| Charting the right manifold: Manifold mixup for few-shot learning P Mangla, N Kumari, A Sinha, M Singh, B Krishnamurthy, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 250 | 2020 |
| Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study S Romero-Brufau, A Chopra, AJ Ryu, E Gel, R Raskar, W Kremers, ... bmj 373, 2021 | 70 | 2021 |
| Refinement of depth maps by fusion of multiple estimates A Rastogi, B Krishnamurthy US Patent 9,117,295, 2015 | 57 | 2015 |
| Explain your move: Understanding agent actions using specific and relevant feature attribution N Puri, S Verma, P Gupta, D Kayastha, S Deshmukh, B Krishnamurthy, ... arXiv preprint arXiv:1912.12191, 2019 | 56 | 2019 |
| Simpropnet: Improved similarity propagation for few-shot image segmentation S Gairola, M Hemani, A Chopra, B Krishnamurthy arXiv preprint arXiv:2004.15014, 2020 | 54 | 2020 |
| Sievenet: A unified framework for robust image-based virtual try-on S Jandial, A Chopra, K Ayush, M Hemani, B Krishnamurthy, A Halwai Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 51 | 2020 |
| Magix: Model agnostic globally interpretable explanations N Puri, P Gupta, P Agarwal, S Verma, B Krishnamurthy arXiv preprint arXiv:1706.07160, 2017 | 45 | 2017 |
| Conversational agent for search B Krishnamurthy, S Sodhani, A Arora, M Aggarwal US Patent 10,713,317, 2020 | 41 | 2020 |
| Deep-learning network architecture for object detection B Krishnamurthy, M Sarkar US Patent 10,019,655, 2018 | 36 | 2018 |
| Harnessing the vulnerability of latent layers in adversarially trained models N Kumari, M Singh, A Sinha, H Machiraju, B Krishnamurthy, ... Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 28 | 2019 |
| Learning vector-space representations of items for recommendations using word embedding models B Krishnamurthy, N Puri, R Goel Procedia Computer Science 80, 2205-2210, 2016 | 26 | 2016 |
| Harnessing the vulnerability of latent layers in adversarially trained models M Singh, A Sinha, N Kumari, H Machiraju, B Krishnamurthy, ... arXiv preprint arXiv:1905.05186, 2019 | 25 | 2019 |
| Behavioral prediction for targeted end users B Krishnamurthy, T Singla US Patent 10,210,453, 2019 | 22 | 2019 |
| Introspection: Accelerating neural network training by learning weight evolution A Sinha, M Sarkar, A Mukherjee, B Krishnamurthy arXiv preprint arXiv:1704.04959, 2017 | 22 | 2017 |
| Deep-learning network architecture for object detection B Krishnamurthy, M Sarkar US Patent 10,152,655, 2018 | 21 | 2018 |
| Explain your move: Understanding agent actions using focused feature saliency P Gupta, N Puri, S Verma, S Singh, D Kayastha, S Deshmukh, ... arXiv preprint arXiv:1912.12191, 2019 | 20 | 2019 |
| SAC: Semantic attention composition for text-conditioned image retrieval S Jandial, P Badjatiya, P Chawla, A Chopra, M Sarkar, B Krishnamurthy Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 19* | 2022 |
| Zflow: Gated appearance flow-based virtual try-on with 3d priors A Chopra, R Jain, M Hemani, B Krishnamurthy Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 19 | 2021 |
| Learning vector-space representations of items for recommendations using word embedding models B Krishnamurthy, R Goel, N Puri US Patent 10,515,400, 2019 | 19 | 2019 |
| Powering robust fashion retrieval with information rich feature embeddings A Chopra, A Sinha, H Gupta, M Sarkar, K Ayush, B Krishnamurthy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 19 | 2019 |
