Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification On the Robustness of Average Losses for Partial-Label Learning Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis In-Domain GAN Inversion for Faithful Reconstruction and Editability t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity Semi-Supervised Learning for FGVC With Out-of-Category Data The Impact of Adversarial Attacks on Federated Learning: A Survey Revisiting Person Re-Identification by Camera Selection A Flexible EM-Like Clustering Algorithm for Noisy Data DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions CADC++: Advanced Consensus-Aware Dynamic Convolution for Co-Salient Object Detection Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis Deep$\mathrm {M^{2}}$M2CDL: Deep Multi-Scale Multi-Modal Convolutional Dictionary Learning Network Model-Based Reinforcement Learning With Isolated Imaginations Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation Identity-Guided Collaborative Learning for Cloth-Changing Person Reidentification Growing Like a Tree: Finding Trunks From Graph Skeleton Trees Anti-UAV410: A Thermal Infrared Benchmark and Customized Scheme for Tracking Drones in the Wild Detecting Line Segments in Motion-Blurred Images With Events Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain Structured Pruning for Deep Convolutional Neural Networks: A Survey ConvMatch: Rethinking Network Design for Two-View Correspondence Learning Understanding and Mitigating Dimensional Collapse in Federated Learning SketchTrans: Disentangled Prototype Learning With Transformer for Sketch-Photo Recognition Co-Guiding for Multi-Intent Spoken Language Understanding Learning Dynamic Scene-Conditioned 3D Object Detectors DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation Faster Person Re-Identification: One-Shot-Filter and Coarse-to-Fine Search Binary Graph Convolutional Network With Capacity Exploration Variational Adversarial Defense: A Bayes Perspective for Adversarial Training A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing Robust Multi-Agent Communication With Graph Information Bottleneck Optimization Sheared Epipolar Focus Spectrum for Dense Light Field Reconstruction CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention AGDF-Net: Learning Domain Generalizable Depth Features With Adaptive Guidance Fusion X$^{2}$2-VLM: All-in-One Pre-Trained Model for Vision-Language Tasks A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning A Fast Alpha-Tree Algorithm for Extreme Dynamic Range Pixel Dissimilarities Context Disentangling and Prototype Inheriting for Robust Visual Grounding Informed Adaptive Sensing Knockoffs-SPR: Clean Sample Selection in Learning With Noisy Labels Diffeomorphic Counterfactuals With Generative Models SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation Interpretable Rotation-Equivariant Quaternion Neural Networks for 3D Point Cloud Processing Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems Learning to Follow and Generate Instructions for Language-Capable Navigation