527 citations · 877 across the 56 of their papers we have counts for
5 papers · 1 filter
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition
R. Gnana Praveen, Eric Granger, Patrick Cardinal
Multimodal analysis has recently drawn much interest in affective computing, since it can improve the overall accuracy of emotion recognition over isolated uni-modal approaches. Th…
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling
Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli +3
Class Activation Mapping (CAM) methods have recently gained much attention for weakly-supervised object localization (WSOL) tasks. They allow for CNN visualization and interpretati…
Transductive Few-Shot Learning: Clustering is All You Need?
Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz +2
We investigate a general formulation for clustering and transductive few-shot learning, which integrates prototype-based objectives, Laplacian regularization and supervision constr…
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer
Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli +3
Recent advances in unsupervised domain adaptation have significantly improved the recognition accuracy of CNNs by alleviating the domain shift between (labeled) source and (unlabel…
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains
Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran +3
Beyond the complexity of CNNs that require training on large annotated datasets, the domain shift between design and operational data has limited the adoption of CNNs in many real-…