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

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-XXV Front Matter ....Pages 1-2 Deep Learning for Automated Tagging of Fashion Images (Patricia Gutierrez, Pierre-Antoine Sondag, Petar Butkovic, Mauro Lacy, Jordi Berges, Felipe Bertrand et al.)....Pages 3-11 Brand > Logo: Visual Analysis of Fashion Brands (M. Hadi Kiapour, Robinson Piramuthu)....Pages 12-20 Tiered Deep Similarity Search for Fashion (Dipu Manandhar, Muhammet Bastan, Kim-Hui Yap)....Pages 21-29 Deep Fashion Analysis with Feature Map Upsampling and Landmark-Driven Attention (Jingyuan Liu, Hong Lu)....Pages 30-36 DesIGN: Design Inspiration from Generative Networks (Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie)....Pages 37-44 FashionSearchNet: Fashion Search with Attribute Manipulation (Kenan E. Ak, Ashraf A. Kassim, Joo Hwee Lim, Jo Yew Tham)....Pages 45-53 CRAFT: Complementary Recommendation by Adversarial Feature Transform (Cong Phuoc Huynh, Arridhana Ciptadi, Ambrish Tyagi, Amit Agrawal)....Pages 54-66 Full-Body High-Resolution Anime Generation with Progressive Structure-Conditional Generative Adversarial Networks (Koichi Hamada, Kentaro Tachibana, Tianqi Li, Hiroto Honda, Yusuke Uchida)....Pages 67-74 Convolutional Photomosaic Generation via Multi-scale Perceptual Losses (Matthew Tesfaldet, Nariman Saftarli, Marcus A. Brubaker, Konstantinos G. Derpanis)....Pages 75-83 Front Matter ....Pages 85-87 Action Anticipation by Predicting Future Dynamic Images (Cristian Rodriguez, Basura Fernando, Hongdong Li)....Pages 89-105 Predicting Action Tubes (Gurkirt Singh, Suman Saha, Fabio Cuzzolin)....Pages 106-123 Forecasting Hands and Objects in Future Frames (Chenyou Fan, Jangwon Lee, Michael S. Ryoo)....Pages 124-137 RED: A Simple but Effective Baseline Predictor for the TrajNet Benchmark (Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens)....Pages 138-153 Joint Future Semantic and Instance Segmentation Prediction (Camille Couprie, Pauline Luc, Jakob Verbeek)....Pages 154-168 Context Graph Based Video Frame Prediction Using Locally Guided Objective (Prateep Bhattacharjee, Sukhendu Das)....Pages 169-185 Convolutional Neural Network for Trajectory Prediction (Nishant Nikhil, Brendan Tran Morris)....Pages 186-196 Action Alignment from Gaze Cues in Human-Human and Human-Robot Interaction (Nuno Ferreira Duarte, Mirko Raković, Jorge Marques, José Santos-Victor)....Pages 197-212 Group LSTM: Group Trajectory Prediction in Crowded Scenarios (Niccoló Bisagno, Bo Zhang, Nicola Conci)....Pages 213-225 Front Matter ....Pages 227-228 Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization (Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala)....Pages 229-245 Deep Normal Estimation for Automatic Shading of Hand-Drawn Characters (Matis Hudon, Mairéad Grogan, Rafael Pagés, Aljoša Smolić)....Pages 246-262 3D Surface Reconstruction by Pointillism (Olivia Wiles, Andrew Zisserman)....Pages 263-280 Detecting Parallel-Moving Objects in the Monocular Case Employing CNN Depth Maps (Nolang Fanani, Matthias Ochs, Rudolf Mester)....Pages 281-297 Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence (Jogendra Nath Kundu, M. V. Rahul, Aditya Ganeshan, R. Venkatesh Babu)....Pages 298-313 3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues (Wei Zeng, Theo Gevers)....Pages 314-330 Evaluation of CNN-Based Single-Image Depth Estimation Methods (Tobias Koch, Lukas Liebel, Friedrich Fraundorfer, Marco Körner)....Pages 331-348 A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes (Isaak Lim, Alexander Dielen, Marcel Campen, Leif Kobbelt)....Pages 349-362 Learning Structure-from-Motion from Motion (Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat)....Pages 363-376 Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis (Ruixuan Yu, Jian Sun, Huibin Li)....Pages 377-394 Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds (Francis Engelmann, Theodora Kontogianni, Jonas Schult, Bastian Leibe)....Pages 395-409 Deep Learning for Multi-path Error Removal in ToF Sensors (Gianluca Agresti, Pietro Zanuttigh)....Pages 410-426 PosIX-GAN: Generating Multiple Poses Using GAN for Pose-Invariant Face Recognition (Avishek Bhattacharjee, Samik Banerjee, Sukhendu Das)....Pages 427-443 Semi-supervised Semantic Matching (Zakaria Laskar, Juho Kannala)....Pages 444-455 Multi-kernel Diffusion CNNs for Graph-Based Learning on Point Clouds (Lasse Hansen, Jasper Diesel, Mattias P. Heinrich)....Pages 456-469 Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data (Alison Q. O’Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge et al.)....Pages 470-484 Deep Fundamental Matrix Estimation Without Correspondences (Omid Poursaeed, Guandao Yang, Aditya Prakash, Qiuren Fang, Hanqing Jiang, Bharath Hariharan et al.)....Pages 485-497 High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks (Ron Slossberg, Gil Shamai, Ron Kimmel)....Pages 498-513 Front Matter ....Pages 515-517 Recent Advances at the Brain-Driven Computer Vision Workshop 2018 (Simone Palazzo, Isaak Kavasidis, Dimitris Kastaniotis, Stavros Dimitriadis)....Pages 519-525 CapsuleGAN: Generative Adversarial Capsule Network (Ayush Jaiswal, Wael AbdAlmageed, Yue Wu, Premkumar Natarajan)....Pages 526-535 Navigational Affordance Cortical Responses Explained by Scene-Parsing Model (Kshitij Dwivedi, Gemma Roig)....Pages 536-545 A Context-Aware Capsule Network for Multi-label Classification (Sameera Ramasinghe, C. D. Athuraliya, Salman H. Khan)....Pages 546-554 Brain-Inspired Robust Delineation Operator (Nicola Strisciuglio, George Azzopardi, Nicolai Petkov)....Pages 555-565 Understanding Fake Faces (Ryota Natsume, Kazuki Inoue, Yoshihiro Fukuhara, Shintaro Yamamoto, Shigeo Morishima, Hirokatsu Kataoka)....Pages 566-576 Characterization of Visual Object Representations in Rat Primary Visual Cortex (Sebastiano Vascon, Ylenia Parin, Eis Annavini, Mattia D’Andola, Davide Zoccolan, Marcello Pelillo)....Pages 577-586 Learning Event Representations by Encoding the Temporal Context (Catarina Dias, Mariella Dimiccoli)....Pages 587-596 Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning (Angeliki Papadimitriou, Nikolaos Passalis, Anastasios Tefas)....Pages 597-606 EmoP3D: A Brain Like Pyramidal Deep Neural Network for Emotion Recognition (Emanuel Di Nardo, Alfredo Petrosino, Ihsan Ullah)....Pages 607-616 Subitizing with Variational Autoencoders (Rijnder Wever, Tom F. H. Runia)....Pages 617-627 Front Matter ....Pages 629-630 The Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion (Radim Tylecek, Torsten Sattler, Hoang-An Le, Thomas Brox, Marc Pollefeys, Robert B. Fisher et al.)....Pages 631-644 A Deeper Look at 3D Shape Classifiers (Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji)....Pages 645-661 3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image (Priyanka Mandikal, K. L. Navaneet, R. Venkatesh Babu)....Pages 662-674 Exploiting Multi-layer Features Using a CNN-RNN Approach for RGB-D Object Recognition (Ali Caglayan, Ahmet Burak Can)....Pages 675-688 Temporally Consistent Depth Estimation in Videos with Recurrent Architectures (Denis Tananaev, Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox)....Pages 689-701 End-to-End 6-DoF Object Pose Estimation Through Differentiable Rasterization (Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara)....Pages 702-715 YOLO3D: End-to-End Real-Time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (Waleed Ali, Sherif Abdelkarim, Mahmoud Zidan, Mohamed Zahran, Ahmad El Sallab)....Pages 716-728 Increasing the Robustness of CNN-Based Human Body Segmentation in Range Images by Modeling Sensor-Specific Artifacts (Lama Seoud, Jonathan Boisvert, Marc-Antoine Drouin, Michel Picard, Guy Godin)....Pages 729-743 Back Matter ....Pages 745-747