Speaker Attractor Network: Generalizing Speech Separation to Unseen Numbers of Sources 1859-1863 Motion Context Network for Weakly Supervised Object Detection in Videos 1864-1868 Vein-Based Biometric Verification Using Densely-Connected Convolutional Autoencoder 1869-1873 Hierarchical RANSAC-Based Rotation Averaging 1874-1878 Legitimate Surveillance via Jamming in Multichannel Relaying System 1879-1883 Fractional-Order Correntropy Adaptive Filters for Distributed Processing of -Stable Signals 1884-1888 Online Automatic Speech Recognition With Listen, Attend and Spell Model 1889-1893 A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis 1894-1898 Matrix Capsule Convolutional Projection for Deep Feature Learning 1899-1903 On the Generation of Long Binary Sequences With Record-Breaking PSL Values 1904-1908 Gradient of Error Probability of -ary Hypothesis Testing Problems Under Multivariate Gaussian Noise 1909-1913 Quantizing Oriented Object Detection Network via Outlier-Aware Quantization and IoU Approximation 1914-1918 A Novel Parameter Estimation for Polynomial Phase Signals Using the Spectrum Phase 1919-1923 A New Approach to Gaussian Signal Smoothing: Application to ECG Components Separation 1924-1928 Multiscale Convolutional Fusion Network for Non-Lambertian Photometric Stereo 1929-1933 Partial FFT Demodulation Scheme Based on Fast Convolution Structure 1934-1938 Joint Amplitude and Phase Refinement for Monaural Source Separation 1939-1943 Real-Time 3D Face Alignment Using an Encoder-Decoder Network With an Efficient Deconvolution Layer 1944-1948 Temporally Refined Graph U-Nets for Human Shape and Pose Estimation From Monocular Videos EDICS Information for Authors www.signalprocessingsociety.org 26 DECEMBER 2020 1949-1953https://dx.doi.org/10.1109/LSP.2020.3029704 https://dx.doi.org/10.1109/LSP.2020.3029958 https://dx.doi.org/10.1109/LSP.2020.3030533 https://dx.doi.org/10.1109/LSP.2020.3031759 https://dx.doi.org/10.1109/LSP.2020.3028974 https://dx.doi.org/10.1109/LSP.2020.3029702 https://dx.doi.org/10.1109/LSP.2020.3031480 https://dx.doi.org/10.1109/LSP.2020.3028006 https://dx.doi.org/10.1109/LSP.2020.3028006 https://dx.doi.org/10.1109/LSP.2020.3030550 https://dx.doi.org/10.1109/LSP.2020.3031463 https://dx.doi.org/10.1109/LSP.2020.3031487 https://dx.doi.org/10.1109/LSP.2020.3031487 https://dx.doi.org/10.1109/LSP.2020.3031490 https://dx.doi.org/10.1109/LSP.2020.3031490 https://dx.doi.org/10.1109/LSP.2020.3032895 https://dx.doi.org/10.1109/LSP.2020.3031501 https://dx.doi.org/10.1109/LSP.2020.3031482 https://dx.doi.org/10.1109/LSP.2020.3031499 https://dx.doi.org/10.1109/LSP.2020.3031464 https://dx.doi.org/10.1109/LSP.2020.3032277 https://dx.doi.org/10.1109/LSP.2020.3032277 https://dx.doi.org/10.1109/LSP.2020.3033462 https://dx.doi.org/10.1109/LSP.2020.3033462 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