Peixi Peng - RankMe

92 papers A* 29A 3B 6C 1Misc 1Journal 42Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	BulletTime4D: Towards High Spatio-Temporal Resolution Dynamic Scene Rendering via Spike-Guided Stereo Vision. AAAI Yiqian Chang, Haoran Xu, Qinghong Ye, Jianing Li, Xuan Wang, Wei Zhang, Peixi Peng
2026	A*	`conf`	COVR: Collaborative Optimization of VLMs and RL Agent for Visual-Based Control. AAAI Canming Xia, Peixi Peng, Guang Tan, Zhan Su, Haoran Xu, Zhenxian Liu, Luntong Li
2026	J	`jnl`	COVR:Collaborative Optimization of VLMs and RL Agent for Visual-Based Control. CoRR Canming Xia, Peixi Peng, Guang Tan, Zhan Su, Haoran Xu, Zhenxian Liu, Luntong Li
2026	A*	`conf`	Fine-flow Distilling Coarse-flow Video Generation for Long-Term Driving World Model. AAAI Xiaodong Wang, Zhirong Wu, Peixi Peng
2026	A*	`conf`	LiViBench: An Omnimodal Benchmark for Interactive Livestream Video Understanding. AAAI Xiaodong Wang, Langling Huang, Zhirong Wu, Xu Zhao, Teng Xu, Xuhong Xia, Peixi Peng
2026	J	`jnl`	LiViBench: An Omnimodal Benchmark for Interactive Livestream Video Understanding. CoRR Xiaodong Wang, Langling Huang, Zhirong Wu, Xu Zhao, Teng Xu, Xuhong Xia, Peixi Peng
2026	A*	`conf`	Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models. AAAI Zhenxian Liu, Peixi Peng, Yangru Huang, Yonghong Tian
2026	J	`jnl`	SERF: Spatiotemporal-Aware Event-RGB Fusion for Steering Angle Prediction. IEEE Trans. Intell. Transp. Syst. Canming Xia, Peixi Peng, Haoran Xu, Guang Tan, Luntong Li, Yonghong Tian
2025	J	`jnl`	A Global Visual Information Intervention Model for Medical Visual Question Answering. Comput. Biol. Medicine Peixi Peng, Wanshu Fan, Yue Shen, Xin Yang, Dongsheng Zhou
2025	A	`conf`	CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection. ICME Mingyi Guo, Yuyang Liu, Zhiyuan Yan, Zongying Lin, Peixi Peng, Yonghong Tian
2025	A*	`conf`	Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction. AAAI Haoran Xu, Peixi Peng, Xinyi Zhang, Guang Tan, Yaokun Li, Shuaixian Wang, Luntong Li
2025	J	`jnl`	FreeGen: Feed-Forward Reconstruction-Generation Co-Training for Free-Viewpoint Driving Scene Synthesis. CoRR Shijie Chen, Peixi Peng
2025	J	`jnl`	Fully Spiking Actor Network With Intralayer Connections for Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian
2025	J	`jnl`	LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs. CoRR Xiaodong Wang, Jinfa Huang, Li Yuan, Peixi Peng
2025	J	`jnl`	LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model. CoRR Xiaodong Wang, Zhirong Wu, Peixi Peng
2025	A*	`conf`	Multi-faceted Complementary Learning for Incomplete Multi-view Multi-label Classification. ACM Multimedia Xinyu Xiao, Peixi Peng, Qiang Wang, Chao Xing, Shuhan Qi
2025	B	`conf`	Optimizing Spectrum Sharing in Low-Altitude Intelligent Networks: A Model-Based Reinforcement Learning Approach. TrustCom Tianle Li, Qingyu Liu, Peixi Peng
2025	J	`jnl`	ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos. CoRR Xiaodong Wang, Peixi Peng
2025	J	`jnl`	Temporal Triplane Transformers as Occupancy World Models. CoRR Haoran Xu, Peixi Peng, Guang Tan, Yiqian Chang, Yisen Zhao, Yonghong Tian
2025	A*	`conf`	Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract). AAAI Zhihang Sun, Shuhan Qi, Xinhao Huang, Xinyu Xiao, Jiajia Zhang, Xuan Wang, Peixi Peng
2025	A*	`conf`	VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning. CVPR Haoran Xu, Peixi Peng, Guang Tan, Yiqian Chang, Luntong Li, Yonghong Tian
2025	A*	`conf`	Visual Reinforcement Learning with Residual Action. AAAI Zhenxian Liu, Peixi Peng, Yonghong Tian
