Suchergebnisse - "[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]"

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification

Autoren: Painchaud, Nathan Stym-Popper, Jérémie Courand, Pierre-Yves et al.

Weitere Verfasser: Painchaud, Nathan Stym-Popper, Jérémie Courand, Pierre-Yves et al.

Quelle: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 72:1388-1400

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Computer Vision and Pattern Recognition (cs.CV), Data models, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Adaptation models, Deep learning, 3. Good health, Machine Learning (cs.LG), Machine Learning, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Artificial Intelligence (cs.AI), Artificial Intelligence, Transformers, Medical services, Hypertension, Pathology, Feature extraction, Training, Computer Vision and Pattern Recognition, Data mining

Zugangs-URL: http://arxiv.org/abs/2401.07796

A New Path-Oriented Optimization Procedure for Consistent Person Reidentification in a Camera Network

Autoren: Equoy, Cyrille Goldwurm, Alessandro Briand, Cyrille et al.

Weitere Verfasser: Equoy, Cyrille Goldwurm, Alessandro Briand, Cyrille et al.

Quelle: 2025 IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS). :1-6

Schlagwörter: [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

Dateibeschreibung: application/pdf

Zugangs-URL: https://laas.hal.science/hal-05288927v1
https://laas.hal.science/hal-05288927v1/document
https://doi.org/10.1109/avss65446.2025.11149973

Splat and Replace: 3D Reconstruction with Repetitive Elements

Autoren: Nicolas Violante Andréas Meuleman Alban Gauthier et al.

Weitere Verfasser: Nicolas Violante Andréas Meuleman Alban Gauthier et al.

Quelle: Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers. :1-12

Schlagwörter: FOS: Computer and information sciences, Segmentation, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Science - Graphics, Repetitions, Computer Vision and Pattern Recognition (cs.CV), [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Computer Science - Computer Vision and Pattern Recognition, Matching, 3D Gaussian Splatting, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Graphics (cs.GR)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2506.06462

Visual Prostheses in the Era of Artificial Intelligence Technology

Autoren: Sarbout, Ilias Gungor, Ayse Ounissi, Mehdi et al.

Weitere Verfasser: Sarbout, Ilias Gungor, Ayse Ounissi, Mehdi et al.

Quelle: Sarbout, I, Gungor, A, Ounissi, M, Zaher, S, Ptito, M, Kupers, R, Racoceanu, D & Milea, D 2025, ' Visual Prostheses in the Era of Artificial Intelligence Technology ', Eye and Brain, vol. 17, pp. 95-113 . https://doi.org/10.2147/EB.S524322

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], visual impairment, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, vision restoration, artificial intelligence, blindness, rehabilitation, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://curis.ku.dk/ws/files/472928929/EB-524322-visual-prostheses-in-the-era-of-artificial-intelligence-tech.pdf

Rectangular Surface Parameterization

Autoren: Corman, Etienne Crane, Keenan

Weitere Verfasser: Corman, Etienne Crane, Keenan

Quelle: ACM Transactions on Graphics. 44:1-21

Schlagwörter: [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], surface parameterization, quad meshing, [MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP], [MATH.MATH-DG] Mathematics [math]/Differential Geometry [math.DG]

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-05189504v1/document
https://hal.science/hal-05189504v1
https://doi.org/10.1145/3731176

On-the-fly Reconstruction for Large-Scale Novel View Synthesis from Unposed Images

Autoren: Andreas Meuleman Ishaan Shah Alexandre Lanvin et al.

Weitere Verfasser: Andreas Meuleman Ishaan Shah Alexandre Lanvin et al.

Quelle: ACM Transactions on Graphics. 44:1-14

Schlagwörter: FOS: Computer and information sciences, Large Scenes, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Pointbased models, Tracking, Computer Vision and Pattern Recognition (cs.CV), [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Computer Science - Computer Vision and Pattern Recognition, Matching, 3D Gaussian Splatting, 3D Reconstruction

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2506.05558
https://inria.hal.science/hal-05059800v2
https://doi.org/10.1145/3730913
https://inria.hal.science/hal-05059800v2/document

Combining geometric and photometric 3D reconstruction techniques for cultural heritage

Autoren: Laurent, Antoine Coupry, Benjamin Brument, Baptiste et al.

