Machine Learning / Artificial Intelligence
Sparse-view 3D Reconstruction | website
Jan 2022 – Present
- Working on the reconstruction of novel views given a few (3-5) context views with approximate cameras.
- Developed a Transformer-based model that outperforms PixelNeRF on generalization and compute overhead.
Pytorch Boiler | github
2022
- A simple user-friendly boilerplate code for training PyTorch models
- Enables training classifier models in 40-lines of code (incl. imports and function calls!)
Multi-GAN Distillation | website | github
Jan 2022 – May 2022
- Developed a framework for data-free knowledge transfer across StyleGANs to cater to single-source and multi-source knowledge distillation scenarios
Background Removal / Blurring | github
2020
- Implemented a simple background removal / blurring application using OpenCV with GrabCut algorithm
Real-Time Face Spoof Detection using a Single RGB Camera | github | report
Aug 2018 – Dec 2018 | Advisor: Prof. Santanu Chaudhury
- Implemented a stable face tracking using Haar Cascades & ROI thresholding
- Trained MobileNet on self-collected face spoof data which achieved less than 6% false acceptance rate on imposter detection in NUAA dataset
- Extracted motion-robust remote PPG signals from single RGB webcam for living skin detection
- Recreated RGB images from Hyperspectral images with applications to PPG signal generation
Ethnicity Detection using Deep CNNs | github | report
Dec 2018 | Advisor: Prof Navneet Goyal
- Trained several CNN models for detecting ethnicity of a person
- Compared the effects of size and shape of the network on training and inference
- Obtained 80% accuracy of prediction on a subset of UTKFace dataset
Disaster Related Tweet Detection using Machine Learning | github | report
Nov 2018 | Advisor: Dr. Poonam Goyal
- Applied logistic regression to classify tweets as disaster-related or spam
- Developed a matching-based algorithm inspired by Hien To et al. to retrieve disaster-related tweets
- Demonstrated the effectiveness of learning-based method when used with effective feature extraction techniques and compared it with the matching method
Predicting Final Grades using Machine Learning | github | report
Nov 2018 | Advisor: Prof Navneet Goyal
- Studied the effectiveness of various machine learning models in predicting final grades based on a continuous assessment of undergraduate student performance in a course.
Investigating the Curse of Dimensionality | github | paper
Sep 2018 | Advisor: Prof Navneet Goyal
- Established the effects of high dimensional spaces through various experiments
- Presented some simple solutions to the curse of dimensionality in various use cases
Text Guided Attention Model for Image Captioning | Presentation
Apr 2018 | Advisor: Prof. Surekha Bhanot
- Implemented the paper by Mun et. al. as a proof of concept
- Used CIDEr score to extract guidance captions to train the Attention Model on the MS-COCO 2014 Dataset
- Built the decoder LSTM model to generate captions
Connect – 3 Game Playing Bot | project page | github
Sep 2017 – Dec 2017 | Advisor: Dr. Vandana Agarwal
- Implemented a 2 player Connect-3 game using minimax algorithm
- Obtained a 14 times speedup using alpha-beta pruning during the search
Probabilistic Inference using Bayesian Networks | project page | github
Sep 2017 – Dec 2017 | Advisor: Dr. Vandana Agarwal
- Modeled a real world scenario as a bayesian network to answer queries regarding various events (health problems, accidents etc.) and their factors (air pollution, bad road conditions etc.)
- Used markov blanket of each Random Variable to reduce the number of computations needed to answer the probability query
Improving Sales of a Late Night Restaurant using Data Mining Techniques | github
Oct 2017 – Nov 2017 | Advisor: Dr. Poonam Goyal
- Used Association Rule Mining to find patterns in the sales of the All Night Canteen of BITS Pilani
- Proposed a dynamic pricing scheme to adjust the price of an item based on the hour of the day and the customer type
- Obtained a 5% rise in profits while keeping a low penalty
- Suggested combo offers of low rated items with higher rated items to increase the sales of the low rated items
Jarvis Patrick Clustering in Racket | github
Nov 2017 | Advisor: Dr. Lavika Goel
- Explored functional programming in Racket by implementing Jarvis Patrick Clustering algorithm
Visualizing Perceptron Learning | project page | github
Oct 2017
- Implemented a visualization tool for visualizing the learning process of a perceptron in a 2 dimensional input space
- Used Python’s TKinter graphics for displaying the curve learnt along with positively and negatively classified samples
Classical Computer Science
C-Template Library | github
2020
- Developed a library for generic programming in C using void* pointers, to implement standard data structures and algorithms in C
Compiler | github
Feb 2018 – Apr 2018 | Advisor: Prof. Vandana Agarwal
- Built a partial compiler for a C-like language
- Wrote a DFA based lexer to tokenize source file with error reporting
- Wrote LL(1) compatible grammar for the language
- Built the parse table for LL(1) parsing, along with syntactic checks (and appropriate error reporting)
- Wrote semantic rules to create abstract syntax tree
- Working Abstract Syntax Tree Construction
Logic Programming | github
Nov 2016 | Advisor: Prof. Sundar S. Balasubramaniam
- Used prolog as a predicate logic system to implement a mathematical expression reducer
- Implemented a Knowledge-base query-answering system, to answer questions about the Academic Regulations of BITS Pilani
TINY: An inline Turing Machine Simulator for C++ Language | report | github
2016
- Implemented an inline Turing Machine – a simple c/c++ library that has the functions to simulate a turing machine inline with c/c++ code
Other Projects
The following are some pet projects I am doing / have done in the past. The list is not exhaustive. Please visit my github profile for latest updates.
- Simple-DB : A simple JSON-like data storage, retrival and presentation API
- PACRYPT : A PolyAlphabet enCRYPTion program
- ds : Scalable implementations of common data structures
- spin-ui : A light-weight customizable browser based text editor
- hello : A clean about-me website template
High School Projects
The following few apps are among the many that I made as fun projects in my high school. They are written in Visual Basic 6. More on github.
- Writer MDI : A light-weight Multi Document Interface, word processor
- Media Studio : A wrapper for the Windows Media Player control
- Surf : Used the internet explorer control to build a web browser wrapper
Naveen Venkat 