2025	A*	`conf`	When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network. ICML Dong Xiao, Guangyao Chen, Peixi Peng, Yangru Huang, Yifan Zhao, Yongxing Dai, Yonghong Tian
2025	J	`jnl`	When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network. CoRR Dong Xiao, Guangyao Chen, Peixi Peng, Yangru Huang, Yifan Zhao, Yongxing Dai, Yonghong Tian
2024	J	`jnl`	A fuzzy logic constrained particle swarm optimization algorithm for industrial design problems. Appl. Soft Comput. Bo Sun, Peixi Peng, Guang Tan, Mingjun Pan, Luntong Li, Yonghong Tian
2024	A*	`conf`	Adaptive Discovering and Merging for Incremental Novel Class Discovery. AAAI Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian
2024	J	`jnl`	Adaptive Discovering and Merging for Incremental Novel Class Discovery. CoRR Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian
2024	J	`jnl`	CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection. CoRR Mingyi Guo, Yuyang Liu, Zongying Lin, Peixi Peng, Yonghong Tian
2024	J	`jnl`	Cascaded Attention: Adaptive and Gated Graph Attention Network for Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Shuhan Qi, Xinhao Huang, Peixi Peng, Xuzhong Huang, Jiajia Zhang, Xuan Wang
2024	A*	`conf`	DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning. CVPR Haoran Xu, Peixi Peng, Guang Tan, Yuan Li, Xinhai Xu, Yonghong Tian
2024	A*	`conf`	Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction. CVPR Di Wen, Haoran Xu, Zhaocheng He, Zhe Wu, Guang Tan, Peixi Peng
2024	J	`jnl`	Dual modality prompt learning for visual question-grounded answering in robotic surgery. Vis. Comput. Ind. Biomed. Art Yue Zhang, Wanshu Fan, Peixi Peng, Xin Yang, Dongsheng Zhou, Xiaopeng Wei
2024	J	`jnl`	Eye Gaze Guided Cross-Modal Alignment Network for Radiology Report Generation. IEEE J. Biomed. Health Informatics Peixi Peng, Wanshu Fan, Yue Shen, Wenfei Liu, Xin Yang, Qiang Zhang, Xiaopeng Wei, Dongsheng Zhou
2024	J	`jnl`	Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning. CoRR Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian
2024	J	`jnl`	MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. CoRR Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian
2024	B	`conf`	Prior-Posterior Knowledge Prompting-and-Reasoning for Surgical Visual Question Localized-Answering. IJCNN Peixi Peng, Wanshu Fan, Wenfei Liu, Xin Yang, Dongsheng Zhou
2024	A*	`conf`	Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL. NeurIPS Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian
2024	J	`jnl`	Sensitivity Decouple Learning for Image Compression Artifacts Reduction. CoRR Li Ma, Yifan Zhao, Peixi Peng, Yonghong Tian
2024	J	`jnl`	Sensitivity Decouple Learning for Image Compression Artifacts Reduction. IEEE Trans. Image Process. Li Ma, Yifan Zhao, Peixi Peng, Yonghong Tian
2023	A*	`conf`	Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. IJCAI Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian
2023	A*	`conf`	Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning. NeurIPS Yangru Huang, Peixi Peng, Yifan Zhao, Haoran Xu, Mengyue Geng, Yonghong Tian
2023	—	`conf`	Learning Sparse Neural Networks with Identity Layers. ICIG (3) Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian
2023	J	`jnl`	Learning Sparse Neural Networks with Identity Layers. CoRR Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian
2023	A*	`conf`	Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. CVPR Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian
2023	J	`jnl`	Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. CoRR Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian
2023	J	`jnl`	MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control. IEEE Trans. Knowl. Data Eng. Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian
