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

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

collaborators

5 papers

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.RO20252 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…