Table of Contents

• Introduction to Large-Scale Visual Geo-localizationAmir Roshan Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski. 1-18 [doi]
• Deep Learning and Computer-Aided Diagnosis for Medical Image Processing: A Personal PerspectiveRonald M. Summers. 3-10 [doi]
• Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image AnalysisGustavo Carneiro, Yefeng Zheng, Fuyong Xing, Lin Yang. 11-32 [doi]
• Discovering Mid-level Visual Connections in Space and TimeYong Jae Lee, Alexei A. Efros, Martial Hebert. 21-40 [doi]
• Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View AggregationHolger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers. 35-48 [doi]
• Where the Photos Were Taken: Location Prediction by Learning from Flickr PhotosLi-Jia Li, Rahul Kumar Jha, Bart Thomee, David Ayman Shamma, Liangliang Cao, Yang Wang. 41-58 [doi]
• Robust Landmark Detection in Volumetric Data with Efficient 3D Deep LearningYefeng Zheng, David Liu, Bogdan Georgescu, Hien Nguyen, Dorin Comaniciu. 49-61 [doi]
• Cross-View Image Geo-localizationTsung-Yi Lin, Serge J. Belongie, James Hays. 59-76 [doi]
• A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent SetFujun Liu, Lin Yang. 63-72 [doi]
• Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on CancersJun Xu 0005, Chao Zhou, Bing Lang, Qingshan Liu. 73-95 [doi]
• Ultrawide Baseline Facade Matching for Geo-localizationMayank Bansal, Kostas Daniilidis, Harpreet S. Sawhney. 77-98 [doi]
• Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset LearningMingchen Gao, Ziyue Xu, Daniel J. Mollura. 97-111 [doi]
• Semantically Guided Geo-location and Modeling in Urban EnvironmentsGautam Singh, Jana Kosecká. 101-120 [doi]
• Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical ImagingHoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers. 113-136 [doi]
• Recognizing Landmarks in Large-Scale Social Image CollectionsDavid J. Crandall, Yunpeng Li, Stefan Lee, Daniel P. Huttenlocher. 121-144 [doi]
• Cell Detection with Deep Learning Accelerated by Sparse KernelJunZhou Huang, Zheng Xu 0005. 137-157 [doi]
• Worldwide Pose Estimation Using 3D Point CloudsYunpeng Li, Noah Snavely, Daniel P. Huttenlocher, Pascal Fua. 147-163 [doi]
• Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and RecognitionChristian F. Baumgartner, Ozan Oktay, Daniel Rueckert. 159-179 [doi]
• Exploiting Spatial and Co-visibility Relations for Image-Based LocalizationTorsten Sattler, Bastian Leibe, Leif Kobbelt. 165-187 [doi]
• On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical ImagingNima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang. 181-193 [doi]
• 3D Point Cloud Reduction Using Mixed-Integer Quadratic ProgrammingHyun Soo Park, Yu Wang, Eriko Nurvitadhi, James C. Hoe, Yaser Sheikh, Mei Chen. 189-203 [doi]
• Fully Automated Segmentation Using Distance Regularised Level Set and Deep-Structured Learning and InferenceTuan Anh Ngo, Gustavo Carneiro. 197-224 [doi]
• Image-Based Large-Scale Geo-localization in Mountainous RegionsOlivier Saurer, Georges Baatz, Kevin Köser, Lubor Ladicky, Marc Pollefeys. 205-223 [doi]
• Combining Deep Learning and Structured Prediction for Segmenting Masses in MammogramsNeeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley. 225-240 [doi]
• Adaptive Rendering for Large-Scale Skyline Characterization and MatchingJiejie Zhu, Mayank Bansal, Nick Vander Valk, Hui Cheng. 225-237 [doi]
• User-Aided Geo-location of Untagged Desert ImageryEric Tzeng, Andrew Zhai, Matthew Clements, Raphael Townshend, Avideh Zakhor. 239-254 [doi]
• Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image ContextYefeng Zheng, David Liu, Bogdan Georgescu, Daguang Xu, Dorin Comaniciu. 241-255 [doi]
• Visual Geo-localization of Non-photographic Depictions via 2D-3D AlignmentMathieu Aubry, Bryan Russell, Josef Sivic. 255-275 [doi]
• Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising AutoencodersHai Su, Fuyong Xing, Xiangfei Kong, Yuanpu Xie, Shaoting Zhang, Lin Yang. 257-278 [doi]
• A Memory Efficient Discriminative Approach for Location-Aided RecognitionSudipta N. Sinha, Varsha Hedau, C. Lawrence Zitnick, Richard Szeliski. 279-298 [doi]
• Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel LabelingAmal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers. 279-302 [doi]
• A Real-World System for Image/Video Geo-localizationHimaanshu Gupta, Yi Chen, Minwoo Park, Kiran Gunda, Gang Qian, Dave Conger, Khurram Shafique. 299-320 [doi]
• Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image DatabaseHoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers. 305-321 [doi]
• Photo Recall: Using the Internet to Label Your PhotosNeeraj Kumar, Steven M. Seitz. 321-348 [doi]