1 code implementation • ICCV 2023 • Xin Liu, Fatemeh Karimi Nejadasl, Jan C. van Gemert, Olaf Booij, Silvia L. Pintea
2) Improved efficiency by only doing the expensive feature computations on a small subset of all frames.
Ranked #1 on Video Object Detection on Waymo Open Dataset
1 code implementation • 9 Mar 2023 • Zimin Xia, Olaf Booij, Julian F. P. Kooij
The Localization Decoder produces a dense probability distribution in a coarse-to-fine manner with a novel Localization Matching Upsampling module.
1 code implementation • 17 Aug 2022 • Zimin Xia, Olaf Booij, Marco Manfredi, Julian F. P. Kooij
Given a ground-level color image and a satellite patch that contains the local surroundings, the task is to identify the location of the ground camera within the satellite patch.
1 code implementation • CVPR 2022 • Duy-Kien Nguyen, Jihong Ju, Olaf Booij, Martin R. Oswald, Cees G. M. Snoek
Specifically, we present BoxeR, short for Box Transformer, which attends to a set of boxes by predicting their transformation from a reference window on an input feature map.
1 code implementation • CVPR 2021 • Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert
A common heuristic is uniformly sampling a small number of video frames and using these to recognize the action.
1 code implementation • 1 Nov 2020 • Victor Zuanazzi, Joris van Vugt, Olaf Booij, Pascal Mettes
This work proposes a metric learning approach for self-supervised scene flow estimation.
1 code implementation • 24 Jul 2020 • Deyvid Kochanov, Fatemeh Karimi Nejadasl, Olaf Booij
Semantic segmentation is an important component in the perception systems of autonomous vehicles.
Ranked #15 on 3D Semantic Segmentation on SemanticKITTI
1 code implementation • 29 Aug 2019 • Radu Sibechi, Olaf Booij, Nora Baka, Peter Bloem
In this paper, we tackle the issue of label scarcity by using consecutive frames of a video, where only one frame is annotated.
no code implementations • 7 Aug 2019 • Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian
Adversarial training has been recently employed for realizing structured semantic segmentation, in which the aim is to preserve higher-level scene structural consistencies in dense predictions.
no code implementations • 14 Jun 2018 • Mohsen Ghafoorian, Cedric Nugteren, Nóra Baka, Olaf Booij, Michael Hofmann
Convolutional neural networks have been successfully applied to semantic segmentation problems.
Ranked #15 on Lane Detection on TuSimple