2 citations · 3 across the 25 of their papers we have counts for
11 papers · 1 filter
LAST: Bridging Vision-Language and Action Manifolds via Gromov-Wasserstein Alignment
Huaihai Lyu, Chaofan Chen, Yuheng Ji +4
We take a Gromov-Wasserstein perspective on Vision-Language-Action (VLA) learning, where the goal is to make the relational geometry of action representations compatible with the s…
General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling
Huaihai Lyu, Chaofan Chen, Mingyu Cao +2
Achieving robust generalization from limited data is a central challenge in embodied intelligence. Prevailing methods fail by regressing absolute coordinates, which violates the pr…
Towards Cross-View Point Correspondence in Vision-Language Models
Yipu Wang, Yuheng Ji, Yuyang Liu +10
Cross-view correspondence is a fundamental capability for spatial understanding and embodied AI. However, it is still far from being realized in Vision-Language Models (VLMs), espe…
Scaling Up AI-Generated Image Detection with Generator-Aware Prototypes
Ziheng Qin, Yuheng Ji, Renshuai Tao +4
The pursuit of a universal AI-generated image (AIGI) detector often relies on aggregating data from numerous generators to improve generalization. However, this paper identifies a…
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…
EgoPrompt: Prompt Learning for Egocentric Action Recognition
Huaihai Lyu, Chaofan Chen, Yuheng Ji +1
Driven by the increasing demand for applications in augmented and virtual reality, egocentric action recognition has emerged as a prominent research area. It is typically divided i…
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…
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…
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…
Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models
Huajie Tan, Yuheng Ji, Xiaoshuai Hao +4
Visual reasoning abilities play a crucial role in understanding complex multimodal data, advancing both domain-specific applications and artificial general intelligence (AGI). Exis…
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…