Cross-Weather Image Alignment via Latent Generative Model With Intensity Consistency 5216-5228 A Weighted Fidelity and Regularization-Based Method for Mixed or Unknown Noise Removal From Images on Graphs Attribute-Guided Attention for Referring Expression Generation and Comprehension 5229-5243 Gaze Estimation by Exploring Two-Eye Asymmetry 5259-5272 Dynamic Scene Deblurring by Depth Guided Model 5273-5288 Similarity-Preserving Linkage Hashing for Online Image Retrieval 5289-5300 Outdoor RGBD Instance Segmentation With Residual Regretting Learning 5301-5309 Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers Fusion of Magnetic Resonance and Ultrasound Images for Endometriosis Detection 5310-5323 Deep Saliency Hashing for Fine-Grained Retrieval 5336-5351 Efficient In-Loop Filtering Based on Enhanced Deep Convolutional Neural Networks for HEVC 5352-5366 Practically Lossless Affine Image Transformation 5367-5373 Graph-Based Non-Convex Low-Rank Regularization for Image Compression Artifact Reduction 5374-5385 Generalized Convolutional Sparse Coding With Unknown Noise 5386-5395 Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification 5396-5407 Sparse Graph Regularized Mesh Color Edit Propagation 5408-5419 STC-GAN: Spatio-Temporally Coupled Generative Adversarial Networks for Predictive Scene Parsing 5420-5430 Learned Fast HEVC Intra Coding 5431-5446 A Novel Symmetry Driven Siamese Network for THz Concealed Object Verification 5447-5456 Web-Shaped Model for Head Pose Estimation: An Approach for Best Exemplar Selection 5457-5468 Rate-Distortion Driven Decomposition of Multiview Imagery to Diffuse and Specular Components 5469-5480 Unsupervised Person Re-identification via Cross-Camera Similarity Exploration 5481-5490 EDICS Information for Authors www.signalprocessingsociety.org [5] MAY 2020 5244-5258 5324-5335https://dx.doi.org/10.1109/TIP.2020.2980210 https://dx.doi.org/10.1109/TIP.2020.2969076 https://dx.doi.org/10.1109/TIP.2020.2969076 https://dx.doi.org/10.1109/TIP.2020.2979010 https://dx.doi.org/10.1109/TIP.2020.2982828 https://dx.doi.org/10.1109/TIP.2020.2980173 https://dx.doi.org/10.1109/TIP.2020.2981879 https://dx.doi.org/10.1109/TIP.2020.2975711 https://dx.doi.org/10.1109/TIP.2020.2980753 https://dx.doi.org/10.1109/TIP.2020.2980753 https://dx.doi.org/10.1109/TIP.2020.2975977 https://dx.doi.org/10.1109/TIP.2020.2971105 https://dx.doi.org/10.1109/TIP.2020.2982534 https://dx.doi.org/10.1109/TIP.2020.2982260 https://dx.doi.org/10.1109/TIP.2020.2975931 https://dx.doi.org/10.1109/TIP.2020.2980980 https://dx.doi.org/10.1109/TIP.2020.2983560 https://dx.doi.org/10.1109/TIP.2020.2980962 https://dx.doi.org/10.1109/TIP.2020.2983567 https://dx.doi.org/10.1109/TIP.2020.2982832 https://dx.doi.org/10.1109/TIP.2020.2983554 https://dx.doi.org/10.1109/TIP.2020.2984373 https://dx.doi.org/10.1109/TIP.2020.2983849 https://dx.doi.org/10.1109/TIP.2020.2982826 https://www.signalprocessingsociety.org/publications-resources/ieee-signal-processing-letters/edics https://www.signalprocessingsociety.org/publications-resources/ieee-signal-processing-letters/information-authors-spl http://www.signalprocessingsociety.org