Výsledky vyhľadávania - 2018 IEEE CVF Conference on Computer Vision and Pattern Recognition

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Identification and Recognition of Animals from Biometric Markers Using Computer Vision Approaches: A Review.

Autori: CIHAN, Pınar SAYGILI, Ahmet OZMEN, Nihat Eren a ďalší

Zdroj: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. Nov/Dec2023, Vol. 29 Issue 6, p581-593. 13p.

Predmet: Identification of animals, Computer vision, Animal tracks, Biometry, Theft prevention, Identification

Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)

Autori: Ramesh Manza Bharti Gawali Pravin Yannawar a ďalší

Typ zdroja: eBook.

Predmet: Artificial intelligence--Congresses, Computer vision--Congresses

Kategórie: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing, MATHEMATICS / Probability & Statistics / General

Subspace-PnP: A Geometric Constraint Loss for Mutual Assistance of Depth and Optical Flow Estimation.

Autori: Chi, Cheng Hao, Tianyu Wang, Qingjie a ďalší

Zdroj: International Journal of Computer Vision; Dec2022, Vol. 130 Issue 12, p3054-3069, 16p

Predmety: OPTICAL flow, PATTERN recognition systems, COMPUTER vision

DiverseNet: When One Right Answer is not Enough

Autori: Firman, M. Campbell, N. D. F. Agapito, L. a ďalší

Zdroj: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. (pp. pp. 5598-5607). IEEE: Salt Late City, UT, USA. (2018)
UCL Discovery

Predmety: FOS: Computer and information sciences, 03 medical and health sciences, 0302 clinical medicine, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, Training, Task analysis, Aerospace electronics, Three-dimensional displays, Supervised learning, Two dimensional displays, Training data, 02 engineering and technology

Popis súboru: text

Prístupová URL adresa: http://arxiv.org/pdf/2008.10634
http://arxiv.org/abs/2008.10634
https://openaccess.thecvf.com/content_cvpr_2018/papers/Firman_DiverseNet_When_One_CVPR_2018_paper.pdf
https://openaccess.thecvf.com/content_cvpr_2018/html/Firman_DiverseNet_When_One_CVPR_2018_paper.html
https://dblp.uni-trier.de/db/conf/cvpr/cvpr2018.html#FirmanCAB18
https://www.arxiv-vanity.com/papers/2008.10634/
https://researchportal.bath.ac.uk/en/publications/diversenet-when-one-right-answer-is-not-enough
https://arxiv.org/abs/2008.10634
https://discovery.ucl.ac.uk/id/eprint/10074121/1/cvpr18_diversenet.pdf
https://discovery.ucl.ac.uk/id/eprint/10074121/

Head pose estimation with particle swarm optimization‐based contrastive learning and multimodal entangled GCN.

Autori: Lian, Yuanfeng Shi, Yinliang Liu, Zhaonian a ďalší

Zdroj: IET Image Processing (Wiley-Blackwell); 9/18/2024, Vol. 18 Issue 11, p2899-2917, 19p

Predmety: PATTERN recognition systems, COMPUTER vision, FEATURE extraction, NONLINEAR estimation, IMAGE processing, PARTICLE swarm optimization

Alive Caricature from 2D to 3D

Autori: Wu, Qianyi Zhang, Juyong Lai, Yu-Kun a ďalší

Prispievatelia: Wu, Qianyi Zhang, Juyong Lai, Yu-Kun a ďalší

Zdroj: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Predmety: FOS: Computer and information sciences, Three-dimensional Displays, 13. Climate action, Face, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, Computer science and engineering [Engineering], 02 engineering and technology, 7. Clean energy

Popis súboru: application/pdf

Prístupová URL adresa: https://dr.ntu.edu.sg/bitstream/10356/142653/2/Alive%20Caricature%20from%202D%20to%203D.pdf
http://arxiv.org/abs/1803.06802
https://orca.cardiff.ac.uk/id/eprint/110342/1/2464.pdf
https://research.monash.edu/en/publications/alive-caricature-from-2d-to-3d
https://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Alive_Caricature_From_CVPR_2018_paper.pdf
https://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Alive_Caricature_From_CVPR_2018_paper.html
https://dr.ntu.edu.sg/handle/10356/142653
https://orca.cardiff.ac.uk/110342/
https://dr.ntu.edu.sg/bitstream/10356/142653/2/Alive%20Caricature%20from%202D%20to%203D.pdf
https://hdl.handle.net/10356/142653

