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20232026
most citedRewrite the Stars

11 citations · 11 across the 12 of their papers we have counts for

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cs.CV2026

Beyond Atomic Layouts: Compositional Design Understanding with Vision-Language Models

Yiyang Huang, Zhaowen Wang, Simon Jenni +4

Layout understanding, or the interpretation of element organization, is essential for document analysis, user interface (UI) creation, and graphic design. While recent vision-langu…

cs.CV2026

Hierarchical Visual Agent: Managing Contexts in Joint Image-Text Space for Advanced Chart Reasoning

Qihua Dong, Ruozhen He, Junwen Chen +4

Advanced chart question answering requires both precise perception of small visual elements and multi-step reasoning across several subplots. While existing MLLMs are strong at und…

cs.CV2026

Distorted or Fabricated? A Survey on Hallucination in Video LLMs

Yiyang Huang, Yitian Zhang, Yizhou Wang +4

Despite significant progress in video-language modeling, hallucinations remain a persistent challenge in Video Large Language Models (Vid-LLMs), referring to outputs that appear pl…

cs.CV2026

Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks

Qihua Dong, Kuo Yang, Lin Ju +6

Referring Expression Comprehension (REC) links language to region level visual perception. Standard benchmarks (RefCOCO, RefCOCO+, RefCOCOg) have progressed rapidly with multimodal…

cs.CV2025

D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition

Yiyang Huang, Yizhou Wang, Yun Fu

Video large language models (Vid-LLMs), which excel in diverse video-language tasks, can be effectively constructed by adapting image-pretrained vision-language models (VLMs). Howe…

cs.CV2024

Towards Zero-shot 3D Anomaly Localization

Yizhou Wang, Kuan-Chuan Peng, Yun Fu

3D anomaly detection and localization is of great significance for industrial inspection. Prior 3D anomaly detection and localization methods focus on the setting that the testing…

cs.CV2024

Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models

Zhawnen Chen, Tianchun Wang, Yizhou Wang +4

Can large multimodal models have a human-like ability for emotional and social reasoning, and if so, how does it work? Recent research has discovered emergent theory-of-mind (ToM)…

cs.CV2024★ 11 cited

Rewrite the Stars

Xu Ma, Xiyang Dai, Yue Bai +2

Recent studies have drawn attention to the untapped potential of the "star operation" (element-wise multiplication) in network design. While intuitive explanations abound, the foun…

cs.CV2024

Don't Judge by the Look: Towards Motion Coherent Video Representation

Yitian Zhang, Yue Bai, Huan Wang +2

Current training pipelines in object recognition neglect Hue Jittering when doing data augmentation as it not only brings appearance changes that are detrimental to classification,…

cs.CV2023

VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding

Yizhou Wang, Ruiyi Zhang, Haoliang Wang +3

Recent advancements in language-model-based video understanding have been progressing at a remarkable pace, spurred by the introduction of Large Language Models (LLMs). However, th…