On Optimizing Human-Machine Task Assignments. - Andreas Veit; Michael J. Wilber; Rajan Vaish; Serge J. Belongie; James Davis 001; Vishal Anand 002; Anshu Aviral; Prithvijit Chakrabarty; Yash Chandak; Sidharth Chaturvedi; Chinmaya Devaraj; Ankit Dhall; et al. (CoRR, 2015)

AdapNet: Adaptive semantic segmentation in adverse environmental conditions. - Abhinav Valada; Johan Vertens; Ankit Dhall; Wolfram Burgard (ICRA, 2017)

LiDAR-Camera Calibration using 3D-3D Point correspondences. - Ankit Dhall; Kunal Chelani; Vishnu Radhakrishnan; K. Madhava Krishna (CoRR, 2017)

Real-time 3D Pose Estimation with a Monocular Camera Using Deep Learning and Object Priors On an Autonomous Racecar. - Ankit Dhall (CoRR, 2018)

Real-time 3D Traffic Cone Detection for Autonomous Driving. - Ankit Dhall; Dengxin Dai; Luc Van Gool (IV, 2019)

Hierarchical Image Classification using Entailment Cone Embeddings. - Ankit Dhall; Anastasia Makarova; Octavian Ganea; Dario Pavllo; Michael Greeff; Andreas Krause 001 (CVPR Workshops, 2020)

Learning Representations For Images With Hierarchical Labels. - Ankit Dhall (CoRR, 2020)

AMZ Driverless: The full autonomous racing system. - Juraj Kabzan; Miguel de la Iglesia Valls; Victor J. F. Reijgwart; Hubertus Franciscus Cornelis Hendrikx; Claas Ehmke; Manish Prajapat; Andreas Bühler; Nikhil Bharadwaj Gosala; Mehak Gupta; Ramya Sivanesan; Ankit Dhall; Eugenio Chisari; et al. (J. Field Robotics, 2020)