A Fully Progressive Approach to Single-Image Super-Resolution

Autori: Wang, Yifan Perazzi, Federico McWilliams, Brian a ďalší

Zdroj: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Predmety: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, deep learning, image super-resolution, 02 engineering and technology

Popis súboru: application/application/pdf

Prístupová URL adresa: https://www.research-collection.ethz.ch/bitstream/20.500.11850/321437/1/prosr-cvprw-2018-wang-et-al.pdf
http://arxiv.org/abs/1804.02900
https://www.arxiv-vanity.com/papers/1804.02900/
https://www.research-collection.ethz.ch/handle/20.500.11850/321437
https://openaccess.thecvf.com/content_cvpr_2018_workshops/w13/html/Wang_A_Fully_Progressive_CVPR_2018_paper.html
https://www.research-collection.ethz.ch/bitstream/20.500.11850/321437/1/prosr-cvprw-2018-wang-et-al.pdf
https://arxiv.org/pdf/1804.02900.pdf
https://dblp.uni-trier.de/db/journals/corr/corr1804.html#abs-1804-02900
http://hdl.handle.net/20.500.11850/321437

MTPose: Human Pose Estimation with High-Resolution Multi-scale Transformers.

Autori: Wang, Rui Geng, Fudi Wang, Xiangyang

Zdroj: Neural Processing Letters; Oct2022, Vol. 54 Issue 5, p3941-3964, 24p

Predmety: POSE estimation (Computer vision), PATTERN recognition systems, CONVOLUTIONAL neural networks, COMPUTER vision

A Neural Multi-sequence Alignment TeCHnique (NeuMATCH)

Autori: Dogan, Pelin Li, Boyang Sigal, Leonid a ďalší

Zdroj: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, 03 medical and health sciences, Computer Science - Computation and Language, 0302 clinical medicine, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Computation and Language (cs.CL), Machine Learning (cs.LG)

Popis súboru: application/application/pdf

Prístupová URL adresa: https://www.research-collection.ethz.ch/bitstream/20.500.11850/319239/1/Dogan_A_Neural_Multi-Sequence_CVPR_2018_paper.pdf
http://arxiv.org/abs/1803.00057
https://dblp.uni-trier.de/db/conf/cvpr/cvpr2018.html#DoganLSG18
https://openaccess.thecvf.com/content_cvpr_2018/html/Dogan_A_Neural_Multi-Sequence_CVPR_2018_paper.html
https://ieeexplore.ieee.org/document/8579010/
https://openaccess.thecvf.com/content_cvpr_2018/papers/Dogan_A_Neural_Multi-Sequence_CVPR_2018_paper.pdf
http://hdl.handle.net/20.500.11850/319239

Object Referring in Videos with Language and Human Gaze

Autori: Vasudevan, Arun B. Dai, Dengxin Van Gool, Luc

Zdroj: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Predmety: FOS: Computer and information sciences, Technology, Science & Technology, Computer Vision and Pattern Recognition (cs.CV), Computer Science, Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, PSI_VISICS, PSI_4568, Computer Science, Artificial Intelligence

Popis súboru: application/application/pdf

Prístupová URL adresa: https://www.research-collection.ethz.ch/bitstream/20.500.11850/310981/1/Vasudevan_Object_Referring_in_CVPR_2018_paper.pdf
http://arxiv.org/abs/1801.01582
https://ieeexplore.ieee.org/document/8578532
https://openaccess.thecvf.com/content_cvpr_2018/html/Vasudevan_Object_Referring_in_CVPR_2018_paper.html
https://www.research-collection.ethz.ch/bitstream/20.500.11850/310981/1/Vasudevan_Object_Referring_in_CVPR_2018_paper.pdf
https://openaccess.thecvf.com/content_cvpr_2018/papers/Vasudevan_Object_Referring_in_CVPR_2018_paper.pdf
https://www.research-collection.ethz.ch/handle/20.500.11850/310981
https://dblp.uni-trier.de/db/journals/corr/corr1801.html#abs-1801-01582
https://lirias.kuleuven.be/handle/123456789/668415
https://doi.org/10.1109/cvpr.2018.00434
http://hdl.handle.net/20.500.11850/310981

