Zobrazeno 1 - 10
of 62
pro vyhledávání: '"CHEN, XIANG ‘ANTHONY’"'
Autor:
Li, Jiahao Nick, Chong, Toby, Zhou, Zhongyi, Yoshida, Hironori, Yatani, Koji, Chen, Xiang 'Anthony', Igarashi, Takeo
Object pose estimation plays a vital role in mixed-reality interactions when users manipulate tangible objects as controllers. Traditional vision-based object pose estimation methods leverage 3D reconstruction to synthesize training data. However, th
Externí odkaz:
http://arxiv.org/abs/2407.08081
Autor:
Gu, Hongyan, Yang, Chunxu, Magaki, Shino, Zarrin-Khameh, Neda, Lakis, Nelli S., Cobos, Inma, Khanlou, Negar, Zhang, Xinhai R., Assi, Jasmeet, Byers, Joshua T., Hamza, Ameer, Han, Karam, Meyer, Anders, Mirbaha, Hilda, Mohila, Carrie A., Stevens, Todd M., Stone, Sara L., Yan, Wenzhong, Haeri, Mohammad, Chen, Xiang 'Anthony'
As Artificial Intelligence (AI) making advancements in medical decision-making, there is a growing need to ensure doctors develop appropriate reliance on AI to avoid adverse outcomes. However, existing methods in enabling appropriate AI reliance migh
Externí odkaz:
http://arxiv.org/abs/2404.04485
Autor:
Gu, Hongyan, Yan, Zihan, Alvi, Ayesha, Day, Brandon, Yang, Chunxu, Wu, Zida, Magaki, Shino, Haeri, Mohammad, Chen, Xiang 'Anthony'
The expansion of artificial intelligence (AI) in pathology tasks has intensified the demand for doctors' annotations in AI development. However, collecting high-quality annotations from doctors is costly and time-consuming, creating a bottleneck in A
Externí odkaz:
http://arxiv.org/abs/2404.01656
Situationally Induced Impairments and Disabilities (SIIDs) can significantly hinder user experience in contexts such as poor lighting, noise, and multi-tasking. While prior research has introduced algorithms and systems to address these impairments,
Externí odkaz:
http://arxiv.org/abs/2403.04008
Autor:
Aubreville, Marc, Stathonikos, Nikolas, Donovan, Taryn A., Klopfleisch, Robert, Ganz, Jonathan, Ammeling, Jonas, Wilm, Frauke, Veta, Mitko, Jabari, Samir, Eckstein, Markus, Annuscheit, Jonas, Krumnow, Christian, Bozaba, Engin, Cayir, Sercan, Gu, Hongyan, Chen, Xiang 'Anthony', Jahanifar, Mostafa, Shephard, Adam, Kondo, Satoshi, Kasai, Satoshi, Kotte, Sujatha, Saipradeep, VG, Lafarge, Maxime W., Koelzer, Viktor H., Wang, Ziyue, Zhang, Yongbing, Yang, Sen, Wang, Xiyue, Breininger, Katharina, Bertram, Christof A.
Publikováno v:
Medical Image Analysis Volume 94, May 2024, 103155
Recognition of mitotic figures in histologic tumor specimens is highly relevant to patient outcome assessment. This task is challenging for algorithms and human experts alike, with deterioration of algorithmic performance under shifts in image repres
Externí odkaz:
http://arxiv.org/abs/2309.15589
Autor:
Chen, Xiang 'Anthony', Burke, Jeff, Du, Ruofei, Hong, Matthew K., Jacobs, Jennifer, Laban, Philippe, Li, Dingzeyu, Peng, Nanyun, Willis, Karl D. D., Wu, Chien-Sheng, Zhou, Bolei
Through iterative, cross-disciplinary discussions, we define and propose next-steps for Human-centered Generative AI (HGAI). We contribute a comprehensive research agenda that lays out future directions of Generative AI spanning three levels: alignin
Externí odkaz:
http://arxiv.org/abs/2306.15774
Autor:
Chen, Xiang 'Anthony'
To measure how HCI papers are cited across disciplinary boundaries, we collected a citation dataset of CHI, UIST, and CSCW papers published between 2010 and 2020. Our analysis indicates that HCI papers have been more and more likely to be cited by HC
Externí odkaz:
http://arxiv.org/abs/2303.07539
Sighted and blind and low vision (BLV) creators alike use videos to communicate with broad audiences. Yet, video editing remains inaccessible to BLV creators. Our formative study revealed that current video editing tools make it difficult to access t
Externí odkaz:
http://arxiv.org/abs/2302.14117
Autor:
Laban, Philippe, Wu, Chien-Sheng, Murakhovs'ka, Lidiya, Chen, Xiang 'Anthony', Xiong, Caiming
Modern news aggregators do the hard work of organizing a large news stream, creating collections for a given news story with tens of source options. This paper shows that navigating large source collections for a news story can be challenging without
Externí odkaz:
http://arxiv.org/abs/2302.08997
Autor:
Gu, Hongyan, Yang, Chunxu, Haeri, Mohammad, Wang, Jing, Tang, Shirley, Yan, Wenzhong, He, Shujin, Williams, Christopher Kazu, Magaki, Shino, Chen, Xiang 'Anthony'
Artificial Intelligence (AI) brings advancements to support pathologists in navigating high-resolution tumor images to search for pathology patterns of interest. However, existing AI-assisted tools have not realized this promised potential due to a l
Externí odkaz:
http://arxiv.org/abs/2302.07309