Multirate Progressive Entropy Model for Learned Image Compression. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Qiangqiang Shen, Yongyong Chen, Changqing Zhang, Yonghong Tian, Yongsheng Liang
Pick-and-Place Transform Learning for Fast Multi-View Clustering. IEEE Trans. Image Process. 33 (2024)
Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian
Adaptive Discovering and Merging for Incremental Novel Class Discovery. AAAI (2024)
Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li
High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. CoRR (2024)
Youneng Bao, Fanyang Meng, Chao Li, Siwei Ma, Yonghong Tian, Yongsheng Liang
Nonlinear Transforms in Learned Image Compression From a Communication Perspective. IEEE Trans. Circuits Syst. Video Technol. 33 (4) (2023)
Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Xiaopeng Fan, Yonghong Tian
Neuron-Based Spiking Transmission and Reasoning Network for Robust Image-Text Retrieval. IEEE Trans. Circuits Syst. Video Technol. 33 (7) (2023)
Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
A Unified Framework for Soft Threshold Pruning. CoRR (2023)
Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji
Meta Architecture for Point Cloud Analysis. CVPR (2023)
Wenrui Li, Xi-Le Zhao, Zhengyu Ma, Xingtao Wang, Xiaopeng Fan, Yonghong Tian
Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning. ACM Multimedia (2023)
Liwei Huang, Zhengyu Ma, Huihui Zhou, Yonghong Tian
Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli. CoRR (2023)
Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian
Picking Up Quantization Steps for Compressed Image Classification. CoRR (2023)
Dianze Li, Yonghong Tian, Jianing Li
SODFormer: Streaming Object Detection With Transformer Using Events and Frames. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiao-Yong Wei, Yaowei Wang, Yonghong Tian, Wen Gao
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey. Mach. Intell. Res. 20 (4) (2023)
Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian
Picking Up Quantization Steps for Compressed Image Classification. IEEE Trans. Circuits Syst. Video Technol. 33 (4) (2023)
Pengchong Qiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, Jie Chen
Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix. IEEE Trans. Medical Imaging 42 (5) (2023)
Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network. CoRR (2023)
Wendong Zheng, Putian Zhao, Gang Chen, Huihui Zhou, Yonghong Tian
A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning Under Concept-Drift Environment. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
Knowledge Prompt-tuning for Sequential Recommendation. CoRR (2023)
Xijie Xiang, Lin Zhu, Jianing Li, Yixuan Wang, Tie-Jun Huang, Yonghong Tian
Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream. IEEE Trans. Circuits Syst. Video Technol. 33 (1) (2023)
Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking. IEEE Trans. Multim. 25 (2023)
Jianing Li, Yihua Fu, Siwei Dong, Zhaofei Yu, Tie-Jun Huang, Yonghong Tian
Asynchronous Spatiotemporal Spike Metric for Event Cameras. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Yunpeng Zhai, Peixi Peng, Mengxi Jia, Shiyong Li, Weiqiang Chen, Xuesong Gao, Yonghong Tian
Population-Based Evolutionary Gaming for Unsupervised Person Re-identification. CoRR (2023)
Yunpeng Zhai, Peixi Peng, Mengxi Jia, Shiyong Li, Weiqiang Chen, Xuesong Gao, Yonghong Tian
Population-Based Evolutionary Gaming for Unsupervised Person Re-identification. Int. J. Comput. Vis. 131 (1) (2023)
Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Wangbo Yu, Li Yuan, Yan-Pei Cao, Xiangjun Gao, Xiaoyu Li, Long Quan, Ying Shan, Yonghong Tian
HiFi-123: Towards High-fidelity One Image to 3D Content Generation. CoRR (2023)
Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. CoRR (2023)
Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. CoRR (2023)
Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li
Attention Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. CVPR (2023)
Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
A Unified Framework for Soft Threshold Pruning. ICLR (2023)
Munan Ning, Yujia Xie, Dongdong Chen, Zeyin Song, Lu Yuan, Yonghong Tian, Qixiang Ye, Li Yuan
Album Storytelling with Iterative Story-aware Captioning and Large Language Models. CoRR (2023)
Dongkai Wang, Shiliang Zhang, Yaowei Wang, Yonghong Tian, Tiejun Huang, Wen Gao
HumVis: Human-Centric Visual Analysis System. ACM Multimedia (2023)
Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian
Learning Sparse Neural Networks with Identity Layers. CoRR (2023)
Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. CoRR (2023)
Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li
Spike-driven Transformer. NeurIPS (2023)
Xiao Wang, Zongzhen Wu, Yao Rong, Lin Zhu, Bo Jiang, Jin Tang, Yonghong Tian
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition. CoRR (2023)
Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji
Distilling a Powerful Student Model via Online Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Man Yao, Yuhong Chou, Guangshe Zhao, Xiawu Zheng, Yonghong Tian, Bo Xu, Guoqi Li
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network. CoRR (2023)
Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan
Spikformer: When Spiking Neural Network Meets Transformer. ICLR (2023)
Yifan Zhao, Tong Zhang, Jia Li, Yonghong Tian
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning. CoRR (2023)
Quanmin Liang, Xiawu Zheng, Kai Huang, Yan Zhang, Jie Chen, Yonghong Tian
Event-Diffusion: Event-Based Image Reconstruction and Restoration with Diffusion Models. ACM Multimedia (2023)
Yifan Zhao, Jia Li, Yu Zhang, Yonghong Tian
From Pose to Part: Weakly-Supervised Pose Evolution for Human Part Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian
Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera via Spiking Neuron Model. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
Knowledge Prompt-tuning for Sequential Recommendation. ACM Multimedia (2023)
Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li
Spike-driven Transformer. CoRR (2023)
Yifan Zhao, Tong Zhang, Jia Li, Yonghong Tian
Dual Adaptive Representation Alignment for Cross-Domain Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. CoRR (2023)
Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. AAAI (2023)
Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji
1xN Pattern for Pruning Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Zhengyu Ma, Huihui Zhou, Xiaopeng Fan, Yonghong Tian
Enhancing the Performance of Transformer-based Spiking Neural Networks by Improved Downsampling with Precise Gradient Backpropagation. CoRR (2023)
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji
Carrying Out CNN Channel Pruning in a White Box. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian
Temporal Contrastive Learning for Spiking Neural Networks. CoRR (2023)
Guangyao Chen, Peixi Peng, Guoqi Li, Yonghong Tian
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway. CoRR (2023)
Kaiwei Che, Zhaokun Zhou, Zhengyu Ma, Wei Fang, Yanqi Chen, Shuaijie Shen, Li Yuan, Yonghong Tian
Auto-Spikformer: Spikformer Architecture Search. CoRR (2023)
Xinzi Cao, Xiawu Zheng, Yunhang Shen, Ke Li, Jie Chen, Yutong Lu, Yonghong Tian
LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization. ACM Multimedia (2023)
Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian
Learning Sparse Neural Networks with Identity Layers. ICIG (3) (2023)
Jie Chen, Zhiwei Nie, Yu Wang, Kai Wang, Fan Xu, Zhiheng Hu, Bing Zheng, Zhennan Wang, Guoli Song, Jingyi Zhang, Jie Fu, Xiansong Huang, Zhongqi Wang, Zhixiang Ren, Qiankun Wang, Daixi Li, Dongqing Wei, Bin Zhou, Chao Yang, Yonghong Tian
Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants. Int. J. High Perform. Comput. Appl. 37 (6) (2023)
Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. CVPR (2022)
Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian
Retinomorphic Object Detection in Asynchronous Visual Streams. AAAI (2022)
Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji
Meta Architecure for Point Cloud Analysis. CoRR (2022)
Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu
Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Jianing Li, Jia Li, Lin Zhu, Xijie Xiang, Tiejun Huang, Yonghong Tian
Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection. IEEE Trans. Image Process. 31 (2022)
Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao
Fast Class-Wise Updating for Online Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian
Fine-Grained Object Classification via Self-Supervised Pose Alignment. CVPR (2022)
Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji
Filter Sketch for Network Pruning. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. CoRR (2022)
Yifan Zhao, Jia Li, Yonghong Tian
Parsing Objects at a Finer Granularity: A Survey. CoRR (2022)

Yonghong Tian.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yonghong Tian