Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Aneeshan Sain"'
Publikováno v:
2022 IEEE International Conference on Visual Communications and Image Processing (VCIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::224522414f3c97590195687a8606a5db
https://doi.org/10.1109/vcip56404.2022.10008880
https://doi.org/10.1109/vcip56404.2022.10008880
Autor:
Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song
Publikováno v:
Rohit Kundu
The human visual system is remarkable in learning new visual concepts from just a few examples. This is precisely the goal behind few-shot class incremental learning (FSCIL), where the emphasis is additionally placed on ensuring the model does not su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27d26b3de3d2717111c6f731281528ac
https://doi.org/10.1109/cvpr52688.2022.00233
https://doi.org/10.1109/cvpr52688.2022.00233
Autor:
Partha Pratim Roy, Ankan Kumar Bhunia, Aneeshan Sain, Ayan Kumar Bhunia, Subham Mukherjee, Umapada Pal
Publikováno v:
Information Fusion. 57:1-14
In this paper, we propose a novel approach of word-level Indic script identification using only character-level data in training stage. Our method uses a multi-modal deep network which takes both offline and online modality of the data as input in or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f18fbf836b8b393cc2fd231b2049d21
https://doi.org/10.1016/j.inffus.2019.10.010
https://doi.org/10.1016/j.inffus.2019.10.010
Autor:
Ayan Kumar Bhunia, Aneeshan Sain, Parth Hiren Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198359
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba3bb9f6f059e9deb4a961fbcb121c49
https://doi.org/10.1007/978-3-031-19836-6_10
https://doi.org/10.1007/978-3-031-19836-6_10
Autor:
Pinaki Nath Chowdhury, Aneeshan Sain, Ayan Kumar Bhunia, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c72246490a6980e71fdea8551605122
https://doi.org/10.1007/978-3-031-20074-8_15
https://doi.org/10.1007/978-3-031-20074-8_15
Autor:
Aneeshan Sain, Ayan Kumar Bhunia, Vaishnav Potlapalli, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song
Zero-shot sketch-based image retrieval typically asks for a trained model to be applied as is to unseen categories. In this paper, we question to argue that this setup by definition is not compatible with the inherent abstract and subjective nature o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bce9e41fe19eeef2e68d7957862f266
Autor:
Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Yi-Zhe Song
Although text recognition has significantly evolved over the years, state-of-the-art (SOTA) models still struggle in the wild scenarios due to complex backgrounds, varying fonts, uncontrolled illuminations, distortions and other artefacts. This is be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85c73d917a1fbd66e960d2ab156acf96
http://arxiv.org/abs/2107.12090
http://arxiv.org/abs/2107.12090
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 29:1933-1945
Previous approaches to background subtraction in freely moving camera typically focus on improving the accuracy of motion estimation. In this paper, we propose that the accurate background subtraction is possible with the integration of alternative c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46a0afaa1108dba2247d45519aec7a13
https://doi.org/10.1109/tcsvt.2018.2854273
https://doi.org/10.1109/tcsvt.2018.2854273
Autor:
Yi-Zhe Song, Aneeshan Sain, Amandeep Kumar, Ayan Kumar Bhunia, Shuvozit Ghose, Pinaki Nath Chowdhury
Publikováno v:
CVPR
Handwritten Text Recognition (HTR) remains a challenging problem to date, largely due to the varying writing styles that exist amongst us. Prior works however generally operate with the assumption that there is a limited number of styles, most of whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0daf617c5bdee486c6510c698333ae2f
https://doi.org/10.1109/cvpr46437.2021.01557
https://doi.org/10.1109/cvpr46437.2021.01557
Publikováno v:
CVPR
Perceptual organization remains one of the very few established theories on the human visual system. It underpinned many pre-deep seminal works on segmentation and detection, yet research has seen a rapid decline since the preferential shift to learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1788b102c35c320e42bc096af8aefe2
http://arxiv.org/abs/2104.03589
http://arxiv.org/abs/2104.03589