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ORCID15th ECCV Workshops 2018: Munich, Germany - Volume 3
- Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11131, Springer 2019, ISBN 978-3-030-11014-7
W14 - First Workshop on Fashion, Art and Design
- Patricia Gutierrez, Pierre-Antoine Sondag, Petar Butkovic, Mauro Lacy, Jordi Berges, Felipe Bertrand, Arne Knudson:
Deep Learning for Automated Tagging of Fashion Images. 3-11 - M. Hadi Kiapour, Robinson Piramuthu:
Brand > Logo: Visual Analysis of Fashion Brands. 12-20 - Dipu Manandhar, Muhammet Bastan, Kim-Hui Yap
:
Tiered Deep Similarity Search for Fashion. 21-29 - Jingyuan Liu, Hong Lu:
Deep Fashion Analysis with Feature Map Upsampling and Landmark-Driven Attention. 30-36 - Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie:
DesIGN: Design Inspiration from Generative Networks. 37-44 - Kenan E. Ak, Ashraf A. Kassim, Joo-Hwee Lim, Jo Yew Tham:
FashionSearchNet: Fashion Search with Attribute Manipulation. 45-53 - Cong Phuoc Huynh, Arridhana Ciptadi, Ambrish Tyagi, Amit Agrawal:
CRAFT: Complementary Recommendation by Adversarial Feature Transform. 54-66 - Koichi Hamada, Kentaro Tachibana, Tianqi Li, Hiroto Honda, Yusuke Uchida:
Full-Body High-Resolution Anime Generation with Progressive Structure-Conditional Generative Adversarial Networks. 67-74 - Matthew Tesfaldet, Nariman Saftarli, Marcus A. Brubaker, Konstantinos G. Derpanis:
Convolutional Photomosaic Generation via Multi-scale Perceptual Losses. 75-83
W15 - Anticipating Human Behavior
- Cristian Rodriguez Opazo, Basura Fernando, Hongdong Li:
Action Anticipation by Predicting Future Dynamic Images. 89-105 - Gurkirt Singh, Suman Saha, Fabio Cuzzolin:
Predicting Action Tubes. 106-123 - Chenyou Fan, Jangwon Lee, Michael S. Ryoo:
Forecasting Hands and Objects in Future Frames. 124-137 - Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens:
RED: A Simple but Effective Baseline Predictor for the TrajNet Benchmark. 138-153 - Camille Couprie, Pauline Luc, Jakob Verbeek:
Joint Future Semantic and Instance Segmentation Prediction. 154-168 - Prateep Bhattacharjee, Sukhendu Das:
Context Graph Based Video Frame Prediction Using Locally Guided Objective. 169-185 - Nishant Nikhil, Brendan Tran Morris:
Convolutional Neural Network for Trajectory Prediction. 186-196 - Nuno Ferreira Duarte, Mirko Rakovic, Jorge S. Marques, José Santos-Victor:
Action Alignment from Gaze Cues in Human-Human and Human-Robot Interaction. 197-212 - Niccoló Bisagno, Bo Zhang, Nicola Conci:
Group LSTM: Group Trajectory Prediction in Crowded Scenarios. 213-225
W16 - 3rd Workshop on Geometry Meets Deep Learning
- Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala:
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. 229-245 - Matis Hudon, Mairéad Grogan, Rafael Pagés, Aljosa Smolic:
Deep Normal Estimation for Automatic Shading of Hand-Drawn Characters. 246-262 - Olivia Wiles, Andrew Zisserman:
3D Surface Reconstruction by Pointillism. 263-280 - Nolang Fanani, Matthias Ochs, Rudolf Mester:
Detecting Parallel-Moving Objects in the Monocular Case Employing CNN Depth Maps. 281-297 - Jogendra Nath Kundu, M. V. Rahul, Aditya Ganeshan, R. Venkatesh Babu:
Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence. 298-313 - Wei Zeng, Theo Gevers:
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues. 314-330 - Tobias Koch, Lukas Liebel, Friedrich Fraundorfer, Marco Körner:
Evaluation of CNN-Based Single-Image Depth Estimation Methods. 331-348 - Isaak Lim, Alexander Dielen, Marcel Campen, Leif Kobbelt:
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes. 349-362 - Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat:
Learning Structure-from-Motion from Motion. 363-376 - Ruixuan Yu, Jian Sun, Huibin Li:
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis. 377-394 - Francis Engelmann, Theodora Kontogianni, Jonas Schult, Bastian Leibe:
