activity
20172021
most citedCoplanar Repeats by Energy Minimization

7 citations · 8 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV20211 cited

Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects

Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari +1

We address the novel task of jointly reconstructing the 3D shape, texture, and motion of an object from a single motion-blurred image. While previous approaches address the deblurr…

cs.CV2019

Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects

Denys Rozumnyi, Jan Kotera, Filip Sroubek +1

We propose a novel method that tracks fast moving objects, mainly non-uniform spherical, in full 6 degrees of freedom, estimating simultaneously their 3D motion trajectory, 3D pose…

cs.CV2019

Non-Causal Tracking by Deblatting

Denys Rozumnyi, Jan Kotera, Filip Šroubek +1

Tracking by Deblatting stands for solving an inverse problem of deblurring and image matting for tracking motion-blurred objects. We propose non-causal Tracking by Deblatting which…

cs.CV2019

Learned Semantic Multi-Sensor Depth Map Fusion

Denys Rozumnyi, Ian Cherabier, Marc Pollefeys +1

Volumetric depth map fusion based on truncated signed distance functions has become a standard method and is used in many 3D reconstruction pipelines. In this paper, we are general…

cs.CV2019

Intra-frame Object Tracking by Deblatting

Jan Kotera, Denys Rozumnyi, Filip Šroubek +1

Objects moving at high speed along complex trajectories often appear in videos, especially videos of sports. Such objects elapse non-negligible distance during exposure time of a s…

cs.CV20177 cited

Coplanar Repeats by Energy Minimization

James Pritts, Denys Rozumnyi, M. Pawan Kumar +1

This paper proposes an automated method to detect, group and rectify arbitrarily-arranged coplanar repeated elements via energy minimization. The proposed energy functional combine…