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Achal Dave

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Linearizing Large Language Models

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May 10, 2024
Jean Mercat, Igor Vasiljevic, Sedrick Keh, Kushal Arora, Achal Dave, Adrien Gaidon, Thomas Kollar

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Language models scale reliably with over-training and on downstream tasks

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Mar 13, 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

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pix2gestalt: Amodal Segmentation by Synthesizing Wholes

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Jan 25, 2024
Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick

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Understanding Video Transformers via Universal Concept Discovery

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Jan 19, 2024
Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov

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Tracking Any Object Amodally

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Dec 19, 2023
Cheng-Yen Hsieh, Tarasha Khurana, Achal Dave, Deva Ramanan

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Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models

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Oct 10, 2023
Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas Guibas, Katerina Fragkiadaki

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Shape of You: Precise 3D shape estimations for diverse body types

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Apr 14, 2023
Rohan Sarkar, Achal Dave, Gerard Medioni, Benjamin Biggs

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HandsOff: Labeled Dataset Generation With No Additional Human Annotations

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Dec 24, 2022
Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri

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Towards Long-Tailed 3D Detection

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Nov 16, 2022
Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong

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Dfferentiable Raycasting for Self-supervised Occupancy Forecasting

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Oct 04, 2022
Tarasha Khurana, Peiyun Hu, Achal Dave, Jason ZIglar, David Held, Deva Ramanan

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