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20172019
most citedMultimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition

43 citations · 66 across the 4 of their papers we have counts for

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6 papers · 1 filter

cs.CV201943 cited

Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition

Juan D. S. Ortega, Mohammed Senoussaoui, Eric Granger +3

This paper presents a novel deep neural network (DNN) for multimodal fusion of audio, video and text modalities for emotion recognition. The proposed DNN architecture has independe…

cs.CV2019

Min-max Entropy for Weakly Supervised Pointwise Localization

Soufiane Belharbi, Jérôme Rony, Jose Dolz +3

Pointwise localization allows more precise localization and accurate interpretability, compared to bounding box, in applications where objects are highly unstructured such as in me…

cs.CV20192 cited

Audio-Visual Kinship Verification

Xiaoting Wu, Eric Granger, Xiaoyi Feng

Visual kinship verification entails confirming whether or not two individuals in a given pair of images or videos share a hypothesized kin relation. As a generalized face verificat…

cs.CV2018

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira +3

Research on adversarial examples in computer vision tasks has shown that small, often imperceptible changes to an image can induce misclassification, which has security implication…

cs.CV2018

Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

Jose Dolz, Xiaopan Xu, Jerome Rony +7

Precise segmentation of bladder walls and tumor regions is an essential step towards non-invasive identification of tumor stage and grade, which is critical for treatment decision…

cs.CV2018

Constrained-CNN losses for weakly supervised segmentation

Hoel Kervadec, Jose Dolz, Meng Tang +3

Weakly-supervised learning based on, e.g., partially labelled images or image-tags, is currently attracting significant attention in CNN segmentation as it can mitigate the need fo…