3 papers
cs.CV2026
Nuanced Emotion Recognition Based on a Segment-based MLLM Framework Leveraging Qwen3-Omni for AH Detection
Liang Tang, Hongda Li, Jiayu Zhang +5
Emotion recognition in videos is a pivotal task in affective computing, where identifying subtle psychological states such as Ambivalence and Hesitancy holds significant value for…
cs.CV2026
AdaZoom-GUI: Adaptive Zoom-based GUI Grounding with Instruction Refinement
Siqi Pei, Liang Tang, Tiaonan Duan +9
GUI grounding is a critical capability for vision-language models (VLMs) that enables automated interaction with graphical user interfaces by locating target elements from natural…
cs.AI2026
Evolving in Tasks: Empowering the Multi-modality Large Language Model as the Computer Use Agent
Yuhao Cheng, Liang Tang, Shuxian Li +5
Computer use agents represent an emerging area in artificial intelligence, aiming to operate computers autonomously to fulfill user tasks, attracting significant attention from bot…