Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Measuring Robustness to Natural Distribution Shifts in Image Classification

Jul 01, 2020
Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt


  Access Paper or Ask Questions

TAO: A Large-Scale Benchmark for Tracking Any Object

May 20, 2020
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan

* Project page: http://taodataset.org/ 

  Access Paper or Ask Questions

Learning to Track Any Object

Oct 25, 2019
Achal Dave, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan

* To be presented at the Holistic Video Understanding workshop at ICCV 

  Access Paper or Ask Questions

A systematic framework for natural perturbations from videos

Jun 05, 2019
Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

* 16 pages, 5 tables, 6 figures. Paper Website: https://modestyachts.github.io/natural-perturbations-website/ 

  Access Paper or Ask Questions

Towards Segmenting Everything That Moves

Feb 11, 2019
Achal Dave, Pavel Tokmakov, Deva Ramanan


  Access Paper or Ask Questions

Predictive-Corrective Networks for Action Detection

Dec 12, 2017
Achal Dave, Olga Russakovsky, Deva Ramanan

* Accepted to CVPR 2017. [v2]: Updated Multi-LSTM mAP on MultiTHUMOS (should be 29.7, was initially reported as 29.6). [Project URL]: http://www.achaldave.com/projects/predictive-corrective/ 

  Access Paper or Ask Questions