NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. - Boaz Arad; Radu Timofte; Ohad Ben-Shahar; Yi-Tun Lin; Graham D. Finlayson; Shai Givati; Jiaojiao Li 001; Chaoxiong Wu; Rui Song 003; Yunsong Li 001; Fei Liu; Zhiqiang Lang; et al. (CVPR Workshops, 2020)

MXR-U-Nets for Real Time Hyperspectral Reconstruction. - Atmadeep Banerjee; Akash Palrecha (CoRR, 2020)

Meta-DRN: Meta-Learning for 1-Shot Image Segmentation. - Atmadeep Banerjee (CoRR, 2020)

Combinets v2: Improving Conceptual Expansion using SGD. - Atmadeep Banerjee (COMAD/CODS, 2021)

Embedding Convolutions for Short Text Extreme Classification with Millions of Labels. - Siddhant Kharbanda; Atmadeep Banerjee; Akash Palrecha; Rohit Babbar (CoRR, 2021)

CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification. - Siddhant Kharbanda; Atmadeep Banerjee; Erik Schultheis; Rohit Babbar (NeurIPS, 2022)

Revisiting RCAN: Improved Training for Image Super-Resolution. - Zudi Lin; Prateek Garg; Atmadeep Banerjee; Salma Abdel Magid; Deqing Sun; Yulun Zhang 001; Luc Van Gool; Donglai Wei 001; Hanspeter Pfister (CoRR, 2022)

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors. - Paul S. Scotti; Atmadeep Banerjee; Jimmie Goode; Stepan Shabalin; Alex Nguyen; Ethan Cohen; Aidan J. Dempster; Nathalie Verlinde; Elad Yundler; David Weisberg; Kenneth A. Norman; Tanishq Mathew Abraham (NeurIPS, 2023)

InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification. - Siddhant Kharbanda; Atmadeep Banerjee; Devaansh Gupta; Akash Palrecha; Rohit Babbar (SIGIR, 2023)

Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features. - Siddhant Kharbanda; Devaansh Gupta; Erik Schultheis; Atmadeep Banerjee; Cho-Jui Hsieh; Rohit Babbar (KDD, 2024)

TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images. - Jia Wan; Wanhua Li 001; Atmadeep Banerjee; Jason Ken Adhinarta; Evelina Sjostedt; Jingpeng Wu; Jeff Lichtman; Hanspeter Pfister; Donglai Wei 001 (CoRR, 2024)

Learning label-label correlations in Extreme Multi-label Classification via Label Features. - Siddhant Kharbanda; Devaansh Gupta; Erik Schultheis; Atmadeep Banerjee; Cho-Jui Hsieh; Rohit Babbar (CoRR, 2024)