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cs.CV2022
People Tracking and Re-Identifying in Distributed Contexts: Extension Study of PoseTReID
Ratha Siv, Matei Mancas, Bernard Gosselin +2
In our previous paper, we introduced PoseTReID which is a generic framework for real-time 2D multi-person tracking in distributed interaction spaces where long-term people's identi…
cs.CV2022
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety
Nathan Hubens, Matei Mancas, Bernard Gosselin +2
Neural network pruning is a widely used strategy for reducing model storage and computing requirements. It allows to lower the complexity of the network by introducing sparsity in…