activity
20232026
most citedEvent-Enhanced Multi-Modal Spiking Neural Network for Dynamic Obstacle Avoidance

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MA2026

Rethinking Priority Scheduling for Sequential Multi-Agent Decision Making in Stackelberg Games

Xiangyu Liu, Liang Zhang, Bo Jin +1

Current research applying N-level Stackelberg Game to multi-agent systems often uses the default decision order of agents provided by the environment. However, this raises the ques…

cs.CV20241 cited

Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition

Yang Wang, Haiyang Mei, Qirui Bao +5

We introduce a novel multimodality synergistic knowledge distillation scheme tailored for efficient single-eye motion recognition tasks. This method allows a lightweight, unimodal…

cs.LG2024

Phasic Diversity Optimization for Population-Based Reinforcement Learning

Jingcheng Jiang, Haiyin Piao, Yu Fu +4

Reviewing the previous work of diversity Rein-forcement Learning,diversity is often obtained via an augmented loss function,which requires a balance between reward and diversity.Ge…

cs.CV20241 cited

Exploiting Polarized Material Cues for Robust Car Detection

Wen Dong, Haiyang Mei, Ziqi Wei +4

Car detection is an important task that serves as a crucial prerequisite for many automated driving functions. The large variations in lighting/weather conditions and vehicle densi…

cs.RO20232 cited

Event-Enhanced Multi-Modal Spiking Neural Network for Dynamic Obstacle Avoidance

Yang Wang, Bo Dong, Yuji Zhang +4

Autonomous obstacle avoidance is of vital importance for an intelligent agent such as a mobile robot to navigate in its environment. Existing state-of-the-art methods train a spiki…