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Publication search results
found 34 matches
- 2023
- Pradeep S. Naulia, Arunava Roy, Junzo Watada, Izzatdin B. A. Aziz:
A Pixel-Wise k-Immediate Neighbour-Based Image Analysis Approach for Identifying Rock Pores and Fractures from Grayscale Image Samples. Algorithms 16(1): 42 (2023) - Peng Zhang, Shanchuan Guo, Wei Zhang, Cong Lin, Zilong Xia, Xingang Zhang, Hong Fang, Peijun Du:
Pixel-Scene-Pixel-Object Sample Transferring: A Labor-Free Approach for High-Resolution Plastic Greenhouse Mapping. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - 2022
- Chein-I Chang, Kenneth-Yeonkong Ma:
Band Sampling of Kernel Constrained Energy Minimization Using Training Samples for Hyperspectral Mixed Pixel Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-21 (2022) - 2021
- Shuxian Dong, Yinghui Quan, Wei Feng, Gabriel Dauphin, Lianru Gao, Mengdao Xing:
A Pixel Cluster CNN and Spectral-Spatial Fusion Algorithm for Hyperspectral Image Classification With Small-Size Training Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4101-4114 (2021) - Shubham Tulsiani, Abhinav Gupta:
PixelTransformer: Sample Conditioned Signal Generation. ICML 2021: 10455-10464 - Shubham Tulsiani, Abhinav Gupta:
PixelTransformer: Sample Conditioned Signal Generation. CoRR abs/2103.15813 (2021) - Blerta Lindqvist:
Delving into the pixels of adversarial samples. CoRR abs/2106.10996 (2021) - 2020
- Shulei Wu, Wankang Zeng, Huandong Chen:
A sub-pixel image registration algorithm based on SURF and M-estimator sample consensus. Pattern Recognit. Lett. 140: 261-266 (2020) - Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun:
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. ICML 2020: 7652-7662 - Adam Wolff, Shachar Praisler, Ilya Tcenov, Guy Gilboa:
Super-Pixel Sampler: a Data-driven Approach for Depth Sampling and Reconstruction. ICRA 2020: 2588-2594 - Mika Grönroos, Ari Paasio, Mika Laiho:
High-Dynamic-Range Image Reconstruction from Pixel-Level Self-Reset ADC Samples. ISCAS 2020: 1-5 - Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun:
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. CoRR abs/2006.11751 (2020) - 2019
- Xiongpeng He, Guisheng Liao, Jingwei Xu, Shengqi Zhu:
Robust Radial Velocity Estimation Based on Joint-Pixel Normalized Sample Covariance Matrix and Shift Vector for Moving Targets. IEEE Geosci. Remote. Sens. Lett. 16(2): 221-225 (2019) - Mattia Tambaro, Elia A. Vallicelli, David Tomasella, Andrea Baschirotto, Stefano Vassanelli, Marta Maschietto, Marcello De Matteis:
Real-Time Neural (RT-Neu) Spikes Imaging by a 9375 sample/(sec pixel) 32×32 pixels Electrolyte-Oxide-Semiconductor Biosensor. PRIME 2019: 233-236 - 2018
- Marco Trevisi, H. C. Bandala, Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez:
Concurrent focal-plane generation of compressed samples from time-encoded pixel values. DATE 2018: 1316-1320 - 2017
- Chi Zhang, Jin Zheng, Yugui Zhang, Mengxiong Han, Bo Li:
Moving object detection algorithm based on pixel spatial sample difference consensus. Multim. Tools Appl. 76(21): 22077-22093 (2017) - Keng-Fan Lin, Daniele Perissin:
Identification of Statistically Homogeneous Pixels Based on One-Sample Test. Remote. Sens. 9(1): 37 (2017) - Chi Zhang, Jin Zheng, Yugui Zhang, Zhi Zhang:
Moving Object Detection Algorithm Based on Pixel Background Sample Sets in Panoramic Scanning Mode. ICCDA 2017: 171-175 - 2016
- Joseph Peller, Faramarz Farahi, Susan R. Trammell:
Single-pixel hyperspectral imaging for real-time cancer detection: detecting damage in ex vivo porcine tissue samples. Medical Imaging: Digital Pathology 2016: 97910O - 2015
- Miroslav Hagara, Oldrich Ondrácek, Radovan Stojanovic:
Dependence of sub-pixel accuracy of edge detection in 1-D images on number of used samples. MECO 2015: 208-211 - 2014
- Jiangtao Xu, Dongsheng Li, Lu Yu, Suying Yao:
A time error model for time-based PWM pixel with correlated double sample in the circumstance of nonlinear response. Microelectron. Reliab. 54(4): 755-763 (2014) - Luca Parmesan, Neale A. W. Dutton, Neil J. Calder, Andrew J. Holmes, Lindsay A. Grant, Robert K. Henderson:
A 9.8 μm sample and hold time to amplitude converter CMOS SPAD pixel. ESSDERC 2014: 290-293 - 2013
- Javier Cruz-Mota, Michel Bierlaire, Jean-Philippe Thiran:
Sample and Pixel Weighting Strategies for Robust Incremental Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 23(5): 898-911 (2013) - Kefei Lei, John F. Hughes:
Approximate depth of field effects using few samples per pixel. I3D 2013: 119-128 - 2009
- Chao Pang, Oscar C. Au, Jingjing Dai, Wen Yang, Feng Zou:
A fast NL-Means method in image denoising based on the similarity of spatially sampled pixels. MMSP 2009: 1-4 - 2007
- Xiao-Yuan Jing, Yong-Fang Yao, David Zhang, Jing-Yu Yang, Miao Li:
Face and palmprint pixel level fusion and Kernel DCV-RBF classifier for small sample biometric recognition. Pattern Recognit. 40(11): 3209-3224 (2007) - Shree K. Nayar, Srinivasa G. Narasimhan:
Assorted pixels: multi-sampled imaging with structural models. SIGGRAPH Courses 2007: 3 - 2006
- Erol Seke, Kemal Özkan:
Least Squares Sub-pixel Registration Refinement Using Area Sampler Model. J. Math. Imaging Vis. 26(1-2): 19-25 (2006) - Chunsheng Hua, Haiyuan Wu, Qian Chen, Toshikazu Wada:
A Pixel-wise Object Tracking Algorithm with Target and Background Sample. ICPR (1) 2006: 739-742 - Osama A. Omer, Toshihisa Tanaka:
Region-Based Sub-pixel Motion Estimation from Noisy, Blurred, and Down-Sampled Sequences. PCM 2006: 229-236
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