Achal Dave

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 40

Top Topics

Head Orientation

Action Detection

Temporal Continuity

Top Venues

Publications

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)
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak 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 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 (2024)
Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick
pix2gestalt: Amodal Segmentation by Synthesizing Wholes. CoRR (2024)
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 (2024)
Jean Mercat, Igor Vasiljevic, Sedrick Keh, Kushal Arora, Achal Dave, Adrien Gaidon, Thomas Kollar
Linearizing Large Language Models. CoRR (2024)
Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov
Understanding Video Transformers via Universal Concept Discovery. CoRR (2024)
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 (2024)
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 (2024)
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)
Rohan Sarkar, Achal Dave, Gerard Medioni, Benjamin Biggs
Shape of You: Precise 3D shape estimations for diverse body types. CoRR (2023)
Cheng-Yen Hsieh, Tarasha Khurana, Achal Dave, Deva Ramanan
Tracking Any Object Amodally. CoRR (2023)
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 (2023)
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)
Rohan Sarkar, Achal Dave, Gerard Medioni, Benjamin Biggs
Shape of You: Precise 3D shape estimations for diverse body types. CVPR Workshops (2023)
Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri
HandsOff: Labeled Dataset Generation With No Additional Human Annotations. CVPR (2023)
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)
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)
Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
Towards Long-Tailed 3D Detection. CoRL (2022)
Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan
Differentiable Raycasting for Self-supervised Occupancy Forecasting. CoRR (2022)
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 (2022)
Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan
Differentiable Raycasting for Self-Supervised Occupancy Forecasting. ECCV (38) (2022)
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 (2022)
Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri
HandsOff: Labeled Dataset Generation With No Additional Human Annotations. CoRR (2022)
Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
Towards Long-Tailed 3D Detection. CoRR (2022)
Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljosa Osep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé
Opening up Open-World Tracking. CoRR (2021)
Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. CoRR (2021)
Tarasha Khurana, Achal Dave, Deva Ramanan
Detecting Invisible People. ICCV (2021)
Achal Dave, Sachit Kuhar, Ribhu Chopra
Deep Learning Based Semi-Blind Tracking for Aging Wireless Communication Channels. Wirel. Pers. Commun. 119 (3) (2021)
Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt
Do Image Classifiers Generalize Across Time? ICCV (2021)
Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt
Measuring Robustness to Natural Distribution Shifts in Image Classification. NeurIPS (2020)
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan
TAO: A Large-Scale Benchmark for Tracking Any Object. ECCV (5) (2020)
Tarasha Khurana, Achal Dave, Deva Ramanan
Detecting Invisible People. CoRR (2020)
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan
TAO: A Large-Scale Benchmark for Tracking Any Object. CoRR (2020)
Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt
Measuring Robustness to Natural Distribution Shifts in Image Classification. CoRR (2020)
Achal Dave, Pavel Tokmakov, Deva Ramanan
Towards Segmenting Anything That Moves. ICCV Workshops (2019)
Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt
A systematic framework for natural perturbations from videos. CoRR (2019)
Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan
Learning to Track Any Object. CoRR (2019)
Achal Dave, Pavel Tokmakov, Deva Ramanan
Towards Segmenting Everything That Moves. CoRR (2019)
Achal Dave, Olga Russakovsky, Deva Ramanan
Predictive-Corrective Networks for Action Detection. CVPR (2017)
Achal Dave, Olga Russakovsky, Deva Ramanan
Predictive-Corrective Networks for Action Detection. CoRR (2017)
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)