Debjani Bhowmick

According to our database, Debjani Bhowmick authored at least 5 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning.

Rishabh Tiwari, Arnav Chavan, Deepak 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Improving Solar Cell Metallization Designs using Convolutional Neural Networks.

Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick, Rajat Mani Thomas, Deepak Kumar Gupta

CoRR, 2021

2019

Applying Knowledge Transfer for Water Body Segmentation in Peru.

Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran, Yoshua Bengio

CoRR, 2019

2018

Deep Autoassociative Neural Networks for Noise Reduction in Seismic data.

Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar

CoRR, 2018

Velocity-Porosity Supermodel: A Deep Neural Networks based concept.

Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar

CoRR, 2018