End-to-End Weakly-Supervised Semantic Alignment

Autori: Rocco, Ignacio Arandjelovic, Relja Sivic, Josef

Prispievatelia: Rocco, Ignacio Arandjelovic, Relja Sivic, Josef

Zdroj: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 9. Industry and infrastructure, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/pdf/1712.06861
http://arxiv.org/abs/1712.06861
https://hal.science/hal-01859628v1
https://arxiv.org/pdf/1712.06861.pdf
https://openaccess.thecvf.com/content_cvpr_2018/html/Rocco_End-to-End_Weakly-Supervised_Semantic_CVPR_2018_paper.html
https://openaccess.thecvf.com/content_cvpr_2018/papers/Rocco_End-to-End_Weakly-Supervised_Semantic_CVPR_2018_paper.pdf
http://arxiv.org/pdf/1712.06861.pdf
https://ieeexplore.ieee.org/document/8578821
https://ui.adsabs.harvard.edu/abs/2017arXiv171206861R/abstract

Efficient Parametrization of Multi-domain Deep Neural Networks

Autori: Rebuffi, Sylvestre-Alvise Vedaldi, Andrea Bilen, Hakan

Zdroj: Rebuffi, S-A, Bilen, H & Vedaldi, A 2018, Efficient parametrization of multi-domain deep neural networks . in IEEE Conference on Computer Vision and Pattern Recognition . Institute of Electrical and Electronics Engineers (IEEE), pp. 8119-8127, Computer Vision and Pattern Recognition 2018, Salt Lake City, Utah, United States, 18/06/18 . https://doi.org/10.1109/CVPR.2018.00847
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Predmety: FOS: Computer and information sciences, 2. Zero hunger, Statistics - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/pdf/1803.10082
http://arxiv.org/abs/1803.10082
https://www.pure.ed.ac.uk/ws/files/57981621/Rebuffi18.pdf
https://www.research.ed.ac.uk/portal/en/publications/efficient-parametrization-of-multidomain-deep-neural-networks(5f3ba215-51cb-4c07-a6e0-f074bc5ade35).html
http://dblp.uni-trier.de/db/journals/corr/corr1803.html#abs-1803-10082
https://openaccess.thecvf.com/content_cvpr_2018/papers/Rebuffi_Efficient_Parametrization_of_CVPR_2018_paper.pdf
https://dblp.uni-trier.de/db/conf/cvpr/cvpr2018.html#RebuffiBV18
https://openaccess.thecvf.com/content_cvpr_2018/html/Rebuffi_Efficient_Parametrization_of_CVPR_2018_paper.html
https://ora.ox.ac.uk/objects/uuid:a8e2ae12-2c29-4620-9127-31dc05323add
https://doi.org/10.1109/cvpr.2018.00847
https://www.pure.ed.ac.uk/ws/files/57981621/Rebuffi18.pdf
https://hdl.handle.net/20.500.11820/5f3ba215-51cb-4c07-a6e0-f074bc5ade35

WiCV 2018: The Fourth Women in Computer Vision Workshop

Autori: Demir, I Bazazian, D Romero, A a ďalší

Zdroj: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Predmety: 2. Zero hunger, Technology, Science & Technology, 4. Education, Computer Science, 10. No inequality, Computer Science, Artificial Intelligence

