8 citations · 22 across the 21 of their papers we have counts for
7 papers · 1 filter
CrACK: Adversarial Attacks on Cross-Model Consistency in Collaborative Vision Foundation Models
Feifei Liu, Jintao Cheng, Chi Man Vong +1
Training-free collaborative pipelines that integrate Vision Foundation Models such as CLIP, SAM, and DINO achieve strong open-vocabulary dense prediction and are increasingly deplo…
DoublesEval: Diagnosing Multi-Agent Tactical Reasoning in Vision-Language Models via Professional Doubles Badminton
Jintao Cheng, Weibin Li
Visual Language Models (VLMs) excel at describing visible scene content but struggle to reason about dynamic multi-agent interactions, where action semantics depend on coordinated…
Test-Time Prototype Adaptation for Open-Vocabulary Semantic Segmentation
Haozhe Wang, Jintao Cheng, Weibin Li +1
Open-vocabulary semantic segmentation (OVSS) repurposes a pretrained CLIP encoder for dense prediction without additional labeled supervision. Existing methods improve CLIP's spati…
SIPTraj: Map-Free End-to-End Trajectory Prediction via Physics-Guided Scene Interaction
Feifei Liu, Zejun Wei, Haozhe Wang +6
Trajectory prediction of surrounding agents is a prerequisite for safe planning and decision making in autonomous driving. Without high-definition (HD) maps, sensor-derived bird's-…
OptiSAR-Net++: A Large-Scale Benchmark and Transformer-Free Framework for Cross-Domain Remote Sensing Visual Grounding
Xiaoyu Tang, Jun Dong, Jintao Cheng +1
Remote sensing visual grounding (RSVG) aims to localize specific targets in remote sensing images using natural language expressions. However, existing methods are restricted to si…
Training-Free Interaction-Aligned Visual Token Pruning for Efficient Embodied Manipulation
Jintao Cheng, Weibin Li, Haozhe Wang +7
Efficient visual representation is a central image-processing challenge in embodied manipulation, where policies repeatedly process dense visual-token sequences during closed-loop…
Decoding Ambiguous Emotions with Test-Time Scaling in Audio-Language Models
Hong Jia, Weibin Li, Jingyao Wu +6
Emotion recognition from human speech is a critical enabler for socially aware conversational AI. However, while most prior work frames emotion recognition as a categorical classif…