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 | 604 | 2020 |
Openclip G Ilharco, M Wortsman, R Wightman, C Gordon, N Carlini, R Taori, ... | 592* | 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 | 189 | 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 | 134 | 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 | 112* | 2021 |
Towards segmenting anything that moves A Dave, P Tokmakov, D Ramanan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 97 | 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 |
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 | 60 | 2023 |
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 | 56 | 2022 |
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 | 55 | 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 | 54 | 2022 |
Detecting invisible people T Khurana, A Dave, D Ramanan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 40 | 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 |
Datacomp-lm: In search of the next generation of training sets for language models J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, S Gadre, H Bansal, E Guha, ... arXiv preprint arXiv:2406.11794, 2024 | 25 | 2024 |
Towards long-tailed 3d detection N Peri, A Dave, D Ramanan, S Kong Conference on Robot Learning, 1904-1915, 2023 | 21 | 2023 |
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 | 15 | 2024 |
Learning to track any object A Dave, P Tokmakov, C Schmid, D Ramanan arXiv preprint arXiv:1910.11844, 2019 | 14 | 2019 |
pix2gestalt: Amodal segmentation by synthesizing wholes E Ozguroglu, R Liu, D Surís, D Chen, A Dave, P Tokmakov, C Vondrick 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2024 | 13 | 2024 |
Audio classifier S Chaudhuri, AD Dave, BA Seybold US Patent 10,381,022, 2019 | 13 | 2019 |
Generative camera dolly: Extreme monocular dynamic novel view synthesis B Van Hoorick, R Wu, E Ozguroglu, K Sargent, R Liu, P Tokmakov, ... European Conference on Computer Vision, 313-331, 2025 | 10 | 2025 |