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Yonghong Tian
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yonghong Tian 0001 — Peking University, Beijing, School of Electronics Engineering and Computer Science, National Engineering Laboratory for Video Technology, China (and 2 more)
- Yonghong Tian 0002 — Inner Mongolia University of Technology, College of Information Engineering, Hohhot, China
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2020 – today
- 2024
- [c14]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: 5615-5623 - [c13]Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian:
Adaptive Discovering and Merging for Incremental Novel Class Discovery. AAAI 2024: 11276-11284 - [i14]Yabin Zhu, Xiao Wang, Chenglong Li, Bo Jiang, Lin Zhu, Zhixiang Huang, Yonghong Tian, Jin Tang:
CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras. CoRR abs/2401.02826 (2024) - [i13]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning. CoRR abs/2401.05444 (2024) - [i12]Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian:
Adaptive Discovering and Merging for Incremental Novel Class Discovery. CoRR abs/2403.03382 (2024) - [i11]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Noisy Spiking Actor Network for Exploration. CoRR abs/2403.04162 (2024) - [i10]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 abs/2403.05839 (2024) - 2023
- [j5]Zheyu Song, Yonghong Tian, Junjin Zhang:
Similarity Analysis of Ransomware Attacks Based on ATT&CK Matrix. IEEE Access 11: 111378-111388 (2023) - [c12]Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian:
Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning. ICCV 2023: 176-185 - [c11]Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian:
Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation. ICCV 2023: 207-216 - [c10]Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian:
Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. IJCAI 2023: 344-352 - [c9]Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian:
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies. NeurIPS 2023 - [c8]Yangru Huang, Peixi Peng, Yifan Zhao, Haoran Xu, Mengyue Geng, Yonghong Tian:
Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning. NeurIPS 2023 - [i9]Dianze Li, Jianing Li, Yonghong Tian:
SODFormer: Streaming Object Detection with Transformer Using Events and Frames. CoRR abs/2308.04047 (2023) - [i8]Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang:
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline. CoRR abs/2309.14611 (2023) - [i7]Xiao Wang, Yao Rong, Shiao Wang, Yuan Chen, Zhe Wu, Bo Jiang, Yonghong Tian, Jin Tang:
Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition. CoRR abs/2312.11128 (2023) - 2022
- [c7]Tianyu Wang, Wenming Yang, Jie Chen, Yonghong Tian, Dong-Qing Wei:
ConformerDTI: Local Features Coupling Global Representations for Drug-Target Interaction Prediction. BIBM 2022: 1227-1234 - [c6]Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xi-Le Zhao, Luxin Yan, Yonghong Tian:
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. CVPR 2022: 5811-5820 - [c5]Xu Liu, Jianing Li, Xianqi Zhang, Jingyuan Sun, Xiaopeng Fan, Yonghong Tian:
Learning Visible Surface Area Estimation for Irregular Objects. ACM Multimedia 2022: 2333-2343 - [c4]Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian:
Spectrum Random Masking for Generalization in Image-based Reinforcement Learning. NeurIPS 2022 - [i6]Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian:
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. CoRR abs/2203.11509 (2022) - [i5]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. CoRR abs/2211.00837 (2022) - [i4]Xu Liu, Jianing Li, Xiaopeng Fan, Yonghong Tian:
Event-based Monocular Dense Depth Estimation with Recurrent Transformers. CoRR abs/2212.02791 (2022) - 2021
- [c3]Ivan V. Bajic, Weisi Lin, Yonghong Tian:
Collaborative Intelligence: Challenges and Opportunities. ICASSP 2021: 8493-8497 - [i3]Ivan V. Bajic, Weisi Lin, Yonghong Tian:
Collaborative Intelligence: Challenges and Opportunities. CoRR abs/2102.06841 (2021) - 2020
- [j4]Weiqing Min, Yonghong Tian, Zi Huang, Wen-Huang Cheng, Abdulmotaleb El-Saddik:
Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications. IEEE Multim. 27(3): 8-11 (2020) - [j3]Yonghong Tian, Qi Wu, Yue Zhang:
A Convolutional Long Short-Term Memory Neural Network Based Prediction Model. Int. J. Comput. Commun. Control 15(5) (2020) - [j2]Yonghong Tian, Bing Zheng, Zeyu Li, Yue Zhang, Qi Wu:
Online Car-Hailing Supply-Demand Forecast Based on Deep Learning. Ingénierie des Systèmes d Inf. 25(1): 21-26 (2020) - [j1]Yonghong Tian, Bing Zheng, Zeyu Li, Yue Zhang, Qi Wu:
Supply-Demand Prediction of DiDi Based on Points of Interests Selection in Extreme Gradient Boosting Algorithm. Rev. d'Intelligence Artif. 34(1): 111-116 (2020)
2010 – 2019
- 2019
- [c2]Yafei Song, Yonghong Tian, Gang Wang, Mingyang Li:
2D LiDAR Map Prediction via Estimating Motion Flow with GRU. ICRA 2019: 6617-6623 - [i2]Yafei Song, Yonghong Tian, Gang Wang, Mingyang Li:
2D LiDAR Map Prediction via Estimating Motion Flow with GRU. CoRR abs/1902.06919 (2019) - 2018
- [c1]Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian:
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN. NeurIPS 2018: 806-815 - [i1]Yonghong Tian, Zeyu Li, Zhiwei Xu, Xuying Meng, Bing Zheng:
Peeking the Impact of Points of Interests on Didi. CoRR abs/1804.04176 (2018)
Coauthor Index
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last updated on 2024-04-25 05:57 CEST by the dblp team
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