Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks 6864-6872 Sparse Domain Gaussianization for Multi-Variate Statistical Modeling of Retinal OCT Images 6873-6884 Dark and Bright Channel Prior Embedded Network for Dynamic Scene Deblurring 6885-6897 Efficient Low-Resolution Face Recognition via Bridge Distillation 6898-6908 An ILP Model for Multi-Label MRFs With Connectivity Constraints 6909-6917 Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains 6918-6931 Few-Shot Text Style Transfer via Deep Feature Similarity 6932-6946 Dehazing Evaluation: Real-World Benchmark Datasets, Criteria, and Baselines 6947-6962 Learning Recurrent 3D Attention for Video-Based Person Re-Identification 6963-6976 Multi-Modal Recurrent Attention Networks for Facial Expression Recognition 6977-6991 Progressive Feature Matching: Incremental Graph Construction and Optimization 6992-7005 Bi-Modal Progressive Mask Attention for Fine-Grained Recognition 7006-7018 Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation 7019-7031 A New Hybrid Level Set Approach 7032-7044 Remove Cosine Window From Correlation Filter-Based Visual Trackers: When and How 7045-7060 The TV Regularized Mumford-Shah Model for Image Labeling and Segmentation 7061-7075 A New Polarization Image Demosaicking Algorithm by Exploiting Inter-Channel Correlations With Guided Filtering 7076-7089 Long-Term Video Prediction via Criticization and Retrospection 7090-7103 Learning to Align via Wasserstein for Person Re-Identification 7104-7116 Model-Guided Multi-Path Knowledge Aggregation for Aerial Saliency Prediction 7117-7127 Fast Learning of Spatially Regularized and Content Aware Correlation Filter for Visual Tracking 7128-7140 Convexity Shape Prior for Level Set-Based Image Segmentation Method 7141-7152 Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising 7153-7165 Constrained Design of Deep Iris Networks 7166-7175 Confidence-Based Large-Scale Dense Multi-View Stereo 7176-7191 www.signalprocessingsociety.org [13] AUGUST 2020https://dx.doi.org/10.1109/TIP.2020.2994445 https://dx.doi.org/10.1109/TIP.2020.2994454 https://dx.doi.org/10.1109/TIP.2020.2995048 https://dx.doi.org/10.1109/TIP.2020.2995049 https://dx.doi.org/10.1109/TIP.2020.2995056 https://dx.doi.org/10.1109/TIP.2020.2995061 https://dx.doi.org/10.1109/TIP.2020.2995062 https://dx.doi.org/10.1109/TIP.2020.2995264 https://dx.doi.org/10.1109/TIP.2020.2995272 https://dx.doi.org/10.1109/TIP.2020.2996086 https://dx.doi.org/10.1109/TIP.2020.2996092 https://dx.doi.org/10.1109/TIP.2020.2996736 https://dx.doi.org/10.1109/TIP.2020.2997247 https://dx.doi.org/10.1109/TIP.2020.2997331 https://dx.doi.org/10.1109/TIP.2020.2997521 https://dx.doi.org/10.1109/TIP.2020.2997524 https://dx.doi.org/10.1109/TIP.2020.2998281 https://dx.doi.org/10.1109/TIP.2020.2998281 https://dx.doi.org/10.1109/TIP.2020.2998297 https://dx.doi.org/10.1109/TIP.2020.2998931 https://dx.doi.org/10.1109/TIP.2020.2998977 https://dx.doi.org/10.1109/TIP.2020.2998978 https://dx.doi.org/10.1109/TIP.2020.2998981 https://dx.doi.org/10.1109/TIP.2020.2999209 https://dx.doi.org/10.1109/TIP.2020.2999211 https://dx.doi.org/10.1109/TIP.2020.2999853 http://www.signalprocessingsociety.org