Dave, Achal

24 publications

ICCV 2025 AllTracker: Efficient Dense Point Tracking at High Resolution Adam W. Harley, Yang You, Xinglong Sun, Yang Zheng, Nikhil Raghuraman, Yunqi Gu, Sheldon Liang, Wen-Hsuan Chu, Achal Dave, Suya You, Rares Ambrus, Katerina Fragkiadaki, Leonidas Guibas

ICLR 2025 Language Models Scale Reliably with Over-Training and on Downstream Tasks 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, Luca Soldaini, Jenia Jitsev, Alex Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar, Yair Carmon, Achal Dave, Reinhard Heckel, Niklas Muennighoff, Ludwig Schmidt

ICLR 2025 Should VLMs Be Pre-Trained with Image Data? Sedrick Keh, Jean Mercat, Samir Yitzhak Gadre, Kushal Arora, Igor Vasiljevic, Benjamin Burchfiel, Shuran Song, Russ Tedrake, Thomas Kollar, Ludwig Schmidt, Achal Dave

ICML 2025 Understanding Complexity in VideoQA via Visual Program Generation Cristobal Eyzaguirre, Igor Vasiljevic, Achal Dave, Jiajun Wu, Rares Andrei Ambrus, Thomas Kollar, Juan Carlos Niebles, Pavel Tokmakov

NeurIPS 2024 DataComp-LM: In Search of the Next Generation of Training Sets for Language Models Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Gadre, Hritik Bansal, Etash 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 Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham 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

CoRL 2024 Dreamitate: Real-World Visuomotor Policy Learning via Video Generation Junbang Liang, Ruoshi Liu, Ege Ozguroglu, Sruthi Sudhakar, Achal Dave, Pavel Tokmakov, Shuran Song, Carl Vondrick

ECCV 2024 Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis Basile Van Hoorick, Rundi Wu, Ege Ozguroglu, Kyle Sargent, Ruoshi Liu, Pavel Tokmakov, Achal Dave, Changxi Zheng, Carl Vondrick

CVPR 2024 Pix2gestalt: Amodal Segmentation by Synthesizing Wholes Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick

CVPR 2024 Understanding Video Transformers via Universal Concept Discovery Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov

WACV 2023 BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan

CVPR 2023 HandsOff: Labeled Dataset Generation with No Additional Human Annotations Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri

CVPRW 2023 Shape of You: Precise 3D Shape Estimations for Diverse Body Types Rohan Sarkar, Achal Dave, Gérard G. Medioni, Benjamin Biggs

ICML 2022 Data Determines Distributional Robustness in Contrastive Language Image Pre-Training (CLIP) Alex Fang, Gabriel Ilharco, Mitchell Wortsman, Yuhao Wan, Vaishaal Shankar, Achal Dave, Ludwig Schmidt

ECCV 2022 Differentiable Raycasting for Self-Supervised Occupancy Forecasting Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan

CVPR 2022 Opening up Open World Tracking Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljoša Ošep, Laura Leal-Taixé

CoRL 2022 Towards Long-Tailed 3D Detection Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong

ICCV 2021 Detecting Invisible People Tarasha Khurana, Achal Dave, Deva Ramanan

ICCV 2021 Do Image Classifiers Generalize Across Time? Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

NeurIPSW 2021 Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt

NeurIPS 2020 Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt

ECCV 2020 TAO: A Large-Scale Benchmark for Tracking Any Object Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan

ICMLW 2019 A Systematic Framework for Natural Perturbations from Videos Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

ICCVW 2019 Towards Segmenting Anything That Moves Achal Dave, Pavel Tokmakov, Deva Ramanan

CVPR 2017 Predictive-Corrective Networks for Action Detection Achal Dave, Olga Russakovsky, Deva Ramanan