Ming-Chang Chiu

According to our database, Ming-Chang Chiu authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models.

Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen, Xuezhe Ma

CoRR, 2024

Behavioral Bias of Vision-Language Models: A Behavioral Finance View.

Yuhang Xiao, Yudi Lin, Ming-Chang Chiu

CoRR, 2024

VideoPoet: A Large Language Model for Zero-Shot Video Generation.

Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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, Pin-Yu Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification.

Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study.

Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma

CoRR, 2022

Better May Not Be Fairer: Can Data Augmentation Mitigate Subgroup Degradation?

Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma

CoRR, 2022

Learning Representations Robust to Group Shifts and Adversarial Examples.

Ming-Chang Chiu, Xuezhe Ma

CoRR, 2022

2020

Automated Empathy Detection for Oncology Encounters.

Zhuohao Chen, James Gibson, Ming-Chang Chiu, Qiaohong Hu, Tara K. Knight, Daniella Meeker, James A. Tulsky, Kathryn I. Pollak, Shrikanth Narayanan

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Screenplay Quality Assessment: Can We Predict Who Gets Nominated?

Ming-Chang Chiu, Tiantian Feng, Xiang Ren, Shrikanth Narayanan

Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, 2020

2019

A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project.

Victor R. Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth S. Narayanan

CoRR, 2019

A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPA's LORELEI project.

Victor R. Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth S. Narayanan

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019