Weitere Verfasser: Laurent, Antoine Coupry, Benjamin Brument, Baptiste et al.

Quelle: Journal of Cultural Heritage. 73:43-51

Schlagwörter: Photometric Stereo Photogrammetry 3D reconstruction Cultural Heritage, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory, [SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory, Photogrammetry, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 3D reconstruction, Cultural Heritage, Photometric Stereo

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-04972777v1
https://hal.science/hal-04972777v1/document
https://doi.org/10.1016/j.culher.2025.02.013

s2p-hd: GPU-Accelerated Binocular Stereo Pipeline for Large-Scale Same-Date Stereo

Autoren: Amadei, Tristan Meinhardt-Llopis, Enric de Franchis, Carlo et al.

Weitere Verfasser: Amadei, Tristan Meinhardt-Llopis, Enric de Franchis, Carlo et al.

Quelle: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :2330-2339

Schlagwörter: [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Same-date stereo, Digital elevation model

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-05051235v1

Detecting Looted Archaeological Sites from Satellite Image Time Series

Autoren: Vincent, Elliot Saroufim, Mehraïl Chemla, Jonathan et al.

Weitere Verfasser: Vincent, Elliot Saroufim, Mehraïl Chemla, Jonathan et al.

Quelle: CVPR EarthVision workshop

Schlagwörter: FOS: Computer and information sciences, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2409.09432
https://hal.science/hal-04701017v2/document
https://doi.org/10.48550/arxiv.2409.09432
https://hal.science/hal-04701017v2

DELTA: Dense Depth from Events and LiDAR Using Transformer's Attention

Autoren: Brebion, Vincent Moreau, Julien Davoine, Franck

Weitere Verfasser: Brebion, Vincent Moreau, Julien Davoine, Franck

Quelle: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :4898-4907

Schlagwörter: FOS: Computer and information sciences, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, I.4.8, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2505.02593
https://hal.science/hal-05057148v1/document
https://hal.science/hal-05057148v1

CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis

Autoren: Kuriyal, Abhishek Vincent, Elliot Aubry, Mathieu et al.

Weitere Verfasser: Kuriyal, Abhishek Vincent, Elliot Aubry, Mathieu et al.

Quelle: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :2185-2194

Schlagwörter: FOS: Computer and information sciences, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Change detection, Spatial domain shift, Satellite images, Domain generalization, Classification, Semantic segmentation

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2504.19737
https://hal.science/hal-05121438v1
https://hal.science/hal-05121438v1/document

Toward Robust Neural Reconstruction from Sparse Point Sets

Autoren: Ouasfi, Amine Jena, Shubhendu Marchand, Eric et al.

Weitere Verfasser: Ouasfi, Amine Jena, Shubhendu Marchand, Eric et al.

Quelle: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :6552-6562

Schlagwörter: FOS: Computer and information sciences, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2412.16361
https://hal.science/hal-05006233v1
https://hal.science/hal-05006233v1/document
https://doi.org/10.1109/cvpr52734.2025.00614

Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs

Autoren: Ventura, Lucas Yang, Antoine Schmid, Cordelia et al.

Weitere Verfasser: Ventura, Lucas Yang, Antoine Schmid, Cordelia et al.

Quelle: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :18947-18958

Schlagwörter: FOS: Computer and information sciences, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Video understanding, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Video, video chaptering

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2504.00072
https://hal.science/hal-05021982v1
https://hal.science/hal-05021982v1/document

A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations

Autoren: Bodrito, Théo Flasseur, Olivier Mairal, Julien et al.

Weitere Verfasser: Bodrito, Théo Flasseur, Olivier Mairal, Julien et al.

