2 citations · 4 across the 5 of their papers we have counts for
5 papers
Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
Bang-Dang Pham, Phong Tran, Anh Tran +3
This paper presents an innovative framework designed to train an image deblurring algorithm tailored to a specific camera device. This algorithm works by transforming a blurry inpu…
Simple Transferability Estimation for Regression Tasks
Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho +4
We consider transferability estimation, the problem of estimating how well deep learning models transfer from a source to a target task. We focus on regression tasks, which receive…
HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering
Bang-Dang Pham, Phong Tran, Anh Tran +3
We consider the challenging task of training models for image-to-video deblurring, which aims to recover a sequence of sharp images corresponding to a given blurry image input. A c…
Explore Image Deblurring via Blur Kernel Space
Phong Tran, Anh Tran, Quynh Phung +1
This paper introduces a method to encode the blur operators of an arbitrary dataset of sharp-blur image pairs into a blur kernel space. Assuming the encoded kernel space is close e…
FineNet: Frame Interpolation and Enhancement for Face Video Deblurring
Phong Tran, Anh Tran, Thao Nguyen +1
The objective of this work is to deblur face videos. We propose a method that tackles this problem from two directions: (1) enhancing the blurry frames, and (2) treating the blurry…