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