Computer Vision – ACCV 2016 - Lecture Notes in Computer Science
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26

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Published By Springer International Publishing

9783319541839, 9783319541846

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Deep Second-Order Siamese Network for Pedestrian Re-identification

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54184-6_20 ◽

2017 ◽

pp. 321-337 ◽

Author(s):

Xuesong Deng ◽

Bingpeng Ma ◽

Hong Chang ◽

Shiguang Shan ◽

Xilin Chen

Keyword(s):

Second Order ◽

Siamese Network

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Model-Free Multiple Object Tracking with Shared Proposals

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54184-6_18 ◽

2017 ◽

pp. 288-304 ◽

Author(s):

Gao Zhu ◽

Fatih Porikli ◽

Hongdong Li

Keyword(s):

Object Tracking ◽

Multiple Object Tracking ◽

Multiple Object

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Human Interaction Recognition by Mining Discriminative Patches on Key Frames

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54184-6_22 ◽

2017 ◽

pp. 352-367

Author(s):

Dingyi Shan ◽

Laiyun Qing ◽

Jun Miao

Keyword(s):

Human Interaction ◽

Interaction Recognition ◽

Human Interaction Recognition

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Object-Aware Dictionary Learning with Deep Features

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54184-6_15 ◽

2017 ◽

pp. 237-253

Author(s):

Yurui Xie ◽

Fatih Porikli ◽

Xuming He

Keyword(s):

Dictionary Learning

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Cost-Sensitive Two-Stage Depression Prediction Using Dynamic Visual Clues

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54184-6_21 ◽

2017 ◽

pp. 338-351

Author(s):

Xingchen Ma ◽

Di Huang ◽

Yunhong Wang ◽

Yiding Wang

Keyword(s):

Two Stage ◽

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Stacked Overcomplete Independent Component Analysis for Action Recognition

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54184-6_23 ◽

2017 ◽

pp. 368-383

Author(s):

Zhikang Liu ◽

Ye Tian ◽

Zilei Wang

Keyword(s):

Independent Component Analysis ◽

Action Recognition ◽

Component Analysis ◽

Independent Component

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Continuous Supervised Descent Method for Facial Landmark Localisation

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54184-6_8 ◽

2017 ◽

pp. 121-135 ◽

Author(s):

Marc Oliu ◽

Ciprian Corneanu ◽

László A. Jeni ◽

Jeffrey F. Cohn ◽

Takeo Kanade ◽

...

Keyword(s):

Descent Method ◽

Facial Landmark ◽

Supervised Descent Method

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Efficient Model Averaging for Deep Neural Networks

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54184-6_13 ◽

2017 ◽

pp. 205-220 ◽

Author(s):

Michael Opitz ◽

Horst Possegger ◽

Horst Bischof

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Model Averaging

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Parametric Image Segmentation of Humans with Structural Shape Priors

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54184-6_5 ◽

2017 ◽

pp. 68-83

Author(s):

Alin-Ionut Popa ◽

Cristian Sminchisescu

Keyword(s):

Image Segmentation ◽

Shape Priors ◽

Parametric Image ◽

Structural Shape

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Markov Chain Monte Carlo Cascade for Camera Network Calibration Based on Unconstrained Pedestrian Tracklets

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54184-6_25 ◽

2017 ◽

pp. 400-415

Author(s):

Louis Lettry ◽

Ralf Dragon ◽

Luc Van Gool

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

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