Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Kristen Grauman"'
Autor:
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M.R. Arnold, Ese Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
Publikováno v:
Neural Networks. 160:274-296
Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks encountered by the deployed systems will not be limited to the original t
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:6602-6604
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:2153-2159
We propose to model relative attributes that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can capture that animal A is 'furrier' than animal B, or image X is 'brighter' tha
Publikováno v:
International Journal of Computer Vision. 129:1616-1649
Embodied computer vision considers perception for robots in novel, unstructured environments. Of particular importance is the embodied visual exploration problem: how might a robot equipped with a camera scope out a new environment? Despite the progr
Autor:
Kristen Grauman, Ziad Al-Halah
Publikováno v:
IEEE Transactions on Multimedia. 23:4143-4157
The evolution of clothing styles and their migration across the world is intriguing, yet difficult to describe quantitatively. We propose to discover and quantify fashion influences from catalog and social media photos. We explore fashion influence a
Autor:
Kristen Grauman, Aron Yu
Publikováno v:
International Journal of Computer Vision. 128:2704-2730
Detecting subtle differences in visual attributes requires inferring which of two images exhibits a property more, e.g., which face is smiling slightly more, or which shoe is slightly more sporty. While valuable for applications ranging from biometri
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197772
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1376a69f7a27239910dd1fba97e169f0
https://doi.org/10.1007/978-3-031-19778-9_36
https://doi.org/10.1007/978-3-031-19778-9_36
Autor:
Sagnik Majumder, Kristen Grauman
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13160891ad9f1083653f0e2bf37667a8
https://doi.org/10.1007/978-3-031-19842-7_32
https://doi.org/10.1007/978-3-031-19842-7_32
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41:2677-2692
We propose an end-to-end learning framework for segmenting generic objects in both images and videos. Given a novel image or video, our approach produces a pixel-level mask for all "object-like" regions---even for object categories never seen during
Autor:
Yu-Chuan, Su, Kristen, Grauman
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(11)
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