1 code implementation • 24 Jan 2024 • Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen
We take another angle to investigate color contrast's impact, beyond skin tones, on malignancy detection in skin disease datasets: We hypothesize that in addition to skin tones, the color difference between the lesion area and skin also plays a role in malignancy detection performance of dermatology AI models.
no code implementations • 21 Dec 2023 • 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, Josh 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
We present VideoPoet, a language model capable of synthesizing high-quality video, with matching audio, from a large variety of conditioning signals.
Ranked #3 on Text-to-Video Generation on MSR-VTT
no code implementations • 16 Dec 2022 • Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma
It is well established in neuroscience that color vision plays an essential part in the human visual perception system.
1 code implementation • ICCV 2023 • 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 classification, as prior works often study datasets mixing low-level features due to limitations in accessing realistic datasets.
no code implementations • 18 Feb 2022 • Ming-Chang Chiu, Xuezhe Ma
Despite the high performance achieved by deep neural networks on various tasks, extensive studies have demonstrated that small tweaks in the input could fail the model predictions.
no code implementations • WS 2020 • Ming-Chang Chiu, Tiantian Feng, Xiang Ren, Shrikanth Narayanan
Toward that goal, in this work, we present a method to evaluate the quality of a screenplay based on linguistic cues.
no code implementations • 1 May 2019 • Victor R. Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth Narayanan
In this work, we describe our submission for the 2019 Sentiment, Emotion and Cognitive state (SEC) pilot task of the LORELEI project.