Abstract is missing.
- Deep Learning for Assistive Computer VisionMarco Leo, Antonino Furnari, Gérard G. Medioni, Mohan M. Trivedi, Giovanni Maria Farinella. 3-14 [doi]
- Recovering 6D Object Pose: A Review and Multi-modal AnalysisCaner Sahin, Tae-Kyun Kim. 15-31 [doi]
- Computer Vision for Medical Infant Motion Analysis: State of the Art and RGB-D Data SetNikolas Hesse, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann, Raphael Weinberger, A. Sebastian Schroeder. 32-49 [doi]
- Vision Augmented Robot FeedingAlexandre Candeias, Travers Rhodes, Manuel Marques, João Paulo Costeira, Manuela Veloso. 50-65 [doi]
- Human-Computer Interaction Approaches for the Assessment and the Practice of the Cognitive Capabilities of Elderly PeopleManuela Chessa, Chiara Bassano, Elisa Gusai, Alice E. Martis, Fabio Solari. 66-81 [doi]
- Analysis of the Effect of Sensors for End-to-End Machine Learning OdometryCarlos Marquez Rodriguez-Peral, Dexmont Peña. 82-95 [doi]
- RAMCIP Robot: A Personal Robotic Assistant; Demonstration of a Complete FrameworkIoannis Kostavelis, Dimitrios Giakoumis, Georgia Peleka, Andreas Kargakos, Evangelos Skartados, Manolis Vasileiadis, Dimitrios Tzovaras. 96-111 [doi]
- An Empirical Study Towards Understanding How Deep Convolutional Nets Recognize FallsYan Zhang, Heiko Neumann. 112-127 [doi]
- ASSIST: Personalized Indoor Navigation via Multimodal Sensors and High-Level Semantic InformationVishnu Nair, Manjekar Budhai, Greg Olmschenk, William H. Seiple, Zhigang Zhu. 128-143 [doi]
- Comparing Methods for Assessment of Facial Dynamics in Patients with Major Neurocognitive DisordersYaohui Wang, Antitza Dantcheva, Jean-Claude Broutart, Philippe Robert, Francois Bremond, Piotr Tadeusz Bilinski. 144-157 [doi]
- Deep Execution Monitor for Robot Assistive TasksLorenzo Mauro, Edoardo Alati, Marta Sanzari, Valsamis Ntouskos, Gianluca Massimiani, Fiora Pirri. 158-175 [doi]
- Chasing Feet in the Wild: A Proposed Egocentric Motion-Aware Gait Assessment ToolMina Nouredanesh, Aaron W. Li, Alan Godfrey, Jesse Hoey, James Tung. 176-192 [doi]
- Inferring Human Knowledgeability from Eye Gaze in Mobile Learning EnvironmentsOya Çeliktutan, Yiannis Demiris. 193-209 [doi]
- Hand-Tremor Frequency Estimation in VideosSilvia L. Pintea, Jian Zheng, Xilin Li, Paulina J. M. Bank, Jacobus J. van Hilten, Jan C. van Gemert. 213-228 [doi]
- DrawInAir: A Lightweight Gestural Interface Based on Fingertip RegressionGaurav Garg, Srinidhi Hegde, Ramakrishna Perla, Varun Jain, Lovekesh Vig, Ramya Hebbalaguppe. 229-240 [doi]
- Adapting Egocentric Visual Hand Pose Estimation Towards a Robot-Controlled ExoskeletonGerald Baulig, Thomas Gulde, Cristóbal Curio. 241-256 [doi]
- Estimating 2D Multi-hand Poses from Single Depth ImagesLe Duan, Minmin Shen, Song Cui, Zhexiao Guo, Oliver Deussen. 257-272 [doi]
- Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture RecognitionJingxuan Hou, Guijin Wang, Xinghao Chen, Jing-Hao Xue, Rui Zhu 0006, Huazhong Yang. 273-286 [doi]
- Task-Oriented Hand Motion Retargeting for Dexterous Manipulation ImitationDafni Antotsiou, Guillermo Garcia-Hernando, Tae-Kyun Kim. 287-301 [doi]
- HANDS18: Methods, Techniques and Applications for Hand ObservationIason Oikonomidis, Guillermo Garcia-Hernando, Angela Yao, Antonis A. Argyros, Vincent Lepetit, Tae-Kyun Kim. 302-312 [doi]
- Automatic Classification of Low-Resolution Chromosomal ImagesSwati, Monika Sharma, Lovekesh Vig. 315-325 [doi]
- Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass GenerationJae-Hyeok Lee, Seong-Tae Kim, Hakmin Lee, Yong Man Ro. 326-334 [doi]
- Ordinal Regression with Neuron Stick-Breaking for Medical DiagnosisXiaofeng Liu, Yang Zou, Yuhang Song, Chao Yang, Jane You, B. V. K. Vijaya Kumar. 335-344 [doi]
- Multi-level Activation for Segmentation of Hierarchically-Nested ClassesMarie Piraud, Anjany Sekuboyina, Björn H. Menze. 345-353 [doi]
- Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep NetsToufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister. 354-364 [doi]
- 2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy TensorHaifa F. Alhasson, Shuaa S. Alharbi, Boguslaw Obara. 365-374 [doi]
- Improved Dictionary Learning with Enriched Information for Biomedical ImagesShengda Luo, Alex Po Leung. 375-384 [doi]
- Visual and Quantitative Comparison of Real and Simulated Biomedical Image DataTereza Necasová, David Svoboda. 385-394 [doi]
