Siddhant Bansal

Code for HOPformer released in ECCV 2026 Paper "Towards in-the-wild Egocentric 3D Hand-Object Pose Estimation"

A curated list of egocentric (first-person) vision and related area resources

Code implementation for paper titled "HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision"

Code implementation for our ECCV, 2022 paper titled "My View is the Best View: Procedure Learning from Egocentric Videos"

Using deep learning to detect smiles from a live video feed.

Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"

Code implementation for our DAS, 2020 paper titled "Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval"

Demonstration of Object Detection using MobileNets

A demonstration of Reinforcement Learning applied to a car.

Code for beer label classification using SIFT and ORB

Problem of prediction of son's height based on fathers's height, solved using Liner Regression Algorithm.

This repository contains codes made during learning from Pyimage's Deep learning bundle

Trying to train a Neural Network from scratch without using any NN library for recognising handwritten digits using MNIST dataset.

Neural Networks for predicting diabetes from Fingerprints.

Code for Point Cloud Generation

Pipeline for point cloud to 3D object creation.

Series of blogs by Siddhant

Python code for watching a ANN play cart-pole

COVID-19 SIR model estimation

Personal Website for Siddhant Bansal

Description for the GitHub account

In this repository I'll share the codes that I have made while learning Image Processing Techniques

In this repository I'll share the Programs made while learning from Python to access Web Data using Python offered by University of Michigan on Coursera.

This repository contains codes of Problem statements posted in course MIT 6.00.2x on edX offered by MIT

In this repository I'll share the codes that I have made to solve Code Chef problems

Here is the code for making a Neural Network in 9 lines of code.

In this repository I'll share the Jupyter Notebooks made while learning from Applied Data Science using Python offered by University of Michigan on Coursera.

This repository contains codes made during learning about Logistic Regression.

This repository contains codes made during learning about Neural Networks.

This repository contains codes for Problem statements posted in course MIT 6.00.1x on edX offered by MIT.

Classify the anime to answer various questions.

This repository contains codes made during learning PyTorch

Datasets, Transforms and Models specific to Computer Vision

Easy to interface library with various 3D softwares

Webpage for our IJCV paper "An Outlook into the Future of Egocentric Vision"

Github.io page for EGO4D

No description.