papers

Publications (5)

cs.CV2022

Planar Geometry and Image Recovery from Motion-Blur

Kuldeep Purohit, Subeesh Vasu, M. Purnachandra Rao +1

Existing works on motion deblurring either ignore the effects of depth-dependent blur or work with the assumption of a multi-layered scene wherein each layer is modeled in the form…

cs.CV2018

PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report

Andrey Ignatov, Radu Timofte, Thang Van Vu +45

This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tra…

cs.CV2022

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation

Subeesh Vasu, Nicolas Talabot, Artem Lukoianov +3

Deep implicit surfaces excel at modeling generic shapes but do not always capture the regularities present in manufactured objects, which is something simple geometric primitives a…

cs.CV2020

TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation

Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro +1

Most state-of-the-art approaches to road extraction from aerial images rely on a CNN trained to label road pixels as foreground and remainder of the image as background. The CNN is…

cs.CV2018

Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network

Subeesh Vasu, Nimisha Thekke Madam, Rajagopalan A. N

Convolutional neural network (CNN) based methods have recently achieved great success for image super-resolution (SR). However, most deep CNN based SR models attempt to improve dis…