8 papers · 1 filter
CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration
Hairui Zhu, Yiying Yang, Tengjin Weng +5
Complex image creation and editing often require more than a single generation or editing model. A user request may involve synthesizing images, localizing objects, segmenting regi…
EmoTrans: A Benchmark for Understanding, Reasoning, and Predicting Emotion Transitions in Multimodal LLMs
He Hu, Tengjin Weng, Zebang Cheng +5
Recent multimodal large language models (MLLMs) have shown strong capabilities in perception, reasoning, and generation, and are increasingly used in applications such as social ro…
OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models
Tengjin Weng, Wenhao Jiang, Jingyi Wang +3
Multimodal large language models (MLLMs) have achieved remarkable performance across a wide range of vision language tasks. However, their ability in low-level visual perception, p…
LlamaSeg: Image Segmentation via Autoregressive Mask Generation
Jiru Deng, Tengjin Weng, Tianyu Yang +3
We present \textbf{LlamaSeg}, a visual autoregressive framework that unifies multiple image segmentation tasks via natural language instructions. By reformulating segmentation as v…
VisNumBench: Evaluating Number Sense of Multimodal Large Language Models
Tengjin Weng, Jingyi Wang, Wenhao Jiang +1
Can Multimodal Large Language Models (MLLMs) develop an intuitive number sense similar to humans? Targeting this problem, we introduce Visual Number Benchmark (VisNumBench) to eval…
PMP-Swin: Multi-Scale Patch Message Passing Swin Transformer for Retinal Disease Classification
Zhihan Yang, Zhiming Cheng, Tengjin Weng +4
Retinal disease is one of the primary causes of visual impairment, and early diagnosis is essential for preventing further deterioration. Nowadays, many works have explored Transfo…