1 citations · 1 across the 6 of their papers we have counts for
7 papers
Reshaping Rollout Workloads for Asynchronous RL Post-Training on Heterogeneous Accelerators
Jiahui Li, Hao Nie, Yibo Zhu +5
Reinforcement learning (RL) post-training increasingly relies on long-horizon, multi-turn rollouts. As post-training jobs outgrow a single cluster, rollout pools assembled across c…
SoccerNet 2025 Challenges Results
Silvio Giancola, Anthony Cioppa, Marc Gutiérrez-Pérez +115
The SoccerNet 2025 Challenges mark the fifth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in football video understandi…
SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation
Hao Ye, Mengshi Qi, Zhaohong Liu +2
In this work, we study how vision-language models (VLMs) can be utilized to enhance the safety for the autonomous driving system, including perception, situational understanding, a…
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving
Yuxin Lin, Mengshi Qi, Liang Liu +1
In this paper, we propose a novel approach for solving the Visual Question Answering (VQA) task in autonomous driving by integrating Vision-Language Models (VLMs) with continual le…
Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving
Dacheng Liao, Mengshi Qi, Liang Liu +1
In current open real-world autonomous driving scenarios, challenges such as sensor failure and extreme weather conditions hinder the generalization of most autonomous driving perce…
T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving
Changsheng Lv, Mengshi Qi, Liang Liu +1
Understanding the traffic scenes and then generating high-definition (HD) maps present significant challenges in autonomous driving. In this paper, we defined a novel Traffic Topol…
Frequency-based Matcher for Long-tailed Semantic Segmentation
Shan Li, Lu Yang, Pu Cao +2
The successful application of semantic segmentation technology in the real world has been among the most exciting achievements in the computer vision community over the past decade…