2 citations · 2 across the 3 of their papers we have counts for
4 papers
When Depth Lies: Benchmarking Vision-Language Models on Mirror-Induced RGB-D Ambiguity
Hao Yin, Tianchen Guo, Heming Du +3
Vision-language models (VLMs) have made significant progress in spatial reasoning, particularly by integrating RGB images with depth data, which is often assumed to faithfully refl…
SSMNBench: Diagnosing Image-based Cross-View Human-Object Understanding via Single-View Sufficiency and Multi-View Necessity
Tianchen Guo, Chen Liu, Ling Chen +1
Multimodal Large Language Models (MLLMs) have shown remarkable progress in single-image perception, yet their ability to reason about complex cross-view human-centric scenes remain…
A Large-scale Investigation of Semantically Incompatible APIs behind Compatibility Issues in Android Apps
Shidong Pan, Tianchen Guo, Lihong Zhang +3
Application Programming Interface (API) incompatibility is a long-standing issue in Android application development. The rapid evolution of Android APIs results in a significant nu…
Affective Behaviour Analysis via Integrating Multi-Modal Knowledge
Wei Zhang, Feng Qiu, Chen Liu +4
Affective Behavior Analysis aims to facilitate technology emotionally smart, creating a world where devices can understand and react to our emotions as humans do. To comprehensivel…