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Chapter and Conference Paper
Rethinking the Distribution Gap of Person Re-identification with Camera-Based Batch Normalization
The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras. It strongly demands costly inter-camera annotations, yet the trained models are not g...
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Article
Crowd counting via learning perspective for multi-scale multi-view Web images
Estimating the number of people in Web images still remains a challenging problem owing to the perspective variation, different views, and diverse backgrounds. Existing deep learning models still have difficul...
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Chapter and Conference Paper
Cross-Resolution Person Re-identification with Deep Antithetical Learning
Images with different resolutions are ubiquitous in public person re-identification (ReID) datasets and real-world scenes, it is thus crucial for a person ReID model to handle the image resolution variations f...
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Chapter and Conference Paper
Bag Detection and Retrieval in Street Shots
In recent years, e-commerce has become an important way people shop. Among this, clothes and bags are extraordinarily important for customers. However, traditional online shop** modes only allow users to sea...
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Chapter and Conference Paper
A Two-Stage Approach for Bag Detection in Pedestrian Images
Bag detection in pedestrian images is a very practical visual surveillance problem. It is challenging because bag appearance may vary greatly. In this paper, we propose a novel two-stage approach for bag detec...
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Chapter and Conference Paper
Activity Group Localization by Modeling the Relations among Participants
Beyond recognizing the actions of individuals, activity group localization aims to determine ‘‘who participates in each group’’ and ‘‘what activity the group performs’’. In this paper, we propose a latent grap...
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Chapter and Conference Paper
Group Tracking: Exploring Mutual Relations for Multiple Object Tracking
In this paper, we propose to track multiple previously unseen objects in unconstrained scenes. Instead of considering objects individually, we model objects in mutual context with each other to benefit robust ...
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Chapter and Conference Paper
Human Pose Estimation Using Exemplars and Part Based Refinement
In this paper, we proposed a fast and accurate human pose estimation framework that combines top-down and bottom-up methods. The framework consists of an initialization stage and an iterative searching stage. ...
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Chapter and Conference Paper
A Compositional Exemplar-Based Model for Hair Segmentation
Hair is a very important part of human appearance. Robust and accurate hair segmentation is difficult because of challenging variation of hair color and shape. In this paper, we propose a novel Compositional E...
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Chapter and Conference Paper
Human Detection in Video over Large Viewpoint Changes
In this paper, we aim to detect human in video over large viewpoint changes which is very challenging due to the diversity of human appearance and motion from a wide spread of viewpoint domain compared with a ...
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Chapter and Conference Paper
A Structural Filter Approach to Human Detection
Occlusions and articulated poses make human detection much more difficult than common more rigid object detection like face or car. In this paper, a Structural Filter (SF) approach to human detection is presen...
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Chapter and Conference Paper
Face Gender Classification on Consumer Images in a Multiethnic Environment
In this paper, we target at face gender classification on consumer images in a multiethnic environment. The consumer images are much more challenging, since the faces captured in the real situation vary in pos...
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Chapter and Conference Paper
Multi-View Face Alignment Using 3D Shape Model for View Estimation
For multi-view face alignment (MVFA), the non-linear variation of shape and texture, and the self-occlusion of facial feature points caused by view change are the two major difficulties. The state-of-the-art M...
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Chapter and Conference Paper
Face Age Classification on Consumer Images with Gabor Feature and Fuzzy LDA Method
As we all know, face age estimation task is not only challenging for computer, but even hard for human in some cases, however, coarse age classification such as classifying human face as baby, child, adult or ...
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Chapter and Conference Paper
Tsinghua Face Detection and Tracking for CLEAR 2007 Evaluation
This paper presents the algorithm and evaluation results of a face detection and tracking system. A tree-structured multi-view face detector trained by Vector Boosting is used as the basic detection module. On...
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Chapter and Conference Paper
Building a Compact Relevant Sample Coverage for Relevance Feedback in Content-Based Image Retrieval
Conventional approaches to relevance feedback in content-based image retrieval are based on the assumption that relevant images are physically close to the query image, or the query regions can be identified b...
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Chapter and Conference Paper
Demographic Classification with Local Binary Patterns
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this paper, we present a novel method to use LBPH feature in ordinary binary classif...
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Chapter and Conference Paper
Multiview Pedestrian Detection Based on Vector Boosting
In this paper, a multiview pedestrian detection method based on Vector Boosting algorithm is presented. The Extended Histograms of Oriented Gradients (EHOG) features are formed via dominant orientations in whi...
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Chapter and Conference Paper
Robust Head Tracking with Particles Based on Multiple Cues Fusion
This paper presents a fully automatic and highly robust head tracking algorithm based on the latest advances in real-time multi-view face detection techniques and multiple cues fusion under particle filter fra...
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Chapter and Conference Paper
Robust Face Alignment Based on Hierarchical Classifier Network
Robust face alignment is crucial for many face processing applications. As face detection only gives a rough estimation of face region, one important problem is how to align facial shapes starting from this ro...
