Search Results - "Kaiqi Huang"
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1
A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios
Published in IEEE transactions on image processing (01-04-2019)“…Retrieving specific persons with various types of queries, e.g., a set of attributes or a portrait photo has great application potential in large-scale…”
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2
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-07-2017)“…Person re-identification (ReID) is an important task in wide area video surveillance which focuses on identifying people across different cameras. Recently,…”
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Conference Proceeding -
3
Deep Aesthetic Quality Assessment With Semantic Information
Published in IEEE transactions on image processing (01-03-2017)“…Human beings often assess the aesthetic quality of an image coupled with the identification of the image's semantic content. This paper addresses the…”
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4
A Study on Gait-Based Gender Classification
Published in IEEE transactions on image processing (01-08-2009)“…Gender is an important cue in social activities. In this correspondence, we present a study and analysis of gender classification based on human gait…”
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5
Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-07-2017)“…Person Re-identification (ReID) is to identify the same person across different cameras. It is a challenging task due to the large variations in person pose,…”
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Conference Proceeding -
6
Fast End-to-End Trainable Guided Filter
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01-06-2018)“…Image processing and pixel-wise dense prediction have been advanced by harnessing the capabilities of deep learning. One central issue of deep learning is the…”
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Conference Proceeding -
7
Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks
Published in IEEE transactions on image processing (01-03-2019)“…Edge detection has made significant progress with the help of deep convolutional networks (ConvNet). These ConvNet-based edge detectors have approached human…”
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8
Multi angle optimal pattern-based deep learning for automatic facial expression recognition
Published in Pattern recognition letters (01-11-2020)“…•Rectification of problems due to sudden illumination changes and proper alignment of feature set for an effective FER.•Isolation of foreground from the…”
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9
Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting
Published in IEEE transactions on pattern analysis and machine intelligence (01-02-2016)“…Localizing objects of interest in images when provided with only image-level labels is a challenging visual recognition task. Previous efforts have required…”
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10
Adversarially Occluded Samples for Person Re-identification
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01-06-2018)“…Person re-identification (ReID) is the task of retrieving particular persons across different cameras. Despite its great progress in recent years, it is still…”
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Conference Proceeding -
11
Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-07-2017)“…This paper focuses on indoor semantic segmentation using RGB-D data. Although the commonly used deconvolution networks (DeconvNet) have achieved impressive…”
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Conference Proceeding -
12
Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping
Published in IEEE transactions on image processing (01-10-2019)“…Image cropping aims at improving the quality of images by removing unwanted outer areas, which is widely used in the photography and printing industry. Most of…”
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13
Large scale crowd analysis based on convolutional neural network
Published in Pattern recognition (01-10-2015)“…Nowadays crowd surveillance is an active area of research. Crowd surveillance is always affected by various conditions, such as different scenes, weather, or…”
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14
Large-Scale Weakly Supervised Object Localization via Latent Category Learning
Published in IEEE transactions on image processing (01-04-2015)“…Localizing objects in cluttered backgrounds is challenging under large-scale weakly supervised conditions. Due to the cluttered image condition, objects…”
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15
Foreground Object Detection Using Top-Down Information Based on EM Framework
Published in IEEE transactions on image processing (01-09-2012)“…In this paper, we present a novel foreground object detection scheme that integrates the top-down information based on the expectation maximization (EM)…”
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16
Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles
Published in IEEE transactions on image processing (01-01-2012)“…We address the problem of model-based object recognition. Our aim is to localize and recognize road vehicles from monocular images or videos in calibrated…”
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17
How to use Bag-of-Words model better for image classification
Published in Image and vision computing (01-06-2015)“…The Bag-of-Words (BoW) framework is well-known in image classification. In the framework, there are two essential steps: 1) coding, which encodes local…”
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18
Deep Crisp Boundaries
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-07-2017)“…Edge detection had made significant progress with the help of deep Convolutional Networks (ConvNet). ConvNet based edge detectors approached human level…”
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Conference Proceeding -
19
ORGM: Occlusion Relational Graphical Model for Human Pose Estimation
Published in IEEE transactions on image processing (01-02-2017)“…Articulated human pose estimation from monocular image is a challenging problem in computer vision. Occlusion is a main challenge for human pose estimation,…”
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20
A Novel Algorithm for View and Illumination Invariant Image Matching
Published in IEEE transactions on image processing (01-01-2012)“…The challenges in local-feature-based image matching are variations of view and illumination. Many methods have been recently proposed to address these…”
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