Neural Information Processing

Image Processing by Neural Techniques.- STNet: A Style Transformation Network for Deep Image Steganography.- Multi-person 3D Pose Estimation  from Monocular Image Sequences.- Super-Resolution Network for General Static Degradation Model.- Feature Combination Based on Receptive Fields and Cross-Fusion Feature Pyramid for Object Detection.- Multi-scale Information Distillation Network for Image Super Resolution in NSCT Domain.- Image Denoising Networks with Residual Blocks and RReLUs.- Shape Description and Retrieval in a Fused Scale Space.- Only Image Cosine Embedding For Few-shot Learning.- Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes.- A Robustness and Low Bit-rate Image Compression Network for Underwater Acoustic Communication.- Gated Contiguous Memory U-Net for Single Image Dehazing.- Combined Correlation Filters With Siamese Region Proposal Network For Visual Tracking.- RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments.- A Novel Image-Based Malware Classification Model Using Deep Learning.- Visual Saliency Detection via Convolutional Gated Recurrent Units.- RBPNET:An asymptotic residual back-projection network for super resolution of very low resolution face image.- Accurate Single Image Super-Resolution using Deep Aggregation Network.- Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information.- Cross-View Image Retrieval - Ground to Aerial Image Retrieval through Deep Learning.- Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds.- Learning from Incomplete Data.- Improving Object Detection with Consistent Negative Sample Mining.- A model selection criterion for LASSO estimate with scaling.- Geometric mean metric learning for label distribution learning.- Explicit Center Selection and Training for Fault Tolerant RBF Networks.- Learning with Incomplete Labels for Multi-label Image Annotationusing CNN and Restricted Boltzmann Machines.- Learning-Based Confidence Estimation for Multi-Modal Classifier Fusion.- Model Compression and Optimisation.- Siamese Network for Classification with Optimization of AUC.- Attention-based Audio-visual Fusion for Video Summarization.- RLDR-Pruning: Restricted Linear Dimensionality Reduction Approach for Model Compression.- Adaptive Neuro-Surrogate-Based Optimization Method for Wave Energy Converters Placement Optimization.- Lightweighted Modal Regression for stand alone embedded systems.- Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions.- Neural Learning Models.- Sparse Least Squares Low Rank Kernel Machines.- Proposal of online regularization for dynamical structure optimization in complex-valued neural networks.- Set Aggregation Network as a Trainable Pooling Layer.- Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence.- Conditionally Decorrelated Multi-TargetRegression.- Local Near-optimal Control for Interconnected Systems with Time-varying Delays.- Neural Network Applications.- Transferring Tree Ensembles to Neural Networks.- Neuro-inspired System with Crossbar Array of Amorphous Metal-Oxide-Semiconductor Thin-Film Devices as Self-Plastic Synapse Units - Letter Recognition of Five Alphabets.- Barrier Function Based Consensus of High-order Nonlinear Multi-agent Systems With State Constraints.- Transformer-DW: A Transformer Network with Dynamic and Weighted Head.- Motion-based Occlusion-aware Pixel Graph Network for Video Object Segmentation.- Modeling Severe Traffic Accidents with Spatial and Temporal Features.- Sparse Dynamic Binary Neural Networks for Storage and Switching of Binary Periodic Orbits.- IMDB-Attire: A Novel Dataset for Attire Detection and Localization.- From Raw Signals to Human Skills Level in Physical Human-Robot Collaboration for Advanced-Manufacturing Applications.- Intelligent Image Retrieval Based on Multi-swar