MPhil/Part II dissertations

I am open to discussing Part II projects in low-level Computer vision and Machine learning (applied to image/video data). Here is list of projects I am supervising/have supervised in the past:

(2023) Pranav Talluri: Denoising Diffusion Probabilistic Models for Image Inpainting
(2022) Max McGuinness: Image rescaling using invertible neural networks by probabilistic disentanglement
(2022) Aravind Prabhakaran: Multi-monitor Gaze-tracking Assisted Mouse Control
(2020) Wilson Suen: Image segmentation by depth and color

Teaching and supervisions

During my time in the Computer Lab at Cambridge, I have supervised, demonstrated or helped design the following courses:

MPhil ACS/Part II Machine Visual Perception

Michaelmas 2022
Course page: https://www.cst.cam.ac.uk/teaching/2223/L355/
Helped design the course, supervise course projects, and delivered a talk

MPhil ACS/Part II Advanced graphics and image processing

Michaelmas 2022, 2021
Lent 2020, 2019
Course page: https://www.cst.cam.ac.uk/teaching/2223/L352/
Helped design and evaluate ticks
Supervised 2 MPhil projects

IA Introduction to Graphics

Michaelmas 2022 , 2021, 2019
Course page: https://www.cl.cam.ac.uk/teaching/2223/Graphics/
Ticking, supervision and demonstrating

IA Introduction to Probability

Easter 2021
Course page: https://www.cst.cam.ac.uk/teaching/2021/IntroProb/
Supervised 3 groups for 3 sessions each

IA Algorithms

Lent 2021, 2020
Course page: https://www.cst.cam.ac.uk/teaching/2122/Algorithms/
Supervised a total of 6 groups for 6 sessions each

II Machine Learning and Bayesian Inference

Lent 2021
Course page: https://www.cst.cam.ac.uk/teaching/2122/MLBayInfer/
Supervised 3 groups for 4 sessions each

IB Programming in C and C++

Michaelmas 2020
Course page: https://www.cst.cam.ac.uk/teaching/2021/ProgC/
Supervised 4 groups for 4 sessions each

IB Further Graphics

Michaelmas 2019 Course page: https://www.cl.cam.ac.uk/teaching/1920/FGraphics/
Supervised 7 groups for 2 sessions each