Concepedia

Achal Dave

AD

12

Publications

498

Citations

11

H-Index

2014

Active since

Affiliations

Carnegie Mellon University(Current)

Google (United States)

University of California, Berkeley

Toyota Research Institute

RWTH Aachen University

Achal Dave is an author at Carnegie Mellon University specializing in engineering, computer vision, and deep learning.

Top concepts

EngineeringDeep LearningMachine VisionComputer VisionComputer ScienceMachine LearningData ScienceImage AnalysisPattern RecognitionEye Tracking

Publications per year

2014–2024

12

Publications

12

Measuring Robustness to Natural Distribution Shifts in Image Classification

Rohan Taori, Achal Dave, Vaishaal Shankar et al. · arXiv (Cornell University) · 2020 · 170 citations · Full text

Engineering, Machine Learning, Shift Detection +19

Measuring Robustness to Natural Distribution Shifts in Image Classification

Rohan Taori, Achal Dave, Vaishaal Shankar et al. · Neural Information Processing Systems · 2020 · 78 citations

Engineering, Machine Learning, Shift Detection +19

Predictive-Corrective Networks for Action Detection

Achal Dave, Olga Russakovsky, Deva Ramanan · 2017 · 40 citations · Full text

Opening up Open World Tracking

Yang Liu, Idil Esen Zulfikar, Jonathon Luiten et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 37 citations

Location Tracking, Engineering, Machine Learning +23

BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video

Ali Athar, Jonathon Luiten, Paul Voigtlaender et al. · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2023 · 34 citations

Scene Analysis, Engineering, Machine Learning +20

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