7 citations · 7 across the 5 of their papers we have counts for
6 papers
AutoFocus: Uncertainty-Aware Active Visual Search for GUI Grounding
Ruilin Yao, Shegnwu Xiong, Tianyu Zou +2
Vision-Language Models (VLMs) have enabled autonomous GUI agents that translate natural language instructions into executable screen coordinates. However, grounding performance deg…
MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook
Peng Xu, Shengwu Xiong, Jiajun Zhang +125
This paper reviews the MARS2 2025 Challenge on Multimodal Reasoning. We aim to bring together different approaches in multimodal machine learning and LLMs via a large benchmark. We…
Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation
Tianyu Zou, Shengwu Xiong, Ruilin Yao +1
This paper studies the few-shot segmentation (FSS) task, which aims to segment objects belonging to unseen categories in a query image by learning a model on a small number of well…
Aligning MLLM Benchmark With Human Preferences via Structural Equation Modeling
Shengwu. Xiong, Tianyu. Zou, Cong. Wang +1
Evaluating multimodal large language models (MLLMs) is fundamentally challenged by the absence of structured, interpretable, and theoretically grounded benchmarks; current heuristi…
LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models
Ruilin Yao, Bo Zhang, Jirui Huang +18
Multimodal Large Language Models (MLLMs) have achieved significant advances in integrating visual and linguistic information, yet their ability to reason about complex and real-wor…
Neural Pose Transfer by Spatially Adaptive Instance Normalization
Jiashun Wang, Chao Wen, Yanwei Fu +4
Pose transfer has been studied for decades, in which the pose of a source mesh is applied to a target mesh. Particularly in this paper, we are interested in transferring the pose o…