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2020 – today
- 2024
[j11]Li Ma
, Yifan Zhao, Peixi Peng, Yonghong Tian:
Sensitivity Decouple Learning for Image Compression Artifacts Reduction. IEEE Trans. Image Process. 33: 3620-3633 (2024)- [j10]Shuhan Qi, Xinhao Huang, Peixi Peng, Xuzhong Huang, Jiajia Zhang, Xuan Wang:
Cascaded Attention: Adaptive and Gated Graph Attention Network for Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3769-3779 (2024) - [j9]Yue Zhang, Wanshu Fan, Peixi Peng, Xin Yang, Dongsheng Zhou, Xiaopeng Wei:
Dual modality prompt learning for visual question-grounded answering in robotic surgery. Vis. Comput. Ind. Biomed. Art 7(1): 9 (2024) - [c36]Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian:
Adaptive Discovering and Merging for Incremental Novel Class Discovery. AAAI 2024: 11276-11284 - [c35]Di Wen, Haoran Xu, Zhaocheng He, Zhe Wu, Guang Tan, Peixi Peng:
Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction. CVPR 2024: 14822-14832 - [c34]Haoran Xu, Peixi Peng, Guang Tan, Yuan Li, Xinhai Xu, Yonghong Tian:
DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning. CVPR 2024: 26498-26508 - [c33]Peixi Peng, Wanshu Fan, Wenfei Liu, Xin Yang, Dongsheng Zhou:
Prior-Posterior Knowledge Prompting-and-Reasoning for Surgical Visual Question Localized-Answering. IJCNN 2024: 1-9 - [i18]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning. CoRR abs/2401.05444 (2024) - [i17]Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian:
Adaptive Discovering and Merging for Incremental Novel Class Discovery. CoRR abs/2403.03382 (2024) - [i16]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Noisy Spiking Actor Network for Exploration. CoRR abs/2403.04162 (2024) - [i15]Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian:
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. CoRR abs/2404.00886 (2024) - [i14]Li Ma, Yifan Zhao, Peixi Peng, Yonghong Tian:
Sensitivity Decouple Learning for Image Compression Artifacts Reduction. CoRR abs/2405.09291 (2024) - 2023
- [j8]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): 1-25 (2023) - [j7]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): 1884-1898 (2023) - [j6]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): 11570-11584 (2023) - [c32]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: 24183-24192 - [c31]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 - [c30]Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian:
Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation. ICCV 2023: 207-216 - [c29]Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian:
Learning Sparse Neural Networks with Identity Layers. ICIG (3) 2023: 91-102 - [c28]Shijun Guo, Haoran Xu, Guangqiang Xie, Di Wen, Yangru Huang, Peixi Peng:
Reinforcement Learning-Based Consensus Reaching in Large-Scale Social Networks. ICONIP (8) 2023: 169-183 - [c27]Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian:
Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. IJCAI 2023: 344-352 - [c26]Yangru Huang, Peixi Peng, Yifan Zhao, Haoran Xu, Mengyue Geng, Yonghong Tian:
Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning. NeurIPS 2023 - [i13]Guangyao Chen, Peixi Peng, Guoqi Li, Yonghong Tian:
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway. CoRR abs/2301.11929 (2023) - [i12]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. CoRR abs/2304.00426 (2023) - [i11]Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian:
Picking Up Quantization Steps for Compressed Image Classification. CoRR abs/2304.10714 (2023) - [i10]Yunpeng Zhai, Peixi Peng, Mengxi Jia, Shiyong Li, Weiqiang Chen, Xuesong Gao, Yonghong Tian:
Population-Based Evolutionary Gaming for Unsupervised Person Re-identification. CoRR abs/2306.05236 (2023) - [i9]Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian:
Learning Sparse Neural Networks with Identity Layers. CoRR abs/2307.07389 (2023) - 2022
- [j5]Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian:
Adversarial Reciprocal Points Learning for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8065-8081 (2022) - [j4]Chong Zhang, Zongxian Li, Jingjing Liu, Peixi Peng, Qixiang Ye, Shijian Lu, Tie-Jun Huang, Yonghong Tian:
Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection. IEEE Trans. Multim. 24: 2246-2258 (2022) - [c25]Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian:
Spectrum Random Masking for Generalization in Image-based Reinforcement Learning. NeurIPS 2022 - [i8]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Deep Reinforcement Learning with Spiking Q-learning. CoRR abs/2201.09754 (2022) - [i7]Lantian Xue, Yixiong Zou, Peixi Peng, Yonghong Tian, Tiejun Huang:
Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection. CoRR abs/2203.05395 (2022) - 2021
- [j3]Yi Jin, Chenning Li, Yidong Li, Peixi Peng, George A. Giannopoulos:
Model Latent Views With Multi-Center Metric Learning for Vehicle Re-Identification. IEEE Trans. Intell. Transp. Syst. 22(3): 1919-1931 (2021) - [c24]Li Ma, Peixi Peng, Peiyin Xing, Yaowei Wang, Yonghong Tian:
Reducing Image Compression Artifacts for Deep Neural Networks. DCC 2021: 355 - [c23]Peiyin Xing, Xiaofei Liu, Peixi Peng, Tiejun Huang, Yonghong Tian:
