Achal Dave
Hi! I'm a Research Scientist at Toyota Research Institute. Previously, I was an Applied Scientist at Amazon, before which I was a Ph.D. student at Carnegie Mellon University advised by Prof. Deva Ramanan, working on open-world object detection and tracking.



BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video
In submission
Differentiable Raycasting for Self-supervised Occupancy Forecasting
Tarasha Khurana*, Peiyun Hu*, Achal Dave, Jason Ziglar, David Held, Deva Ramanan
ECCV 2022
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP) [ArXiV]
Alex Fang, Gabriel Ilharco, Mitchell Wortsman, Yuhao Wan, Vaishaal Shankar, Achal Dave, Ludwig Schmidt
ICML 2022
Opening up Open-World Tracking [ArXiV]
CVPR 2022, Oral
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details [ArXiV]
Detecting Invisible People [paper]
ICCV 2021
TAO: A Large-Scale Benchmark for Tracking Any Object [paper, website, code]
ECCV 2020 (Spotlight)
Measuring Robustness to Natural Distribution Shifts in Image Classification [paper, website, code, interactive plots]
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
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]
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)


Most of my projects can be found on my Github.

Fun Stuff

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