3 citations · 3 across the 6 of their papers we have counts for
10 papers
Investigating transformers in the decomposition of polygonal shapes as point collections
Andrea Alfieri, Yancong Lin, Jan C. van Gemert
Transformers can generate predictions in two approaches: 1. auto-regressively by conditioning each sequence element on the previous ones, or 2. directly produce an output sequences…
The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification
Yapkan Choi, Yeshwanth Napolean, Jan C. van Gemert
In this paper we evaluate running gait as an attribute for video person re-identification in a long-distance running event. We show that running gait recognition achieves competiti…
Semi-supervised lane detection with Deep Hough Transform
Yancong Lin, Silvia-Laura Pintea, Jan van Gemert
Current work on lane detection relies on large manually annotated datasets. We reduce the dependency on annotations by leveraging massive cheaply available unlabelled data. We prop…
Hallucination In Object Detection -- A Study In Visual Part Verification
Osman Semih Kayhan, Bart Vredebregt, Jan C. van Gemert
We show that object detectors can hallucinate and detect missing objects; potentially even accurately localized at their expected, but non-existing, position. This is particularly…
Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression
Pranjal Singh Rajput, Yeshwanth Napolean, Jan van Gemert
Annotating a large-scale in-the-wild person re-identification dataset especially of marathon runners is a challenging task. The variations in the scenarios such as camera viewpoint…
Deep Unsupervised Image Hashing by Maximizing Bit Entropy
Yunqiang Li, Jan van Gemert
Unsupervised hashing is important for indexing huge image or video collections without having expensive annotations available. Hashing aims to learn short binary codes for compact…