b'Jiri Matas'

research

∙ 12/22/2021

A Discriminative Single-Shot Segmentation Network for Visual Object Tracking

Template-based discriminative trackers are currently the dominant tracki...

Alan Lukežič, et al. ∙

research

∙ 12/15/2021

FEAR: Fast, Efficient, Accurate and Robust Visual Tracker

We present FEAR, a novel, fast, efficient, accurate, and robust Siamese ...

Vasyl Borsuk, et al. ∙

research

∙ 12/06/2021

Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook

Accurate and robust visual object tracking is one of the most challengin...

Sajid Javed, et al. ∙

research

∙ 11/28/2021

Deep MAGSAC++

We propose Deep MAGSAC++ combining the advantages of traditional and dee...

Wei Tong, et al. ∙

research

∙ 11/22/2021

Point Cloud Color Constancy

In this paper, we present Point Cloud Color Constancy, in short PCCC, an...

Xiaoyan Xing, et al. ∙

research

∙ 09/06/2021

Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds

Humans can robustly recognize and localize objects by using visual and/o...

Dengxin Dai, et al. ∙

research

∙ 08/25/2021

Lightweight Monocular Depth with a Novel Neural Architecture Search Method

This paper presents a novel neural architecture search method, called Li...

Lam Huynh, et al. ∙

research

∙ 08/25/2021

Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss

Deep neural networks have recently thrived on single image depth estimat...

Lam Huynh, et al. ∙

research

∙ 06/22/2021

The Hitchhiker's Guide to Prior-Shift Adaptation

In many computer vision classification tasks, class priors at test time ...

Tomas Sipka, et al. ∙

research

∙ 06/18/2021

VSAC: Efficient and Accurate Estimator for H and F

We present VSAC, a RANSAC-type robust estimator with a number of novelti...

Maksym Ivashechkin, et al. ∙

research

∙ 04/11/2021

USACv20: robust essential, fundamental and homography matrix estimation

We review the most recent RANSAC-like hypothesize-and-verify robust esti...

Maksym Ivashechkin, et al. ∙

research

∙ 03/25/2021

Progressive-X+: Clustering in the Consensus Space

We propose Progressive-X+, a new algorithm for finding an unknown number...

Daniel Barath, et al. ∙

research

∙ 03/18/2021

Danish Fungi 2020 – Not Just Another Image Recognition Dataset

We introduce a novel fine-grained dataset and benchmark, the Danish Fung...

Lukáš Picek, et al. ∙

research

∙ 12/18/2020

Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion

In this paper, we address the problem of fusing monocular depth estimati...

Lam Huynh, et al. ∙

research

∙ 12/15/2020

FMODetect: Robust Detection and Trajectory Estimation of Fast Moving Objects

We propose the first learning-based approach for detection and trajector...

Denys Rozumnyi, et al. ∙

research

∙ 12/01/2020

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

Objects moving at high speed appear significantly blurred when captured ...

Denys Rozumnyi, et al. ∙

research

∙ 11/29/2020

RGBD-Net: Predicting color and depth images for novel views synthesis

We address the problem of novel view synthesis from an unstructured set ...

Phong Nguyen, et al. ∙

research

∙ 11/24/2020

Efficient Initial Pose-graph Generation for Global SfM

We propose ways to speed up the initial pose-graph generation for global...

Daniel Barath, et al. ∙

research

∙ 11/09/2020

Fast Fourier Intrinsic Network

We address the problem of decomposing an image into albedo and shading. ...

Yanlin Qian, et al. ∙

research

∙ 10/22/2020

Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow

The paper presents a method for audio-based vehicle counting (VC) in low...

Slobodan Djukanović, et al. ∙

research

∙ 10/11/2020

ArXiving Before Submission Helps Everyone

We claim, and present evidence, that allowing arXiv publication before a...

Dmytro Mishkin, et al. ∙

research

∙ 09/15/2020

BOP Challenge 2020 on 6D Object Localization

This paper presents the evaluation methodology, datasets, and results of...

Tomas Hodan, et al. ∙

research

∙ 07/06/2020

Text Recognition – Real World Data and Where to Find Them

We present a method for exploiting weakly annotated images to improve te...

Klára Janoušková, et al. ∙

research

∙ 04/06/2020

Guiding Monocular Depth Estimation Using Depth-Attention Volume

Recovering the scene depth from a single image is an ill-posed problem t...

Lam Huynh, et al. ∙

research

∙ 04/01/2020

EPOS: Estimating 6D Pose of Objects with Symmetries

We present a new method for estimating the 6D pose of rigid objects with...

