| Ntire 2020 challenge on spectral reconstruction from an rgb image B Arad, R Timofte, O Ben-Shahar, YT Lin, GD Finlayson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 235 | 2020 |
| Revisiting RCAN: Improved Training for Image Super-Resolution Z Lin, P Garg, A Banerjee, SA Magid, D Sun, Y Zhang, L Van Gool, D Wei, ... arXiv preprint arXiv:2201.11279, 2022 | 59 | 2022 |
| Reconstructing the mind's eye: fMRI-to-image with contrastive learning and diffusion priors P Scotti, A Banerjee, J Goode, S Shabalin, A Nguyen, A Dempster, ... Advances in Neural Information Processing Systems 36, 2024 | 53 | 2024 |
| CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification S Kharbanda, A Banerjee, E Schultheis, R Babbar Advances in Neural Information Processing Systems 35, 2074-2087, 2022 | 20 | 2022 |
| Mxr-u-nets for real time hyperspectral reconstruction A Banerjee, A Palrecha arXiv preprint arXiv:2004.07003, 2020 | 13 | 2020 |
| Embedding convolutions for short text extreme classification with millions of labels S Kharbanda, A Banerjee, A Palrecha, R Babbar arXiv preprint arXiv:2109.07319, 2021 | 10* | 2021 |
| Meta-drn: Meta-learning for 1-shot image segmentation A Banerjee 2020 IEEE 17th India Council International Conference (INDICON), 1-6, 2020 | 6 | 2020 |
| Combinets v2: improving conceptual expansion using sgd A Banerjee Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021 | 3 | 2021 |
| Gandalf: Data Augmentation is all you need for Extreme Classification S Kharbanda, D Gupta, E Schultheis, A Banerjee, V Verma, R Babbar | | |
Siddhant KharbandaMasters in Computer Science, UCLA在 g.ucla.edu 的电子邮件经过验证
