Search Results - "Brémond, François"

Gender Estimation Based on Smile-Dynamics by Dantcheva, Antitza, Bremond, Francois

“…Automated gender estimation has numerous applications, including video surveillance, human-computer interaction, anonymous customized advertisement, and image…”
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An Unsupervised Framework for Online Spatiotemporal Detection of Activities of Daily Living by Hierarchical Activity Models by Negin, Farhood, Brémond, François

“…Automatic detection and analysis of human activities captured by various sensors (e.g., sequences of images captured by RGB camera) play an essential role in…”
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View-Invariant Skeleton Action Representation Learning via Motion Retargeting by Yang, Di, Wang, Yaohui, Dantcheva, Antitza, Garattoni, Lorenzo, Francesca, Gianpiero, Brémond, François

“…Current self-supervised approaches for skeleton action representation learning often focus on constrained scenarios, where videos and skeleton data are…”
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Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection by Majhi, Snehashis, Dai, Rui, Kong, Quan, Garattoni, Lorenzo, Francesca, Gianpiero, Brémond, François

“…Video anomaly detection in surveillance systems with only video-level labels (i.e. weakly supervised) is challenging. This is due to (i) the complex…”
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Recognizing Gestures by Learning Local Motion Signatures of HOG Descriptors by KAANICHE, Mohamed-Bécha, BREMOND, François

“…We introduce a new gesture recognition framework based on learning local motion signatures (LMSs) of HOG descriptors introduced by [1]. Our main contribution…”
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Assistive Technologies to Address Capabilities of People with Dementia: From Research to Practice by Kenigsberg, Paul-Ariel, Aquino, Jean-Pierre, Bérard, Alain, Brémond, François, Charras, Kevin, Dening, Tom, Droës, Rose-Marie, Gzil, Fabrice, Hicks, Ben, Innes, Anthea, Nguyen, Sao-Mai, Nygård, Louise, Pino, Maribel, Sacco, Guillaume, Salmon, Eric, van der Roest, Henriëtte, Villet, Hervé, Villez, Marion, Robert, Philippe, Manera, Valeria

“…Assistive technologies became pervasive and virtually present in all our life domains. They can be either an enabler or an obstacle leading to social…”
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How Unique Is a Face: An Investigative Study by Balazia, Michal, Happy, S L, Bremond, Francois, Dantcheva, Antitza

“…Face recognition has been widely accepted as a means of identification in applications ranging from border control to security in the banking sector…”
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Online parameter tuning for object tracking algorithms by Chau, Duc Phu, Thonnat, Monique, Brémond, François, Corvée, Etienne

“…Object tracking quality usually depends on video scene conditions (e.g. illumination, density of objects, object occlusion level). In order to overcome this…”
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Magnitude-Orientation Stream network and depth information applied to activity recognition by Caetano, Carlos, de Melo, Victor H.C., Brémond, François, dos Santos, Jefersson A., Schwartz, William Robson

“…•Magnitude by the depth weighting to circumvent problems related to camera distance.•Detailed revision of the literature with recently published works.•A study…”
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Video-understanding framework for automatic behavior recognition by Brémond, François, Thonnat, Monique, Zúñiga, Marcos

“…We propose an activity-monitoring framework based on a platform called VSIP, enabling behavior recognition in different environments. To allow end-users to…”
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Dementia beyond 2025: Knowledge and uncertainties by Kenigsberg, Paul-Ariel, Aquino, Jean-Pierre, Bérard, Alain, Gzil, Fabrice, Andrieu, Sandrine, Banerjee, Sube, Brémond, François, Buée, Luc, Cohen-Mansfield, Jiska, Mangialasche, Francesca, Platel, Hervé, Salmon, Eric, Robert, Philippe

“…Given that there may well be no significant advances in drug development before 2025, prevention of dementia–Alzheimer’s disease through the management of…”
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Video understanding for complex activity recognition by Fusier, Florent, Valentin, Valéry, Brémond, François, Thonnat, Monique, Borg, Mark, Thirde, David, Ferryman, James

“…This paper presents a real-time video understanding system which automatically recognises activities occurring in environments observed through video…”
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Hierarchical and incremental event learning approach based on concept formation models by Zúñiga, Marcos D., Brémond, François, Thonnat, Monique

“…We propose an event learning approach for video, based on concept formation models. This approach incrementally learns on-line a hierarchy of states and event…”
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UnWarpME: Unsupervised warping map estimation in real-world scenarios by Tabejamaat, Mohsen, Negin, Farhood, Bremond, François

“…This paper introduces a novel approach to warp an RGB image to a new target pose, where it learns to inpaint the invisible parts of the image by sampling…”
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Gesture recognition by learning local motion signatures by Kaâniche, Mohamed Bécha, Brémond, François

“…This paper overviews a new gesture recognition framework based on learning local motion signatures (LMSs) introduced by [5]. After the generation of these LMSs…”
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Improving texture integrity through second-order constraints on warping maps by Tabejamaat, Mohsen, Negin, Farhood, Bremond, François

“…Pose Transfer has recently gained significant attention, particularly for its user-friendly applications in the animation industry. The primary objective is to…”
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Thermal Event Recognition Applied to Protection of Tokamak Plasma-Facing Components by Martin, V., Travere, J.-M., Bremond, F., Moncada, V., Dunand, G.

“…Magnetic confinement fusion tokamaks are complex devices where a large amount of power is required to make the fusion reactions happen. In such experimental…”
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DAM: Dissimilarity Attention Module for Weakly-supervised Video Anomaly Detection by Majhi, Snehashis, Das, Srijan, Bremond, Francois

“…Video anomaly detection under weak supervision is complicated due to the difficulties in identifying the anomaly and normal instances during training, hence,…”
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Real-time reliability measure-driven multi-hypothesis tracking using 2D and 3D features by Zúñiga, Marcos D, Brémond, François, Thonnat, Monique

“…We propose a new multi-target tracking approach, which is able to reliably track multiple objects even with poor segmentation results due to noisy…”
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Expression recognition with deep features extracted from holistic and part-based models by Happy, S.L., Dantcheva, Antitza, Bremond, François

“…Facial expression recognition aims to accurately interpret facial muscle movements in affective states (emotions). Previous studies have proposed holistic…”
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