activity
20232025
most citedTraining A Small Emotional Vision Language Model for Visual Art Comprehension

2 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

EmoSEM: Segment and Explain Emotion Stimuli in Visual Art

Jing Zhang, Dan Guo, Zhangbin Li +1

This paper focuses on a key challenge in visual emotion understanding: given an art image, the model pinpoints pixel regions that trigger a specific human emotion, and generates li…

cs.MM2024★ 2 cited

Patch-level Sounding Object Tracking for Audio-Visual Question Answering

Zhangbin Li, Jinxing Zhou, Jing Zhang +3

Answering questions related to audio-visual scenes, i.e., the AVQA task, is becoming increasingly popular. A critical challenge is accurately identifying and tracking sounding obje…

cs.LG2024★ 2 cited

MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights

Jingjing Hu, Dan Guo, Zhan Si +5

Molecular representation learning plays a crucial role in various downstream tasks, such as molecular property prediction and drug design. To accurately represent molecules, Graph…

cs.CV2024★ 2 cited

Training A Small Emotional Vision Language Model for Visual Art Comprehension

Jing Zhang, Liang Zheng, Meng Wang +1

This paper develops small vision language models to understand visual art, which, given an art work, aims to identify its emotion category and explain this prediction with natural…

cs.CV2023

Object-aware Adaptive-Positivity Learning for Audio-Visual Question Answering

Zhangbin Li, Dan Guo, Jinxing Zhou +2

This paper focuses on the Audio-Visual Question Answering (AVQA) task that aims to answer questions derived from untrimmed audible videos. To generate accurate answers, an AVQA mod…