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Hello there, I'm Viswesh!

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I am a final year at IIT Kharagpur, pursuing my B.Tech in Electrical Engineering . I am currently working with Prof. Igor Gilitschenski on developing learning-based state estimation pipelines for the navigation of autonomous vehicles in unforseen environments, at theToronto Intelligent Systems Lab at UofT. You can find my past experiences at Experiences

My research interests lie in multi-agent robotics, state estimation, and I am eager to apply reinforcement learning techniques to solve autonomous driving and other robotic tasks.

In my free time, I love playing football, hiking and occasionally play the keyboard. I've also been getting into Basketball lately so feel free to bring it up in a conversation :]

I've also worked at Drive Analytics, wherein I built a customized basketball tracker using Computer Vision and Deep Learning.

I'm open to collaborate on Robotics and Machine learning projects and seek to contribute to the field of robotics.

  • 📫 How to reach me: Feel free to reach out on any of the above socials
  • 😄 Pronouns: He/Him

Viswesh N's Projects

bts icon bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

daformer icon daformer

Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation [CVPR22]

human-path-prediction icon human-path-prediction

State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

iac-slam icon iac-slam

A repo containing the relevant files pertaining to my SLAM work in the IAC

ivy icon ivy

The Unified Machine Learning Framework

meltingpot icon meltingpot

A suite of test scenarios for multi-agent reinforcement learning.

mlrc icon mlrc

Editorial venue for ML Reproducibility Challenge Accepted papers

mlrc-2021 icon mlrc-2021

A repo consisting of my work towards MLRC '21

mplug-owl icon mplug-owl

[Official Implementation] mPLUG-Owl & mPLUG-Owl2: Alibaba MLLM Family.

overcooked_ai icon overcooked_ai

A benchmark environment for fully cooperative human-AI performance.

pytorch_basics icon pytorch_basics

A repo containing tutorials for the implementation of basic stuff in PyTorch

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

urc-controls icon urc-controls

A repo containing the work done for URC - Controls module

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