| 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 | 407 | 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 | 89 | 2021 |
| 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 | 81 | 2019 |
| 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 | 75 | 2020 |
| Refinement of depth maps by fusion of multiple estimates A Rastogi, B Krishnamurthy US Patent 9,117,295, 2015 | 70 | 2015 |
| 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 | 66 | 2021 |
| Simpropnet: Improved similarity propagation for few-shot image segmentation S Gairola, M Hemani, A Chopra, B Krishnamurthy arXiv preprint arXiv:2004.15014, 2020 | 64 | 2020 |
| 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 | 54* | 2022 |
| Magix: Model agnostic globally interpretable explanations N Puri, P Gupta, P Agarwal, S Verma, B Krishnamurthy arXiv preprint arXiv:1706.07160, 2017 | 53 | 2017 |
| Rule determination for black-box machine-learning models P Gupta, S Verma, P Agarwal, N Puri, B Krishnamurthy US Patent 11,354,590, 2022 | 52 | 2022 |
| Conversational agent for search B Krishnamurthy, S Sodhani, A Arora, M Aggarwal US Patent 10,713,317, 2020 | 44 | 2020 |
| Deep-learning network architecture for object detection B Krishnamurthy, M Sarkar US Patent 10,019,655, 2018 | 43 | 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 | 42 | 2019 |
| Behavioral prediction for targeted end users B Krishnamurthy, T Singla US Patent 10,210,453, 2019 | 41 | 2019 |
| Deep-learning network architecture for object detection B Krishnamurthy, M Sarkar US Patent 10,152,655, 2018 | 35 | 2018 |
| 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 | 35 | 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 | 30 | 2019 |
| 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 | 28 | 2019 |
| Introspection: Accelerating neural network training by learning weight evolution A Sinha, M Sarkar, A Mukherjee, B Krishnamurthy arXiv preprint arXiv:1704.04959, 2017 | 27 | 2017 |
| Convolution neural networks: A comparative study for image classification N Darapaneni, B Krishnamurthy, AR Paduri 2020 IEEE 15th International Conference on Industrial and Information …, 2020 | 26 | 2020 |
