Unsupervised Domain Adaptation on Person Reidentification Via Dual-Level Asymmetric Mutual Learning

CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection

Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation

HRSAM: Efficiently Segment Anything in High-Resolution Images

Local Manifold Learning for No-Reference Image Quality Assessment

HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection

Depth-Guided Semi-Supervised Instance Segmentation

Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text

UniPTS: A Unified Framework for Proficient Post-Training Sparsity

FocSAM: Delving Deeply into Focused Objects in Segmenting Anything

GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane

Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion

Cantor: Inspiring Multimodal Chain-of-Thought of MLLM

CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method

Multi-Modal Prompt Learning on Blind Image Quality Assessment

NeRF-DetS: Enhancing Multi-View 3D Object Detection with Sampling-adaptive Network of Continuous NeRF-based Representation

DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis

Occluded Person Re-identification via Saliency-Guided Patch Transfer

Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification

Weakly Supervised Open-Vocabulary Object Detection

DMAD: Dual Memory Bank for Real-World Anomaly Detection

ISTR: Mask-Embedding-Based Instance Segmentation Transformer

Adaptive Zone Learning for Weakly Supervised Object Localization

Few-Shot Object Detection via Classify-Free RPN

Global Selection and Local Attention Network for Referring Image Segmentation

Hierarchical Focused Feature Pyramid Network for Small Object Detection

Weakly Supervised Open-Vocabulary Object Detection

A Unified Framework for 3D Point Cloud Visual Grounding

Pseudo-label Alignment for Semi-supervised Instance Segmentation

Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations

Practical Cross-System Shilling Attacks with Limited Access to Data

InterFormer: Real-time Interactive Image Segmentation

Geometric-aware Pretraining for Vision-centric 3D Object Detection

You Only Segment Once: Towards Real-Time Panoptic Segmentation

Active Teacher for Semi-Supervised Object Detection

DistilPose: Tokenized Pose Regression with Heatmap Distillation

Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning

Bilateral Knowledge Interaction Network for Referring Image Segmentation

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training

CAM R-CNN: End-to-End Object Detection with Class Activation Maps

You Only Segment Once: Towards Real-Time Panoptic Segmentation

Beyond the Label Distribution Prior for Long-Tailed Recognition

DistilPose: Tokenized Pose Regression with Heatmap Distillation

Category-aware Allocation Transformer for Weakly Supervised Object Localization

InterFormer Real-time Interactive Image Segmentation

Pseudo-label Alignment for Semi-supervised Instance Segmentation

Self-Paced Partial Domain-Aware Learning for Face Anti-Spoofing

CANDY: Category-Kernelized Dynamic Convolution for Instance Segmentation

Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability

Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability

LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization

GuidedMix-Net: Semi-Supervised Semantic Segmentation by Using Labeled Images as Reference

Deepwalk-aware graph convolutional networks

Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks

Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint

SeqTR: A Simple yet Universal Network for Visual Grounding

ARM: Any-Time Super-Resolution Method

Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters

Multi-Branch Distance-Sensitive Self-Attention Network for Image Captioning

Towards Lightweight Transformer Via Group-Wise Transformation for Vision-and-Language Tasks

Active Teacher for Semi-Supervised Object Detection

SeqTR: A Simple Yet Universal Network for Visual Grounding

Knowledge Condensation Distillation

Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain

ARM: Any-Time Super-Resolution Method

Dual-Level Collaborative Transformer for Image Captioning

Architecture Disentanglement for Deep Neural Networks

EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS

Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance

Filter Sketch for Network Pruning

Knowledge-Driven Generative Adversarial Network for Text-to-Image Synthesis

Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation

Image-to-image Translation via Hierarchical Style Disentanglement

SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance

Exploring Language Prior for Mode-Sensitive Visual Attention Modeling

Link-aware semi-supervised hypergraph

Multi-task collaborative network for joint referring expression comprehension and segmentation

Cyclic guidance for weakly supervised joint detection and segmentation

Towards optimal structured CNN pruning via generative adversarial learning

Learning Similarity-specific Dictionary for Zero-shot Fine-grained Recognition

Towards Cross-modality Topic Modelling via Deep Topical Correlation Analysis

Hypergraph induced convolutional manifold networks

Generalized zero-shot vehicle detection in remote sensing imagery via coarse-to-fine framework

Many-to-One Gesture-to-Command Flexible Mapping Approach for Smart Teaching Interface Interaction

Cross-Modality Microblog Sentiment Prediction via Bi-Layer Multimodal Hypergraph Learning

Toward Optimal Manifold Hashing via Discrete Locally Linear Embedding

Multimodal media data understanding and analysis

Editorial Note: Multimodal Data Fusion, Learning and Applications

Weakly supervised vehicle detection in satellite images via multi-instance discriminative learning

Superpixel-based coastline extraction in SAR images with speckle noise removal

Joint Depth and Semantic Inference from a Single Image via Elastic Conditional Random Field

Vehicle Detection in High-Resolution Aerial Images Based on Fast Sparse Representation Classification and Multiorder Feature

Road Network Extraction via Aperiodic Directional Structure Measurement

A novel features ranking metric with application to scalable visual and bioinformatics data classification

Vehicle Detection in High-Resolution Aerial Images via Sparse Representation and Superpixels

Convolutional Deep Belief Networks for Single-Cell/Object Tracking in Computational Biology and Computer Vision

Semi-supervised feature learning for hyperspectral image classification

Vehicle detection from high-resolution aerial images based on superpixel and color name features

Robust Individual-Cell/Object Tracking via PCANet Deep Network in Biomedicine and Computer Vision

Deep neural networks-based vehicle detection in satellite images

Person re-identification based on multi-instance multi-label learning

Hypergraph regularized sparse feature learning

Interactive on-device Mobile Landmark Recognition with compact binary codes

Robust depth-based object tracking from a moving binocular camera

Localizing web videos using social images

Multimodal learning for view-based 3D object classification

Estimation of human body shape and cloth field in front of a kinect

Human behavior recognition based on 3D features and hidden markov models

Robust vehicle detection by combining deep features with exemplar classification

Question microblog identification and answer recommendation

Single/cross-camera multiple-person tracking by graph matching

Vehicle detection from highway satellite images via transfer learning

Question Popularity Analysis and Prediction in Community Question Answering Services

Shape completion for depth image via repeated objects registration

Robust latent semantic exploration for image retrieval in social media

A Topic Clustering Approach to Finding Similar Questions from Large Question and Answer Archives

News videos anchor person detection by shot clustering

High-capacity reversible watermarking scheme of 2D-vector data