Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018, Proceedings, Part VI

Description

The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications. Front Matter ....Pages I-XXVI Front Matter ....Pages 1-2 Deep Learning for Assistive Computer Vision (Marco Leo, Antonino Furnari, Gerard G. Medioni, Mohan Trivedi, Giovanni M. Farinella)....Pages 3-14 Recovering 6D Object Pose: A Review and Multi-modal Analysis (Caner Sahin, Tae-Kyun Kim)....Pages 15-31 Computer Vision for Medical Infant Motion Analysis: State of the Art and RGB-D Data Set (Nikolas Hesse, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann, Raphael Weinberger, A. Sebastian Schroeder)....Pages 32-49 Vision Augmented Robot Feeding (Alexandre Candeias, Travers Rhodes, Manuel Marques, João P. Costeira, Manuela Veloso)....Pages 50-65 Human-Computer Interaction Approaches for the Assessment and the Practice of the Cognitive Capabilities of Elderly People (Manuela Chessa, Chiara Bassano, Elisa Gusai, Alice E. Martis, Fabio Solari)....Pages 66-81 Analysis of the Effect of Sensors for End-to-End Machine Learning Odometry (Carlos Marquez Rodriguez-Peral, Dexmont Peña)....Pages 82-95 RAMCIP Robot: A Personal Robotic Assistant; Demonstration of a Complete Framework (Ioannis Kostavelis, Dimitrios Giakoumis, Georgia Peleka, Andreas Kargakos, Evangelos Skartados, Manolis Vasileiadis et al.)....Pages 96-111 An Empirical Study Towards Understanding How Deep Convolutional Nets Recognize Falls (Yan Zhang, Heiko Neumann)....Pages 112-127 ASSIST: Personalized Indoor Navigation via Multimodal Sensors and High-Level Semantic Information (Vishnu Nair, Manjekar Budhai, Greg Olmschenk, William H. Seiple, Zhigang Zhu)....Pages 128-143 Comparing Methods for Assessment of Facial Dynamics in Patients with Major Neurocognitive Disorders (Yaohui Wang, Antitza Dantcheva, Jean-Claude Broutart, Philippe Robert, Francois Bremond, Piotr Bilinski)....Pages 144-157 Deep Execution Monitor for Robot Assistive Tasks (Lorenzo Mauro, Edoardo Alati, Marta Sanzari, Valsamis Ntouskos, Gianluca Massimiani, Fiora Pirri)....Pages 158-175 Chasing Feet in the Wild: A Proposed Egocentric Motion-Aware Gait Assessment Tool (Mina Nouredanesh, Aaron W. Li, Alan Godfrey, Jesse Hoey, James Tung)....Pages 176-192 Inferring Human Knowledgeability from Eye Gaze in Mobile Learning Environments (Oya Celiktutan, Yiannis Demiris)....Pages 193-209 Front Matter ....Pages 211-212 Hand-Tremor Frequency Estimation in Videos (Silvia L. Pintea, Jian Zheng, Xilin Li, Paulina J. M. Bank, Jacobus J. van Hilten, Jan C. van Gemert)....Pages 213-228 DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regression (Gaurav Garg, Srinidhi Hegde, Ramakrishna Perla, Varun Jain, Lovekesh Vig, Ramya Hebbalaguppe)....Pages 229-240 Adapting Egocentric Visual Hand Pose Estimation Towards a Robot-Controlled Exoskeleton (Gerald Baulig, Thomas Gulde, Cristóbal Curio)....Pages 241-256 Estimating 2D Multi-hand Poses from Single Depth Images (Le Duan, Minmin Shen, Song Cui, Zhexiao Guo, Oliver Deussen)....Pages 257-272 Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition (Jingxuan Hou, Guijin Wang, Xinghao Chen, Jing-Hao Xue, Rui Zhu, Huazhong Yang)....Pages 273-286 Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation (Dafni Antotsiou, Guillermo Garcia-Hernando, Tae-Kyun Kim)....Pages 287-301 HANDS18: Methods, Techniques and Applications for Hand Observation (Iason Oikonomidis, Guillermo Garcia-Hernando, Angela Yao, Antonis Argyros, Vincent Lepetit, Tae-Kyun Kim)....Pages 302-312 Front Matter ....Pages 313-314 Automatic Classification of Low-Resolution