Cross-Modal Knowledge Adaptation for Language-Based Person Search 4057-4069 Different Input Resolutions and Arbitrary Output Resolution: A Meta Learning-Based Deep Framework for Infrared and Visible Image Fusion 4070-4083 SC-RPN: A Strong Correlation Learning Framework for Region Proposal 4084-4098 Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding 4099-4113 Light Field Super-Resolution via Adaptive Feature Remixing 4114-4128 Deep Shearlet Residual Learning Network for Single Image Super-Resolution 4129-4142 Flexible Multi-View Unsupervised Graph Embedding 4143-4156 Features Guided Face Super-Resolution via Hybrid Model of Deep Learning and Random Forests 4157-4170 A Sparse Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor 4171-4182 Multi-Stream Attention-Aware Graph Convolution Network for Video Salient Object Detection 4183-4197 Combining Progressive Rethinking and Collaborative Learning: A Deep Framework for In-Loop Filtering 4198-4211 Incremental Generative Occlusion Adversarial Suppression Network for Person ReID 4212-4224 Semantic Perceptual Image Compression With a Laplacian Pyramid of Convolutional Networks 4225-4237 Rethinking Image Salient Object Detection: Object-Level Semantic Saliency Reranking First, Pixelwise Saliency Refinement Later 4238-4252 Few-Shot Common-Object Reasoning Using Common-Centric Localization Network 4253-4262 Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities 4263-4274 Hand Pose Understanding With Large-Scale Photo-Realistic Rendering Dataset 4275-4290 Enhancing ISAR Image Efficiently via Convolutional Reweighted Minimization 4291-4304 EDICS Information for Authorshttps://dx.doi.org/10.1109/TIP.2021.3068825 https://dx.doi.org/10.1109/TIP.2021.3069339 https://dx.doi.org/10.1109/TIP.2021.3069339 https://dx.doi.org/10.1109/TIP.2021.3069547 https://dx.doi.org/10.1109/TIP.2021.3069296 https://dx.doi.org/10.1109/TIP.2021.3069291 https://dx.doi.org/10.1109/TIP.2021.3069317 https://dx.doi.org/10.1109/TIP.2021.3062692 https://dx.doi.org/10.1109/TIP.2021.3069554 https://dx.doi.org/10.1109/TIP.2021.3069190 https://dx.doi.org/10.1109/TIP.2021.3070200 https://dx.doi.org/10.1109/TIP.2021.3068638 https://dx.doi.org/10.1109/TIP.2021.3068638 https://dx.doi.org/10.1109/TIP.2021.3070182 https://dx.doi.org/10.1109/TIP.2021.3065244 https://dx.doi.org/10.1109/TIP.2021.3068649 https://dx.doi.org/10.1109/TIP.2021.3068649 https://dx.doi.org/10.1109/TIP.2021.3070733 https://dx.doi.org/10.1109/TIP.2021.3070752 https://dx.doi.org/10.1109/TIP.2021.3070752 https://dx.doi.org/10.1109/TIP.2021.3070439 https://dx.doi.org/10.1109/TIP.2021.3070442 https://www.signalprocessingsociety.org/publications-resources/ieee-transactions-image-processing/edics https://www.signalprocessingsociety.org/publications-resources/ieee-signal-processing-letters/information-authors-spl