Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking A Convolutional Neural Network-Based Conditional Random Field Model for Structured MultiFocus Image Fusion Robust to Noise Image Separation With Side Information: A Connected Auto-Encoders Based Approach TransWeaver: Weave Image Pairs for Class Agnostic Common Object Detection Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation On Single-Model Transferable Targeted Attacks: A Closer Look at Decision-Level Optimization Win-Win by Competition: Auxiliary-Free Cloth-Changing Person Re-Identification Spatial Context-Aware Object-Attentional Network for Multi-Label Image Classification Video Summarization With Spatiotemporal Vision Transformer WaveNet: Wavelet Network With Knowledge Distillation for RGB-T Salient Object Detection Event-Aware Video Deraining via Multi-Patch Progressive Learning Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation U-Shape Transformer for Underwater Image Enhancement Toward 3D Face Reconstruction in Perspective Projection: Estimating 6DoF Face Pose From Monocular Image JPEG 2000 Extensions for Scalable Coding of Discontinuous Media Nowhere to Disguise: Spot Camouflaged Objects via Saliency Attribute Transfer Noise Prior Knowledge Informed Bayesian Inference Network for Hyperspectral Super-Resolution Fine-Grained Video Retrieval With Scene Sketches LineDL: Processing Images Line-by-Line With Deep Learning Multi-Granularity Context Network for Efficient Video Semantic Segmentation www.signalprocessingsociety.org [12] JULY 2023 2901-2914 2915-2930 2931-2946 2947-2959 2960-2971 2972-2984 2985-2999 3000-3012 3013-3026 3027-3039 3040-3053 3054-3065 3066-3079 3080-3091 3092-3107 3108-3120 3121-3135 3136-3149 3150-3162 3163-3175https://dx.doi.org/10.1109/TIP.2023.3263109 https://dx.doi.org/10.1109/TIP.2023.3276330 https://dx.doi.org/10.1109/TIP.2023.3276330 https://dx.doi.org/10.1109/TIP.2023.3275872 https://dx.doi.org/10.1109/TIP.2023.3275870 https://dx.doi.org/10.1109/TIP.2023.3275913 https://dx.doi.org/10.1109/TIP.2023.3275913 https://dx.doi.org/10.1109/TIP.2023.3276331 https://dx.doi.org/10.1109/TIP.2023.3277389 https://dx.doi.org/10.1109/TIP.2023.3266161 https://dx.doi.org/10.1109/TIP.2023.3275069 https://dx.doi.org/10.1109/TIP.2023.3275538 https://dx.doi.org/10.1109/TIP.2023.3272283 https://dx.doi.org/10.1109/TIP.2023.3277791 https://dx.doi.org/10.1109/TIP.2023.3276332 https://dx.doi.org/10.1109/TIP.2023.3275535 https://dx.doi.org/10.1109/TIP.2023.3275535 https://dx.doi.org/10.1109/TIP.2023.3276569 https://dx.doi.org/10.1109/TIP.2023.3277793 https://dx.doi.org/10.1109/TIP.2023.3278080 https://dx.doi.org/10.1109/TIP.2023.3278474 https://dx.doi.org/10.1109/TIP.2023.3277394 https://dx.doi.org/10.1109/TIP.2023.3269982 http://www.signalprocessingsociety.org