Chromosomal Images (Swati Swati, Monika Sharma, Lovekesh Vig)....Pages 315-325 Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation (Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro)....Pages 326-334 Ordinal Regression with Neuron Stick-Breaking for Medical Diagnosis (Xiaofeng Liu, Yang Zou, Yuhang Song, Chao Yang, Jane You, B. V. K. Vijaya Kumar)....Pages 335-344 Multi-level Activation for Segmentation of Hierarchically-Nested Classes (Marie Piraud, Anjany Sekuboyina, Björn H. Menze)....Pages 345-353 Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets (Toufiq Parag, Daniel Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter et al.)....Pages 354-364 2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor (Haifa F. Alhasson, Shuaa S. Alharbi, Boguslaw Obara)....Pages 365-374 Improved Dictionary Learning with Enriched Information for Biomedical Images (Shengda Luo, Alex Po Leung)....Pages 375-384 Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data (Tereza Nečasová, David Svoboda)....Pages 385-394 Instance Segmentation of Neural Cells (Jingru Yi, Pengxiang Wu, Menglin Jiang, Daniel J. Hoeppner, Dimitris N. Metaxas)....Pages 395-402 Densely Connected Stacked U-network for Filament Segmentation in Microscopy Images (Yi Liu, Wayne Treible, Abhishek Kolagunda, Alex Nedo, Philip Saponaro, Jeffrey Caplan et al.)....Pages 403-411 Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images (Swati Bhugra, Deepak Mishra, Anupama Anupama, Santanu Chaudhury, Brejesh Lall, Archana Chugh et al.)....Pages 412-423 A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology (Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Pushpak Pati, Jan Hendrik Rüschoff et al.)....Pages 424-436 A Benchmark for Epithelial Cell Tracking (Jan Funke, Lisa Mais, Andrew Champion, Natalie Dye, Dagmar Kainmueller)....Pages 437-445 Automatic Fusion of Segmentation and Tracking Labels (Cem Emre Akbaş, Vladimír Ulman, Martin Maška, Florian Jug, Michal Kozubek)....Pages 446-454 Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural Dynamics (Avelino Javer, André E. X. Brown, Iasonas Kokkinos, Jens Rittscher)....Pages 455-464 Towards Automated Multiscale Imaging and Analysis in TEM: Glomerulus Detection by Fusion of CNN and LBP Maps (Elisabeth Wetzer, Joakim Lindblad, Ida-Maria Sintorn, Kjell Hultenby, Nataša Sladoje)....Pages 465-475 Pre-training on Grayscale ImageNet Improves Medical Image Classification (Yiting Xie, David Richmond)....Pages 476-484 Front Matter ....Pages 485-486 Workshop on Interactive and Adaptive Learning in an Open World (Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrence Boult, Juergen Gall et al.)....Pages 487-493 Front Matter ....Pages 495-496 Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation (Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider et al.)....Pages 497-513 Learning to Learn from Web Data Through Deep Semantic Embeddings (Raul Gomez, Lluis Gomez, Jaume Gibert, Dimosthenis Karatzas)....Pages 514-529 Learning from #Barcelona Instagram Data What Locals and Tourists Post About Its Neighbourhoods (Raul Gomez, Lluis Gomez, Jaume Gibert, Dimosthenis Karatzas)....Pages 530-544 A Structured Listwise Approach to Learning to Rank for Image Tagging (Jorge Sánchez, Franco Luque, Leandro Lichtensztein)....Pages 545-559 Visually Indicated Sound Generation by Perceptually Optimized Classification (Kan Chen, Chuanxi Zhang, Chen Fang, Zhaowen Wang, Trung Bui, Ram Nevatia)....Pages 560-574 CentralNet: A Multilayer Approach for Multimodal Fusion (Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie)....Pages 575-589