AdapNet: Adaptive Semantic Segmentation in Adverse Environmental Conditions A Valada, J Vertens, A Dhall, Burgard, Wolfram IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017 | 227 | 2017 |
LiDAR-Camera Calibration using 3D-3D Point correspondences A Dhall, K Chelani, V Radhakrishnan, KM Krishna https://arxiv.org/abs/1705.09785, 2017 | 185* | 2017 |
AMZ driverless: The full autonomous racing system J Kabzan, MI Valls, VJF Reijgwart, HFC Hendrikx, C Ehmke, M Prajapat, ... Journal of Field Robotics 37 (7), 1267-1294, 2020 | 143 | 2020 |
Hierarchical Image Classification using Entailment Cone Embeddings A Dhall, A Makarova, O Ganea, D Pavllo, M Greeff, A Krause Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 47 | 2020 |
Real-time 3D traffic cone detection for autonomous driving A Dhall, D Dai, L Van Gool IEEE Intelligent Vehicles (IV) 2019, Paris, 2019 | 42 | 2019 |
Convoluted Mixture of Deep Experts for Robust Semantic Segmentation A Valada*, A Dhall*, W Burgard Intelligent Robots and Systems (IROS 2016) IEEE/RSJ International Conference …, 2016 | 33 | 2016 |
Real-time 3D Pose Estimation with a Monocular Camera Using Deep Learning and Object Priors On an Autonomous Racecar A Dhall arXiv preprint arXiv:1809.10548, 2018 | 4 | 2018 |
On optimizing human-machine task assignments A Veit, M Wilber, R Vaish, S Belongie, J Davis, V Anand, A Aviral, ... WiP at AAAI HCOMP 2015, arXiv preprint arXiv:1509.07543, 2015 | 3 | 2015 |
Learning Representations For Images With Hierarchical Labels A Dhall ETH Zurich, 2020 | 2 | 2020 |
Systems and methods for traffic light detection L Zhou, J Yang, A Dhall US Patent US20210211568A1, 2021 | | 2021 |
ETH Entomological Collection (ETHEC) Dataset A Dhall ETH Research Collection, 2019 | | 2019 |