Désiré Sidibé

54 papers A* 2A 1B 8C 2Journal 26Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Deep Learning Approach for Predicting the Response to Anti-VEGF Treatment in Diabetic Macular Edema Patients Using Optical Coherence Tomography Images. ICAART (2) Karima Garraoui, Ines Rahmany, Salah Dhahri, Hedi Tabia, Désiré Sidibé, Hsouna Zgolli, Nawres Khlifa
2025	J	`jnl`	DH-PTAM: A Deep Hybrid Stereo Events-Frames Parallel Tracking and Mapping System. IEEE Trans. Intell. Veh. Abanob Soliman, Fabien Bonardi, Désiré Sidibé, Samia Bouchafa
2025	J	`jnl`	SAIL: Self-supervised Albedo Estimation from Real Images with a Latent Diffusion Model. CoRR Hala Djeghim, Nathan Piasco, Luis Roldão, Moussâb Bennehar, Dzmitry Tsishkou, Céline Loscos, Désiré Sidibé
2025	A*	`conf`	ViiNeuS: Volumetric Initialization for Implicit Neural Surface Reconstruction of Urban Scenes with Limited Image Overlap. CVPR Hala Djeghim, Nathan Piasco, Moussâb Bennehar, Luis Roldão, Dzmitry Tsishkou, Désiré Sidibé
2024	—	`conf`	A Comparative Evaluation of Self-Supervised Methods Applied to Rock Images Classification. VISIGRAPP (2): VISAPP Van Thao Nguyen, Dominique Fourer, Désiré Sidibé, Jean-François Lecomte, Souhail Youssef
2024	C	`conf`	Explainable AI For Retinal Pathology Detection In OCT Images. CoDIT Zainab Haddad, Hsouna Zgolli, Désiré Sidibé, Hedi Tabia, Nawres Khlifa
2024	J	`jnl`	Rethinking Self-Attention for Multispectral Object Detection. IEEE Trans. Intell. Transp. Syst. Sijie Hu, Fabien Bonardi, Samia Bouchafa, Helmut Prendinger, Désiré Sidibé
2024	J	`jnl`	SCILLA: SurfaCe Implicit Learning for Large Urban Area, a volumetric hybrid solution. CoRR Hala Djeghim, Nathan Piasco, Moussâb Bennehar, Luis Roldão, Dzmitry Tsishkou, Désiré Sidibé
2023	J	`jnl`	Automatic Detection of AMD and DME Retinal Pathologies Using Deep Learning. Int. J. Biomed. Imaging Latifa Saidi, Hajer Jomaa, Zainab Haddad, Hsouna Zgolli, Sonia Mabrouk, Désiré Sidibé, Hedi Tabia, Nawres Khlifa
2023	J	`jnl`	DH-PTAM: A Deep Hybrid Stereo Events-Frames Parallel Tracking And Mapping System. CoRR Abanob Soliman, Fabien Bonardi, Désiré Sidibé, Samia Bouchafa
2023	J	`jnl`	MAV Localization in Large-Scale Environments: A Decoupled Optimization/Filtering Approach. Sensors Abanob Soliman, Hicham Hadj-Abdelkader, Fabien Bonardi, Samia Bouchafa, Désiré Sidibé
2023	J	`jnl`	Multi-modal unsupervised domain adaptation for semantic image segmentation. Pattern Recognit. Sijie Hu, Fabien Bonardi, Samia Bouchafa, Désiré Sidibé
2023	J	`jnl`	Prediction of Postoperative Visual Acuity in Rhegmatogenous Retinal Detachment Using OCT Images. IEEE Access Sinda Hosni, Hajer Khachnaoui, Hsouna Mehdi Zgolli, Sonya Mabrouk, Désiré Sidibé, Hedi Tabia, Nawres Khlifa
2023	C	`conf`	Retinal pathologies detection in OCT images based on Bilinear convolutional neural network. INISTA Zainab Haddad, Brahim Mahamat Yaya, Hsouna Zgolli, Désiré Sidibé, Hedi Tabia, Nawres Khlifa
2023	—	`conf`	Robust RGB-D-IMU Calibration Method Applied to GPS-Aided Pose Estimation. VISIGRAPP (4: VISAPP) Abanob Soliman, Fabien Bonardi, Désiré Sidibé, Samia Bouchafa
2022	—	`conf`	A General Two-branch Decoder Architecture for Improving Encoder-decoder Image Segmentation Models. VISIGRAPP (5: VISAPP) Sijie Hu, Fabien Bonardi, Samia Bouchafa, Désiré Sidibé
2022	J	`jnl`	A central multimodal fusion framework for outdoor scene image segmentation. Multim. Tools Appl. Yifei Zhang, Olivier Morel, Ralph Seulin, Fabrice Mériaudeau, Désiré Sidibé
2022	B	`conf`	A hybrid multi-modal visual data cross fusion network for indoor and outdoor scene segmentation. ICPR Sijie Hu, Fabien Bonardi, Samia Bouchafa, Désiré Sidibé