Prístupová URL adresa: http://spiral.imperial.ac.uk/bitstream/10044/1/69047/2/WiCV_2018_The_CVPR_2018_paper.pdf
https://openaccess.thecvf.com/content_cvpr_2018_workshops/w36/html/Demir_WiCV_2018_The_CVPR_2018_paper.html
https://ieeexplore.ieee.org/document/8575405
https://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w36/Demir_WiCV_2018_The_CVPR_2018_paper.pdf
http://spiral.imperial.ac.uk/bitstream/10044/1/69047/2/WiCV_2018_The_CVPR_2018_paper.pdf
https://www.computer.org/csdl/proceedings-article/cvprw/2018/610000b941/17D45WK5Aom
https://dblp.uni-trier.de/db/conf/cvpr/cvprw2018.html#DemirBRST18
http://hdl.handle.net/10044/1/69047

Finding beans in burgers: Deep semantic-visual embedding with localization

Autori: Engilberge, Martin Chevallier, Louis Pérez, Patrick a ďalší

Prispievatelia: Engilberge, Martin Chevallier, Louis Pérez, Patrick a ďalší

Zdroj: CVPR 2018 - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition ; https://hal.science/hal-02171857 ; CVPR 2018 - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2018, Salt Lake City, United States. pp.3984-3993, ⟨10.1109/CVPR.2018.00419⟩

Predmety: [INFO]Computer Science [cs], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]

Geografické téma: Salt Lake City, United States

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1804.01720; ARXIV: 1804.01720

Dostupnosť: https://hal.science/hal-02171857
https://hal.science/hal-02171857v1/document
https://hal.science/hal-02171857v1/file/findingbeansinburger.pdf
https://doi.org/10.1109/CVPR.2018.00419

Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading

Autori: Haefner, Bjoern Quéau, Yvain Moellenhoff, Thomas a ďalší

Prispievatelia: Haefner, Bjoern Quéau, Yvain Moellenhoff, Thomas a ďalší

Zdroj: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
https://normandie-univ.hal.science/hal-02118545
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2018, Salt Lake City, United States. pp.164-174, ⟨10.1109/CVPR.2018.00025⟩

Predmety: [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

Geografické téma: Salt Lake City, United States

Dostupnosť: https://normandie-univ.hal.science/hal-02118545
https://normandie-univ.hal.science/hal-02118545v1/document
https://normandie-univ.hal.science/hal-02118545v1/file/CVPR18.pdf
https://doi.org/10.1109/CVPR.2018.00025

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

Autori: Demir, I. Koperski, K. Lindenbaum, D. a ďalší

Prispievatelia: Demir, I. Koperski, K. Lindenbaum, D. a ďalší

Zdroj: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :172-17209

Predmety: FOS: Computer and information sciences, 13. Climate action, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Life Science, 02 engineering and technology

Popis súboru: application/pdf

Prístupová URL adresa: https://dspace.mit.edu/bitstream/1721.1/125668/2/Demir_DeepGlobe_2018_A_CVPR_2018_paper.pdf
http://arxiv.org/abs/1805.06561
http://export.arxiv.org/pdf/1805.06561
http://ui.adsabs.harvard.edu/abs/2018arXiv180506561D/abstract
https://ieeexplore.ieee.org/document/8575485
https://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00031
https://www.computer.org/csdl/proceedings-article/cvprw/2018/610000a172/17D45WrVg0C
https://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Demir_DeepGlobe_2018_A_CVPR_2018_paper.pdf

The meta-learning method for the ensemble model based on situational meta-task.

Autori: Zhengchao Zhang Lianke Zhou Yuyang Wu a ďalší

Zdroj: Frontiers in Neurorobotics; 2024, p1-15, 15p

Predmety: IMAGE recognition (Computer vision), VIDEO coding, MACHINE learning, PATTERN recognition systems, STIMULUS generalization, PROBLEM solving

Cantonese sentence dataset for lip‐reading.

Autori: Xiao, Yewei Liu, Xuanming Teng, Lianwei a ďalší

Zdroj: IET Image Processing (Wiley-Blackwell); 8/21/2024, Vol. 18 Issue 10, p2645-2664, 20p

Predmety: LIPREADING, PATTERN recognition systems, COMPUTER vision, CANTONESE dialects, IMAGE processing