Siddhant Haldar

I am a 3rd 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 multimodal policy learning at Nuro, causal inference at Microsoft Research and IBM Research, adversarial attacks with Prof. Atul Prakash at MIDAS, University of Michigan, and multimodal 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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profile photo
* denotes equal contribution
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations
Siddhant Haldar*, Jyothish Pari*, Anant Rai, Lerrel Pinto
RSS 2023   (Best Student Paper Award)
project page / arXiv / paper / code

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 / arXiv / paper / code

Network Embedding of Distributional Thesaurus Combined with Word Vectors Leads to Better Representation
Abhik Jana, Siddhant Haldar, Pawan Goyal
ESWA 2022

Lightweight Modules for Efficient Deep Learning based Image Restoration
Avisek Lahiri, Sourav Bairagya, Sutanu Bera, Siddhant Haldar, Prabir Kumar Biswas
TCSVT 2020
arXiv / code

Design and Implementation of Autonomous Ground Vehicle for Constrained Environments
Siddhant Haldar et al
IRC 2019

Ground Vehicle Odometry using a Non-Intrusive Inertial Speed Sensor
Het Shah*, Siddhant Haldar*, Rohit Ner*, Siddharth Jha*, Debashish Chakravarty
ICIT 2019

Off-Road Lane Detection Using Superpixel Clustering And RANSAC Curve Fitting
Sanskar Agrawal*, Indu Kant Deo*, Siddhant Haldar*, G. Rahul Krantikiran*, Debashish Chakravarty

Teaching Assistant, CSCI-UA 473: Introduction to Machine Learning, Fall 2022
Blog Posts

Causal Inference : An Introduction
Gradient-based Adversarial Attacks : An Introduction

Yep! It's another Jon Barron template.