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Conference and Workshop Papers
- 2023
[c1]Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen:
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 2023: 1526-1535
Informal and Other Publications
- 2021
- [i4]Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick, Rajat Mani Thomas, Deepak Kumar Gupta:
Improving Solar Cell Metallization Designs using Convolutional Neural Networks. CoRR abs/2104.04017 (2021) - 2019
- [i3]Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran, Yoshua Bengio:
Applying Knowledge Transfer for Water Body Segmentation in Peru. CoRR abs/1912.00957 (2019) - 2018
- [i2]Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar:
Velocity-Porosity Supermodel: A Deep Neural Networks based concept. CoRR abs/1804.07112 (2018) - [i1]Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar:
Deep Autoassociative Neural Networks for Noise Reduction in Seismic data. CoRR abs/1805.00291 (2018)
Coauthor Index
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