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ORCID15th ECCV Workshops 2018: Munich, Germany - Volume 6
- Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part VI. Lecture Notes in Computer Science 11134, Springer 2019, ISBN 978-3-030-11023-9
W31 - 6th International Workshop on Assistive Computer Vision and Robotics
- Marco Leo
, Antonino Furnari, Gérard G. Medioni, Mohan M. Trivedi, Giovanni Maria Farinella:
Deep Learning for Assistive Computer Vision. 3-14 - Caner Sahin, Tae-Kyun Kim:
Recovering 6D Object Pose: A Review and Multi-modal Analysis. 15-31 - Nikolas Hesse, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann, Raphael Weinberger, A. Sebastian Schroeder:
Computer Vision for Medical Infant Motion Analysis: State of the Art and RGB-D Data Set. 32-49 - Alexandre Candeias, Travers Rhodes, Manuel Marques, João Paulo Costeira, Manuela Veloso:
Vision Augmented Robot Feeding. 50-65 - Manuela Chessa, Chiara Bassano, Elisa Gusai, Alice E. Martis, Fabio Solari:
Human-Computer Interaction Approaches for the Assessment and the Practice of the Cognitive Capabilities of Elderly People. 66-81 - Carlos Marquez Rodriguez-Peral, Dexmont Peña:
Analysis of the Effect of Sensors for End-to-End Machine Learning Odometry. 82-95 - Ioannis Kostavelis, Dimitrios Giakoumis, Georgia Peleka, Andreas Kargakos, Evangelos Skartados, Manolis Vasileiadis, Dimitrios Tzovaras:
RAMCIP Robot: A Personal Robotic Assistant; Demonstration of a Complete Framework. 96-111 - Yan Zhang, Heiko Neumann:
An Empirical Study Towards Understanding How Deep Convolutional Nets Recognize Falls. 112-127 - Vishnu Nair, Manjekar Budhai, Greg Olmschenk, William H. Seiple, Zhigang Zhu:
ASSIST: Personalized Indoor Navigation via Multimodal Sensors and High-Level Semantic Information. 128-143 - Yaohui Wang, Antitza Dantcheva, Jean-Claude Broutart, Philippe Robert, François Brémond, Piotr Tadeusz Bilinski:
Comparing Methods for Assessment of Facial Dynamics in Patients with Major Neurocognitive Disorders. 144-157 - Lorenzo Mauro, Edoardo Alati, Marta Sanzari, Valsamis Ntouskos, Gianluca Massimiani, Fiora Pirri:
Deep Execution Monitor for Robot Assistive Tasks. 158-175 - Mina Nouredanesh, Aaron W. Li, Alan Godfrey, Jesse Hoey, James Tung:
Chasing Feet in the Wild: A Proposed Egocentric Motion-Aware Gait Assessment Tool. 176-192 - Oya Çeliktutan, Yiannis Demiris:
Inferring Human Knowledgeability from Eye Gaze in Mobile Learning Environments. 193-209
W32 - 4th International Workshop on Observing and Understanding Hands in Action
- Silvia L. Pintea, Jian Zheng, Xilin Li, Paulina J. M. Bank, Jacobus J. van Hilten, Jan C. van Gemert:
Hand-Tremor Frequency Estimation in Videos. 213-228 - Gaurav Garg, Srinidhi Hegde, Ramakrishna Perla, Varun Jain, Lovekesh Vig, Ramya Hebbalaguppe:
DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regression. 229-240 - Gerald Baulig, Thomas Gulde, Cristóbal Curio:
Adapting Egocentric Visual Hand Pose Estimation Towards a Robot-Controlled Exoskeleton. 241-256 - Le Duan, Minmin Shen, Song Cui, Zhexiao Guo, Oliver Deussen:
Estimating 2D Multi-hand Poses from Single Depth Images. 257-272 - Jingxuan Hou, Guijin Wang, Xinghao Chen, Jing-Hao Xue, Rui Zhu, Huazhong Yang:
Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition. 273-286 - Dafni Antotsiou, Guillermo Garcia-Hernando, Tae-Kyun Kim:
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation. 287-301 - Iason Oikonomidis, Guillermo Garcia-Hernando, Angela Yao, Antonis A. Argyros, Vincent Lepetit, Tae-Kyun Kim:
HANDS18: Methods, Techniques and Applications for Hand Observation. 302-312
W33 - Bioimage Computing
- Swati, Monika Sharma, Lovekesh Vig:
Automatic Classification of Low-Resolution Chromosomal Images. 315-325 - Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro:
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation. 326-334 - Xiaofeng Liu, Yang Zou, Yuhang Song, Chao Yang, Jane You, B. V. K. Vijaya Kumar:
Ordinal Regression with Neuron Stick-Breaking for Medical Diagnosis. 335-344 - Marie Piraud, Anjany Sekuboyina, Björn H. Menze:
Multi-level Activation for Segmentation of Hierarchically-Nested Classes. 345-353 - Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister:
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. 354-364 - Haifa F. Alhasson, Shuaa S. Alharbi, Boguslaw Obara:
2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor. 365-374 - Shengda Luo, Alex Po Leung:
