Peixi Peng

7

Papers

9

Total Citations

Papers (7)

Visual Reinforcement Learning with Residual Action

When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network

Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction

Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction

Adaptive Discovering and Merging for Incremental Novel Class Discovery

VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning

DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning