Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tatiana Khanova"'
Autor:
Grigory Serebryakov, Anna Petrovicheva, Alexander Smorkalov, Tatiana Khanova, Maxim Zemlyanikin
Publikováno v:
ICCV Workshops
Small factor and ultra-low power devices are becoming more and more smart and capable even for deep learning network inference. And as the devices are "small", the challenge is becoming tougher. This paper covers full development and deployment pipel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d1e0b3f8d8b9da410e5c7bf26eb1493
https://doi.org/10.1109/iccvw.2019.00305
https://doi.org/10.1109/iccvw.2019.00305
Autor:
Tatiana Khanova, Dmitriy Anisimov
Publikováno v:
AVSS
We propose model with larger spatial size of feature maps and evaluate it on object detection task. With the goal to choose the best feature extraction network for our model we compare several popular lightweight networks. After that we conduct a set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61db5eecf5add9dde85ed0845d098361
http://arxiv.org/abs/1707.01395
http://arxiv.org/abs/1707.01395
Autor:
Yingbin Zheng, Tao Hu, Guang Han, Sitapa Rujikietgumjorn, Liang Wang, Longyin Wen, Yongzhen Huang, Yi Wei, Kannappan Palaniappan, Tatiana Khanova, Hong Wang, Martin Lauer, Fabio Galasso, Koray Ozcan, Xiaoyi Yu, Yao Lu, Wei Tian, Thomas Sikora, Dmitriy Anisimov, Filiz Bunyak, Pierluigi Carcagnì, Erik Bochinski, Li Wang, Xiangyang Xue, Lipeng Ke, Yuezun Li, Marco Del Coco, Nattachai Watcharapinchai, Sikandar Amin, Nenghui Song, Noor M. Al-Shakarji, Hao Ye, Volker Eiselein, Tino Kutschbach, Shuo Wang, Yuqi Zhang, Dawei Du, Ming-Ching Chang, Siwei Lyu, Honggang Qi
Publikováno v:
AVSS
The rapid advances of transportation infrastructure have led to a dramatic increase in the demand for smart systems capable of monitoring traffic and street safety. Fundamental to these applications are a community-based evaluation platform and bench
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f3607721dbdd77e70403d7adbfdd0e5
http://hdl.handle.net/11573/1317829
http://hdl.handle.net/11573/1317829
Autor:
Angela Dai, Tatiana Khanova, Armen Avetisyan, Christopher Choy, Matthias Nießner, Denver Dash
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2020
Computer Vision – ECCV 2020 ISBN: 9783030585419
ECCV (22)
Lecture Notes in Computer Science-Computer Vision – ECCV 2020
Computer Vision – ECCV 2020 ISBN: 9783030585419
ECCV (22)
We present a novel approach to reconstructing lightweight, CAD-based representations of scanned 3D environments from commodity RGB-D sensors. Our key idea is to jointly optimize for both CAD model alignments as well as layout estimations of the scann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0908e95391f5da5ce717c54a14f4e660