Siddhant Haldar
I am a second year PhD student at the CILVR (Computational Intelligence, Learning, Vision and Robotics) group at the Courant Institute of Mathematical Sciences, New York University. I work with Prof. Lerrel Pinto and my research interests lie in the area of generalizable AI, with a focus on robotics and reinforcement learning.
Previously, I completed an Integrated Bachelor's and Masters Degree in Electrical Engineeing at Indian Institute of Technology (IIT), Kharagpur.
My previous internships include working on causal inference at Microsoft Research and IBM Research,
adversarial attacks with Prof. Atul Prakash at MIDAS, University of Michigan, and object detection with Prof. Zheng Liu at ISDPRL Lab, University of British Columbia. My Master's
thesis was on the topic of action quality assessment (AQA) with Prof. Brendan Morris at RTIS Lab, University of Nevada, Las Vegas. I did my Bachelor's thesis
on the topic of attention-guided video inpainting with Dr. Avisek Lahiri and Prof. Pabitra Mitra at IIT Kharagpur. I also worked on developing
the perception and control system modules for self-driving cars at the Autonomous Ground Vehicle Lab, IIT Kharagpur under the supervision of Prof. Debashis Chakravarty. In my spare time, I enjoy hiking, reading and traveling.
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* denotes equal contribution
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Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations
Siddhant Haldar*,
Jyothish Pari*,
Anant Rai,
Lerrel Pinto
arXiv Preprint
project page
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arXiv
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code
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Watch and Match: Supercharging Imitation with Regularized Optimal Transport
Siddhant Haldar,
Vaibhav Mathur,
Denis Yarats,
Lerrel Pinto
CoRL, 2022   (Oral Presentation, Best Paper Award Finalist)
project page
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arXiv
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code
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Network Embedding of Distributional Thesaurus Combined with Word Vectors Leads to Better Representation
Abhik Jana,
Siddhant Haldar,
Pawan Goyal
ESWA, 2022
paper
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Lightweight Modules for Efficient Deep Learning based Image Restoration
Avisek Lahiri,
Sourav Bairagya,
Sutanu Bera,
Siddhant Haldar,
Prabir Kumar Biswas
TCSVT, 2020
arXiv
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code
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Design and Implementation of Autonomous Ground Vehicle for Constrained Environments
Siddhant Haldar et al
IRC, 2019
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Ground Vehicle Odometry using a Non-Intrusive Inertial Speed Sensor
Het Shah*,
Siddhant Haldar*,
Rohit Ner*,
Siddharth Jha*,
Debashish Chakravarty
ICIT, 2019
arXiv
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Off-Road Lane Detection Using Superpixel Clustering And RANSAC Curve Fitting
Sanskar Agrawal*,
Indu Kant Deo*,
Siddhant Haldar*,
G. Rahul Krantikiran*,
Debashish Chakravarty
ICARCV, 2018
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