activity
20232026
most citedSoccerNet 2023 Challenges Results

28 citations · 29 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation

Jinghui Lu, Jiayi Guan, Zhijian Huang +47

Chain-of-Thought (CoT) reasoning has become a powerful driver of trajectory prediction in VLA-based autonomous driving, yet its autoregressive nature imposes a latency cost that is…

cs.RO2025

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case

Baihui Xiao, Chengjian Feng, Zhijian Huang +3

Collecting real-world data for rare high-risk scenarios, long-tailed driving events, and complex interactions remains challenging, leading to poor performance of existing autonomou…

cs.CV2025

X-SAM: From Segment Anything to Any Segmentation

Hao Wang, Limeng Qiao, Zequn Jie +6

Large Language Models (LLMs) demonstrate strong capabilities in broad knowledge representation, yet they are inherently deficient in pixel-level perceptual understanding. Although…

cs.CV2024★ 1 cited

RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving

Zhijian Huang, Chengjian Feng, Feng Yan +5

Large Multimodal Models (LMMs) have demonstrated exceptional comprehension and interpretation capabilities in Autonomous Driving (AD) by incorporating large language models. Despit…

cs.CV2024

Making Large Language Models Better Planners with Reasoning-Decision Alignment

Zhijian Huang, Tao Tang, Shaoxiang Chen +5

Data-driven approaches for autonomous driving (AD) have been widely adopted in the past decade but are confronted with dataset bias and uninterpretability. Inspired by the knowledg…

cs.CV2023★ 28 cited

SoccerNet 2023 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +99

The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…