2023	J	`jnl`	Picking Up Quantization Steps for Compressed Image Classification. CoRR Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian
2023	J	`jnl`	Picking Up Quantization Steps for Compressed Image Classification. IEEE Trans. Circuits Syst. Video Technol. Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian
2023	J	`jnl`	Population-Based Evolutionary Gaming for Unsupervised Person Re-identification. CoRR Yunpeng Zhai, Peixi Peng, Mengxi Jia, Shiyong Li, Weiqiang Chen, Xuesong Gao, Yonghong Tian
2023	J	`jnl`	Population-Based Evolutionary Gaming for Unsupervised Person Re-identification. Int. J. Comput. Vis. Yunpeng Zhai, Peixi Peng, Mengxi Jia, Shiyong Li, Weiqiang Chen, Xuesong Gao, Yonghong Tian
2023	—	`conf`	Reinforcement Learning-Based Consensus Reaching in Large-Scale Social Networks. ICONIP (8) Shijun Guo, Haoran Xu, Guangqiang Xie, Di Wen, Yangru Huang, Peixi Peng
2023	A*	`conf`	Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning. ICCV Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian
2023	A*	`conf`	Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation. ICCV Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian
2023	J	`jnl`	Training Full Spike Neural Networks via Auxiliary Accumulation Pathway. CoRR Guangyao Chen, Peixi Peng, Guoqi Li, Yonghong Tian
2022	J	`jnl`	Adversarial Reciprocal Points Learning for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian
2022	J	`jnl`	Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection. CoRR Lantian Xue, Yixiong Zou, Peixi Peng, Yonghong Tian, Tiejun Huang
2022	J	`jnl`	Deep Reinforcement Learning with Spiking Q-learning. CoRR Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian
2022	J	`jnl`	Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection. IEEE Trans. Multim. Chong Zhang, Zongxian Li, Jingjing Liu, Peixi Peng, Qixiang Ye, Shijian Lu, Tie-Jun Huang, Yonghong Tian
2022	A*	`conf`	Spectrum Random Masking for Generalization in Image-based Reinforcement Learning. NeurIPS Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian
2021	—	`conf`	Adaptive Multi-Scale Semantic Fusion Network For Zero-Shot Learning. ICME Workshops Jing Song, Peixi Peng, Yunpeng Zhai, Chong Zhang, Yonghong Tian
2021	J	`jnl`	Adversarial Reciprocal Points Learning for Open Set Recognition. CoRR Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian
2021	Misc	`conf`	Allocating DNN Layers Computation Between Front-End Devices and The Cloud Server for Video Big Data Processing. ICASSP Peiyin Xing, Xiaofei Liu, Peixi Peng, Tiejun Huang, Yonghong Tian
2021	A*	`conf`	Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. ICCV Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian
2021	J	`jnl`	Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. CoRR Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian
2021	—	`conf`	Generate And Adjust: A Novel Framework For Semi-Supervised Pedestrian Attribute Recognition. ICME Workshops Xuebo Shan, Peixi Peng, Yunpeng Zhai, Chong Zhang, Tiejun Huang, Yonghong Tian
2021	J	`jnl`	Model Latent Views With Multi-Center Metric Learning for Vehicle Re-Identification. IEEE Trans. Intell. Transp. Syst. Yi Jin, Chenning Li, Yidong Li, Peixi Peng, George A. Giannopoulos
2021	B	`conf`	Reducing Image Compression Artifacts for Deep Neural Networks. DCC Li Ma, Peixi Peng, Peiyin Xing, Yaowei Wang, Yonghong Tian
2021	J	`jnl`	Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. CoRR Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian
2020	B	`conf`	Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition. DCC Peiyin Xing, Peixi Peng, Yongsheng Liang, Tiejun Huang, Yonghong Tian
