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Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection.
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41 (5): pages 1088-1101. 2019. (Pre-print published in 2018.) [bibtex] [pdf] [web] [code] [abstract] |
Diverse Perspectives on the Relationship between Artificial Intelligence and Pattern Recognition.
(2019) [bibtex] [web] [abstract] |
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Information-Theoretic Active Learning for Content-Based Image Retrieval.
German Conference on Pattern Recognition (GCPR) 2018. Lecture Notes in Computer Science. Pages 650-666. 2019. [bibtex] [pdf] [code] [supplementary] [abstract] |
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Do we train on test data? Purging CIFAR of near-duplicates.
arXiv preprint arXiv:1902.00423. 2019. [bibtex] [pdf] [web] [abstract] |
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Hierarchy-based Image Embeddings for Semantic Image Retrieval.
IEEE Winter Conference on Applications of Computer Vision (WACV). Pages 638-647. 2019. Best Paper Award [bibtex] [pdf] [web] [code] [presentation] [supplementary] [abstract] |
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Towards Automatic Identification of Elephants in the Wild.
AI for Wildlife Conservation Workshop (AIWC). 2018. [bibtex] [pdf] [abstract] |
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Automatic Query Image Disambiguation for Content-Based Image Retrieval.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 249-256. 2018. [bibtex] [pdf] [code] [abstract] |
On the relation between Artifical Intelligence and Pattern Recognition.
(2018) Award-winning entry in the ICPRAI 2018 Competition [bibtex] [pdf] |
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Putting User Reputation on the Map: Unsupervised Quality Control for Crowdsourced Historical Data.
2nd ACM SIGSPATIAL Workshop on Geospatial Humanities. Pages 3:1-3:6. 2018. [bibtex] [pdf] [abstract] |
Deep Learning is not a Matter of Depth but of Good Training.
International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI). Pages 683-687. 2018. [bibtex] [pdf] [abstract] |
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Active Learning for Regression Tasks with Expected Model Output Changes.
British Machine Vision Conference (BMVC). 2018. [bibtex] [pdf] [code] [supplementary] [abstract] |
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Maximally Divergent Intervals for Extreme Weather Event Detection.
MTS/IEEE OCEANS Conference Aberdeen. Pages 1-9. 2017. [bibtex] [pdf] [abstract] |
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Fast Learning and Prediction for Object Detection using Whitened CNN Features.
arXiv preprint arXiv:1704.02930. 2017. [bibtex] [pdf] [web] |
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Maximally Divergent Intervals for Anomaly Detection.
ICML Workshop on Anomaly Detection (ICML-WS). 2016. Best Paper Award [bibtex] [pdf] [code] |