Machine Learning, Neural Network and Deep Learning.- Edge-Wise One-Level Global Pruning on NAS generated networks.- Convolution Tells Where to Look.- Robust Single-step Adversarial Training with Regularizer.- Texture-guided U-Net for OCT-to-OCTA Generation.- Learning Key Actors and Their Interactions for Group Activity Recognition.- Attributed Non-negative Matrix Multi-Factorization for Data Representation.- Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels.- A Residual Correction Approach for Semi-supervised Semantic Segmentation.- Hypergraph Convolutional Network with Hybrid Higher-order Neighbors.- Text-Aware Single Image Specular Highlight Removal.- Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model.- A Competition of Shape and Texture Bias by Multi-View Image Representation.- Learning Indistinguishable and Transferable Adversarial Examples.- Efficient Object Detection and Classification of Ground Objects from Thermal Infrared Remote Sensing Image Based on Deep Learning.- MEMA-NAS: Memory-Efficient Multi-Agent Neural Architecture Search.- Adversarial Decoupling for Weakly Supervised Semantic Segmentation.- Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark.- Efficient and real-time particle detection via encoder-decoder network.- Flexible Projection Search using Optimal Re-weighted Adjacency for Unsupervised Manifold Learning .- Fabric Defect Detection via Multi-scale Feature Fusion-based Saliency.- Improving Adversarial Robustness of Detectors via Objectness Regularization.- IPE Transformer for Depth Completion with Input-Aware Positional Embeddings.- Enhanced Multi-view Matrix Factorization with Shared Representation.- Multi-level Residual Attention Network for Speckle Suppression.- Suppressing Style-Sensitive Features via Randomly Erasing for Domain Generalizable Semantic Segmentation.- MAGAN: Multi-Attention Generative Adversarial Networks for Text-to-Image Generation.- Dual Attention Based Network with Hierarchical ConvLSTM for Video Object Segmentation.- Distance-based Class Activation Map for Metric Learning.- Reading Pointer Meter through One Stage End-to-End Deep Regression.- Deep Architecture Compression with Automatic Clustering of Similar Neurons.- Attention Guided Spatio-temporal Artifacts Extraction for Deepfake Detection.- Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network.- Anti-occluded person re-identification via pose restoration and dual channel feature distance measurement.- Dynamic Runtime Feature Map Pruning.- Special Session: New Advances in Visual Perception and Understanding.- Multi-Branch Graph Network for Learning Human-Object Interaction.- FDEA: Face Dataset with Ethnicity Attribute.- TMD-FS: Improving Few-Shot Object Detection with Transformer Multi-modal Directing.- Feature Matching Network for Weakly-Supervised Temporal Action Localization.- LiDAR-based symmetrical guidance for 3D Object Detection.- Few-shot Segmentation via Complementary Prototype Learning and Cascaded Refinement.- Couple Double-Stage FPNs with Single Pipe-line for solar speckle images deblurring.- Multi-scale Image Partitioning and Saliency Detection for Single Image Blind Deblurring.- CETransformer: Casual Effect Estimation via Transformer Based Representation Learning.- An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training.- Invertible Image Compressive Sensing.- Gradient-free Neural Network Training Based on Deep Dictionary Learning with the Log Regularizer.