6 citations · 16 across the 10 of their papers we have counts for
11 papers
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…
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…
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.…
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…
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…
Generalized Differentiable RANSAC
Tong Wei, Yash Patel, Alexander Shekhovtsov +2
We propose -RANSAC, a generalized differentiable RANSAC that allows learning the entire randomized robust estimation pipeline. The proposed approach enables the use of rela…
Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking
Alan Lukezic, Ziga Trojer, Jiri Matas +1
Visual object tracking has focused predominantly on opaque objects, while transparent object tracking received very little attention. Motivated by the uniqueness of transparent obj…
Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis
Phong Nguyen-Ha, Lam Huynh, Esa Rahtu +2
We present CG-NeRF, a cascade and generalizable neural radiance fields method for view synthesis. Recent generalizing view synthesis methods can render high-quality novel views usi…
Fast Neural Architecture Search for Lightweight Dense Prediction Networks
Lam Huynh, Esa Rahtu, Jiri Matas +1
We present LDP, a lightweight dense prediction neural architecture search (NAS) framework. Starting from a pre-defined generic backbone, LDP applies the novel Assisted Tabu Search…
Finding Geometric Models by Clustering in the Consensus Space
Daniel Barath, Denys Rozumny, Ivan Eichhardt +2
We propose a new algorithm for finding an unknown number of geometric models, e.g., homographies. The problem is formalized as finding dominant model instances progressively withou…
Neural Network-based Acoustic Vehicle Counting
Slobodan Djukanović, Yash Patel, Jiři Matas +1
This paper addresses acoustic vehicle counting using one-channel audio. We predict the pass-by instants of vehicles from local minima of clipped vehicle-to-microphone distance. Thi…