Training Robust Object Detectors From Noisy Category Labels and Imprecise Bounding Boxes SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification Triply Complementary Priors for Image Restoration Detail Preserving Coarse-to-Fine Matching for Stereo Matching and Optical Flow Multi-Scale Structure-Aware Network for Weakly Supervised Temporal Action Detection SCG: Saliency and Contour Guided Salient Instance Segmentation LayerCAM: Exploring Hierarchical Class Activation Maps for Localization Shape-Preserving Stereo Object Remapping via Object-Consistent Grid Warping Subjective and Objective Quality Assessment of 2D and 3D Foveated Video Compression in Virtual Reality Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition Coarse-to-Fine Semantic Alignment for Cross-Modal Moment Localization Deep K-SVD Denoising End-to-End Light Field Spatial Super-Resolution Network Using Multiple Epipolar Geometry Speckle-Free SAR Image Ship Detection Delving Deep Into Label Smoothing Blind Decomposition of Multispectral Document Images Using Orthogonal Nonnegative Matrix Factorization Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation Multi-View Face Synthesis via Progressive Face Flow SDOF-GAN: Symmetric Dense Optical Flow Estimation With Generative Adversarial Networks Multi-Scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing Invertible Image Decolorization PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction 5782-5792 5793-5806 5807-5818 5819-5834 5835-5847 5848-5861 5862-5874 5875-5888 5889-5904 5905-5919 5920-5932 5933-5943 5944-5955 5956-5968 5969-5983 5984-5996 5997-6012 6013-6023 6024-6035 6036-6049 6050-6065 6066-6080 6081-6095 6096-6106 www.signalprocessingsociety.org [4] JUNE 2021https://dx.doi.org/10.1109/TIP.2021.3085208 https://dx.doi.org/10.1109/TIP.2021.3087397 https://dx.doi.org/10.1109/TIP.2021.3087397 https://dx.doi.org/10.1109/TIP.2021.3088642 https://dx.doi.org/10.1109/TIP.2021.3088642 https://dx.doi.org/10.1109/TIP.2021.3086049 https://dx.doi.org/10.1109/TIP.2021.3088635 https://dx.doi.org/10.1109/TIP.2021.3089361 https://dx.doi.org/10.1109/TIP.2021.3088282 https://dx.doi.org/10.1109/TIP.2021.3089943 https://dx.doi.org/10.1109/TIP.2021.3089947 https://dx.doi.org/10.1109/TIP.2021.3087322 https://dx.doi.org/10.1109/TIP.2021.3087322 https://dx.doi.org/10.1109/TIP.2021.3088605 https://dx.doi.org/10.1109/TIP.2021.3090521 https://dx.doi.org/10.1109/TIP.2021.3090531 https://dx.doi.org/10.1109/TIP.2021.3079805 https://dx.doi.org/10.1109/TIP.2021.3089936 https://dx.doi.org/10.1109/TIP.2021.3089942 https://dx.doi.org/10.1109/TIP.2021.3088266 https://dx.doi.org/10.1109/TIP.2021.3088266 https://dx.doi.org/10.1109/TIP.2021.3090522 https://dx.doi.org/10.1109/TIP.2021.3090658 https://dx.doi.org/10.1109/TIP.2021.3084073 https://dx.doi.org/10.1109/TIP.2021.3091833 https://dx.doi.org/10.1109/TIP.2021.3091834 https://dx.doi.org/10.1109/TIP.2021.3091902 https://dx.doi.org/10.1109/TIP.2021.3089380 http://www.signalprocessingsociety.org