Achal Dave
Hi! I'm an Applied Scientist at Amazon. Previously, I was a Ph.D. student at Carnegie Mellon University advised by Prof. Deva Ramanan, working on open-world object detection and tracking.
Email: achald@amazon.com, achalddave@gmail.com

News

Research

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details [ArXiV]
ArXiV
Detecting Invisible People [paper]
International Conference on Computer Vision (ICCV), 2021
TAO: A Large-Scale Benchmark for Tracking Any Object [paper, website, code]
European Conference on Computer Vision (ECCV), 2020 (Spotlight)
Measuring Robustness to Natural Distribution Shifts in Image Classification [paper, website, code, interactive plots]
Advances in Neural Information Processing Systems (NeurIPS), 2020. Spotlight.
Do Image Classifiers Generalize Across Time? [paper, website]
Vaishaal Shankar*, Achal Dave*, Rebecca Roelofs, Deva Ramanan, Ben Recht, Ludwig Schmidt
* Equal contribution
International Conference on Computer Vision (ICCV), 2021
Learning to Track Any Object [paper]
ICCV Workshop on Holistic Video Understanding, 2019
Towards Segmenting Anything That Moves [paper, website]
ICCV Workshop on Holistic Video Understanding, 2019
Predictive-Corrective Networks for Action Detection [paper, bibtex, website]
Computer Vision and Pattern Recognition (CVPR), 2017
HOBS: Head Orientation-Based Selection in Physical Spaces [paper, slides, doi, code]
Ben Zhang, Yu-Hsiang Chen, Claire Tuna, Achal Dave, Yang Li, Edward A. Lee and Björn Hartmann
ACM Symposium on Spatial User Interaction (SUI2014)

Projects

Most of my projects can be found on my Github.

Fun Stuff

PSYCHO: PerSonalitY CHaracterizatiOn of artificial intelligence [paper]
Achal Dave, Rohit Girdhar
SIGBOVIK 2018