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ORCID13. ACCV 2016: Taipei, Taiwan
- Shang-Hong Lai, Vincent Lepetit, Ko Nishino, Yoichi Sato:
Computer Vision - ACCV 2016 - 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part II. Lecture Notes in Computer Science 10112, 2017, ISBN 978-3-319-54183-9
People and Actions
- Wei Wang, Yan Yan, Liqiang Nie, Luming Zhang, Stefan Winkler, Nicu Sebe:
Sparse Code Filtering for Action Pattern Mining. 3-18 - Jiyang Gao, Ram Nevatia:
Learning Action Concept Trees and Semantic Alignment Networks from Image-Description Data. 19-34 - Zhiyi Cheng, Xiaoxiao Li, Chen Change Loy:
Pedestrian Color Naming via Convolutional Neural Network. 35-51 - Chi Xu, Yasushi Makihara, Xiang Li
, Yasushi Yagi, Jianfeng Lu:
Speed Invariance vs. Stability: Cross-Speed Gait Recognition Using Single-Support Gait Energy Image. 52-67 - Alin-Ionut Popa, Cristian Sminchisescu:
Parametric Image Segmentation of Humans with Structural Shape Priors. 68-83
Faces
- Joon Son Chung, Andrew Zisserman:
Lip Reading in the Wild. 87-103 - Wei Wang, Sergey Tulyakov, Nicu Sebe:
Recurrent Convolutional Face Alignment. 104-120 - Marc Oliu, Ciprian A. Corneanu, László A. Jeni, Jeffrey F. Cohn, Takeo Kanade, Sergio Escalera:
Continuous Supervised Descent Method for Facial Landmark Localisation. 121-135 - Deepali Aneja, Alex Colburn, Gary Faigin, Linda G. Shapiro, Barbara Mones:
Modeling Stylized Character Expressions via Deep Learning. 136-153 - Stefanos Eleftheriadis, Ognjen Rudovic, Marc Peter Deisenroth, Maja Pantic:
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units. 154-170 - Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic:
Multi-Instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation. 171-186
Deep Learning
- Sungheon Park, Nojun Kwak:
Analysis on the Dropout Effect in Convolutional Neural Networks. 189-204 - Michael Opitz, Horst Possegger, Horst Bischof:
Efficient Model Averaging for Deep Neural Networks. 205-220 - Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng, Bogdan Savchynskyy, Philip H. S. Torr, Carsten Rother:
Joint Training of Generic CNN-CRF Models with Stochastic Optimization. 221-236 - Yurui Xie, Fatih Porikli, Xuming He:
Object-Aware Dictionary Learning with Deep Features. 237-253
People Tracking and Action Recognition
- Xiang Li, Yasushi Makihara, Chi Xu, Daigo Muramatsu, Yasushi Yagi, Mingwu Ren:
Gait Energy Response Function for Clothing-Invariant Gait Recognition. 257-272 - Haomiao Ni, Hong Liu, Xiangdong Wang, Yueliang Qian:
Action Recognition Based on Optimal Joint Selection and Discriminative Depth Descriptor. 273-287 - Gao Zhu, Fatih Porikli, Hongdong Li:
Model-Free Multiple Object Tracking with Shared Proposals. 288-304 - Chunluan Zhou, Junsong Yuan:
Learning to Integrate Occlusion-Specific Detectors for Heavily Occluded Pedestrian Detection. 305-320 - Xuesong Deng, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen:
Deep Second-Order Siamese Network for Pedestrian Re-identification. 321-337 - Xingchen Ma, Di Huang, Yunhong Wang, Yiding Wang:
Cost-Sensitive Two-Stage Depression Prediction Using Dynamic Visual Clues. 338-351 - Dingyi Shan, Laiyun Qing, Jun Miao:
Human Interaction Recognition by Mining Discriminative Patches on Key Frames. 352-367 - Zhikang Liu, Ye Tian, Zilei Wang:
Stacked Overcomplete Independent Component Analysis for Action Recognition. 368-383 - Nannan Li, Dan Xu, Zhenqiang Ying, Zhihao Li, Ge Li:
Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking. 384-399 - Louis Lettry, Ralf Dragon, Luc Van Gool:
Markov Chain Monte Carlo Cascade for Camera Network Calibration Based on Unconstrained Pedestrian Tracklets. 400-415 - Yousong Zhu, Jinqiao Wang, Chaoyang Zhao, Haiyun Guo, Hanqing Lu:
Scale-Adaptive Deconvolutional Regression Network for Pedestrian Detection. 416-430
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