Publications

Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause (2020). Hierarchical Image Classification Using Entailment Cone Embeddings.

PDF Code Dataset Project Slides

Ankit Dhall (2020). Learning Representations for Images With Hierarchical Labels.

PDF Code Dataset Project Slides

Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart, Hubertus FC Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart (2019). AMZ Driverless: The Full Autonomous Racing System.

PDF Project

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

PDF Project Video

Ankit Dhall (2018). Real-time 3D Pose Estimation with a Monocular Camera Using Deep Learning and Object Priors.

PDF Project

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

PDF Code Project

Abhinav Valada, Johan Vertens, Ankit Dhall, Wolfram Burgard (2017). AdapNet: Adaptive Semantic Segmentation in Adverse Environmental Conditions.

PDF Code Dataset Project Video

Ankit Dhall, Abhinav Valada, Wolfram Burgard (2016). Convoluted Mixture of Deep Experts for Robust Semantic Segmentation.

PDF Code Dataset Project Slides

Andreas Veit, Michael Wilber, Rajan Vaish, Serge Belongie, James Davis, ..., Ankit Dhall, et al. (2015). On Optimizing Human-Machine Task Assignments.

PDF