| Measuring robustness to natural distribution shifts in image classification R Taori, A Dave, V Shankar, N Carlini, B Recht, L Schmidt Advances in Neural Information Processing Systems (NeurIPS), 2020 | 291 | 2020 |
| TAO: A large-scale benchmark for tracking any object A Dave, T Khurana, P Tokmakov, C Schmid, D Ramanan European conference on computer vision, 436-454, 2020 | 77 | 2020 |
| Do image classifiers generalize across time? V Shankar, A Dave, R Roelofs, D Ramanan, B Recht, L Schmidt Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 64* | 2021 |
| Predictive-Corrective Networks for Action Detection A Dave, O Russakovsky, D Ramanan The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 2017 | 64 | 2017 |
| Towards segmenting anything that moves A Dave, P Tokmakov, D Ramanan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 44 | 2019 |
| Openclip, July 2021 G Ilharco, M Wortsman, N Carlini, R Taori, A Dave, V Shankar, ... If you use this software, please cite it as below 5, 0 | 32 | |
| Evaluating large-vocabulary object detectors: The devil is in the details A Dave, P Dollár, D Ramanan, A Kirillov, R Girshick arXiv preprint arXiv:2102.01066, 2021 | 30 | 2021 |
| Hobs: head orientation-based selection in physical spaces B Zhang, YH Chen, C Tuna, A Dave, Y Li, E Lee, B Hartmann Proceedings of the 2nd ACM symposium on Spatial user interaction, 17-25, 2014 | 29 | 2014 |
| Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP) A Fang, G Ilharco, M Wortsman, Y Wan, V Shankar, A Dave, L Schmidt International Conference on Machine Learning (ICML) 2022, 2022 | 28 | 2022 |
| OpenCLIP G Ilharco, M Wortsman, N Carlini, R Taori, A Dave, V Shankar, ... Zenodo 4, 5, 2021 | 20 | 2021 |
| Towards segmenting everything that moves A Dave, P Tokmakov, D Ramanan arXiv preprint arXiv:1902.03715 2 (4), 2019 | 17 | 2019 |
| Detecting invisible people T Khurana, A Dave, D Ramanan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 16 | 2021 |
| Opening up Open-World Tracking Y Liu, IE Zulfikar, J Luiten, A Dave, A Ošep, D Ramanan, B Leibe, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 10 | 2022 |
| Learning to track any object A Dave, P Tokmakov, C Schmid, D Ramanan arXiv preprint arXiv:1910.11844, 2019 | 9 | 2019 |
| Openclip (2021) G Ilharco, M Wortsman, R Wightman, C Gordon, N Carlini, R Taori, ... DOI: https://doi. org/10.5281/zenodo 5143773, 0 | 7 | |
| When robustness doesn’t promote robustness: Synthetic vs. natural distribution shifts on imagenet, 2020 R Taori, A Dave, V Shankar, N Carlini, B Recht, L Schmidt URL https://openreview. net/forum, 0 | 7 | |
| Audio classifier S Chaudhuri, AD Dave, BA Seybold US Patent 10,381,022, 2019 | 6 | 2019 |
| Do image classifiers generalize across time?, 2019 V Shankar, A Dave, R Roelofs, D Ramanan, B Recht, L Schmidt URL https://arxiv. org/abs, 1906 | 6 | 1906 |
| Towards Long-Tailed 3D Detection N Peri, A Dave, D Ramanan, S Kong Conference on Robot Learning, 1904-1915, 2023 | 2 | 2023 |
| Differentiable raycasting for self-supervised occupancy forecasting T Khurana, P Hu, A Dave, J Ziglar, D Held, D Ramanan Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 2 | 2022 |
