Suchergebnisse - Computer Vision and Pattern Recognition

Long-Term Visual Localization Revisited von Toft, Carl, Maddern, Will, Torii, Akihiko, Hammarstrand, Lars, Stenborg, Erik, Safari, Daniel, Okutomi, Masatoshi, Pollefeys, Marc, Sivic, Josef, Pajdla, Tomas, Kahl, Fredrik, Sattler, Torsten

“… Visual localization enables autonomous vehicles to navigate in their surroundings and augmented reality applications to link virtual to real worlds. Practical …”
Volltext

DINOv2: Learning Robust Visual Features without Supervision von Oquab, Maxime, Darcet, Timothée, Moutakanni, Théo, Vo, Huy, Szafraniec, Marc, Khalidov, Vasil, Fernandez, Pierre, Haziza, Daniel, Massa, Francisco, El-Nouby, Alaaeldin, Assran, Mahmoud, Ballas, Nicolas, Galuba, Wojciech, Howes, Russell, Huang, Po-Yao, Li, Shang-Wen, Misra, Ishan, Rabbat, Michael, Sharma, Vasu, Synnaeve, Gabriel, Xu, Hu, Jegou, Hervé, Mairal, Julien, Labatut, Patrick, Joulin, Armand, Bojanowski, Piotr

“… The recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in computer vision …”
Volltext

Guest Editorial: Special Issue: Computer Vision and Pattern Recognition (DAGM GCPR 2019) von Frintrop, Simone, Fink, Gernot A., Jiang, Xiaoyi

Volltext

Computer Vision and Pattern Recognition 2020 von Akata, Zeynep, Geiger, Andreas, Sattler, Torsten

Volltext

Sparse Representation for Computer Vision and Pattern Recognition von Wright, John, Ma, Yi, Mairal, Julien, Sapiro, Guillermo, Huang, Thomas S., Yan, Shuicheng

“… Techniques from sparse signal representation are beginning to see significant impact in computer vision, often on nontraditional applications where the goal is not just to obtain a compact high …”
Volltext

A Vision Transformer-Based Framework for Knowledge Transfer From Multi-Modal to Mono-Modal Lymphoma Subtyping Models von Bilel Guetarni, Feryal Windal, Halim Benhabiles, Marianne Petit, Romain Dubois, Emmanuelle Leteurtre, Dominique Collard

Volltext

Emotion recognition : a pattern analysis approach von Konar, Amit, Chakraborty, Aruna

“… A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signals This book provides a comprehensive examination …”
Volltext

2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012) : Providence, Rhode Island, USA, 16-24 June 2012 von IEEE Conference on Computer Vision and Pattern Recognition

Volltext

2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011) : Colorado Springs, Colorado, USA, 20-25 June 2011 von IEEE Conference on Computer Vision and Pattern Recognition

Volltext

2010 IEEE Conference on Computer Vision and Pattern Recognition : San Francisco, California, USA, 13-18 June 2010 von IEEE Conference on Computer Vision and Pattern Recognition

Volltext

Expression-Preserving Face Frontalization Improves Visually Assisted Speech Processing von Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda

Volltext

2009 IEEE Conference on Computer Vision and Pattern Recognition : Miami, Florida, USA, 20-25 June 2009 von IEEE Conference on Computer Vision and Pattern Recognition

Volltext

Computer and machine vision : theory, algorithms, practicalities von Davies, E. R.

“… Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision …”
Volltext

2008 IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, 23-28 June 2008 von IEEE Conference on Computer Vision and Pattern Recognition

Volltext

Physical Adversarial Attack Meets Computer Vision: A Decade Survey von Hui Wei, Hao Tang, Xuemei Jia, Zhixiang Wang, Hanxun Yu, Zhubo Li, Shin’ichi Satoh, Luc Van Gool, Zheng Wang

Volltext

Conference on Computer Vision and Pattern Recognition (CVPR) 2022

Volltext

A Branch-and-Bound Approach to Correspondence and Grouping Problems von Bazin, J., Hongdong Li, In So Kweon, Demonceaux, C., Vasseur, P., Ikeuchi, K.

“… Data correspondence/grouping under an unknown parametric model is a fundamental topic in computer vision …”
Volltext

Conference on Computer Vision and Pattern Recognition (CVPR) 2022

Volltext

Proceedings : CVPR '89 : IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 4-8, 1989, San Diego, California von IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society

Volltext

Recurrent Knowledge Distillation von Pintea, Silvia L., Liu, Yue, van Gemert, Jan C.

“… Knowledge distillation compacts deep networks by letting a small student network learn from a large teacher network. The accuracy of knowledge distillation …”
Volltext