activity
20242026
most citedMSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

PRM-as-a-Judge: A Dense Evaluation Paradigm for Fine-Grained Robotic Auditing

Yuheng Ji, Yuyang Liu, Huajie Tan +15

Current robotic evaluation is still largely dominated by binary success rates, which collapse rich execution processes into a single outcome and obscure critical qualities such as…

cs.CV2025

MathSticks: A Benchmark for Visual Symbolic Compositional Reasoning with Matchstick Puzzles

Yuheng Ji, Huajie Tan, Cheng Chi +8

We introduce \textsc{MathSticks}, a benchmark for Visual Symbolic Compositional Reasoning (VSCR), which unifies visual perception, symbolic manipulation, and arithmetic consistency…

cs.CV2025

VisualTrans: A Benchmark for Real-World Visual Transformation Reasoning

Yuheng Ji, Yipu Wang, Yuyang Liu +5

Visual transformation reasoning (VTR) is a vital cognitive capability that empowers intelligent agents to understand dynamic scenes, model causal relationships, and predict future…

cs.CV2025

What Really Matters for Robust Multi-Sensor HD Map Construction?

Xiaoshuai Hao, Yuting Zhao, Yuheng Ji +5

High-definition (HD) map construction methods are crucial for providing precise and comprehensive static environmental information, which is essential for autonomous driving system…

cs.CV2025

FastRSR: Efficient and Accurate Road Surface Reconstruction from Bird's Eye View

Yuting Zhao, Yuheng Ji, Xiaoshuai Hao +1

Road Surface Reconstruction (RSR) is crucial for autonomous driving, enabling the understanding of road surface conditions. Recently, RSR from the Bird's Eye View (BEV) has gained…

cs.RO2025★ 2 cited

MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception

Xiaoshuai Hao, Guanqun Liu, Yuting Zhao +6

Multi-sensor fusion models play a crucial role in autonomous driving perception, particularly in tasks like 3D object detection and HD map construction. These models provide essent…

cs.CV2024★ 1 cited

Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation

Yuheng Ji, Yue Liu, Zhicheng Zhang +6

Vision-Language Models (VLMs) play a crucial role in the advancement of Artificial General Intelligence (AGI). As AGI rapidly evolves, addressing security concerns has emerged as o…