1 citations · 1 across the 8 of their papers we have counts for
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Tinted Frames: Question Framing Blinds Vision-Language Models
Wan-Cyuan Fan, Jiayun Luo, Declan Kutscher +2
Vision-Language Models (VLMs) have been shown to be blind, often underutilizing their visual inputs even on tasks that require visual reasoning. In this work, we demonstrate that V…
To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models
Jiayun Luo, Wan-Cyuan Fan, Lyuyang Wang +4
Large Vision Language Models (LVLMs) have recently emerged as powerful architectures capable of understanding and reasoning over both visual and textual information. These models t…
MMFactory: A Universal Solution Search Engine for Vision-Language Tasks
Wan-Cyuan Fan, Tanzila Rahman, Leonid Sigal
With advances in foundational and vision-language models, and effective fine-tuning techniques, a large number of both general and special-purpose models have been developed for a…
Response Wide Shut: Surprising Observations in Basic Vision Language Model Capabilities
Shivam Chandhok, Wan-Cyuan Fan, Leonid Sigal
Vision-Language Models (VLMs) have emerged as general purpose tools for addressing a variety of complex computer vision problems. Such models have been shown to be highly capable,…
On Pre-training of Multimodal Language Models Customized for Chart Understanding
Wan-Cyuan Fan, Yen-Chun Chen, Mengchen Liu +2
Recent studies customizing Multimodal Large Language Models (MLLMs) for domain-specific tasks have yielded promising results, especially in the field of scientific chart comprehens…
TAM-VT: Transformation-Aware Multi-scale Video Transformer for Segmentation and Tracking
Raghav Goyal, Wan-Cyuan Fan, Mennatullah Siam +1
Video Object Segmentation (VOS) has emerged as an increasingly important problem with availability of larger datasets and more complex and realistic settings, which involve long vi…