1 citations · 1 across the 1 of their papers we have counts for
5 papers
TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Xinyu Wei, Jinrui Zhang, Zeqing Wang +4
The rapid advancements of Text-to-Image (T2I) models have ushered in a new phase of AI-generated content, marked by their growing ability to interpret and follow user instructions.…
From Pixels to Concepts: Do Segmentation Models Understand What They Segment?
Shuang Liang, Zeqing Wang, Yuxian Li +2
Segmentation is a fundamental vision task underlying numerous downstream applications. Recent promptable segmentation models, such as Segment Anything Model 3 (SAM3), extend segmen…
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models
Zeqing Wang, Shiyuan Zhang, Chengpei Tang +1
Reasoning about temporal causality, particularly irreversible transformations of objects governed by real-world knowledge (e.g., fruit decay and human aging), is a fundamental aspe…
Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering
Zeqing Wang, Wentao Wan, Qiqing Lao +5
Recently, to comprehensively improve Vision Language Models (VLMs) for Visual Question Answering (VQA), several methods have been proposed to further reinforce the inference capabi…
Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body
Zeqing Wang, Qingyang Ma, Wentao Wan +3
Recent improvements in visual synthesis have significantly enhanced the depiction of generated human photos, which are pivotal due to their wide applicability and demand. Nonethele…