Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images 678-690 Generic Reversible Visible Watermarking via Regularized Graph Fourier Transform Coding EMDQ: Removal of Image Feature Mismatches in Real-Time Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning Adaptive Rate Block Compressive Sensing Based on Statistical Characteristics Estimation Cross-Part Learning for Fine-Grained Image Classification Better Than Reference in Low-Light Image Enhancement: Conditional Re-Enhancement Network Neural Reference Synthesis for Inter Frame Coding Locality-Aware Channel-Wise Dropout for Occluded Face Recognition Group-Wise Learning for Weakly Supervised Semantic Segmentation Deep Stereo Matching With Hysteresis Attention and Supervised Cost Volume Construction Two-Step Registration on Multi-Modal Retinal Images via Deep Neural Networks SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation 839-851 Deep RED Unfolding Network for Image Restoration 3D Layout Estimation via Weakly Supervised Learning of Plane Parameters From 2D Segmentation ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc Segmentation and Classification Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation Limb Pose Aware Networks for Monocular 3D Pose Estimation A Unified Pansharpening Model Based on Band-Adaptive Gradient and Detail Correction A Subjective and Objective Study of Space-Time Subsampled Video Quality Deep Listwise Triplet Hashing for Fine-Grained Image Retrieval Defending Against Multiple and Unforeseen Adversarial Videos End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression Tensor Completion via Complementary Global, Local, and Nonlocal Priors Geometry Sensitive Cross-Modal Reasoning for Composed Query Based Image Retrieval 852-867 868-879 880-893 894-905 906-917 918-933 934-948 949-961 962-973 974-983 984-999 1000-1011 691-705 706-720 721-733 734-747 748-758 759-772 773-787 788-798 799-811 812-822 823-838 www.signalprocessingsociety.org [6] FEBRUARY 2022https://dx.doi.org/10.1109/TIP.2021.3134455 https://dx.doi.org/10.1109/TIP.2021.3134466 https://dx.doi.org/10.1109/TIP.2021.3134456 https://dx.doi.org/10.1109/TIP.2021.3135480 https://dx.doi.org/10.1109/TIP.2021.3135476 https://dx.doi.org/10.1109/TIP.2021.3135477 https://dx.doi.org/10.1109/TIP.2021.3135473 https://dx.doi.org/10.1109/TIP.2021.3134465 https://dx.doi.org/10.1109/TIP.2021.3132827 https://dx.doi.org/10.1109/TIP.2021.3132834 https://dx.doi.org/10.1109/TIP.2021.3135485 https://dx.doi.org/10.1109/TIP.2021.3135708 https://dx.doi.org/10.1109/TIP.2021.3135717 https://dx.doi.org/10.1109/TIP.2021.3135717 https://dx.doi.org/10.1109/TIP.2021.3136623 https://dx.doi.org/10.1109/TIP.2021.3131025 https://dx.doi.org/10.1109/TIP.2021.3136619 https://dx.doi.org/10.1109/TIP.2021.3136619 https://dx.doi.org/10.1109/TIP.2021.3136716 https://dx.doi.org/10.1109/TIP.2021.3136613 https://dx.doi.org/10.1109/TIP.2021.3137020 https://dx.doi.org/10.1109/TIP.2021.3137658 https://dx.doi.org/10.1109/TIP.2021.3137653 https://dx.doi.org/10.1109/TIP.2021.3137648 https://dx.doi.org/10.1109/TIP.2021.3138300 https://dx.doi.org/10.1109/TIP.2021.3138325 https://dx.doi.org/10.1109/TIP.2021.3138302 http://www.signalprocessingsociety.org