activity
20202023
most citedTrans2k: Unlocking the Power of Deep Models for Transparent Object Tracking

6 citations · 16 across the 10 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

MFT: Long-Term Tracking of Every Pixel

Michal Neoral, Jonáš Šerých, Jiří Matas

We propose MFT -- Multi-Flow dense Tracker -- a novel method for dense, pixel-level, long-term tracking. The approach exploits optical flows estimated not only between consecutive…

cs.CV2023★ 1 cited

Calibrated Out-of-Distribution Detection with a Generic Representation

Tomas Vojir, Jan Sochman, Rahaf Aljundi +1

Out-of-distribution detection is a common issue in deploying vision models in practice and solving it is an essential building block in safety critical applications. Most of the ex…

cs.CV2023

Video shutter angle estimation using optical flow and linear blur

David Korcak, Jiri Matas

We present a method for estimating the shutter angle, a.k.a. exposure fraction - the ratio of the exposure time and the reciprocal of frame rate - of videoclips containing motion.…

cs.CV2023★ 2 cited

BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects

Martin Sundermeyer, Tomas Hodan, Yann Labbe +5

We present the evaluation methodology, datasets and results of the BOP Challenge 2022, the fourth in a series of public competitions organized with the goal to capture the status q…

cs.CV2023★ 1 cited

A Large Scale Homography Benchmark

Daniel Barath, Dmytro Mishkin, Michal Polic +2

We present a large-scale dataset of Planes in 3D, Pi3D, of roughly 1000 planes observed in 10 000 images from the 1DSfM dataset, and HEB, a large-scale homography estimation benchm…