Computer Vision and Pattern Recognition · Computer Science
Perceptual Compressive Sensing
Jiang Du, Xuemei Xie, Chenye Wang, Guangming Shi
2018-11-29
Machine Learning · Computer Science
Compressively Sensed Image Recognition
Aysen Degerli, Sinem Aslan, Mehmet Yamac, Bulent Sankur +1
2018-10-16
Information Theory · Computer Science
Compressive optical interferometry
Davood Mardani, H. Esat Kondakci, Lane Martin, Ayman F. Abouraddy +1
2018-10-24
Computer Vision and Pattern Recognition · Computer Science
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning
Xiaotong Lu, Weisheng Dong, Peiyao Wang, Guangming Shi +1
2018-02-01
Computer Vision and Pattern Recognition · Computer Science
Disentangle Perceptual Learning through Online Contrastive Learning
Kangfu Mei, Yao Lu, Qiaosi Yi, Haoyu Wu +2
2020-06-25
Information Theory · Computer Science
Progressive Compressed Sensing and Reconstruction of Multidimensional Signals Using Hybrid Transform/Prediction Sparsity Model
Giulio Coluccia, Simeon Kamden-Kuiteng, Andrea Abrardo, Mauro Barni +1
2014-03-06
Computer Vision and Pattern Recognition · Computer Science
Compressive Acquisition of Dynamic Scenes
Aswin C Sankaranarayanan, Pavan K Turaga, Rama Chellappa, Richard G Baraniuk
2013-06-27
Information Theory · Computer Science
Compressive Hyperspectral Imaging Using Progressive Total Variation
Simeon Kamdem Kuiteing, Giulio Coluccia, Alessandro Barducci, Mauro Barni +1
2014-03-10
Information Theory · Computer Science
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Mark A. Davenport, Jason N. Laska, John R. Treichler, Richard G. Baraniuk
2015-05-28
Computer Vision and Pattern Recognition · Computer Science
Adaptive-Rate Compressive Sensing Using Side Information
Garrett Warnell, Sourabh Bhattacharya, Rama Chellappa, Tamer Basar
2023-07-19
Computer Vision and Pattern Recognition · Computer Science
Error Resilient Deep Compressive Sensing
Thuong, Nguyen Canh, Chien, Trinh Van
2019-12-02
Audio and Speech Processing · Electrical Eng. & Systems
Contrastive Separative Coding for Self-supervised Representation Learning
Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu
2021-03-02
Materials Science · Physics
Compressive sensing as a new paradigm for model building
Lance J. Nelson, Fei Zhou, Gus L. W. Hart, Vidvuds Ozolins
2013-02-05
Machine Learning · Computer Science
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu, Milan Mosse, Chengxu Zhuang, Daniel Yamins +1
2020-10-06