4 citations · 7 across the 7 of their papers we have counts for
7 papers · 1 filter
BLASt3R: Bundle Adjustment of Any Image Set with Multi-View Matching and Monocular Priors
Vincent Leroy, Philippe Weinzaepfel, Lojze Zust +2
Recent hybrid Structure-from-Motion (SfM) systems combine the robustness of feed-forward 3D reconstruction with the accuracy of traditional bundle adjustment (BA) with pixel matchi…
PanSR: An Object-Centric Mask Transformer for Panoptic Segmentation
Lojze Žust, Matej Kristan
Panoptic segmentation is a fundamental task in computer vision and a crucial component for perception in autonomous vehicles. Recent mask-transformer-based methods achieve impressi…
MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion
Bardienus Duisterhof, Lojze Zust, Philippe Weinzaepfel +3
Structure-from-Motion (SfM), a task aiming at jointly recovering camera poses and 3D geometry of a scene given a set of images, remains a hard problem with still many open challeng…
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
Lojze Žust, Janez Perš, Matej Kristan
The progress in maritime obstacle detection is hindered by the lack of a diverse dataset that adequately captures the complexity of general maritime environments. We present the fi…
eWaSR -- an embedded-compute-ready maritime obstacle detection network
Matija Teršek, Lojze Žust, Matej Kristan
Maritime obstacle detection is critical for safe navigation of autonomous surface vehicles (ASVs). While the accuracy of image-based detection methods has advanced substantially, t…
Learning with Weak Annotations for Robust Maritime Obstacle Detection
Lojze Žust, Matej Kristan
Robust maritime obstacle detection is critical for safe navigation of autonomous boats and timely collision avoidance. The current state-of-the-art is based on deep segmentation ne…
Temporal Context for Robust Maritime Obstacle Detection
Lojze Žust, Matej Kristan
Robust maritime obstacle detection is essential for fully autonomous unmanned surface vehicles (USVs). The currently widely adopted segmentation-based obstacle detection methods ar…