2022	J	`jnl`	IBISCape: A Simulated Benchmark for multi-modal SLAM Systems Evaluation in Large-scale Dynamic Environments. CoRR Abanob Soliman, Fabien Bonardi, Désiré Sidibé, Samia Bouchafa
2022	J	`jnl`	IBISCape: A Simulated Benchmark for multi-modal SLAM Systems Evaluation in Large-scale Dynamic Environments. J. Intell. Robotic Syst. Abanob Soliman, Fabien Bonardi, Désiré Sidibé, Samia Bouchafa
2021	J	`jnl`	Deep multimodal fusion for semantic image segmentation: A survey. Image Vis. Comput. Yifei Zhang, Désiré Sidibé, Olivier Morel, Fabrice Mériaudeau
2021	J	`jnl`	Improving Image Description with Auxiliary Modality for Visual Localization in Challenging Conditions. Int. J. Comput. Vis. Nathan Piasco, Désiré Sidibé, Valérie Gouet-Brunet, Cédric Demonceaux
2021	J	`jnl`	Myocardial Infarction Quantification from Late Gadolinium Enhancement MRI Using Top-Hat Transforms and Neural Networks. Algorithms Ezequiel de la Rosa, Désiré Sidibé, Thomas Decourselle, Thibault Leclercq, Alexandre Cochet, Alain Lalande
2021	J	`jnl`	Towards urban scenes understanding through polarization cues. CoRR Marc Blanchon, Désiré Sidibé, Olivier Morel, Ralph Seulin, Fabrice Mériaudeau
2020	B	`conf`	Incorporating Depth Information into Few-Shot Semantic Segmentation. ICPR Yifei Zhang, Désiré Sidibé, Olivier Morel, Fabrice Mériaudeau
2020	B	`conf`	Multiscale Attention-Based Prototypical Network For Few-Shot Semantic Segmentation. ICPR Yifei Zhang, Désiré Sidibé, Olivier Morel, Fabrice Mériaudeau
2020	B	`conf`	P2D: a self-supervised method for depth estimation from polarimetry. ICPR Marc Blanchon, Désiré Sidibé, Olivier Morel, Ralph Seulin, Daniel Braun, Fabrice Mériaudeau
2020	J	`jnl`	P2D: a self-supervised method for depth estimation from polarimetry. CoRR Marc Blanchon, Désiré Sidibé, Olivier Morel, Ralph Seulin, Daniel Braun, Fabrice Mériaudeau
2020	B	`conf`	Polarimetric image augmentation. ICPR Marc Blanchon, Olivier Morel, Fabrice Mériaudeau, Ralph Seulin, Désiré Sidibé
2020	J	`jnl`	Polarimetric image augmentation. CoRR Marc Blanchon, Olivier Morel, Fabrice Mériaudeau, Ralph Seulin, Désiré Sidibé
2019	—	`conf`	Exploration of Deep Learning-based Multimodal Fusion for Semantic Road Scene Segmentation. VISIGRAPP (5: VISAPP) Yifei Zhang, Olivier Morel, Marc Blanchon, Ralph Seulin, Mojdeh Rastgoo, Désiré Sidibé
2019	B	`conf`	Geometric Camera Pose Refinement with Learned Depth Maps. ICIP Nathan Piasco, Désiré Sidibé, Cédric Demonceaux, Valérie Gouet-Brunet
2019	A*	`conf`	Learning Scene Geometry for Visual Localization in Challenging Conditions. ICRA Nathan Piasco, Désiré Sidibé, Valérie Gouet-Brunet, Cédric Demonceaux
2019	J	`jnl`	Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks. CoRR Ezequiel de la Rosa, Désiré Sidibé, Thomas Decourselle, Thibault Leclercq, Alexandre Cochet, Alain Lalande
2019	—	`conf`	Outdoor Scenes Pixel-wise Semantic Segmentation using Polarimetry and Fully Convolutional Network. VISIGRAPP (5: VISAPP) Marc Blanchon, Olivier Morel, Yifei Zhang, Ralph Seulin, Nathan Crombez, Désiré Sidibé
2019	A	`conf`	Perspective-n-Learned-Point: Pose Estimation from Relative Depth. BMVC Nathan Piasco, Désiré Sidibé, Cédric Demonceaux, Valérie Gouet-Brunet
2018	J	`jnl`	A survey on Visual-Based Localization: On the benefit of heterogeneous data. Pattern Recognit. Nathan Piasco, Désiré Sidibé, Cédric Demonceaux, Valérie Gouet-Brunet
2018	J	`jnl`	Salient objects detection in dynamic scenes using color and texture features. Multim. Tools Appl. Satya M. Muddamsetty, Désiré Sidibé, Alain Trémeau, Fabrice Mériaudeau
