3 citations · 5 across the 8 of their papers we have counts for
3 papers · 1 filter
Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking
Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba
Different layers in CNNs provide not only different levels of abstraction for describing the objects in the input but also encode various implicit information about them. The activ…
Adversarial Semi-Supervised Multi-Domain Tracking
Kourosh Meshgi, Maryam Sadat Mirzaei
Neural networks for multi-domain learning empowers an effective combination of information from different domains by sharing and co-learning the parameters. In visual tracking, the…
AnimGAN: A Spatiotemporally-Conditioned Generative Adversarial Network for Character Animation
Maryam Sadat Mirzaei, Kourosh Meshgi, Etienne Frigo +1
Producing realistic character animations is one of the essential tasks in human-AI interactions. Considered as a sequence of poses of a humanoid, the task can be considered as a se…