22 citations · 29 across the 10 of their papers we have counts for
6 papers · 1 filter
AIDE: Agentically Improve Visual Language Model with Domain Experts
Ming-Chang Chiu, Fuxiao Liu, Karan Sapra +5
The enhancement of Visual Language Models (VLMs) has traditionally relied on knowledge distillation from larger, more capable models. This dependence creates a fundamental bottlene…
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models
Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen +1
In vision-language models (VLMs), the ability to perceive and interpret color and physical environment is crucial for achieving contextually accurate understanding and interaction.…
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection
Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo +1
Skin tone as a demographic bias and inconsistent human labeling poses challenges in dermatology AI. We take another angle to investigate color contrast's impact, beyond skin tones,…
VideoPoet: A Large Language Model for Zero-Shot Video Generation
Dan Kondratyuk, Lijun Yu, Xiuye Gu +28
We present VideoPoet, a language model capable of synthesizing high-quality video, with matching audio, from a large variety of conditioning signals. VideoPoet employs a decoder-on…
ColorSense: A Study on Color Vision in Machine Visual Recognition
Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim +2
Color vision is essential for human visual perception, but its impact on machine perception is still underexplored. There has been an intensified demand for understanding its role…
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification
Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma
In this paper, we provide 20,000 non-trivial human annotations on popular datasets as a first step to bridge gap to studying how natural semantic spurious features affect image cla…