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Peixi Peng

27 papers · 2016–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (9) 🌍 Conference Polyglot (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (56) 🀝 Dynamic Duo (15) 🧬 Topic Evolution πŸ”₯ Unstoppable (8) ⚑ Prolific Year (5) πŸ’Ž Century Club (22) πŸ—ƒοΈ Keyword Collector (126) πŸš€ Conference Pioneer

Conferences

AAAI (10) CVPR (5) ICCV (3) IJCAI (3) NIPS (3) ECCV (2) ICML (1)

Top co-authors

Yonghong Tian (16) Yangru Huang (9) Haoran Xu (8) Yifan Zhao (7) Guangyao Chen (6) Guang Tan (5) Junliang Xing (4) Yunpeng Zhai (3) Luntong Li (3) Zhenxian Liu (3)

Keywords

visual reinforcement learning (6) representation learning (5) autonomous driving (4) reinforcement learning (4) policy learning (3) vision-based reinforcement learning (2) imitation learning (2) frequency domain (2) person re-identification (2) unsupervised learning (2) class-incremental learning (2) sample efficiency (2) deep reinforcement learning (2) transfer learning (2) domain adaptation (2) knowledge distillation (2) multi-agent cooperation (2) data augmentation (2) variational inference (1) domain generalization (1)

Papers

Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models AAAI 2026 BulletTime4D: Towards High Spatio-Temporal Resolution Dynamic Scene Rendering via Spike-Guided Stereo Vision AAAI 2026 COVR: Collaborative Optimization of VLMs and RL Agent for Visual-Based Control AAAI 2026 Fine-flow Distilling Coarse-flow Video Generation for Long-Term Driving World Model AAAI 2026 LiViBench: An Omnimodal Benchmark for Interactive Livestream Video Understanding AAAI 2026 Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction AAAI 2025 Visual Reinforcement Learning with Residual Action AAAI 2025 Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract) AAAI 2025 VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning CVPR 2025 When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network ICML 2025 DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning CVPR 2024 Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction CVPR 2024 Adaptive Discovering and Merging for Incremental Novel Class Discovery AAAI 2024 Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL NIPS 2024 Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning CVPR 2023 Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning NIPS 2023 Dynamic Belief for Decentralized Multi-Agent Cooperative Learning IJCAI 2023 Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation ICCV 2023 Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning ICCV 2023 Spectrum Random Masking for Generalization in Image-based Reinforcement Learning NIPS 2022 Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain ICCV 2021 Learning Open Set Network with Discriminative Reciprocal Points ECCV 2020 Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations IJCAI 2020 Domain Adaptive Attention Learning for Unsupervised Person Re-Identification AAAI 2020 Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game IJCAI 2019 Visual Tracking via Spatially Aligned Correlation Filters Network ECCV 2018 Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification CVPR 2016