Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Vidit Goel"'
Autor:
Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang
Videos typically record the streaming and continuous visual data as discrete consecutive frames. Since the storage cost is expensive for videos of high fidelity, most of them are stored in a relatively low resolution and frame rate. Recent works of S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4d2b98a5c977950f75ffcb4e216aa46
http://arxiv.org/abs/2206.04647
http://arxiv.org/abs/2206.04647
Autor:
Qihan Yang, Somesh Kumar, Qiaoyong Zhong, Fan Feng, Liang Ma, Qi She, Siew-Kei Lam, Gabriele Graffieti, German Ignacio Parisi, Yangsheng Xu, Baoquan Chen, Tin Lun Lam, Eoin Brophy, Chuanlin Lan, Vidit Goel, Lin Yang, Qi Liu, Rosa H. M. Chan, Debdoot Sheet, Shiliang Pu, Di Xie, Lorenzo Pellegrini, Hyonyoung Han, Liguang Zhou, Vincenzo Lomonaco, Zhengwei Wang, Soonyong Song, Davide Maltoni, Heechul Bae, Jianwen Wu, Xinyue Hao, Tomas E. Ward, Duvindu Piyasena, Sathursan Kanagarajah, Meiqing Wu, Young-Sung Son
Publikováno v:
IEEE Robotics & Automation Magazine. 27:11-16
Humans have a remarkable ability to learn continuously from th e environment and inner experience. One of the grand goals of robots is to build an artificial "lifelong learning" agent that can shape a cultivated understanding of the world from the cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26ea5e8210ef6c78f2ba2436e0e0d4c1
https://doi.org/10.1109/mra.2020.2987186
https://doi.org/10.1109/mra.2020.2987186
Autor:
Vidit Goel, Shubhika Garg
Publikováno v:
WACV
In this work we present a novel approach for Unsupervised Video Object Segmentation, that is automatically generating instance level segmentation masks for salient objects and tracking them in a video. We efficiently handle problems present in existi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96a4e35b45d3c39bcb4715cf9890ce83
https://doi.org/10.1109/wacv48630.2021.00172
https://doi.org/10.1109/wacv48630.2021.00172