Ankit Dhall

I am a graduate student at ETH-Zurich studying Robotics and am particularly interested in exploring the intersection of Computer Vision and Machine Learning.

Currently, I contribute to the Computer Vision package at Academic Motorsport Association of Zurich (AMZ) for the Formula Student: Driverless, Season 2018.

In 2015, I had the opportunity to work with Prof. James Davis and Rajan Vaish during my sophomore year. I spent a wonderful summer of 2016 with Prof. Wolfram Burgard's research group at the University of Freiburg, Germany funded by DAAD. I completed my Bachelor's at VIT University studying Computer Science and my thesis at Prof. K.M. Krishna's lab at Robotics Research Center, IIIT-Hyderabad.

Email  /  CV  /  Google Scholar  /  LinkedIn  /  Github


I'm interested in computer vision, image processing and machine learning.

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

abstract | arXiv | ROS package | widely forked GitHub repo | videos [1] [2] [3]

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

abstract | project page + web demo | videos [1] [2] [3]

Convoluted Mixture of Deep Experts for Robust Semantic Segmentation
Abhinav Valada*, Ankit Dhall*, Wolfram Burgard
State Estimation and Terrain Perception for All Terrain Mobile Robots Workshop at IROS, 2016

abstract | project page + web demo

On Optimizing Human-Machine Task Assignments
Andreas Veit, Michael Wilber, Rajan Vaish, Serge Belongie, James Davis, ..., Ankit Dhall, et al.
Work-in-Progress at HCOMP, 2015

abstract | arXiv

Template credits: Jon Barron.