LTTM Laboratory

is starting tomorrow (Saturday, June 19th)! This week ahead is going to be one of the most exciting in the Computer Vision field.
Make sure you don't miss out!

We will present 3 works (in chronological order):

1) Sunday, June 19th at Workshop on Autonomous Driving
"Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation", where we improve feature-level disentanglement for better recognition when translating between different visual domains.
Francesco Barbato, Marco Toldo, Umberto Michieli and Pietro Zanuttigh
https://lnkd.in/d6_hm8R

2) Sunday, June 19th at Workshop on Resposible Computer Vision
"Are All Users Treated Fairly in Federated Learning Systems?", where we analyse fairness of common federated learning frameworks.
Umberto Michieli and Mete Ozay. Researched during Umberto's internship at Samsung Research UK
https://lnkd.in/dwaKRrr

3) Monday, June 20th at the first session of the main conference
"Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", where we leverage continual semantic segmentation by constraining the latent space to preserve representations of old tasks, thus mitigating catastrophic forgetting.
Umberto Michieli and iPietro Zanuttigh
https://lnkd.in/dxNnW3S

we hope to meet you in the virtual platform!

Huge thanks to all the authors for the wonderful teamwork.

LTTM participated to the GTTI seminar on 'Deep signal processing for a safer world' with two projects presented by Daniele and Francesco!

Deep learning has many applications and if you want to know more, don't miss tomorrow's meeting on deep learning for forensic and security https://unipd.zoom.us/j/87930477008?pwd=bTNNQ2xEUldDdWVEMVZLQys2bGJNUT09 ! The program is in the flyer!

Here's the video of our presentation! Enjoy!

Looking through Walls (preview of ICASSP 2021 paper) Here's the GTTI preview of ICASSP 2021 video

This year ICASSP 2021 is avatarized! The small digital mini-me is wandering in the conference hall looking for the poster room 🙂.

See you on session IFS-4 Surveillance, Biometrics and Security tonight @ 10:30pm CEST to discuss our work

"LOOKING THROUGH WALLS: INFERRING SCENES FROM VIDEO-SURVEILLANCE ENCRYPTED TRAFFIC"

Is you video surveillance system completely safe? Probably, not.

A man is walking along a corridor, monitored by a set of CCTV cameras spread all over the building. Cameras are transmitting the encrypted video sequences to a central control room so that, even if a possible malicious user sniffs the stream, he/she can not decode and visualize the information … are we sure?

In the paper “Looking Through Walls: Inferring Scenes from Video-Surveillance Encrypted Traffic”, we are investigating how much information can be estimated from an encrypted video stream by analyzing packet lengths. The work was carried on within a cross-department collaboration involving Daniele Mari, Samuele Giuliano Piazzetta, Sara Bordin, Luca Pajola, Sebastiano Verde, Simone Milani, Mauro Conti.

Check out the full paper or join us at ICASSP 2021 next week.

There are only a couple of days left to register to the Winter Sports Hackathon that will take place on June 8 and 9! If you want to know more, check out the website!

HYPE UniTrento Winter Sports Hackathon 2021 The hackathon is open to all students and fans of data and Winter Sports, the teams will have 36 hours to extract from sensors data and video sequences useful information, metrics, and comparisons in order to improve/innovate fan engagement systems.

Today we showcased the project 'Mixed Reality Dance' in the virtual visit to the labs within the Master Degree in ICT for Internet and Multimedia. Thanks to Elena and Daniele, Elvis danced samba and belly dance in our lab!!

LTTM@eccv2016 !!