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds. 395-409 - Gianluca Agresti, Pietro Zanuttigh:
Deep Learning for Multi-path Error Removal in ToF Sensors. 410-426 - Avishek Bhattacharjee, Samik Banerjee, Sukhendu Das:
PosIX-GAN: Generating Multiple Poses Using GAN for Pose-Invariant Face Recognition. 427-443 - Zakaria Laskar, Juho Kannala:
Semi-supervised Semantic Matching. 444-455 - Lasse Hansen, Jasper Diesel, Mattias P. Heinrich:
Multi-kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. 456-469 - Alison Q. O'Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge, Lauren Clunie, Carrie Sansom, Evelina Seduikyte, Keith Muir, Ian Poole:
Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data. 470-484 - Omid Poursaeed, Guandao Yang, Aditya Prakash, Qiuren Fang, Hanqing Jiang, Bharath Hariharan, Serge J. Belongie:
Deep Fundamental Matrix Estimation Without Correspondences. 485-497 - Ron Slossberg, Gil Shamai, Ron Kimmel:
High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks. 498-513
W17 - 1st Workshop on Brain-Driven Computer Vision
- Simone Palazzo, Isaak Kavasidis, Dimitris Kastaniotis, Stavros I. Dimitriadis:
Recent Advances at the Brain-Driven Computer Vision Workshop 2018. 519-525 - Ayush Jaiswal, Wael AbdAlmageed, Yue Wu, Premkumar Natarajan:
CapsuleGAN: Generative Adversarial Capsule Network. 526-535 - Kshitij Dwivedi, Gemma Roig:
Navigational Affordance Cortical Responses Explained by Scene-Parsing Model. 536-545 - Sameera Ramasinghe, C. D. Athuraliya, Salman H. Khan:
A Context-Aware Capsule Network for Multi-label Classification. 546-554 - Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Brain-Inspired Robust Delineation Operator. 555-565 - Ryota Natsume, Kazuki Inoue, Yoshihiro Fukuhara, Shintaro Yamamoto, Shigeo Morishima, Hirokatsu Kataoka:
Understanding Fake Faces. 566-576 - Sebastiano Vascon, Ylenia Parin, Eis Annavini, Mattia D'Andola, Davide Zoccolan, Marcello Pelillo:
Characterization of Visual Object Representations in Rat Primary Visual Cortex. 577-586 - Catarina Dias, Mariella Dimiccoli:
Learning Event Representations by Encoding the Temporal Context. 587-596 - Angeliki Papadimitriou, Nikolaos Passalis, Anastasios Tefas:
Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning. 597-606 - Emanuel Di Nardo, Alfredo Petrosino, Ihsan Ullah:
EmoP3D: A Brain Like Pyramidal Deep Neural Network for Emotion Recognition. 607-616 - Rijnder Wever, Tom F. H. Runia:
Subitizing with Variational Autoencoders. 617-627
W18 - 3D Reconstruction Meets Semantics
- Radim Tylecek, Torsten Sattler, Hoang-An Le, Thomas Brox, Marc Pollefeys, Robert B. Fisher, Theo Gevers:
The Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion. 631-644 - Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji:
A Deeper Look at 3D Shape Classifiers. 645-661 - Priyanka Mandikal, Navaneet K. L., R. Venkatesh Babu:
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image. 662-674 - Ali Caglayan, Ahmet Burak Can:
Exploiting Multi-layer Features Using a CNN-RNN Approach for RGB-D Object Recognition. 675-688 - Denis Tananaev, Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox:
Temporally Consistent Depth Estimation in Videos with Recurrent Architectures. 689-701 - Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara:
End-to-End 6-DoF Object Pose Estimation Through Differentiable Rasterization. 702-715 - Waleed Ali, Sherif Abdelkarim, Mahmoud Zidan, Mohamed Zahran, Ahmad El Sallab:
YOLO3D: End-to-End Real-Time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud. 716-728 - Lama Seoud, Jonathan Boisvert, Marc-Antoine Drouin, Michel Picard, Guy Godin:
Increasing the Robustness of CNN-Based Human Body Segmentation in Range Images by Modeling Sensor-Specific Artifacts. 729-743
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