no code implementations • 15 Feb 2024 • Momir Adžemović, Predrag Tadić, Andrija Petrović, Mladen Nikolić
We further propose a new cost function for associating observations with tracks.
Ranked #2 on Multi-Object Tracking on SportsMOT (using extra training data)
no code implementations • 15 Nov 2020 • Andrija Petrović, Mladen Nikolić, Sandro Radovanović, Boris Delibašić, Miloš Jovanović
In this paper we propose a Fair Adversarial Instance Re-weighting (FAIR) method, which uses adversarial training to learn instance weighting function that ensures fair predictions.
no code implementations • 31 Jan 2019 • Andrija Petrović, Mladen Nikolić, Miloš Jovanović, Boris Delibašić
The extended method of local variational approximation of sigmoid function is used for solving empirical Bayes in Bayesian GCRFBCb variant, whereas MAP value of latent variables is the basis for learning and inference in the GCRFBCnb variant.