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Hi there šŸ‘‹! I am Piyush Bagad!

  • šŸ”­ I am currently a first-year DPhil student at the University of Oxford. I am advised by Prof. Andrew Zisserman of the VGG lab.
  • šŸ”­ Previously, I was a MSc in AI student at University of Amsterdam
  • šŸŒ± Iā€™m interested in a variety of areas centred around video understanding.
  • šŸ“« More details - bpiyush.github.io. You can always reach me on my email

Piyush Bagad's Projects

avid-cma icon avid-cma

Audio Visual Instance Discrimination with Cross-Modal Agreement

bayesopt icon bayesopt

Scalable Bayesian Optimization : Comparison of various methods

bpiyush icon bpiyush

My personal introductory repository

clip-grounding icon clip-grounding

Evaluating CLIP's cross-modal grounding using explainability methods.

clip4clip-time icon clip4clip-time

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

condensedmovies-avt icon condensedmovies-avt

Story-Based Retrieval with Contextual Embeddings. Largest freely available movie video dataset. [ACCV'20]

correlation-gan icon correlation-gan

Exploration of effect of correlations among features on GAN generation ability

cv1labs icon cv1labs

Code for lab assignments for Computer Vision 1 (UvA)

ddsp-pytorch icon ddsp-pytorch

Implementation of DDSP (PyTorch), Differentiable Digital Signal Processing (ICLR 2020)

digan icon digan

Official PyTorch implementation of Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks (ICLR 2022).

dino-local icon dino-local

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

fcn-f0 icon fcn-f0

Fully-Convolutional Network for Pitch Estimation of Speech Signals

hydra-tutorial icon hydra-tutorial

Basic tutorial (template) for using hydra configs for ML projects

just-the-docs icon just-the-docs

A modern, high customizable, responsive Jekyll theme for documention with built-in search.

mesa icon mesa

Mesa is a agent-based modeling framework in Python

ml-aid icon ml-aid

Utilities for ML and AI Development towards research

ml-engg-docs icon ml-engg-docs

Documentation for useful tools and best practices for real-world ML engineering

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