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ORCIDAchal Dave
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2020 – today
- 2024
[c18]Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick:
pix2gestalt: Amodal Segmentation by Synthesizing Wholes. CVPR 2024: 3931-3940- [c17]Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov:
Understanding Video Transformers via Universal Concept Discovery. CVPR 2024: 10946-10956 - [c16]Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki:
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. ICRA 2024: 4916-4923 - [i25]Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov:
Understanding Video Transformers via Universal Concept Discovery. CoRR abs/2401.10831 (2024) - [i24]Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick:
pix2gestalt: Amodal Segmentation by Synthesizing Wholes. CoRR abs/2401.14398 (2024) - [i23]Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Jenia Jitsev, Alexandros G. Dimakis, Gabriel Ilharco, Shuran Song, Thomas Kollar, Yair Carmon, Achal Dave, Reinhard Heckel, Niklas Muennighoff, Ludwig Schmidt:
Language models scale reliably with over-training and on downstream tasks. CoRR abs/2403.08540 (2024) - [i22]Jean Mercat, Igor Vasiljevic, Sedrick Keh, Kushal Arora, Achal Dave, Adrien Gaidon, Thomas Kollar:
Linearizing Large Language Models. CoRR abs/2405.06640 (2024) - [i21]Basile Van Hoorick, Rundi Wu, Ege Ozguroglu, Kyle Sargent, Ruoshi Liu, Pavel Tokmakov, Achal Dave, Changxi Zheng, Carl Vondrick:
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis. CoRR abs/2405.14868 (2024) - [i20]Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar:
DataComp-LM: In search of the next generation of training sets for language models. CoRR abs/2406.11794 (2024) - [i19]Junbang Liang, Ruoshi Liu, Ege Ozguroglu, Sruthi Sudhakar, Achal Dave, Pavel Tokmakov, Shuran Song, Carl Vondrick:
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation. CoRR abs/2406.16862 (2024) - [i18]Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares Ambrus:
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. CoRR abs/2409.09896 (2024) - 2023
- [c15]Rohan Sarkar, Achal Dave, Gerard Medioni, Benjamin Biggs:
Shape of You: Precise 3D shape estimations for diverse body types. CVPR Workshops 2023: 3520-3524 - [c14]Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri:
HandsOff: Labeled Dataset Generation With No Additional Human Annotations. CVPR 2023: 7991-8000 - [c13]Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan
:
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. WACV 2023: 1674-1683 - [c12]Prashan Wanigasekara, Rafid Al-Humaimidi, Turan Gojayev, Niloofar Gheissari, Achal Dave, Stephen Rawls, Fan Yang, Kechen Qin, Nalin Gupta, Spurthi Sandiri, Chevanthie Dissanayake, Zeynab Raeesy, Emre Barut, Chengwei Su:
Visual Item Selection With Voice Assistants: A systems perspective. WWW (Companion Volume) 2023: 500-507 - [i17]Rohan Sarkar, Achal Dave, Gerard Medioni, Benjamin Biggs:
Shape of You: Precise 3D shape estimations for diverse body types. CoRR abs/2304.07389 (2023) - [i16]Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki:
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. CoRR abs/2310.06992 (2023) - [i15]Cheng-Yen Hsieh, Tarasha Khurana, Achal Dave, Deva Ramanan:
Tracking Any Object Amodally. CoRR abs/2312.12433 (2023) - 2022
- [c11]Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong:
Towards Long-Tailed 3D Detection. CoRL 2022: 1904-1915 - [c10]Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljosa Osep, Laura Leal-Taixé:
Opening up Open World Tracking. CVPR 2022: 19023-19033 - [c9]Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan:
Differentiable Raycasting for Self-Supervised Occupancy Forecasting. ECCV (38) 2022: 353-369 - [c8]Alex Fang, Gabriel Ilharco, Mitchell Wortsman, Yuhao Wan, Vaishaal Shankar, Achal Dave, Ludwig Schmidt:
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP). ICML 2022: 6216-6234 - [i14]Alex Fang, Gabriel Ilharco, Mitchell Wortsman, Yuhao Wan, Vaishaal Shankar, Achal Dave, Ludwig Schmidt:
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP). CoRR abs/2205.01397 (2022) - [i13]Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan:
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. CoRR abs/2209.12118 (2022) - [i12]Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan:
Differentiable Raycasting for Self-supervised Occupancy Forecasting. CoRR abs/2210.01917 (2022) - [i11]Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong:
Towards Long-Tailed 3D Detection. CoRR abs/2211.08691 (2022) - [i10]Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri:
HandsOff: Labeled Dataset Generation With No Additional Human Annotations. CoRR abs/2212.12645 (2022) - 2021
- [b1]Achal Dave:
Open-world Object Detection and Tracking. Carnegie Mellon University, USA, 2021 - [j1]Achal Dave, Sachit Kuhar, Ribhu Chopra:
Deep Learning Based Semi-Blind Tracking for Aging Wireless Communication Channels. Wirel. Pers. Commun. 119(3): 2695-2706 (2021) - [c7]Tarasha Khurana, Achal Dave, Deva Ramanan:
Detecting Invisible People. ICCV 2021: 3154-3164 - [c6]Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt:
Do Image Classifiers Generalize Across Time? ICCV 2021: 9641-9649 - [i9]Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick:
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. CoRR abs/2102.01066 (2021) - [i8]Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljosa Osep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé:
Opening up Open-World Tracking. CoRR abs/2104.11221 (2021) - 2020
- [c5]Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
TAO: A Large-Scale Benchmark for Tracking Any Object. ECCV (5) 2020: 436-454 - [c4]Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt:
Measuring Robustness to Natural Distribution Shifts in Image Classification. NeurIPS 2020 - [i7]Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
TAO: A Large-Scale Benchmark for Tracking Any Object. CoRR abs/2005.10356 (2020) - [i6]Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt:
Measuring Robustness to Natural Distribution Shifts in Image Classification. CoRR abs/2007.00644 (2020) - [i5]Tarasha Khurana, Achal Dave, Deva Ramanan:
Detecting Invisible People. CoRR abs/2012.08419 (2020)
2010 – 2019
- 2019
- [c3]Achal Dave, Pavel Tokmakov, Deva Ramanan:
Towards Segmenting Anything That Moves. ICCV Workshops 2019: 1493-1502 - [i4]Achal Dave, Pavel Tokmakov, Deva Ramanan:
Towards Segmenting Everything That Moves. CoRR abs/1902.03715 (2019) - [i3]Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt:
A systematic framework for natural perturbations from videos. CoRR abs/1906.02168 (2019) - [i2]Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
Learning to Track Any Object. CoRR abs/1910.11844 (2019) - 2017
- [c2]Achal Dave, Olga Russakovsky, Deva Ramanan:
Predictive-Corrective Networks for Action Detection. CVPR 2017: 2067-2076 - [i1]Achal Dave, Olga Russakovsky, Deva Ramanan:
Predictive-Corrective Networks for Action Detection. CoRR abs/1704.03615 (2017) - 2014
- [c1]Ben Zhang, Yu-Hsiang Chen, Claire Tuna, Achal Dave, Yang Li, Edward A. Lee, Björn Hartmann:
HOBS: head orientation-based selection in physical spaces. SUI 2014: 17-25
Coauthor Index
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last updated on 2024-10-14 23:23 CEST by the dblp team
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