2020	A*	`conf`	Discriminative Spatial Feature Learning for Person Re-Identification. ACM Multimedia Peixi Peng, Yonghong Tian, Yangru Huang, Xiangqian Wang, Huilong An
2020	A*	`conf`	Domain Adaptive Attention Learning for Unsupervised Person Re-Identification. AAAI Yangru Huang, Peixi Peng, Yi Jin, Yidong Li, Junliang Xing
2020	—	`conf`	End-Edge-Cloud Collaborative System: A Video Big Data Processing and Analysis Architecture. MIPR Peiyin Xing, Yaowei Wang, Peixi Peng, Yonghong Tian, Tiejun Huang
2020	A*	`conf`	Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations. IJCAI Peixi Peng, Junliang Xing, Lili Cao
2020	—	`conf`	Learning Open Set Network with Discriminative Reciprocal Points. ECCV (3) Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian
2020	J	`jnl`	Learning Open Set Network with Discriminative Reciprocal Points. CoRR Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian
2020	A*	`conf`	Masked Face Recognition with Generative Data Augmentation and Domain Constrained Ranking. ACM Multimedia Mengyue Geng, Peixi Peng, Yangru Huang, Yonghong Tian
2020	A*	`conf`	Masked Face Recognition with Latent Part Detection. ACM Multimedia Feifei Ding, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian
2019	J	`jnl`	Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification. CoRR Yangru Huang, Peixi Peng, Yi Jin, Junliang Xing, Congyan Lang, Songhe Feng
2019	C	`conf`	Joint Learning of Dictionary and Convolutional Network for Pedestrian Attribute Recognition. VCIP Yan Sha, Congyan Lang, Peixi Peng, Junliang Xing, Danxia Li
2019	A*	`conf`	Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game. IJCAI Peixi Peng, Junliang Xing, Lili Cao, Lisen Mu, Chang Huang
2019	A	`conf`	Multi-View Learning for Vehicle Re-Identification. ICME Weipeng Lin, Yidong Li, Xiaoliang Yang, Peixi Peng, Junliang Xing
2019	—	`conf`	Unsupervised Person Re-identification Based on Clustering and Domain-Invariant Network. ICIG (3) Yangru Huang, Yi Jin, Peixi Peng, Congyan Lang, Yidong Li
2019	B	`conf`	Vehicle Re-Identification by Multi-Grain Learni. ICIP Xiaoliang Yang, Congyan Lang, Peixi Peng, Junliang Xing
2018	J	`jnl`	Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration. CoRR Peixi Peng, Junliang Xing, Lu Pang
2018	J	`jnl`	Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning. IEEE Trans. Pattern Anal. Mach. Intell. Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Tiejun Huang
2018	—	`conf`	Visual Tracking via Spatially Aligned Correlation Filters Network. ECCV (3) Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Stephen J. Maybank
2016	—	`conf`	Joint Learning of Semantic and Latent Attributes. ECCV (4) Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Tiejun Huang
2016	A*	`conf`	Unsupervised Cross-Dataset Transfer Learning for Person Re-identification. CVPR Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian
2015	J	`jnl`	Robust multiple cameras pedestrian detection with multi-view Bayesian network. Pattern Recognit. Peixi Peng, Yonghong Tian, Yaowei Wang, Jia Li, Tiejun Huang
2012	A	`conf`	Multi-camera Pedestrian Detection with Multi-view Bayesian Network Model. BMVC Peixi Peng, Yonghong Tian, Yaowei Wang, Tiejun Huang
2012	B	`conf`	Single and Multiple View Detection, Tracking and Video Analysis in Crowded Environments. AVSS Teng Xu, Peixi Peng, Xiaoyu Fang, Chi Su, Yaowei Wang, Yonghong Tian, Wei Zeng, Tiejun Huang
2011	—	`conf`	PKU-NEC @TRECVID2011 SED: Sequence-Based Event Detection in Surveillance Video. TRECVID Xiaoyu Fang, Hongming Zhang, Chi Su, Teng Xu, Feng Wang, Shaopeng Tang, Ziwei Xia, Peixi Peng, Guoyi Liu, Yaowei Wang, Wei Zeng, Yonghong Tian