Object Detection, Tracking and Recognition
High-performance Discriminative Tracking with Target-aware Feature Embeddings.-3D Multi-Object Detection and Tracking with Sparse Stationary LiDAR
CRNet: Centroid Radiation Network for Temporal Action Localization
Weakly Supervised Temporal Action Localization with Segment-Level Labels
Locality-constrained collaborative representation with multi-resolution dictionary for face recognition
Fast and Fusion: Real-time Pedestrian Detector Boosted by Body-head Fusion
STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-Expression Recognition
Attentive Contrast Learning Network for Fine-grained Classification
Relation-Based Knowledge Distillation for Anomaly Detection
High Power-efficient and Performance-density FPGA Accelerator for CNN-based Object Detection
Relation-Guided Actor Attention for Group Activity Recognition
MVAD-Net: Learning View-Aware and Domain-Invariant Representation for Baggage Re-Identification
Joint Attention Mechanism for Unsupervised Video Object Segmentation.-Foreground Feature Selection and Alignment for Adaptive Object Detection
Exploring Category-shared and Category-specific Features for Fine-Grained Image Classification.-Deep Mixture of Adversarial Autoencoders Clustering Network
SA-InterNet: Scale-aware Interaction Network for Joint Crowd Counting and Localization
Conditioners for Adaptive Regression Tracking
Attention Template Update Model for Siamese Tracker
Insight on Attention Modules for Skeleton-Based Action Recognition
AO-AutoTrack: Anti-Occlusion Real-Time UAV Tracking Based on Spatio-temporal Context
Two-stage Recognition Algorithm for Untrimmed Converter Steelmaking Flame Video
Scale-aware Multi-branch Decoder for Salient Object Detection
Dense End Face Detection Network for Counting Bundled Steel Bars Based on Densely End Face Detection Network for Counting Bundled Steel Bars Based on YoloV5
POT: A Dataset of Panoramic Object Tracking
DP-YOLOv5:Computer Vision-Based Risk Behavior Detection in Power Grids.-Distillation-based Multi-Exit Fully Convolutional Network for Visual Tracking.-Handwriting Trajectory Reconstruction using Spatial-Temporal Encoder-Decoder Network
Scene Semantic Guidance for Object Detection
Training Person Re-Identification Networks with Transferred Images
ACFIM: Adaptively Cyclic Feature Information- interaction model for Object Detection
Research of robust video object tracking algorithm based on Jetson Nano embedded platform
Classification-IoU Joint Label Assignment For End-to-End Object Detection
Joint Learning Appearance and Motion Models for Visual Tracking
ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow
Local Mutual Metric Network for Few-Shot Image Classification
SimplePose V2: Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation
Control Variates for Similarity Search
Pyramid Self-Attention for Semantic Segmentation
Re-identify Deformable Targets for Visual Tracking
End-to-End Detection and Recognition of Arithmetic Expressions
FD-Net: A Fully Dilated Convolutional Network for Historical Document Image Binarization
Appearance-Motion Fusion Network for Video Anomaly Detection
Can DNN Detectors Compete against Human Vision in Object Detection Task?
Group Re-Identification Based on single feature attention learning network(SFALN)
Contrastive Cycle Consistency Learning for Unsupervised Visual Tracking
Group-Aware Disentangle Learning for Head Pose Estimation
Facilitating 3D Object Tracking in Point Clouds with Image Semantics and Geometry
Multi-Criteria Confidence Evaluation for Robust Visual Tracking.