Apps gone rogue: Maintaining personal privacy in an epidemic R Raskar, I Schunemann, R Barbar, K Vilcans, J Gray, P Vepakomma, ... arXiv preprint arXiv:2003.08567, 2020 | 145 | 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 | 94 | 2021 |
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 | 79 | 2020 |
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors A Chopra, R Jain, M Hemani, B Krishnamurthy ICCV 2021, 2021 | 68 | 2021 |
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation S Gairola, M Hemani*, A Chopra*, B Krishnamurthy IJCAI, 2020 | 66 | 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 | 45 | 2022 |
Disco: Dynamic and invariant sensitive channel obfuscation for deep neural networks A Singh, A Chopra, E Garza, E Zhang, P Vepakomma, V Sharma, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 45 | 2021 |
Differentiable Agent-based Epidemiology A Chopra, A Rodríguez, J Subramanian, B Krishnamurthy, BA Prakash, ... AAMAS 2023; ICML 2022 Workshop (Best Paper Award), 2022 | 26* | 2022 |
Powering Robust Fashion Retrieval with Information Rich Feature Embeddings A Chopra*, A Sinha*, M Sarkar*, H Gupta*, K Ayush, B Krishnamurthy IEEE Computer Vision and Pattern Recognition (CVPR) Workshops (Best Paper Award), 2019 | 25 | 2019 |
Adaptive Split Learning A Chopra, SK Sahu, A Singh, A Java, P Vepakomma, MM Amiri, R Raskar Federated Learning Systems (FLSys) Workshop@ MLSys 2023, 2023 | 24* | 2023 |
Proximity sensing for contact tracing S Shankar, A Chopra, R Kanaparti, M Kang, A Singh, R Raskar | 22* | 2020 |
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks A Chopra, E Gel, J Subramanian, B Krishnamurthy, S Romero-Brufau, ... WSC 2021, 2021 | 21* | 2021 |
TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback S Jandial*, A Chopra*, P Badjatiya*, P Chawla, M Sarkar, ... arXiv preprint arXiv:2009.01485, 2020 | 21 | 2020 |
Towards a unified framework for visual compatibility prediction A Singhal*, A Chopra*, K Ayush*, UP Govind, B Krishnamurthy Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 20 | 2020 |
Powering virtual try-on via auxiliary human segmentation learning K Ayush*, S Jandial*, A Chopra*, B Krishnamurthy Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 20 | 2019 |
Bayesian calibration of differentiable agent-based models A Quera-Bofarull, A Chopra, A Calinescu, M Wooldridge, J Dyer arXiv preprint arXiv:2305.15340, 2023 | 14 | 2023 |
On conditioning the input noise for controlled image generation with diffusion models V Singh, S Jandial, A Chopra, S Ramesh, B Krishnamurthy, ... arXiv preprint arXiv:2205.03859, 2022 | 13 | 2022 |
Accurately generating virtual try-on images utilizing a unified neural network framework K Ayush, S Jandial, A Kumar, M Hemani, B Krishnamurthy, A Chopra US Patent 11,030,782, 2021 | 13 | 2021 |
Leveraging style and content features for text conditioned image retrieval P Chawla, S Jandial, P Badjatiya, A Chopra, M Sarkar, B Krishnamurthy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 13 | 2021 |
Generating combined feature embedding for minority class upsampling in training machine learning models with imbalanced samples N Puri, B Krishnamurthy, A Chopra US Patent 11,631,029, 2023 | 11 | 2023 |