research
∙
06/23/2023
Towards Unseen Triples: Effective Text-Image-joint Learning for Scene Graph Generation
Scene Graph Generation (SGG) aims to structurally and comprehensively re...
share
research
∙
04/14/2023
PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition
Pedestrian attribute recognition (PAR) has received increasing attention...
research
∙
04/03/2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation
Deep neural networks have made huge progress in the last few decades. Ho...
research
∙
03/27/2023
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation
Personalized Federated Learning (PFL) aims to learn personalized models ...
research
∙
03/26/2023
MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification
Visible-infrared person re-identification (VI-ReID), which aims to searc...
research
∙
03/25/2023
Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
For the visible-infrared person re-identification (VIReID) task, one of ...
research
∙
03/04/2023
Federated Semi-Supervised Learning with Annotation Heterogeneity
Federated Semi-Supervised Learning (FSSL) aims to learn a global model f...
research
∙
08/21/2022
DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection
The prosperity of deep learning contributes to the rapid progress in sce...
research
∙
08/21/2022
Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection
Robust learning on noisy-labeled data has been an important task in real...
research
∙
07/16/2022
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
Most existing compound facial expression recognition (FER) methods rely ...
research
∙
04/30/2022
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation
Federated learning provides a privacy guarantee for generating good deep...
research
∙
04/28/2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
Federated learning (FL) provides a privacy-preserving solution for distr...
research
∙
03/08/2022
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes
Real-time semantic segmentation, which aims to achieve high segmentation...
research
∙
03/08/2022
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes
Over the past few years, deep convolutional neural network-based methods...
research
∙
01/18/2022
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Human emotions involve basic and compound facial expressions. However, c...
research
∙
10/25/2021
Event Data Association via Robust Model Fitting for Event-based Object Tracking
Event-based approaches, which are based on bio-inspired asynchronous eve...
research
∙
10/11/2021
TSG: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
The explanation for deep neural networks has drawn extensive attention i...
research
∙
04/12/2021
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition
In this paper, we propose a novel Feature Decomposition and Reconstructi...
research
∙
12/29/2020
Hierarchical Representation via Message Propagation for Robust Model Fitting
In this paper, we propose a novel hierarchical representation via messag...
research
∙
11/09/2020
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning
In recent years, Convolutional Neural Network (CNN) based trackers have ...
research
∙
09/16/2020
Dual Semantic Fusion Network for Video Object Detection
Video object detection is a tough task due to the deteriorated quality o...
research
∙
07/14/2020
Correlation filter tracking with adaptive proposal selection for accurate scale estimation
Recently, some correlation filter based trackers with detection proposal...
research
∙
02/20/2020
Learning Object Scale With Click Supervision for Object Detection
Weakly-supervised object detection has recently attracted increasing att...
research
∙
02/14/2020
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking
Event cameras, which are asynchronous bio-inspired vision sensors, have ...
research
∙
02/13/2020
Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking
Event cameras, which are asynchronous bio-inspired vision sensors, have ...
research
∙
02/13/2020
Hypergraph Optimization for Multi-structural Geometric Model Fitting
Recently, some hypergraph-based methods have been proposed to deal with ...
research
∙
02/10/2020
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification
Facial Attribute Classification (FAC) has attracted increasing attention...
research
∙
02/06/2020
Joint Deep Learning of Facial Expression Synthesis and Recognition
Recently, deep learning based facial expression recognition (FER) method...
research
∙
06/17/2019
Hallucinated Adversarial Learning for Robust Visual Tracking
Humans can easily learn new concepts from just a single exemplar, mainly...
research
∙
11/06/2018
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking
In recent years, Discriminative Correlation Filter (DCF) based tracking ...
research
∙
05/03/2018
Multi-task Learning of Cascaded CNN for Facial Attribute Classification
Recently, facial attribute classification (FAC) has attracted significan...
research
∙
05/03/2018
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification
Deep Neural Network (DNN) has recently achieved outstanding performance ...
research
∙
05/03/2018
Superpixel-guided Two-view Deterministic Geometric Model Fitting
Geometric model fitting is a fundamental research topic in computer visi...
research
∙
03/27/2018
A Fast Face Detection Method via Convolutional Neural Network
Current face or object detection methods via convolutional neural networ...
research
∙
03/27/2018
A New Target-specific Object Proposal Generation Method for Visual Tracking
Object proposal generation methods have been widely applied to many comp...
research
∙
02/24/2018
Single Image Super-Resolution via Cascaded Multi-Scale Cross Network
The deep convolutional neural networks have achieved significant improve...
research
∙
02/04/2018
Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting
In this paper, we propose a simple and effective geometric model fitting...
research
∙
12/25/2017
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression
Despite recent progress, computational visual aesthetic is still challen...
research
∙
07/11/2016
Hypergraph Modelling for Geometric Model Fitting
In this paper, we propose a novel hypergraph based method (called HF) to...
research
∙
03/26/2016
Learning Hough Regression Models via Bridge Partial Least Squares for Object Detection
Popular Hough Transform-based object detection approaches usually constr...
research
∙
03/25/2016
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting
In this paper, we propose a novel geometric model fitting method, called...
research
∙
03/25/2016
An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition
In this paper, an effective unconstrained correlation filter called Unco...
research
∙
03/25/2016
Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition
This paper presents a novel quadratic projection based feature extractio...
research
∙
03/24/2016
Multi-Subregion Based Correlation Filter Bank for Robust Face Recognition
In this paper, we propose an effective feature extraction algorithm, cal...
research
∙
12/29/2015
Robust Scene Text Recognition Using Sparse Coding based Features
In this paper, we propose an effective scene text recognition method usi...
research
∙
01/17/2014
Distortion-driven Turbulence Effect Removal using Variational Model
It remains a challenge to simultaneously remove geometric distortion and...
research
∙
07/14/2012
Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking
Visual tracking usually requires an object appearance model that is robu...
research
∙
05/15/2009
