Guest Editorial: Introduction to the Special Section on Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond
ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments
PoseScript: Linking 3D Human Poses and Natural Language
Unpaired Image-Text Matching via Multimodal Aligned Conceptual Knowledge
Single-Frame Supervision for Spatio-Temporal Video Grounding
MoIL: Momentum Imitation Learning for Efficient Vision-Language Adaptation
UniDetector: Towards Universal Object Detection With Heterogeneous Supervision
Cap4Video++: Enhancing Video Understanding With Auxiliary Captions
Language-Aware Vision Transformer for Referring Segmentation
NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation
Neural Prompt Search
A General Spatial-Frequency Learning Framework for Multimodal Image Fusion
Self-Supervised Multimodal Learning: A Survey
Instance-Consistent Fair Face Recognition
Autonomous Clustering by Fast Find of Mass and Distance Peaks
C2P-Net: Comprehensive Depth Map to Planar Depth Conversion for Room Layout Estimation
Calibration-Free Raw Image Denoising via Fine-Grained Noise Estimation
Deformable Graph Transformer
SVGDreamer++: Advancing Editability and Diversity in Text-Guided SVG Generation
Towards Unified Deep Image Deraining: A Survey and a New Benchmark
LMP-GAN: Out-of-Distribution Detection for Non-Control Data Malware Attacks
Learning to Explore Sample Relationships
MB-RACS: Measurement-Bounds-Based Rate-Adaptive Image Compressed Sensing Network
Semantic-Aware Pseudo-Labeling for Unsupervised Meta-Learning
Re-Fed+: A Better Replay Strategy for Federated Incremental Learning
Rate-Distortion Theory in Coding for Machines and Its Applications
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation
Low-Shot Video Object Segmentation
Pushing the Limit of Post-Training Quantization
DIST+: Knowledge Distillation From a Stronger Adaptive Teacher
Reason and Discovery: A New Paradigm for Open Set Recognition
Generalizable Multi-Modal Adversarial Imitation Learning for Non-Stationary Dynamics
Revisiting Stochastic Multi-Level Compositional Optimization
HandRT: Simultaneous Hand Shape and Appearance Reconstruction With Pose Tracking From Monocular RGB-D Video
ED-Pose++: Enhanced Explicit Box Detection for Conventional and Interactive Multi-Object Keypoint Detection
Hard-Aware Instance Adaptive Self-Training for Unsupervised Cross-Domain Semantic Segmentation
Hulk: A Universal Knowledge Translator for Human-Centric Tasks
Impact of Noisy Supervision in Foundation Model Learning
Learning Efficient Deep Discriminative Spatial and Temporal Networks for Video Deblurring
Addressing Information Asymmetry: Deep Temporal Causality Discovery for Mixed Time Series
GDRNPP: A Geometry-Guided and Fully Learning-Based Object Pose Estimator
WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder
Generating Inverse Feature Space for Class Imbalance in Point Cloud Semantic Segmentation
Graph Prompt Clustering
ONNXPruner: ONNX-Based General Model Pruning Adapter
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization
Scalable High-Fidelity 3D Hand Shape Reconstruction via Graph-Image Frequency Mapping and Graph Frequency Decomposition
Cross-Modality Distillation for Multi-Modal Tracking
Aesthetics-Guided Low-Light Enhancement
Human as Points: Explicit Point-Based 3D Human Reconstruction From Single-View RGB Images