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ORCIDComputer Vision and Image Understanding, Volume 156
Volume 156, March 2017
- Vittorio Murino
, Shaogang Gong, Chen Change Loy, Loris Bazzani:
Image and Video Understanding in Big Data. 1-3 - Modesto Castrillón Santana, Maria De Marsico, Michele Nappi, Daniel Riccio:
MEG: Texture operators for multi-expert gender classification. 4-18 - Liliana Lo Presti, Marco La Cascia:
Boosting Hankel matrices for face emotion recognition and pain detection. 19-33 - Cristina Segalin, Dong Seon Cheng, Marco Cristani:
Social profiling through image understanding: Personality inference using convolutional neural networks. 34-50 - Sakrapee Paisitkriangkrai, Lin Wu, Chunhua Shen, Anton van den Hengel:
Structured learning of metric ensembles with application to person re-identification. 51-65 - Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury:
Continuous adaptation of multi-camera person identification models through sparse non-redundant representative selection. 66-78 - Alexander Richard, Juergen Gall:
A bag-of-words equivalent recurrent neural network for action recognition. 79-91 - Gonzalo Vaca-Castano, Samarjit Das, Joao P. Sousa, Niels da Vitoria Lobo, Mubarak Shah:
Improved scene identification and object detection on egocentric vision of daily activities. 92-103 - Jie Qin, Li Liu, Mengyang Yu, Yunhong Wang, Ling Shao:
Fast action retrieval from videos via feature disaggregation. 104-116 - Dan Xu, Yan Yan, Elisa Ricci, Nicu Sebe:
Detecting anomalous events in videos by learning deep representations of appearance and motion. 117-127 - Mohsen Malmir, Karan Sikka, Deborah Forster, Ian R. Fasel, Javier R. Movellan, Garrison W. Cottrell:
Deep active object recognition by joint label and action prediction. 128-137 - Abhilash Srikantha, Juergen Gall:
Weak supervision for detecting object classes from activities. 138-150 - Tien-Dung Mai, Thanh Duc Ngo, Duy-Dinh Le, Duc Anh Duong, Kiem Hoang, Shin'ichi Satoh:
Efficient large-scale multi-class image classification by learning balanced trees. 151-161 - Fatih Çakir, Sarah Adel Bargal, Stan Sclaroff:
Online supervised hashing. 162-173 - Ilja Kuzborskij, Francesco Orabona, Barbara Caputo:
Scalable greedy algorithms for transfer learning. 174-185
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