Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery

IMC-Det: Intra-Inter Modality Contrastive Learning for Video Object Detection

Wavelet-domain feature decoupling for weakly supervised multi-object tracking

Unpaired Caricature-Visual Face Recognition via Feature Decomposition-Restoration-Decomposition

Transitive Vision-Language Prompt Learning for Domain Generalization

Dynamically Anchored Prompting for Task-Imbalanced Continual Learning

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion

Federated Learning with Extremely Noisy Clients via Negative Distillation

Combating Label Noise by Uncertainty-Aware Neighborhood Sample Selection

Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification

Explicit State Representation Guided Video-based Pedestrian Attribute Recognition

BI-DIRECTIONAL MOTION ATTENTION WITH CONTRASTIVE LEARNING FOR FEW-SHOT ACTION RECOGNITION

Second-Order Proximity Guided Sampling Consensus for Robust Model Fitting

Few-Shot Action Recognition via Multi-View Representation Learning

Multi-Stage Network With Geometric Semantic Attention for Two-View Correspondence Learning

Cross-Modal Contrastive Learning Network for Few-Shot Action Recognition

Robust Heterogeneous Model Fitting for Multi-source Image Correspondences

Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition

Relationship-Guided Knowledge Transfer for Class-Incremental Facial Expression Recognition

An Effective Visible-Infrared Person Re-identification Network Based on?Second-Order Attention and?Mixed Intermediate Modality

Cascaded-Scoring Tracklet Matching for Multi-object Tracking

An Effective Dynamic Reweighting Method for Unbiased Scene Graph Generation

Joint Relation Modeling and Feature Learning for Class-Incremental Facial Expression Recognition

DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data

Spatio-Temporal Self-supervision for Few-Shot Action Recognition

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Dual-Mode Learning for Multi-Dataset X-Ray Security Image Detection

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion

MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification

SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data

Efficient sampling using feature matching and variable minimal structure size

PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition

Robust Multiple-Structure Geometric Model Fitting by Preserving Neighborhood Consistency

Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation

PERSONALIZED FEDERATED LEARNING ON LONG-TAILED DATA VIA ADVERSARIAL FEATURE AUGMENTATION

MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification

Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

Federated Semi-Supervised Learning with Annotation Heterogeneity

Task-Aware Dual-Representation Network for Few-Shot Action Recognition

Orientation-Aware Pedestrian Attribute Recognition Based on Graph Convolution Network

TCNet: A Novel Triple-Cooperative Network for Video Object Detection

PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition

Class-Aware Dual-Supervised Aggregation Network for Video Object Detection

DGRNet: A Dual-Level Graph Relation Network for Video Object Detection

Multi-Motion Segmentation via Co-Attention-Induced Heterogeneous Model Fitting

Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation

A Dual-Path Transformer Network for Scene Text Detection

ERBNet: An Effective Representation Based Network for Unbiased Scene Graph Generation

Learning to Reconnect Interrupted Trajectories for Weakly Supervised Multi-Object Tracking

Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation

DQFORMER: Dynamic Query Transformer for Lane Detection

Label-Noise Learning with Intrinsically Long-Tailed Data

An End-to-End Scene Text Detector with Dynamic Attention

TRL: Transformer based refinement learning for hybrid-supervised semantic segmentation

DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection

Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection

Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition

When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework

Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes

When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework

Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples

FastVOD-Net: A Real-Time and High-Accuracy Video Object Detector

FEDIC: FEDERATED LEARNING ON NON-IID AND LONG-TAILED DATA VIA CALIBRATED DISTILLATION

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features

Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes

Robust optical flow estimation to enhance behavioral research on ants

Adaptive Deep Disturbance-Disentangled Learning for Facial Expression Recognition

Optical flow estimation via weighted guided filtering with non-local steering kernel

TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency

MULTI-FOCUS GUIDED SEMANTIC AGGREGATION FOR VIDEO OBJECT DETECTION

LEARNING CORRELATION FOR ONLINE MULTIPLE OBJECT TRACKING

BOUNDING BOX DISTRIBUTION LEARNING AND CENTER POINT CALIBRATION FOR ROBUST VISUAL TRACKING

Triplet Relationship Guided Sampling Consensus for Robust Model Estimation

A NEW FRAMEWORK FOR MULTIPLE DEEP CORRELATION FILTERS BASED OBJECT TRACKING

Dual Selection Network for Video Object Detection

Siamese Template Diffusion Networks for Robust Visual Tracking

FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation

Co-Clustering on Bipartite Graphs for Robust Model Fitting

Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition

DUALFEAT: DUAL FEATURE AGGREGATION FOR VIDEO OBJECT DETECTION

VISUAL TEMPO CONTRASTIVE LEARNING FOR FEW-SHOT ACTION RECOGNITION

GUIDED SAMPLING BASED FEATURE AGGREGATION FOR VIDEO OBJECT DETECTION

MDNET: MOTION DISTINCTION NETWORK FOR EFFECTIVE ACTION RECOGNITION

EGNET: A NOVEL EDGE GUIDED NETWORK FOR INSTANCE SEGMENTATION

SCINET: SEMANTIC CUE INFUSION NETWORK FOR LANE DETECTION

MSFL-Net: Multi-Semantic Feature Learning Network for Occluded Person Re-Identification

Embedding Adaptation Network with Transformer for Few-Shot Action Recognition

Multi-Stream Siamese and Faster Region-Based Neural Network for Real-Time Object Tracking

Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification

D3Net: Dual-Branch Disturbance Disentangling Network for Facial Expression Recognition

Semantic-Guided Relation Propagation Network for Few-shot Action Recognition

Hierarchical Representation Via Message Propagation for Robust Model Fitting

Deep Correlation Filter Tracking With Shepherded Instance-Aware Proposals

Robust optical flow estimation via edge preserving filtering

Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification

Robust Geometric Model Fitting Based on Nonnegative Matrix Underapproximation with Pruning Techniques for Multi-Structure Data

Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes

Learning intra-inter semantic aggregation for video object detection

Robust visual tracking via scale-aware localization and peak response strength

Single image super-resolution with multi-scale information cross-fusion network

Motion Consistency Guided Robust Geometric Model Fitting With Severe Outliers

Recurrent Context Aggregation Network for Single Image Dehazing

Segmentation by Continuous Latent Semantic Analysis for Multi-structure Model Fitting

Joint regularization and low-rank fusion for atmospheric turbulence removal

Small-Vote Sample Selection for Label-Noise Learning

Learning Spatial-Semantic Relationship for Facial Attribute Recognition with Limited Labeled Data

Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition

Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition

SAT: Single-Shot Adversarial Tracker

Dual Semantic Fusion Network for Video Object Detection

Deep Disturbance-Disentangled Learning for Facial Expression Recognition

Accelerated Guided Sampling for Multistructure Model Fitting

Correlation filter tracking with adaptive proposal selection for accurate scale estimation

A Preference-Statistic-Based Data Representation for Robust Geometric Model Fitting

Multi-scale Generative Adversarial Network for Person Re-identification under Occlusion

Efficient Robust Model Fitting for Multistructure Data Using Global Greedy Search

Low-resolution facial expression recognition: A filter learning perspective

Real-time high-performance semantic image segmentation of urban street scenes

Large margin deep embedding for aesthetic image classification

Learning Target-Specific Response Attention for Siamese Network Based Visual Tracking

Deep Multi-Task Multi-Label CNN for Effective Facial Attribute Classification

Robust visual tracking via spatio-temporal adaptive and channel selective correlation filters

Multi-Stage Feature Pyramid Stereo Network-Based Disparity Estimation Approach for Two to Three-Dimensional Video Conversion

End-to-end learning of object motion estimation from retinal events for event-based object tracking

Learning Object Scale With Click Supervision for Object Detection

Asynchronous tracking-by-detection on adaptive time surfaces for event-based object tracking

A Novel Projective-Consistent Plane Based Image Stitching Method

A Cascaded Noise-Robust Deep CNN for Face Recognition

Correlation filter tracking with adaptive proposal selection for accurate scale estimation

Single Image Defogging Based on Illumination Decomposition for Visual Maritime Surveillance

Simple Iterative Clustering on Graphs for Robust Model Fitting

DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking

A fast face detection method via convolutional neural network

Joint Deep Learning of Facial Expression Synthesis and Recognition

Hypergraph optimization for multi-structural geometric model fitting

Object-Adaptive LSTM Network for Visual Tracking

Multi-task Learning of Cascaded CNN for Facial Attribute Classification

Robust correlation filter tracking with shepherded instance-aware proposals

Multi-label learning based deep transfer neural network for facial attribute classification

