I have supervised several graduate students (Laëtitia Letoupin, Antonin Molières, Alexis Malécot, Ho Tien Lam) for the development of a Video Indexing tool in C++/Qt while doing my PhD in Bordeaux.
Since joining the MICC, I have supervised multiple italian students on different projects:
- Alessio Benevieri, Railway Wagon Id Automatic recognition
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Federico Bartoli, Master thesis “Fast pedestrian detection via geometric and Soft Cascade approximation” [1]
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Claudio Tortorici, Master thesis “Relaxed Decision Trees over multiple Taxonomies for Visual Recognition”
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Giovanni Giunto, Master thesis “Towards Spatial Codebook-free Methods for Image Classification”
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Andrea Ciolini, Master thesis “Object Detection on Low Power Devices” [2]
[1] ![[pdf]](https://www.sveborkaraman.com/wp-content/plugins/papercite/img/pdf.png)
F. Bartoli, G. Lisanti, S. Karaman, A. D. Bagdanov, and A. Del Bimbo, “Unsupervised scene adaptation for faster multi-scale pedestrian detection,” in 22nd International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 2014.
[Bibtex]
F. Bartoli, G. Lisanti, S. Karaman, A. D. Bagdanov, and A. Del Bimbo, “Unsupervised scene adaptation for faster multi-scale pedestrian detection,” in 22nd International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 2014. [Bibtex]
@InProceedings{bartoliicpr2014,
author = {Bartoli, Federico and Lisanti, Giuseppe and Karaman, Svebor and Bagdanov, Andrew D. and Del Bimbo, Alberto},
title = {Unsupervised scene adaptation for faster multi-scale pedestrian detection},
note = {Oral presentation},
booktitle = {22nd International Conference on Pattern Recognition (ICPR)},
address = {Stockholm, Sweden},
year = {2014}
}[2] A. Ciolini, L. Seidenari, S. Karaman, and A. Del Bimbo, “Efficient Hough Forest Object Detection for Low-power Devices,” in IEEE First International Workshop on Wearable and Ego-vision Systems for Augmented Experience (WEsAX), 2015.
[Bibtex]
A. Ciolini, L. Seidenari, S. Karaman, and A. Del Bimbo, “Efficient Hough Forest Object Detection for Low-power Devices,” in IEEE First International Workshop on Wearable and Ego-vision Systems for Augmented Experience (WEsAX), 2015. [Bibtex]
@inproceedings{ciolini2015,
author = {Ciolini, Andrea and Seidenari, Lorenzo and Karaman, Svebor and Del Bimbo, Alberto},
title = {Efficient Hough Forest Object Detection for Low-power Devices},
booktitle = {IEEE First International Workshop on Wearable and Ego-vision Systems for Augmented Experience (WEsAX)},
year = {2015}
}