| 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 | 520 | 2020 |
| Openclip G Ilharco, M Wortsman, R Wightman, C Gordon, N Carlini, R Taori, ... | 427* | 2021 |
| 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 | 156 | 2020 |
| 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 | 106 | 2022 |
| 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 | 103* | 2021 |
| Towards segmenting anything that moves A Dave, P Tokmakov, D Ramanan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 91 | 2019 |
| Predictive-Corrective Networks for Action Detection A Dave, O Russakovsky, D Ramanan The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 2017 | 65 | 2017 |
| 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 | 51 | 2021 |
| Differentiable raycasting for self-supervised occupancy forecasting T Khurana, P Hu, A Dave, J Ziglar, D Held, D Ramanan European Conference on Computer Vision, 353-369, 2022 | 43 | 2022 |
| 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 | 43 | 2022 |
| Burst: A benchmark for unifying object recognition, segmentation and tracking in video A Athar, J Luiten, P Voigtlaender, T Khurana, A Dave, B Leibe, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 41 | 2023 |
| Detecting invisible people T Khurana, A Dave, D Ramanan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 35 | 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 | 34 | 2014 |
| Towards long-tailed 3d detection N Peri, A Dave, D Ramanan, S Kong Conference on Robot Learning, 1904-1915, 2023 | 14 | 2023 |
| Learning to track any object A Dave, P Tokmakov, C Schmid, D Ramanan arXiv preprint arXiv:1910.11844, 2019 | 13 | 2019 |
| Audio classifier S Chaudhuri, AD Dave, BA Seybold US Patent 10,381,022, 2019 | 13 | 2019 |
| Language models scale reliably with over-training and on downstream tasks SY Gadre, G Smyrnis, V Shankar, S Gururangan, M Wortsman, R Shao, ... arXiv preprint arXiv:2403.08540, 2024 | 10 | 2024 |
| 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 | 8 | |
| HandsOff: Labeled dataset generation with no additional human annotations A Xu, MI Vasileva, A Dave, A Seshadri Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| pix2gestalt: Amodal segmentation by synthesizing wholes E Ozguroglu, R Liu, D Surís, D Chen, A Dave, P Tokmakov, C Vondrick Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
