Kun Liu Gets Top Prizes at the CitySCENE Grand Challenge at ACM Multimedia 2020
Kun Liu, a visiting PhD student at NExT++, had won the top prizes in the CitySCENE Anomaly Detection Grand Challenge for the ACM MultiMedia 2020.
The CitySCENE challenge involved a new large-scale anomaly dataset consisting of a variety of real-world anomalies, which have a significant impact on city management and public safety. Among the 40 teams around the world which participated for the event, Kun Liu achieved the highest performance for General Anomaly Detection category and the second-highest performance for the Specific Anomaly Detection category.
We would like to congratulate Kun Liu on winning the first and second price!