Expression-targeted feature learning for effective facial expression recognition

Revisiting graph construction for fast image segmentation

Superpixel-Guided Two-View Deterministic Geometric Model Fitting

Object Discovery via Cohesion Measurement

An efficient deep neural networks training framework for robust face recognition

Weighted median-shift on graphs for geometric model fitting

Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting

Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression

Fast nearest neighbor search based on approximate k-NN graph

Adaptive correlation filter tracking with weighted foreground representation

A novel background subtraction method based on ViBe

Conceptual space based model fitting for multi-structure data

Robust geometric model fitting based on iterative Hypergraph Construction and Partition

Multiscale cascaded scene-specific convolutional neural networks for background subtraction

A two-step hypergraph reduction based fitting method for unbalanced data

Adaptive Appearance Modeling With Point-to-Set Metric Learning for Visual Tracking

Local Co-Occurrence Selection via Partial Least Squares for Pedestrian Detection

A unified hypothesis generation framework for multi-structure model fitting

Sparse similarity metric learning for kinship verification

Message passing on the two-layer network for geometric model fitting

A hierarchical voting scheme for robust geometric model fitting

Induced Subgraph Searching for Geometric Model Fitting

Evolution-based outlier removal for geometric model fitting

Hypergraph modelling for geometric model fitting

Visual saliency detection based on homology similarity and an experimental evaluation

Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression

Fast covariant VLAD for image search

A survey of background modeling based on robust subspace learning via sparse and low-rank matrix decomposition

STV2k: A new benchmark for scene text detection and recognition

A comparative study on features for similar image search

Adaptive metric learning with the low rank constraint

Discriminative Weighted Sparse Partial Least Squares for Human Detection

Rapid hypothesis generation by combining residual sorting with local constraints

Mode-seeking on hypergraphs for robust geometric model fitting

Superpixel-Based Two-View Deterministic Fitting for Multiple-Structure Data

Mode seeking on graphs for geometric model fitting via preference analysis

Scene character recognition using PCANet

Efficient guided hypothesis generation for multi-structure epipolar geometry estimation

Quadratic projection based feature extraction with its application to biometric recognition

Affine hull based target representation for visual tracking

Robust visual tracking by metric learning with weighted histogram representations

Learning hough regression models via bridge partial least squares for object detection

Scene character and text recognition: The state-of-the-art

An outlier removal method by statistically analyzing hypotheses for geometric model fitting

Hierarchical learning for large-scale image classification via CNN and maximum confidence path

Effective facial expression recognition via the boosted convolutional neural network

Text localization with hierarchical multiple feature learning

Recent advances on supervised distance metric learning algorithms

Multi-subregion based correlation filter bank for robust face recognition

Efficient semidefinite spectral clustering via lagrange duality

Evaluation of local features and classifiers in BOW model for image classification

Visual tracking via weakly supervised learning from multiple imperfect oracles

Stereo context for robust object tracking

Low rank metric learning via accelerated gradient optimization

Comparative study: Face recognition via the correlation filter technique

An effective unconstrained correlation filter and its kernelization for face recognition

ONLINE STRUCTURED HOUGH FORESTS FOR VISUAL TRACKING

ADAPTIVE SCALE BASED ENTROPY-LIKE ESTIMATOR FOR ROBUST FITTING

Background subtraction driven seeds selection for moving objects segmentation and matting

Weakly-supervised object localization in unlabeled image collection

Non-linear feature fusion based on polynomial correlation filter for face recognition

Robust head pose estimation with a new principal optimal tradeoff filter

Visual saliency detection via homology distribution and color contrast

A novel unconstrained correlation filter and its application in face recognition

AMSAC: An adaptive robust estimator for model fitting

Discriminative filter based regression learning for facial expression recognition

Incremental learning of 3D-DCT compact representations for robust visual tracking

Class-specified segmentation with multi-scale superpixels

Robust modular linear regression based classification for face recognition with occlusion

Visual tracking with spatio-temporal dempster-shafer information fusion

Robust object tracking in crowd dynamic scenes using explicit stereo depth

A System for Video-Based Navigation for Endoscopic Endonasal Skull Base Surgery

UBoost: Boosting with the universum

Simultaneously fitting and segmenting multiple-structure data with outliers

Robust visual tracking with the cross-bin metric

Occlusion handling with 1-regularized sparse reconstruction

Graph mode-based contextual kernels for robust SVM tracking

Research on license plate detection based on salient feature under complex background