Welcome

Hi, I am Alex Falcon. I am a Post-doc researcher at the University of Udine (AI Lab). I completed my PhD in Computer Science, Mathematics and Physics, jointly held at Fondazione Bruno Kessler (Technology of Vision - TeV) and University of Udine, under the supervision of Oswald Lanz (Free University of Bolzano) and Giuseppe Serra (University of Udine). My main research focus is currently focused towards multimedia, video and language understanding, and deep learning. Before that, I completed my Bachelor’s and Master’s degree in Computer Science at the University of Udine. Specifically, during my Master’s I started working with AI, machine learning, and deep learning with a focus on Predictive Maintenance.

E-mail: falcon.alex ‘at’ spes.uniud.it / Google Scholar / Github / LinkedIn / CV

News

• 2023
  • one paper accepted at MMIR@ACM MM 2023 and one paper accepted at CV4Metaverse@ICCV 2023!
  • one paper accepted at ICIAP 2023!
  • our solution (report), trained with only 25\% of the data, got 3rd place in the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge @ CVPR 2023!
  • I am part of the local organization committee for ICIAP 2023!
  • I delivered a seminar on “Deep Learning for Multimedia understanding” as the speaker at University of Udine!
  • I am part of the local organization committee for the 2nd edition of the European Summer School on Quantum AI!
  • March, 13th 2023: I successfully defended my PhD thesis cum laude!
  • one paper accepted at Multimedia Tools and Applications! code
• 2022
  • one paper (pdf) accepted as an Oral at AIABI@AIxIA 2022!
  • one paper accepted at Computers in Industry! code
  • one paper accepted as an Oral at ACM MM 2022! code
  • I delivered two talks at University of Bolzano: “Data-driven approaches for the Remaining Useful Life Estimation problem” and “Learning video retrieval models with relevance-aware online mining”
  • I was featured in the FBK Magazine (italian)!
  • our solution (report) got 1st place in the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge @ CVPR 2022!
  • I attended the fantastic International Computer Vision Summer School (ICVSS) in Scicli, Italy and presented a poster titled “Relevance-aware Online Mining for Video Retrieval”!
  • one paper accepted as an Oral at ICMR 2022! code
  • one paper accepted as an Oral at ICIAP 2021! code
  • I delivered a seminar on “Data-driven approaches for the remaining useful life estimation problem” as the speaker at FBK!
• 2021
  • our solution (report) got 3rd place in the EPIC-Kitchens-100 Action Recognition Challenge @ CVPR 2021!
  • I completed the “Fundamentals of Deep Learning for Multi-GPUs” course held by NVIDIA Deep Learning Institute!
  • we organized the VIQA workshop @ ICPR 2020 (later merged into the VTIUR workshop)!
• 2020
  • one paper accepted as an Oral at EPIC@ECCV 2020!
  • I attended the “Machine Learning for non-matrix data” summer school at Politecnico di Milano!
  • one paper accepted as an Oral at PHME 2020!
  • one paper accepted as an Oral at ICPHM 2020!
• 2019
  • one paper accepted at IRCDL 2019!
  • October 2019: I started my PhD under the supervision of Oswald Lanz and Giuseppe Serra!
  • July 2019: I successfully completed the Master’s Degree in Computer Science cum laude!

Service

• Proceedings Chair: IRCDL 2023
• Local Organization Chair: EQAI 2023, ICIAP 2023, AIxIA 2022
• Organizer: VIQA 2020/VTIUR 2020
• Journal Reviewing: IJCV, IEEE TMM, IET Computer Vision, ACM TOMM, IEEE Trans Hum Mach Syst.
• Conference Reviewing: ACM MM 2023, CCISP 2023, IRCDL 2023, ICIAP 2023, ICPR 2022, ICIAP 2021, EMNLP 2021, ICPR 2020.
• Co-Supervision: 3 Bachelor and 4 Master students of Computer Science Degree or IoT, Big Data, and ML Degree at UniUD on topics related to Video&Language and Predictive Maintenance.