2017	J	`jnl`	An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images. Comput. Methods Programs Biomed. Désiré Sidibé, Shrinivasan Sankar, Guillaume Lemaitre, Mojdeh Rastgoo, Joan Massich, Carol Yim-lui Cheung, Gavin Siew Wei Tan, Dan Milea, Ecosse Lamoureux, Tien Yin Wong, Fabrice Mériaudeau
2017	J	`jnl`	Machine vision for timber grading singularities detection and applications. J. Electronic Imaging Mohamad Mazen Hittawe, Désiré Sidibé, Ouadi Beya, Fabrice Mériaudeau
2016	—	`conf`	Classification of SD-OCT volumes for DME detection: an anomaly detection approach. Computer-Aided Diagnosis S. Sankar, Désiré Sidibé, Y. Cheung, Tien Yin Wong, Ecosse Lamoureux, Dan Milea, Fabrice Mériaudeau
2016	—	`conf`	Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: Application to DME detections. EMBC Khaled Alsaih, Guillaume Lemaitre, Joan Massich Vall, Mojdeh Rastgoo, Désiré Sidibé, Tien Yin Wong, Ecosse Lamoureux, Dan Milea, Carol Yim-lui Cheung, Fabrice Mériaudeau
2016	—	`conf`	Classification of melanoma lesions using sparse coded features and random forests. Computer-Aided Diagnosis Mojdeh Rastgoo, Guillaume Lemaitre, Olivier Morel, Joan Massich, Rafael García, Fabrice Mériaudeau, Franck Marzani, Désiré Sidibé
2015	J	`jnl`	Discrimination of retinal images containing bright lesions using sparse coded features and SVM. Comput. Biol. Medicine Désiré Sidibé, Ibrahim Sadek, Fabrice Mériaudeau
2015	—	`conf`	Real-time Human Pose Estimation from Body-scanned Point Clouds. VISAPP (1) Jilliam María Díaz Barros, Frederic Garcia, Désiré Sidibé
2014	—	`conf`	Adaptive Feature Selection for Object Tracking with Particle Filter. ICIAR (2) Darshan Venkatrayappa, Désiré Sidibé, Fabrice Mériaudeau, Philippe Montesinos
2014	J	`jnl`	Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning. Comput. Methods Programs Biomed. Kedir M. Adal, Désiré Sidibé, Sharib Ali, Edward Chaum, Thomas P. Karnowski, Fabrice Mériaudeau
2014	—	`conf`	Control of a PTZ Camera in a Hybrid Vision System. VISAPP (3) François Rameau, Cédric Demonceaux, Désiré Sidibé, David Fofi
2013	—	`conf`	Automated detection of microaneurysms using robust blob descriptors. Computer-Aided Diagnosis Kedir M. Adal, Sharib Ali, Désiré Sidibé, Thomas P. Karnowski, Edward Chaum, Fabrice Mériaudeau
2013	B	`conf`	Steerable wavelet transform for atlas based retinal lesion segmentation. Image Processing Sharib Ali, Kedir M. Adal, Désiré Sidibé, Edward Chaum, Thomas P. Karnowski, Fabrice Mériaudeau
2012	B	`conf`	A shape-based statistical method to retrieve 2D TRUS-MR slice correspondence for prostate biopsy. Image Processing Jhimli Mitra, Abhilash Srikantha, Désiré Sidibé, Robert Marti, Arnau Oliver, Xavier Lladó, Soumya Ghose, Joan Carles Vilanova, Josep Comet, Fabrice Mériaudeau
2012	J	`jnl`	A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images. Comput. Methods Programs Biomed. Soumya Ghose, Arnau Oliver, Robert Marti, Xavier Lladó, Joan Carles Vilanova, Jordi Freixenet, Jhimli Mitra, Désiré Sidibé, Fabrice Mériaudeau
2012	—	`conf`	Joint probability of shape and image similarities to retrieve 2D TRUS-MR slice correspondence for prostate biopsy. EMBC Jhimli Mitra, Soumya Ghose, Désiré Sidibé, Robert Marti, Arnau Oliver, Xavier Lladó, Joan Carles Vilanova, Josep Comet, Fabrice Mériaudeau
2012	—	`conf`	Spectral clustering of shape and probability prior models for automatic prostate segmentation. EMBC Soumya Ghose, Jhimli Mitra, Arnau Oliver, Robert Marti, Xavier Lladó, Jordi Freixenet, Joan Carles Vilanova, Josep Comet, Désiré Sidibé, Fabrice Mériaudeau