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2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 5386-5395 Convolutional neural nets A Joint Relationship Aware Neural Network for Single-Image 3D Human Pose Estimation.  ...  ., +, TIP 2020 8467-8475 An Improved Multi-View Convolutional Neural Network for 3D Object Retrieval.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIP 2021 8785-8796 MLDA-Net: Multi-Level Dual Attention-Based Network for Self-Supervised Monocular Depth Estimation.  ...  ., +, TIP 2021 402-417 Image Restoration via Reconciliation of Group Sparsity and Low-Rank Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TMM 2021 1160-1172 3D Pose Estimation Based on Reinforce Learning for 2D Image-Based 3D Model Retrieval.  ...  ., +, TMM 2021 3013-3021 Learning Representations for High-Dynamic-Range Image Color Transfer in a Self-Supervised Way.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674 Hu, C., Zhang,  ...  Curvilinear Spotlight SAR Imaging on Arbitrary Region of Interest; TGRS Oct. 2019 7995-8010 Hu, T., see Kang, Z., TGRS Jan. 2019 181-193 Hu, T., Wu, Y., Zheng, G., Zhang, D., Zhang, Y., and Li, Y.,  ...  Atrous Convolution Neural Network for Hyperspectral Image Denoising.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

2020 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 28

2020 IEEE/ACM Transactions on Audio Speech and Language Processing  
., +, TASLP 2020 402-415 Convolutional codes SPICE: Self-Supervised Pitch Estimation.  ...  Lee, T., +, TASLP 2020 2412-2426 Sound Events Recognition and Retrieval Using Multi-Convolutional-Channel Sparse Coding Convolutional Neural Networks.  ...  T Target tracking Multi-Hypothesis Square-Root Cubature Kalman Particle Filter for Speaker Tracking in Noisy and Reverberant Environments. Zhang, Q., +, TASLP 2020 1183 -1197  ... 
doi:10.1109/taslp.2021.3055391 fatcat:7vmstynfqvaprgz6qy3ekinkt4

2020 Index IEEE Transactions on Computational Imaging Vol. 6

2020 IEEE Transactions on Computational Imaging  
., TCI 2020 1297-1308 Novikov, A., see Moscoso, M., TCI 2020 87-94  ...  ., +, TCI 2020 248-262 Noise2Inverse: Self-Supervised Deep Convolutional Denoising for Tomog- raphy.  ...  ., +, TCI 2020 328-343 Noise2Inverse: Self-Supervised Deep Convolutional Denoising for Tomog- raphy.  ... 
doi:10.1109/tci.2021.3054596 fatcat:puij7ztll5ai7alxrmqzsupcny

Patch Based Deep Local Feature Learning and Self Similarity Multi Level Clustering for Neonatal Brain Segmentation in MR Images

2019 International journal of recent technology and engineering  
To capture the features from the pre-processed image, this project offers a new technique for retrieving features called Patch Based Deep Local Feature Learning (PBDLFL).  ...  After pre-processing the input MR image, the next step is to retrieve the features of a similar image.  ...  A CNN consists of one or more convolutional layers, often with a subsampling layer, which are followed by one or more fully connected layers as in a standard neural network.  ... 
doi:10.35940/ijrte.d9579.118419 fatcat:hr4g54higbdxhe65s3fpjgkhyy

Table of Contents

2020 IEEE Signal Processing Letters  
Minvielle 2069 (Contents Continued on Page xxii) 1500 CANet: Concatenated Attention Neural Network for Image Restoration S. Lim, J. Kim, and W.  ...  Liu 525 Rank-One Matrix Approximation With p -Norm for Image Inpainting . . . . . . . . . . . . . . . . . . . . X. P. Li, Q. Liu, and H. C.  ...  Restoration of Lossy JPEG-Compressed Brain MR Images Using Cross-Domain Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/lsp.2020.3040844 fatcat:xpovskhrvfgctk3hhufuvpyyne

Table of Contents

2020 IEEE Signal Processing Letters  
Nie 565 DOA Estimation Method Based on Cascaded Neural Network for Two Closely Spaced Sources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Murala 675 Rank-One Matrix Approximation With p -Norm for Image Inpainting . . . . . . . . . . . . . . . . . . . . X. P. Li, Q. Liu, and H. C.  ...  Kornilov 1480 On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/lsp.2020.3040840 fatcat:ezrfzwo6tjbkfhohq2tgec4m6y

Table of contents

2020 IEEE Transactions on Image Processing  
Zhang 3065 Self-Enhanced Convolutional Network for Facial Video Hallucination ............. C. Fang, G. Li, X. Han, and Y.  ...  Kittler 4733 A Joint Relationship Aware Neural Network for Single-Image 3D Human Pose Estimation .............................. .........................................................................  ... 
doi:10.1109/tip.2019.2940372 fatcat:h23ul2rqazbstcho46uv3lunku

Blind Deblurring of Saturated Images Based on Optimization and Deep Learning for Dynamic Visual Inspection on the Assembly Line

Wang, Liu, Wu
2019 Symmetry  
Deblurring predicts the mask specifying saturated pixels, which are then discarded, and denoising is learned via the fast and flexible denoising network (FFDNet) convolutional neural network (CNN) at a  ...  We propose a method to deblur saturated images for dynamic visual inspection by applying blur kernel estimation and deconvolution modeling.  ...  They also thank Lite-On for building up and allowing them to use the visual inspection equipment on its computer case assembly line.  ... 
doi:10.3390/sym11050678 fatcat:f44t6ymnovc3zjh3eb46qpjida

Table of Contents

2020 IEEE Transactions on Computational Imaging  
Ye 1285 Noise2Inverse: Self-Supervised Deep Convolutional Denoising for Tomography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Karl 181 CNF+CT: Context Network Fusion of Cascade-Trained Convolutional Neural Networks for Image Super-Resolution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tci.2021.3054280 fatcat:7se3scatcrcutgat3tpk5mz2nm

Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement [article]

Juan Liu, Masoud Malekzadeh, Niloufar Mirian, Tzu-An Song, Chi Liu, Joyita Dutta
2021 arXiv   pre-print
We present here a detailed review of recent efforts for AI-based PET image enhancement with a focus on network architectures, data types, loss functions, and evaluation metrics.  ...  AI models for image denoising and deblurring are becoming increasingly popular for post-reconstruction enhancement of PET images.  ...  In the deblurring example, a very deep convolutional neural network was used to generate low-count full-count denoised low-resolution high-resolution deblurred a high-resolution PET image similar to those  ... 
arXiv:2107.13595v1 fatcat:dethv7xhpbhjnikwbunr5e3tgi

2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30

2020 IEEE transactions on circuits and systems for video technology (Print)  
., see Sepas-Moghaddam, A., TCSVT Dec. 2020 4496-4512 Hassanpour, H., see Khosravi, M.H., TCSVT Jan. 2020 48-58 Hatzinakos, D., see 2900-2916 Hayat, M., see 2900-2916 He, C., Hu, Y., Chen, Y., Fan  ...  Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network.  ...  ., +, TCSVT Nov. 2020 4192-4206 Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation.  ... 
doi:10.1109/tcsvt.2020.3043861 fatcat:s6z4wzp45vfflphgfcxh6x7npu

Table of contents

2020 IEEE Transactions on Geoscience and Remote Sensing  
Yang 3162 Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network ..................................................................................  ...  Cao 3711 A Convolutional Neural Network With Mapping Layers for Hyperspectral Image Classification ........................ .............................................................................  ... 
doi:10.1109/tgrs.2020.2986115 fatcat:uisusulhrbcizgtvwir54g3wse
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