794 citations · 1.5k across the 20 of their papers we have counts for
20 papers
Real-time Online Multi-Object Tracking in Compressed Domain
Qiankun Liu, Bin Liu, Yue Wu +2
Recent online Multi-Object Tracking (MOT) methods have achieved desirable tracking performance. However, the tracking speed of most existing methods is rather slow. Inspired from t…
LineCounter: Learning Handwritten Text Line Segmentation by Counting
Deng Li, Yue Wu, Yicong Zhou
Handwritten Text Line Segmentation (HTLS) is a low-level but important task for many higher-level document processing tasks like handwritten text recognition. It is often formulate…
Cross-modality Person re-identification with Shared-Specific Feature Transfer
Yan Lu, Yue Wu, Bin Liu +4
Cross-modality person re-identification (cm-ReID) is a challenging but key technology for intelligent video analysis. Existing works mainly focus on learning common representation…
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai Chen, Jiaqi Wang, Jiangmiao Pang +22
We present MMDetection, an object detection toolbox that contains a rich set of object detection and instance segmentation methods as well as related components and modules. The to…
Large Scale Incremental Learning
Yue Wu, Yinpeng Chen, Lijuan Wang +4
Modern machine learning suffers from catastrophic forgetting when learning new classes incrementally. The performance dramatically degrades due to the missing data of old classes.…
Spatially Constrained GAN for Face and Fashion Synthesis
Songyao Jiang, Hongfu Liu, Yue Wu +1
Image generation has raised tremendous attention in both academic and industrial areas, especially for the conditional and target-oriented image generation, such as criminal portra…
Rethinking Classification and Localization for Object Detection
Yue Wu, Yinpeng Chen, Lu Yuan +4
Two head structures (i.e. fully connected head and convolution head) have been widely used in R-CNN based detectors for classification and localization tasks. However, there is a l…
Predictive Local Smoothness for Stochastic Gradient Methods
Jun Li, Hongfu Liu, Bineng Zhong +2
Stochastic gradient methods are dominant in nonconvex optimization especially for deep models but have low asymptotical convergence due to the fixed smoothness. To address this pro…
Facial Landmark Detection: a Literature Survey
Yue Wu, Qiang Ji
The locations of the fiducial facial landmark points around facial components and facial contour capture the rigid and non-rigid facial deformations due to head movements and facia…
Incremental Classifier Learning with Generative Adversarial Networks
Yue Wu, Yinpeng Chen, Lijuan Wang +5
In this paper, we address the incremental classifier learning problem, which suffers from catastrophic forgetting. The main reason for catastrophic forgetting is that the past data…
Clustering with Outlier Removal
Hongfu Liu, Jun Li, Yue Wu +1
Cluster analysis and outlier detection are strongly coupled tasks in data mining area. Cluster structure can be easily destroyed by few outliers; on the contrary, outliers are defi…
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation under Facial Occlusion
Yue Wu, Chao Gou, Qiang Ji
Facial landmark detection, head pose estimation, and facial deformation analysis are typical facial behavior analysis tasks in computer vision. The existing methods usually perform…
Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection
Yue Wu, Qiang Ji
Cascade regression framework has been shown to be effective for facial landmark detection. It starts from an initial face shape and gradually predicts the face shape update from th…
Constrained Deep Transfer Feature Learning and its Applications
Yue Wu, Qiang Ji
Feature learning with deep models has achieved impressive results for both data representation and classification for various vision tasks. Deep feature learning, however, typicall…
Robust Facial Landmark Detection under Significant Head Poses and Occlusion
Yue Wu, Qiang Ji
There have been tremendous improvements for facial landmark detection on general "in-the-wild" images. However, it is still challenging to detect the facial landmarks on images wit…
A Hierarchical Probabilistic Model for Facial Feature Detection
Yue Wu, Ziheng Wang, Qiang Ji
Facial feature detection from facial images has attracted great attention in the field of computer vision. It is a nontrivial task since the appearance and shape of the face tend t…
Facial Feature Tracking under Varying Facial Expressions and Face Poses based on Restricted Boltzmann Machines
Yue Wu, Zuoguan Wang, Qiang Ji
Facial feature tracking is an active area in computer vision due to its relevance to many applications. It is a nontrivial task, since faces may have varying facial expressions, po…
Convergence Analysis and Design of Multi-block ADMM via Switched Control Theory
Jun Li, Hongfu Liu, Yue Wu +1
We consider three challenges in multi-block Alternating Direction Method of Multipliers (ADMM): building convergence conditions for ADMM with any block (variable) sequence, finding…
Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks
Joseph P. Robinson, Ming Shao, Yue Wu +1
We present the largest kinship recognition dataset to date, Families in the Wild (FIW). Motivated by the lack of a single, unified dataset for kinship recognition, we aim to provid…
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks
Steven C. H. Hoi, Xiongwei Wu, Hantang Liu +4
Logo detection from images has many applications, particularly for brand recognition and intellectual property protection. Most existing studies for logo recognition and detection…