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31

Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks

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Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks Thomas Teixeira, Eric Granger, Alessandro Lameiras Koerich Applied Sciences, Special Issue on Facial Expression 2021/11/8 Abstract : Facial expressions are one of the most powerful ways to depict specific patterns in human behavior and describe the human emotional state. However, despite the impressive advances of affective computing […]

32

Holistic Guidance for Occluded Person Re-Identification

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Holistic Guidance for Occluded Person Re-Identification Madhu Kiran, R. Gnana Praveen, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais-Morin, Eric Granger BMVC 2021: British Machine Vision Conference 2021/11/22 Abstract : In real-world video surveillance applications, person re-identification (ReID) suffers from the effects of occlusions and detection errors. Despite recent advances, occlusions continue to corrupt the features […]

33

Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition

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Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition Gnana Praveen, Eric Granger, Patrick Cardinal FG 2021: IEEE Int’l Conf. on Automatic Face and Gesture Recognition, Jodhpur, India. 2021/12/15 Abstract : 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. The […]

34

Removable cup support platform on collector receptacle

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Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo Lopez arXiv preprint arXiv:2203.11111 2022/3/21 Abstract : Video-based analysis of facial expressions has been increasingly applied to infer health states of individuals, such as depression and pain. Among the existing approaches, deep learning models composed of structures for multiscale […]

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Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks

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Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo Lopez arXiv preprint arXiv:2203.11111 2022/3/21 Abstract : Video-based analysis of facial expressions has been increasingly applied to infer health states of individuals, such as depression and pain. Among the existing approaches, deep learning models composed of structures for multiscale […]

36

GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation

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A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition Gnana Praveen Rajasekar, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro Koerich, Simon Bacon, Patrick Cardinal, Eric Granger arXiv preprint arXiv:2203.14779 2022/3/28 Abstract : Multimodal emotion recognition has recently gained much attention since it can leverage diverse […]

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A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition

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A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition Gnana Praveen Rajasekar, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro Koerich, Simon Bacon, Patrick Cardinal, Eric Granger arXiv preprint arXiv:2203.14779 2022/3/28 Abstract : Multimodal emotion recognition has recently gained much attention since it can leverage diverse […]

38

Enhanced Single-Shot Detector for Small Object Detection in Remote Sensing Images

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Generative Target Update for Adaptive Siamese Tracking Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira Cruz, Louis-Antoine Blais-Morin, Eric Granger ICPRAI 2022: Int’l Conf. on Pattern Recognition and Artificial Intelligence, Paris, France. 2022/6/1 Abstract : Siamese trackers perform similarity matching with templates (i.e., target models) to recursively localize objects within a search region. […]

39

Generative Target Update for Adaptive Siamese Tracking

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Generative Target Update for Adaptive Siamese Tracking Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira Cruz, Louis-Antoine Blais-Morin, Eric Granger ICPRAI 2022: Int’l Conf. on Pattern Recognition and Artificial Intelligence, Paris, France. 2022/6/1 Abstract : Siamese trackers perform similarity matching with templates (i.e., target models) to recursively localize objects within a search region. […]

40

Negative Evidence Matters in Interpretable Histology Image Classification

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Negative Evidence Matters in Interpretable Histology Image Classification Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger MIDL 2022: Medical Imaging with Deep Learning, Zurich, Switzerland. 2022/7/6 Abstract : Using only global annotations such as the image class labels, weakly-supervised learning methods allow CNN classifiers to jointly classify an image, and yield the […]