- Instance Segmentation of Neural CellsJingru Yi, Pengxiang Wu, Menglin Jiang, Daniel J. Hoeppner, Dimitris N. Metaxas. 395-402 [doi]
- Densely Connected Stacked U-network for Filament Segmentation in Microscopy ImagesYi Liu, Wayne Treible, Abhishek Kolagunda, Alex Nedo, Philip Saponaro, Jeffrey Caplan, Chandra Kambhamettu. 403-411 [doi]
- Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic ImagesSwati Bhugra, Deepak Mishra 0003, Anupama Anupama, Santanu Chaudhury, Brejesh Lall, Archana Chugh, Viswanathan Chinnusamy. 412-423 [doi]
- A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in HistopathologyMilos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Pushpak Pati, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis. 424-436 [doi]
- A Benchmark for Epithelial Cell TrackingJan Funke, Lisa Mais, Andrew Champion, Natalie Dye, Dagmar Kainmueller. 437-445 [doi]
- Automatic Fusion of Segmentation and Tracking LabelsCem Emre Akbas, Vladimír Ulman, Martin Maska, Florian Jug, Michal Kozubek. 446-454 [doi]
- Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural DynamicsAvelino Javer, André E. X. Brown, Iasonas Kokkinos, Jens Rittscher. 455-464 [doi]
- Towards Automated Multiscale Imaging and Analysis in TEM: Glomerulus Detection by Fusion of CNN and LBP MapsElisabeth Wetzer, Joakim Lindblad, Ida-Maria Sintorn, Kjell Hultenby, Natasa Sladoje. 465-475 [doi]
- Pre-training on Grayscale ImageNet Improves Medical Image ClassificationYiting Xie, David Richmond. 476-484 [doi]
- Workshop on Interactive and Adaptive Learning in an Open WorldAlexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrence E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner. 487-493 [doi]
- Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data GenerationFlorian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, Markus Enzweiler, David Pfeiffer, J. Marius Zöllner. 497-513 [doi]
- Learning to Learn from Web Data Through Deep Semantic EmbeddingsRaul Gomez, Lluís Gómez, Jaume Gibert, Dimosthenis Karatzas. 514-529 [doi]
- Learning from #Barcelona Instagram Data What Locals and Tourists Post About Its NeighbourhoodsRaul Gomez, Lluís Gómez, Jaume Gibert, Dimosthenis Karatzas. 530-544 [doi]
- A Structured Listwise Approach to Learning to Rank for Image TaggingJorge Sánchez, Franco Luque, Leandro Lichtensztein. 545-559 [doi]
- Visually Indicated Sound Generation by Perceptually Optimized ClassificationKan Chen, Chuanxi Zhang, Chen Fang, Zhaowen Wang, Trung Bui, Ram Nevatia. 560-574 [doi]
- CentralNet: A Multilayer Approach for Multimodal FusionValentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie. 575-589 [doi]
- Where and What Am I Eating? Image-Based Food Menu RecognitionMarc Bolaños, Marc Valdivia, Petia Radeva. 590-605 [doi]
- ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral DatasetVladimir V. Kniaz, Vladimir A. Knyaz, Jirí Hladuvka, Walter G. Kropatsch, Vladimir Mizginov. 606-624 [doi]
- Visual-Semantic Alignment Across Domains Using a Semi-Supervised ApproachAngelo Carraggi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara. 625-640 [doi]
- Generalized Bayesian Canonical Correlation Analysis with Missing ModalitiesToshihiko Matsuura, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada. 641-656 [doi]
- Unpaired Thermal to Visible Spectrum Transfer Using Adversarial TrainingAdam Nyberg, Abdelrahman Eldesokey, David Bergström, David Gustafsson. 657-669 [doi]
- Devon: Deformable Volume Network for Learning Optical FlowYao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr. 673-677 [doi]
- Using Phase Instead of Optical Flow for Action RecognitionOmar Hommos, Silvia L. Pintea, Pascal S. M. Mettes, Jan C. van Gemert. 678-691 [doi]
- Event Extraction Using Transportation of Temporal Optical Flow FieldsItaru Gotoh, Hiroki Hiraoka, Atsushi Imiya. 692-705 [doi]
- A Simple and Effective Fusion Approach for Multi-frame Optical Flow EstimationZhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang 0001, Erik B. Sudderth, Jan Kautz. 706-710 [doi]
- Unsupervised Event-Based Optical Flow Using Motion CompensationAlex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis. 711-714 [doi]
- MoA-Net: Self-supervised Motion SegmentationPia Bideau, Rakesh R. Menon, Erik G. Learned-Miller. 715-730 [doi]
- "What Is Optical Flow For?": Workshop Results and SummaryFatma Güney, Laura Sevilla-Lara, Deqing Sun, Jonas Wulff. 731-739 [doi]