Zobrazeno 1 - 10
of 25 943
pro vyhledávání: '"Crandall A"'
Autor:
Xu, Zhengtong, Uppuluri, Raghava, Zhang, Xinwei, Fitch, Cael, Crandall, Philip Glen, Shou, Wan, Wang, Dongyi, She, Yu
UniT is a novel approach to tactile representation learning, using VQVAE to learn a compact latent space and serve as the tactile representation. It uses tactile images obtained from a single simple object to train the representation with transferabi
Externí odkaz:
http://arxiv.org/abs/2408.06481
This short paper presents preliminary research on the Case-Enhanced Vision Transformer (CEViT), a similarity measurement method aimed at improving the explainability of similarity assessments for image data. Initial experimental results suggest that
Externí odkaz:
http://arxiv.org/abs/2407.16981
Autor:
Daymude, Joshua J., Espinoza, Antonio M., Bergen, Sean, Mixon-Baca, Benjamin, Knockel, Jeffrey, Crandall, Jedidiah R.
The battle for a more secure Internet is waged on many fronts, including the most basic of networking protocols. Our focus is the IPv4 Identifier (IPID), an IPv4 header field as old as the Internet with an equally long history as an exploited side ch
Externí odkaz:
http://arxiv.org/abs/2406.06483
Publikováno v:
Clinical Ophthalmology, Vol Volume 12, Pp 2553-2561 (2018)
Sarah Farukhi Ahmed,1 Kyle C McDermott,2 Wesley K Burge,2 I Ike K Ahmed,3,4 Devesh K Varma,3 Y Joyce Liao,5 Alan S Crandall,4 S Khizer R Khaderi2,61Shiley Eye Institute of Ophthalmology, University of California, San Diego, CA, USA; 2Vizzario, Inc.,
Externí odkaz:
https://doaj.org/article/899e0ca97ed44db0896debb6def06ac2
Autor:
Vats, Vibhas K, Crandall, David J
Stereophotogrammetry is an emerging technique of scene understanding. Its origins go back to at least the 1800s when people first started to investigate using photographs to measure the physical properties of the world. Since then, thousands of appro
Externí odkaz:
http://arxiv.org/abs/2403.12431
Autor:
Xue, Diwen, Ramesh, Reethika, Jain, Arham, Kallitsis, Michalis, Halderman, J. Alex, Crandall, Jedidiah R., Ensafi, Roya
Publikováno v:
31st USENIX Security Symposium (USENIX Security 22). 2022
VPN adoption has seen steady growth over the past decade due to increased public awareness of privacy and surveillance threats. In response, certain governments are attempting to restrict VPN access by identifying connections using "dual use" DPI tec
Externí odkaz:
http://arxiv.org/abs/2403.03998
Autor:
Amouretti, A., Crépisson, C., Azadi, S., Cabaret, D., Campbell, T., Chin, D. A., Colin, B., Collins, G. R., Crandall, L., Fiquet, G., Forte, A., Gawne, T., Guyot, F., Heighway, P., Lee, H., McGonegle, D., Nagler, B., Pintor, J., Polsin, D., Rousse, G., Shi, Y., Smith, E., Wark, J. S., Vinko, S. M., Harmand, M.
We present in-situ x-ray diffraction and velocity measurements of Fe$_2$O$_3$ under laser shock compression at pressures between 38-116 GPa. None of the phases reported by static compression studies were observed. Instead, we observed an isostructura
Externí odkaz:
http://arxiv.org/abs/2402.18432
Autor:
Shah, Ketul, Crandall, Robert, Xu, Jie, Zhou, Peng, George, Marian, Bansal, Mayank, Chellappa, Rama
Videos captured from multiple viewpoints can help in perceiving the 3D structure of the world and benefit computer vision tasks such as action recognition, tracking, etc. In this paper, we present a method for self-supervised learning from synchroniz
Externí odkaz:
http://arxiv.org/abs/2401.15900
Autor:
Grauman, Kristen, Westbury, Andrew, Torresani, Lorenzo, Kitani, Kris, Malik, Jitendra, Afouras, Triantafyllos, Ashutosh, Kumar, Baiyya, Vijay, Bansal, Siddhant, Boote, Bikram, Byrne, Eugene, Chavis, Zach, Chen, Joya, Cheng, Feng, Chu, Fu-Jen, Crane, Sean, Dasgupta, Avijit, Dong, Jing, Escobar, Maria, Forigua, Cristhian, Gebreselasie, Abrham, Haresh, Sanjay, Huang, Jing, Islam, Md Mohaiminul, Jain, Suyog, Khirodkar, Rawal, Kukreja, Devansh, Liang, Kevin J, Liu, Jia-Wei, Majumder, Sagnik, Mao, Yongsen, Martin, Miguel, Mavroudi, Effrosyni, Nagarajan, Tushar, Ragusa, Francesco, Ramakrishnan, Santhosh Kumar, Seminara, Luigi, Somayazulu, Arjun, Song, Yale, Su, Shan, Xue, Zihui, Zhang, Edward, Zhang, Jinxu, Castillo, Angela, Chen, Changan, Fu, Xinzhu, Furuta, Ryosuke, Gonzalez, Cristina, Gupta, Prince, Hu, Jiabo, Huang, Yifei, Huang, Yiming, Khoo, Weslie, Kumar, Anush, Kuo, Robert, Lakhavani, Sach, Liu, Miao, Luo, Mi, Luo, Zhengyi, Meredith, Brighid, Miller, Austin, Oguntola, Oluwatumininu, Pan, Xiaqing, Peng, Penny, Pramanick, Shraman, Ramazanova, Merey, Ryan, Fiona, Shan, Wei, Somasundaram, Kiran, Song, Chenan, Southerland, Audrey, Tateno, Masatoshi, Wang, Huiyu, Wang, Yuchen, Yagi, Takuma, Yan, Mingfei, Yang, Xitong, Yu, Zecheng, Zha, Shengxin Cindy, Zhao, Chen, Zhao, Ziwei, Zhu, Zhifan, Zhuo, Jeff, Arbelaez, Pablo, Bertasius, Gedas, Crandall, David, Damen, Dima, Engel, Jakob, Farinella, Giovanni Maria, Furnari, Antonino, Ghanem, Bernard, Hoffman, Judy, Jawahar, C. V., Newcombe, Richard, Park, Hyun Soo, Rehg, James M., Sato, Yoichi, Savva, Manolis, Shi, Jianbo, Shou, Mike Zheng, Wray, Michael
We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and exocentric video of skilled human activities (e.g., sports, music, dance, bike re
Externí odkaz:
http://arxiv.org/abs/2311.18259
Publikováno v:
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024
Traditional multi-view stereo (MVS) methods rely heavily on photometric and geometric consistency constraints, but newer machine learning-based MVS methods check geometric consistency across multiple source views only as a post-processing step. In th
Externí odkaz:
http://arxiv.org/abs/2310.19583