Tomas Hodan, et al. ∙

research

∙ 03/08/2020

A Benchmark for Temporal Color Constancy

Temporal Color Constancy (CC) is a recently proposed approach that chall...

Yanlin Qian, et al. ∙

research

∙ 03/03/2020

Image Matching across Wide Baselines: From Paper to Practice

We introduce a comprehensive benchmark for local features and robust est...

Yuhe Jin, et al. ∙

research

∙ 12/11/2019

MAGSAC++, a fast, reliable and accurate robust estimator

A new method for robust estimation, MAGSAC++, is proposed. It introduces...

Daniel Barath, et al. ∙

research

∙ 12/02/2019

DAL – A Deep Depth-aware Long-term Tracker

The best RGBD trackers provide high accuracy but are slow to run. On the...

Yanlin Qian, et al. ∙

research

∙ 11/25/2019

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

We propose a novel method that tracks fast moving objects, mainly non-un...

Denys Rozumnyi, et al. ∙

research

∙ 11/20/2019

D3S – A Discriminative Single Shot Segmentation Tracker

Template-based discriminative trackers are currently the dominant tracki...

Alan Lukežič, et al. ∙

research

∙ 09/15/2019

Non-Causal Tracking by Deblatting

Tracking by Deblatting stands for solving an inverse problem of deblurri...

Denys Rozumnyi, et al. ∙

research

∙ 08/07/2019

Visual Coin-Tracking: Tracking of Planar Double-Sided Objects

We introduce a new video analysis problem -- tracking of rigid planar ob...

Jonáš Šerých, et al. ∙

research

∙ 07/13/2019

ALFA: Agglomerative Late Fusion Algorithm for Object Detection

We propose ALFA - a novel late fusion algorithm for object detection. AL...

Evgenii Razinkov, et al. ∙

research

∙ 07/01/2019

ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019

With the growing cosmopolitan culture of modern cities, the need of robu...

Nibal Nayef, et al. ∙

research

∙ 07/01/2019

CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark

A long-term visual object tracking performance evaluation methodology an...

Alan Lukežič, et al. ∙

research

∙ 06/19/2019

Performance Evaluation Methodology for Long-Term Visual Object Tracking

A long-term visual object tracking performance evaluation methodology an...

Alan Lukežič, et al. ∙

research

∙ 06/05/2019

Progressive NAPSAC: sampling from gradually growing neighborhoods

We propose Progressive NAPSAC, P-NAPSAC in short, which merges the advan...

Daniel Barath, et al. ∙

research

∙ 06/05/2019

Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm

The Progressive-X algorithm, Prog-X in short, is proposed for geometric ...

Daniel Barath, et al. ∙

research

∙ 05/09/2019

Intra-frame Object Tracking by Deblatting

Objects moving at high speed along complex trajectories often appear in ...

Jan Kotera, et al. ∙

research

∙ 02/28/2019

Rolling Shutter Camera Synchronization with Sub-millisecond Accuracy

A simple method for synchronization of video streams with a precision be...

Matej Smid, et al. ∙

research

∙ 02/27/2019

Flash Lightens Gray Pixels

In the real world, a scene is usually cast by multiple illuminants and h...

Yanlin Qian, et al. ∙

research

∙ 01/28/2019

Leveraging Outdoor Webcams for Local Descriptor Learning

We present AMOS Patches, a large set of image cut-outs, intended primari...

Milan Pultar, et al. ∙

research

∙ 01/09/2019

On Finding Gray Pixels

We propose a novel grayness index for finding gray pixels and demonstrat...

Yanlin Qian, et al. ∙

research

∙ 11/27/2018

Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters

Standard RGB-D trackers treat the target as an inherently 2D structure, ...

Uğur Kart, et al. ∙

research

∙ 11/23/2018

LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks

This paper addresses the challenging problem of acquiring high-quality p...

Janne Mustaniemi, et al. ∙

research

∙ 11/05/2018

Continual Occlusions and Optical Flow Estimation

Two optical flow estimation problems are addressed: i) occlusion estimat...

Michal Neoral, et al. ∙

research

∙ 10/09/2018

A Summary of the 4th International Workshop on Recovering 6D Object Pose

This document summarizes the 4th International Workshop on Recovering 6D...

Tomas Hodan, et al. ∙

research

∙ 10/01/2018

Inertial-aided Motion Deblurring with Deep Networks

We propose an inertial-aided deblurring method that incorporates gyrosco...

Janne Mustaniemi, et al. ∙

research

∙ 08/24/2018

BOP: Benchmark for 6D Object Pose Estimation

We propose a benchmark for 6D pose estimation of a rigid object from a s...

Tomas Hodan, et al. ∙

Jiri Matas

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