Quelle: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :1230-1240

Schlagwörter: High contrast imaging, Earth and Planetary Astrophysics (astro-ph.EP), FOS: Computer and information sciences, Computer Science - Machine Learning, Astronomy, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, [SDU.ASTR.EP] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP], FOS: Physical sciences, [INFO] Computer Science [cs], Statistics - Applications, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Machine Learning (cs.LG), High angular resolution, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SDU.ASTR.IM] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM], [STAT.AP] Statistics [stat]/Applications [stat.AP], Machine learning, Exoplanet detection methods, Applications (stat.AP), Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Astrophysics - Earth and Planetary Astrophysics

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2503.17117
https://hal.science/hal-05000360v1

PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction

Autoren: Poesina, Eduard Costache, Adriana Chifu, Adrian-Gabriel et al.

Weitere Verfasser: Poesina, Eduard Costache, Adriana Chifu, Adrian-Gabriel et al.

Quelle: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :28651-28661

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Computation and Language (cs.CL), [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Machine Learning (cs.LG)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2406.04746
https://hal.science/hal-05149275v1

MEGA: Masked Generative Autoencoder for Human Mesh Recovery

Autoren: Fiche, Guénolé Leglaive, Simon Alameda-Pineda, Xavier et al.

Weitere Verfasser: Fiche, Guénolé Leglaive, Simon Alameda-Pineda, Xavier et al.

Quelle: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :5366-5378

Schlagwörter: FOS: Computer and information sciences, masked autoencoder, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Human mesh recovery, masked generative modeling, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2405.18839
https://hal.science/hal-04980723v1

AKiRa: Augmentation Kit on Rays for optical video generation

Autoren: Wang, Xi Courant, Robin Christie, Marc et al.

Weitere Verfasser: Wang, Xi Courant, Robin Christie, Marc et al.

Quelle: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :2609-2619

Schlagwörter: FOS: Computer and information sciences, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computer Science - Multimedia, Multimedia (cs.MM)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2412.14158
https://hal.science/hal-05003836v1

Early-Exit Criteria for Edge Semantic Segmentation

Autoren: Gilbert, Mateus Pacheco, Roberto Couto, Rodrigo et al.

Weitere Verfasser: Gilbert, Mateus Pacheco, Roberto Couto, Rodrigo et al.

Quelle: 2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN). :1-6

Schlagwörter: [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], EE-DNN edge/cloud semantic segmentation, edge/cloud, EE-DNN, [INFO] Computer Science [cs], semantic segmentation

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-04963398v1

Measuring Anxiety Levels with Head Motion Patterns in Severe Depression Population

Autoren: Boualeb, Fouad Pierson, Emery Doudeau, Nicolas et al.

Weitere Verfasser: Boualeb, Fouad Pierson, Emery Doudeau, Nicolas et al.

Quelle: 2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG). :1-10

Schlagwörter: FOS: Computer and information sciences, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Vision and Pattern Recognition (cs.CV), [SCCO.NEUR] Cognitive science/Neuroscience, Computer Science - Computer Vision and Pattern Recognition

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2502.08813
https://hal.science/hal-04944032v1

Skeleton-Based Transformer for Classification of Errors and Better Feedback in Low Back Pain Physical Rehabilitation Exercises

Autoren: Marusic, Aleksa Nguyen, Sao Mai Tapus, Adriana

Weitere Verfasser: Marusic, Aleksa Nguyen, Sao Mai Tapus, Adriana

Quelle: 2025 International Conference On Rehabilitation Robotics (ICORR). :1274-1280

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [SDV.IB] Life Sciences [q-bio]/Bioengineering, FOS: Computer and information sciences, Transformer, Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], Humanoid Robot, Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition, Motion Assessment, Human Body Movement Analysis, Automated assessment, Robot Coach, Human Skeleton Representation, Human-Computer Interaction (cs.HC), Computer Science - Robotics, Physical Rehabilitation, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Artificial Intelligence (cs.AI), Robotics (cs.RO)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2504.13866
https://hal.science/hal-05000534v1