Centar ACROSS-DataScience djeluje kao središte suradnje akademske zajednice s poslovnim i javnim sektorom u istraživanju i razvoju novih metodologija i naprednih inženjerskih pristupa za znanost o podatcima i kooperativne sustave.
Projekt DATACROSS – Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima i Znanstveni centar izvrsnosti za znanost o podatcima i kooperativne sustave, istraživačka jedinica ACROSS, organiziraju
"2. ljetnu školu iz domene naprednih kooperatvinih sustava"
("2nd Summer School on Advanced Cooperative Systems")
koja će se održati 22.-23. rujna 2022. godine, u dvorani D1 FER-a. Ljetna je škola otvorena za sve zainteresirane istraživače iz akademske zajednice i industrije u prethodnu prijavu putem sljedeće poveznice.
Program ljetne škole dostupan je ovdje i u nastavku obavijesti.
Thursday, September 22, 2022
|
09:00-09:45 |
Krzysztof Lis, EPFL, Lausanne, Switzerland How Synthectic Training Powers Anomaly and Obstacle Detection in Traffic Scenes |
|
09:45-10:30 |
Hermann Blum, ETH Zurich, Switzerland Leveraging Multi-Modality for Robust Scene Understanding |
|
10:30-10:40 |
Coffee break |
|
10:40-11:00 |
Manuel Schwonberg, CARIAD, Germany Enabling Al in Safety-Critical Automotive Products |
|
11:00-11:20 |
Mateusz Komorkiewicz, APTIV Automotive Big Data Video Analysis with AiBox |
|
11:20-11:40 |
Christian Nolde, dSPACE, Germany Challenges in Data Selection: How to Fish in the Data Lake |
|
11:40-12:00 |
Oliver Grau, Intel Learning Confidence Classification from Richly Annotated Synthetic Data |
|
12:00-14:00 |
Lunch |
|
14:00-14:30 |
Svenja Uhlemeyer, University of Wuppertal, Germany Tracking and Retrieval of Out of Distribution Objects in Video Sequences |
|
14:30-15:00 |
Robin Chan, Bielefeld Wuppertal, Germany SegmentMelfYouCan: A Benchmark for Anomaly Segmentation |
|
15:00-15:30 |
Tobias Riedlinger, University of Wuppertal, Germany Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors |
|
15:30-15:45 |
Coffee break |
|
15:45-16:15 |
Kira Maag, Ruhr University Bochum, Germany Gradient-Improving Robustness under Domain Shift of Semantic Segmentation by Depth Estimation |
|
16:15-16:45 |
Annika Mutze, University of Wuppertal, Germany Domain Adaptation with Generative Adversarial Networks |
|
16:45-17:05 |
Lana Periša, Rimac Automobili, Croatia Challenges in Scene Understanding for Autonomous Racing |
Friday, September 23, 2022
|
09:00-09:45 |
Oliver Zendel, AIT Vienna, Austria Robust Evaluation of Computer Vision for Autonomous Driving |
|
09:45-10:30 |
Christos Sakaridis, ETH Zurich, Switzerland Creating Synthetic and Real data for Semantic Scene Understanding in Adverse Conditions |
|
10:30-10:45 |
Coffee break |
|
10:45-11:30 |
Matthias Rottmann, EPFL, Switzerland Automated detection of Labeling Errors in for Semantic Segmentation Datasets |
|
11:30-12:15 |
Tomáš Vojíř, Czech Technical University in Prague, Czech Republic Road Anomaly Detection by Generative and Discriminative Road Appearance Modelling |
|
12:15-14:00 |
Lunch |
|
14:00-14:20 |
Juraj Radić, Gideon Brothers, Croatia Scene Understanding for Autonomous Mobile Robots in Warehouse Operations |
|
14:20-14:40 |
Marin Oršić, Microlink, Croatia Transformers Architectures in Production: Efficiency and Self-Supervision |
|
14:40-15:00 |
Ana Cej Gagović, Xylon, Croatia Implementing Computer Vision Alogrithms on FPGAs: Challenges & Advantages |
|
15:00-15:20 |
Damjan Miklić, RoMB technologies, Croatia From the Road into the Warehouse: Semantic Segmentation for Autonomous Forklifts |
|
15:20-15:35 |
Coffee break |
|
15:35-15:50 |
Petra Bevandić, University of Zagreb, Croatia Cross-Domain Learning of Dense Prediction Models |
|
15:50-16:05 |
Josip Šarić, University of Zagreb, Croatia Dense Semantic Forecasting |
|
16:05-16:20 |
Matej Grcić, University of Zagreb, Croatia Dense Anomaly Detection with Synthetic Negatives |
|
16:20-16:35 |
Ivan Grubišić, University of Zagreb Revisiting-One-Way Consistency for Semi-Supervised Semantic Segmentation |
|
16:35-16:50 |
Marin Kačan, University of Zagreb, Croatia Detection of Road-Safety Attributes in Video |