Peng, Peixi

25 publications

AAAI 2025 Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction Haoran Xu, Peixi Peng, Xinyi Zhang, Guang Tan, Yaokun Li, Shuaixian Wang, Luntong Li

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

AAAI 2025 Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract) Zhihang Sun, Shuhan Qi, Xinhao Huang, Xinyu Xiao, Jiajia Zhang, Xuan Wang, Peixi Peng

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

CVPR 2024 Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction Di Wen, Haoran Xu, Zhaocheng He, Zhe Wu, Guang Tan, Peixi Peng

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

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

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

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

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

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

AAAI 2020 Domain Adaptive Attention Learning for Unsupervised Person Re-Identification Yangru Huang, Peixi Peng, Yi Jin, Yidong Li, Junliang Xing

IJCAI 2020 Hybrid Learning for Multi-Agent Cooperation with Sub-Optimal Demonstrations Peixi Peng, Junliang Xing, Lili Cao

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

IJCAI 2019 Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game Peixi Peng, Junliang Xing, Lili Cao, Lisen Mu, Chang Huang

ECCV 2018 Visual Tracking via Spatially Aligned Correlation Filters Network Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Steve Maybank

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