227 citations · 254 across the 7 of their papers we have counts for
8 papers
Animal Identification with Independent Foreground and Background Modeling
Lukas Picek, Lukas Neumann, Jiri Matas
We propose a method that robustly exploits background and foreground in visual identification of individual animals. Experiments show that their automatic separation, made easy wit…
Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views
Robert McCraith, Eldar Insafutdinov, Lukas Neumann +1
We present a system for automatic converting of 2D mask object predictions and raw LiDAR point clouds into full 3D bounding boxes of objects. Because the LiDAR point clouds are par…
Real Time Monocular Vehicle Velocity Estimation using Synthetic Data
Robert McCraith, Lukas Neumann, Andrea Vedaldi
Vision is one of the primary sensing modalities in autonomous driving. In this paper we look at the problem of estimating the velocity of road vehicles from a camera mounted on a m…
Least Redundant Gated Recurrent Neural Network
Łukasz Neumann, Łukasz Lepak, Paweł Wawrzyński
Recurrent neural networks are important tools for sequential data processing. However, they are notorious for problems regarding their training. Challenges include capturing comple…
Calibrating Self-supervised Monocular Depth Estimation
Robert McCraith, Lukas Neumann, Andrea Vedaldi
In the recent years, many methods demonstrated the ability of neural networks to learn depth and pose changes in a sequence of images, using only self-supervision as the training s…
Monocular Depth Estimation with Self-supervised Instance Adaptation
Robert McCraith, Lukas Neumann, Andrew Zisserman +1
Recent advances in self-supervised learning havedemonstrated that it is possible to learn accurate monoculardepth reconstruction from raw video data, without using any 3Dground tru…
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
Andreas Veit, Tomas Matera, Lukas Neumann +2
This paper describes the COCO-Text dataset. In recent years large-scale datasets like SUN and Imagenet drove the advancement of scene understanding and object recognition. The goal…
Efficient Scene Text Localization and Recognition with Local Character Refinement
Lukáš Neumann, Jiří Matas
An unconstrained end-to-end text localization and recognition method is presented. The method detects initial text hypothesis in a single pass by an efficient region-based method a…