| Supervised contrastive learning P Khosla, P Teterwak, C Wang, A Sarna, Y Tian, P Isola, A Maschinot, ... Advances in Neural Information Processing Systems 33 (2020), 2020 | 7494 | 2020 |
| Local deep implicit functions for 3d shape K Genova, F Cole, A Sud, A Sarna, T Funkhouser Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 543 | 2020 |
| Learning shape templates with structured implicit functions K Genova, F Cole, D Vlasic, A Sarna, WT Freeman, T Funkhouser Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 454 | 2019 |
| Unsupervised training for 3d morphable model regression K Genova, F Cole, A Maschinot, A Sarna, D Vlasic, WT Freeman Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 396 | 2018 |
| Synthesizing normalized faces from facial identity features F Cole, D Belanger, D Krishnan, A Sarna, I Mosseri, WT Freeman Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 195 | 2017 |
| Boundless: Generative adversarial networks for image extension P Teterwak, A Sarna, D Krishnan, A Maschinot, D Belanger, C Liu, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 131 | 2019 |
| Simplified transfer learning for chest radiography models using less data AB Sellergren, C Chen, Z Nabulsi, Y Li, A Maschinot, A Sarna, J Huang, ... Radiology 305 (2), 454-465, 2022 | 87 | 2022 |
| Deep structured implicit functions K Genova, F Cole, A Sud, A Sarna, T Funkhouser arXiv preprint arXiv:1912.06126 2, 2, 2019 | 58 | 2019 |
| A simple, efficient and scalable contrastive masked autoencoder for learning visual representations S Mishra, J Robinson, H Chang, D Jacobs, A Sarna, A Maschinot, ... arXiv preprint arXiv:2210.16870, 2022 | 48 | 2022 |
| Contrail detection on GOES-16 ABI with the OpenContrails dataset JYH Ng, K McCloskey, J Cui, VR Meijer, E Brand, A Sarna, N Goyal, ... IEEE Transactions on Geoscience and Remote Sensing 62, 1-14, 2023 | 42* | 2023 |
| A scalable system to measure contrail formation on a per-flight basis S Geraedts, E Brand, TR Dean, S Eastham, C Elkin, Z Engberg, U Hager, ... Environmental Research Communications 6 (1), 015008, 2024 | 31 | 2024 |
| Boundless: Generative adversarial networks for image extension D Krishnan, P Teterwak, A Sarna, A Maschinot, C Liu, D Belanger, ... 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 10520-10529, 2019 | 22 | 2019 |
| Generating cartoon images from photos A Sarna, D Krishnan, I Mosseri US Patent 10,529,115, 2020 | 19 | 2020 |
| Feasibility test of per-flight contrail avoidance in commercial aviation A Sonabend-W, C Elkin, T Dean, J Dudley, N Ali, J Blickstein, E Brand, ... Communications Engineering 3 (1), 184, 2024 | 15 | 2024 |
| Supervised contrastive learning with multiple positive examples D Krishnan, P Khosla, P Teterwak, AY Sarna, AJ Maschinot, C Liu, ... US Patent 11,347,975, 2022 | 13 | 2022 |
| Benchmarking and improving algorithms for attributing satellite-observed contrails to flights A Sarna, V Meijer, R Chevallier, A Duncan, K McConnaughay, S Geraedts, ... Atmospheric Measurement Techniques 18 (14), 3495-3532, 2025 | 7 | 2025 |
| Unsupervised disentanglement without autoencoding: Pitfalls and future directions A Burns, A Sarna, D Krishnan, A Maschinot arXiv preprint arXiv:2108.06613, 2021 | 4 | 2021 |
| Image extension neural networks MP Bonnevie, A Maschinot, A Sarna, S Bi, J Wang, MS Krainin, W Tong, ... US Patent 12,236,676, 2025 | 3 | 2025 |
| CAN: A simple, efficient and scalable contrastive masked autoencoder framework for learning visual representations SK Mishra, JD Robinson, H Chang, D Jacobs, W Kuo, A Sarna, ... | 2 | |
| Flight-Matched Contrail Observations from GOES-Insights from Aircraft-Engine Analysis J Itcovitz, A Sarna, M Stettler, V Meijer AGU Fall Meeting Abstracts 2024 (1867), A51M-1867, 2024 | 1 | 2024 |
Dilip KrishnanResearch Scientist, GoogleVerified email at google.com