Improved Dictionary Learning with Enriched Information for Biomedical Images. 375-384 - Tereza Necasová, David Svoboda:
Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data. 385-394 - Jingru Yi, Pengxiang Wu, Menglin Jiang, Daniel J. Hoeppner, Dimitris N. Metaxas:
Instance Segmentation of Neural Cells. 395-402 - Yi Liu, Wayne Treible, Abhishek Kolagunda, Alex Nedo, Philip Saponaro, Jeffrey Caplan, Chandra Kambhamettu:
Densely Connected Stacked U-network for Filament Segmentation in Microscopy Images. 403-411 - Swati Bhugra, Deepak Mishra, Anupama Anupama, Santanu Chaudhury, Brejesh Lall, Archana Chugh, Viswanathan Chinnusamy:
Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images. 412-423 - Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Pushpak Pati, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis:
A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology. 424-436 - Jan Funke, Lisa Mais, Andrew Champion, Natalie Dye, Dagmar Kainmueller:
A Benchmark for Epithelial Cell Tracking. 437-445 - Cem Emre Akbas, Vladimír Ulman, Martin Maska, Florian Jug, Michal Kozubek:
Automatic Fusion of Segmentation and Tracking Labels. 446-454 - Avelino Javer, André E. X. Brown, Iasonas Kokkinos, Jens Rittscher:
Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural Dynamics. 455-464 - Elisabeth Wetzer, Joakim Lindblad, Ida-Maria Sintorn, Kjell Hultenby, Natasa Sladoje:
Towards Automated Multiscale Imaging and Analysis in TEM: Glomerulus Detection by Fusion of CNN and LBP Maps. 465-475 - Yiting Xie, David Richmond:
Pre-training on Grayscale ImageNet Improves Medical Image Classification. 476-484
W34 - 1st Workshop on Interactive and Adaptive Learning in an Open World
- Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner:
Workshop on Interactive and Adaptive Learning in an Open World. 487-493
W35 - 1st Multimodal Learning and Applications Workshop
- Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, Markus Enzweiler, David Pfeiffer, J. Marius Zöllner:
Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation. 497-513 - Raul Gomez, Lluís Gómez, Jaume Gibert, Dimosthenis Karatzas:
Learning to Learn from Web Data Through Deep Semantic Embeddings. 514-529 - Raul Gomez, Lluís Gómez, Jaume Gibert, Dimosthenis Karatzas:
Learning from #Barcelona Instagram Data What Locals and Tourists Post About Its Neighbourhoods. 530-544 - Jorge Sánchez, Franco Luque, Leandro Lichtensztein:
A Structured Listwise Approach to Learning to Rank for Image Tagging. 545-559 - Kan Chen, Chuanxi Zhang, Chen Fang, Zhaowen Wang, Trung Bui, Ram Nevatia:
Visually Indicated Sound Generation by Perceptually Optimized Classification. 560-574 - Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie:
CentralNet: A Multilayer Approach for Multimodal Fusion. 575-589 - Marc Bolaños, Marc Valdivia, Petia Radeva:
Where and What Am I Eating? Image-Based Food Menu Recognition. 590-605 - Vladimir V. Kniaz, Vladimir A. Knyaz, Jirí Hladuvka, Walter G. Kropatsch, Vladimir Mizginov:
ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral Dataset. 606-624 - Angelo Carraggi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Visual-Semantic Alignment Across Domains Using a Semi-Supervised Approach. 625-640 - Toshihiko Matsuura, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada:
Generalized Bayesian Canonical Correlation Analysis with Missing Modalities. 641-656 - Adam Nyberg, Abdelrahman Eldesokey, David Bergström, David Gustafsson:
Unpaired Thermal to Visible Spectrum Transfer Using Adversarial Training. 657-669
W36 - What Is Optical Flow for?
- Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. 673-677 - Omar Hommos, Silvia L. Pintea, Pascal S. M. Mettes, Jan C. van Gemert:
Using Phase Instead of Optical Flow for Action Recognition. 678-691 - Itaru Gotoh, Hiroki Hiraoka, Atsushi Imiya:
Event Extraction Using Transportation of Temporal Optical Flow Fields. 692-705 - Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, Jan Kautz:
A Simple and Effective Fusion Approach for Multi-frame Optical Flow Estimation. 706-710 - Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis:
Unsupervised Event-Based Optical Flow Using Motion Compensation. 711-714 - Pia Bideau, Rakesh R. Menon, Erik G. Learned-Miller:
MoA-Net: Self-supervised Motion Segmentation. 715-730 - Fatma Güney, Laura Sevilla-Lara, Deqing Sun, Jonas Wulff:
"What Is Optical Flow For?": Workshop Results and Summary. 731-739
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