Allocating DNN Layers Computation Between Front-End Devices and The Cloud Server for Video Big Data Processing. ICASSP 2021: 8483-8487 - [c22]Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian:
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. ICCV 2021: 448-457 - [c21]Xuebo Shan, Peixi Peng, Yunpeng Zhai, Chong Zhang, Tiejun Huang, Yonghong Tian:
Generate And Adjust: A Novel Framework For Semi-Supervised Pedestrian Attribute Recognition. ICME Workshops 2021: 1-6 - [c20]Jing Song, Peixi Peng, Yunpeng Zhai, Chong Zhang, Yonghong Tian:
Adaptive Multi-Scale Semantic Fusion Network For Zero-Shot Learning. ICME Workshops 2021: 1-6 - [i6]Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian:
Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. CoRR abs/2101.00746 (2021) - [i5]Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian:
Adversarial Reciprocal Points Learning for Open Set Recognition. CoRR abs/2103.00953 (2021) - [i4]Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian:
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. CoRR abs/2108.08487 (2021) - 2020
- [c19]Yangru Huang, Peixi Peng, Yi Jin, Yidong Li, Junliang Xing:
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification. AAAI 2020: 11069-11076 - [c18]Peiyin Xing, Peixi Peng, Yongsheng Liang, Tiejun Huang, Yonghong Tian:
Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition. DCC 2020: 400 - [c17]Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. ECCV (3) 2020: 507-522 - [c16]Peixi Peng, Junliang Xing, Lili Cao:
Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations. IJCAI 2020: 3037-3043 - [c15]Peiyin Xing, Yaowei Wang, Peixi Peng, Yonghong Tian, Tiejun Huang:
End-Edge-Cloud Collaborative System: A Video Big Data Processing and Analysis Architecture. MIPR 2020: 233-236 - [c14]Peixi Peng, Yonghong Tian, Yangru Huang, Xiangqian Wang, Huilong An:
Discriminative Spatial Feature Learning for Person Re-Identification. ACM Multimedia 2020: 274-283 - [c13]Mengyue Geng, Peixi Peng, Yangru Huang, Yonghong Tian:
Masked Face Recognition with Generative Data Augmentation and Domain Constrained Ranking. ACM Multimedia 2020: 2246-2254 - [c12]Feifei Ding, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian:
Masked Face Recognition with Latent Part Detection. ACM Multimedia 2020: 2281-2289 - [i3]Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. CoRR abs/2011.00178 (2020)
2010 – 2019
- 2019
- [c11]Yangru Huang, Yi Jin, Peixi Peng, Congyan Lang, Yidong Li:
Unsupervised Person Re-identification Based on Clustering and Domain-Invariant Network. ICIG (3) 2019: 517-528 - [c10]Xiaoliang Yang, Congyan Lang, Peixi Peng, Junliang Xing:
Vehicle Re-Identification by Multi-Grain Learni. ICIP 2019: 3113-3117 - [c9]Weipeng Lin, Yidong Li, Xiaoliang Yang, Peixi Peng, Junliang Xing:
Multi-View Learning for Vehicle Re-Identification. ICME 2019: 832-837 - [c8]Peixi Peng, Junliang Xing, Lili Cao, Lisen Mu, Chang Huang:
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game. IJCAI 2019: 1305-1311 - [c7]Yan Sha, Congyan Lang, Peixi Peng, Junliang Xing, Danxia Li:
Joint Learning of Dictionary and Convolutional Network for Pedestrian Attribute Recognition. VCIP 2019: 1-4 - [i2]Yangru Huang, Peixi Peng, Yi Jin, Junliang Xing, Congyan Lang, Songhe Feng:
Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification. CoRR abs/1905.10529 (2019) - 2018
- [j2]Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Tiejun Huang:
Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1625-1638 (2018) - [c6]Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Stephen J. Maybank:
Visual Tracking via Spatially Aligned Correlation Filters Network. ECCV (3) 2018: 484-500 - [i1]Peixi Peng, Junliang Xing, Lu Pang:
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration. CoRR abs/1812.01825 (2018) - 2016
- [c5]Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian:
Unsupervised Cross-Dataset Transfer Learning for Person Re-identification. CVPR 2016: 1306-1315 - [c4]Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Tiejun Huang:
Joint Learning of Semantic and Latent Attributes. ECCV (4) 2016: 336-353 - 2015
- [j1]Peixi Peng, Yonghong Tian, Yaowei Wang, Jia Li, Tiejun Huang:
Robust multiple cameras pedestrian detection with multi-view Bayesian network. Pattern Recognit. 48(5): 1760-1772 (2015) - 2012
- [c3]Teng Xu, Peixi Peng, Xiaoyu Fang, Chi Su, Yaowei Wang, Yonghong Tian, Wei Zeng, Tiejun Huang:
Single and Multiple View Detection, Tracking and Video Analysis in Crowded Environments. AVSS 2012: 494-499 - [c2]Peixi Peng, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Multi-camera Pedestrian Detection with Multi-view Bayesian Network Model. BMVC 2012: 1-12 - 2011
- [c1]Xiaoyu Fang, Hongming Zhang, Chi Su, Teng Xu, Feng Wang, Shaopeng Tang, Ziwei Xia, Peixi Peng, Guoyi Liu, Yaowei Wang, Wei Zeng, Yonghong Tian:
PKU-NEC @TRECVID2011 SED: Sequence-Based Event Detection in Surveillance Video. TRECVID 2011
Coauthor Index
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last updated on 2024-10-09 20:31 CEST by the dblp team
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