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Peixi Peng

30 papers · 2016–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (58) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🀝 Dynamic Duo (17) πŸ† Keyword Champion (2) 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (139)

Venues

AAAI (10) CVPR (8) ICCV (3) IJCAI (3) NeurIPS (3) ECCV (2) ICML (1)

Top co-authors

Yonghong Tian (17) Haoran Xu (10) Yangru Huang (9) Yifan Zhao (7) Guang Tan (6) Guangyao Chen (6) Luntong Li (4) Yiqian Chang (4) Junliang Xing (4) Xuan Wang (3)

Research topics

Artificial Intelligence (14) Core AI (13) Deep Learning (12) Reinforcement Learning (12) Machine Learning (11) Computer Vision (10) Methods (10) Learning Types Β· Deep Learning (8) Analysis (7) Applications (6) Application Areas (5) Learning Types Β· Machine Learning (5) Domain-Specific (3) Learning Paradigms (3) Architectures (2)

Keywords

reinforcement learning (6) visual reinforcement learning (6) autonomous driving (5) representation learning (5) event camera (3) policy learning (3) imitation learning (2) person re-identification (2) multimodal large language model (2) multimodal learning (2) unsupervised learning (2) class-incremental learning (2) data augmentation (2) deep reinforcement learning (2) domain adaptation (2) transfer learning (2) catastrophic forgetting (2) sample efficiency (2) knowledge distillation (2) multi-agent cooperation (2)

Papers

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 Incentivizing Versatile Video Reasoning in MLLMs via Data-Efficient Reinforcement Learning CVPR 2026 LiViBench: An Omnimodal Benchmark for Interactive Livestream Video Understanding AAAI 2026 MER-Tracker: Towards High-Speed 3D Point Tracking via Multi-View Event-RGB Hybrid Cameras CVPR 2026 Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models AAAI 2026 Resolving the Stability-Plasticity Dilemma in Reinforcement Learning via Complementary Continual Critics CVPR 2026 Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction AAAI 2025 Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract) AAAI 2025 Visual Reinforcement Learning with Residual Action 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 Adaptive Discovering and Merging for Incremental Novel Class Discovery AAAI 2024 Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction CVPR 2024 DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning CVPR 2024 Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL NeurIPS 2024 Dynamic Belief for Decentralized Multi-Agent Cooperative Learning IJCAI 2023 Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning NeurIPS 2023 Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning CVPR 2023 Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning ICCV 2023 Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation ICCV 2023 Spectrum Random Masking for Generalization in Image-based Reinforcement Learning NeurIPS 2022 Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain ICCV 2021 Domain Adaptive Attention Learning for Unsupervised Person Re-Identification AAAI 2020 Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations IJCAI 2020 Learning Open Set Network with Discriminative Reciprocal Points ECCV 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