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About Me

I'm a second-year MSc student in Machine Learning at the University of Tübingen, where I am focusing on developing robust algorithms for real-world Vision and Language tasks.

Previous Roles - Zurich University of Applied Sciences, Singapore Management University, Australian National University, Jadavpur University

🌱 I’m currently learning Vision-Language Integration, specifically image-text alignment methods
📫 How to reach me: Email / Website / Scholar / LinkedIn / Instagram / YouTube

Adhiraj Ghosh's Projects

face_mask_detector icon face_mask_detector

Object Detection Model to accurately detect whether a person in an image is wearing a face mask or not.

instance_segmentation icon instance_segmentation

This project deals with the task of implementing instance segmentation for a given dataset using Mask-RCNN architecture.

irony-bengali-baseline icon irony-bengali-baseline

This is the project page of the dataset for the binary and multi-label classification of irony in Bengali Tweets.

neural-networks-and-deep-learning icon neural-networks-and-deep-learning

This repository contains the programming assignments of the popular Coursera Course, "Neural Networks and Deep Learning" by deeplearning.ai. This repository contains the notebooks used during the assignement as well as the course certificate.

omr-prototype_factory icon omr-prototype_factory

Tool to render modified .png files from .svg encoded graphics for music notes. Helpful in post-processing for object detection in Optical Music Recognition.

omr-uda icon omr-uda

[TISMIR'23] The official code for implementing Unsupervised Domain Adaptation from "Real world music object recognition"

rptm_reid icon rptm_reid

[WACV'23] The official code for "Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems"

s2anet icon s2anet

Official code of the paper "Align Deep Features for Oriented Object Detection"

vipe icon vipe

[EMNLP'23] ViPE: Visualise Pretty-much Everything

vipe_videos icon vipe_videos

Generating music videos through ViPE and deforum stable diffusion

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