Tag Archives: Bordeaux

Supervised graduate students

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
  • Federico Bartoli, Master thesis “Fast pedestrian detection via geometric and Soft Cascade approximation” [1]

  • Claudio Tortorici, Master thesis “Relaxed Decision Trees over multiple Taxonomies for Visual Recognition”

  • Giovanni Giunto, Master thesis “Towards Spatial Codebook-free Methods for Image Classification”

  • Andrea Ciolini, Master thesis “Object Detection on Low Power Devices” [2]

[1] [pdf] 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.
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] [pdf] 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.
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}

Teaching activity

I have mostly taught in Bordeaux during my PhD and during a research and teaching assistant position after my PhD. I have recently gave a lecture on Video Coding and Representation in Italian. Up to now, my teaching activities account for 200+ hours.

  • University of Florence: (In Italian)
    • Lecture Course on Video Coding and Representation (MPEG4-MPEG7), BSc level
  • IUT Bordeaux 1 : (In French)
    • Lecture Course on Video Analysis, BSc level
  • ENSEIRB : (In French)
    • Practicals on Video Indexing, MSc level, option “Multimedia Technologies”
    • Project on Video Analysis, MSc level, option “Multimedia Technologies”
    • Tutorial Class on Work Environment, BSc level
    • Programming Projects, BSc level
  • University of Bordeaux 1 : (In French)
    • Computer Science and Internet Certificate (C2I), BSc level
    • Softwares – Rebound Semester, BSc level
    • Master students’ internships follow-up

About me

I am a French Computer Vision and Machine Learning researcher, currently a  Research Manager at Dataminr. Previously, I spent three years as a PostDoc at the MICC (Media Integration and Communication Center) of the University of Florence in Italy, and five years as an Associate Research Scientist in the DVMM Lab at Columbia University.

Research themes

My research themes are image and video analysis, computer vision, and machine learning. I am particularly interested in semantic concept recognition in images and videos.

I did my Ph.D. at the LaBRI – University of Bordeaux, under the supervision of Jenny Benois-Pineau and Rémi Mégret. During my Ph.D. thesis, I worked on human activity recognition by Hidden Markov Models (HMM) in videos recorded from a wearable device within the IMMED project. I have also developed an object recognition approach in the Bag-of-Visual-Words framework which integrates spatial information within semi-local features: the Graph-Words. I defended my Ph.D. entitled “Indexing of Activities in Wearable Videos: Application to Epidemiological Studies of Aged Dementia” in 2011.

While at the MICC, I have been highly involved in the MNEMOSYNE project. In this project, multiple aspects of computer vision such as person detection, person tracking, and re-identification are used to passively profile the interests of visitors in a museum to provide personalized multimedia content delivery. I was also working on more general image and video classification problems.

At the DVMM Lab, I have been working mostly on large-scale image indexing and retrieval problems but I also published works on other projects such as social media understanding, grounding, scene graph generation, visual parsing, and GAN detections…

At Dataminr, I’m working on computer vision and multimodal-related problems.


Computer Vision, Machine Learning, Image Analysis, Video Analysis, Video Indexing, Object Recognition, Person Detection, Re-Identification, Passive Profiling, Behavior Analysis, Action Recognition…