Supervision of project ideas designed by me (unless stated otherwise), which are carried out by undergraduate (BS/MS) students since 2017, and by PhD students since 2021.

2022

Adaptive deep image denoising and super-resolution. (PhD, co-designed)

Estimation and likelihood of Poisson-Gaussian image noise parameters. (3 MS)

Towards drone image super-resolution; dataset and single-image method. (MS Thesis)

Drone vision data acquisition, alignment, and segmentation benchmarking. (MS, co-designed, advised)

2021

Adversarial robustness with Langevin dynamics on deep denoisers. (PhD)

Detection of fake media with video and audio manipulations. (PhD, advised, based on this challenge)

Controllable confidence-based image restoration with a focus on denoising. (3 MS)

Robust degraded-image classification using image restoration data fidelity. (MS)

2020

Exploring ensembles and uncertainty minimization in denoising networks. (MS)

Depth-of-field extension of microscopy cornea scans with classical methods. (3 MS)

Depth-of-field extension of microscopy cornea scans with machine learning. (3 MS)

Video denoising on FPGA. (2 MS, student-proposed project)

Single-image relighting with deep learning. (5 MS)

Deep learning for widefield to SIM image restoration. (MS)

2019

Extreme video completion generalization // Data priors in neural networks. (MS)

Deep feature disentanglement and scene relighting. (MS)

2018

Extreme video completion algorithm design. (MS)

Drone shadow tracking in aerial videos. (BS)

Human body pose morphing dataset and analysis. (BS)

Frequency-domain image super-resolution. (3 MS)

2017

Music recommendation algorithm. (BS)

Image location website front-end and gamification. (MS)

Least significant bit steganography algorithm. (MS)

Image location website back-end, and user analytics. (MS)