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

Front Matter ....Pages I-XXV
Front Matter ....Pages 1-2
 Real-Time Embedded Computer Vision on UAVs  (Kristof Van Beeck, Tinne Tuytelaars, Davide Scarramuza, Toon Goedemé)....Pages 3-10
 Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation  (Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem)....Pages 11-29
 Onboard Hyperspectral Image Compression Using Compressed Sensing and Deep Learning  (Saurabh Kumar, Subhasis Chaudhuri, Biplab Banerjee, Feroz Ali)....Pages 30-42
 SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data  (Alina Marcu, Dragoş Costea, Vlad Licăreţ, Mihai Pîrvu, Emil Sluşanschi, Marius Leordeanu)....Pages 43-58
 Aerial GANeration: Towards Realistic Data Augmentation Using Conditional GANs  (Stefan Milz, Tobias Rüdiger, Sebastian Süss)....Pages 59-72
 Metrics for Real-Time Mono-VSLAM Evaluation Including IMU Induced Drift with Application to UAV Flight  (Alexander Hardt-Stremayr, Matthias Schörghuber, Stephan Weiss, Martin Humenberger)....Pages 73-87
 ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV Imagery  (Seyed Majid Azimi)....Pages 88-99
 Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on Drones  (Hazal Lezki, I. Ahu Ozturk, M. Akif Akpinar, M. Kerim Yucel, K. Berker Logoglu, Aykut Erdem et al.)....Pages 100-116
 UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition  (Asanka G. Perera, Yee Wei Law, Javaan Chahl)....Pages 117-128
 ChangeNet: A Deep Learning Architecture for Visual Change Detection  (Ashley Varghese, Jayavardhana Gubbi, Akshaya Ramaswamy, P. Balamuralidhar)....Pages 129-145
Front Matter ....Pages 147-149
 DeeSIL: Deep-Shallow Incremental Learning  (Eden Belouadah, Adrian Popescu)....Pages 151-157
 Dynamic Adaptation on Non-stationary Visual Domains  (Sindi Shkodrani, Michael Hofmann, Efstratios Gavves)....Pages 158-171
 Domain Adaptive Semantic Segmentation Through Structure Enhancement  (Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan)....Pages 172-179
 Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks  (Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Bulò)....Pages 180-189
 Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical Limitations  (Maxime Devanne, Sao Mai Nguyen)....Pages 190-197
 Model Selection for Generalized Zero-Shot Learning  (Hongguang Zhang, Piotr Koniusz)....Pages 198-204
Front Matter ....Pages 205-207
 Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking  (Hengkai Guo, Tang Tang, Guozhong Luo, Riwei Chen, Yongchen Lu, Linfu Wen)....Pages 209-216
 Enhanced Two-Stage Multi-person Pose Estimation  (Hiroto Honda, Tomohiro Kato, Yusuke Uchida)....Pages 217-220
 Multi-person Pose Estimation for Pose Tracking with Enhanced Cascaded Pyramid Network  (Dongdong Yu, Kai Su, Jia Sun, Changhu Wang)....Pages 221-226
 A Top-Down Approach to Articulated Human Pose Estimation and Tracking  (Guanghan Ning, Ping Liu, Xiaochuan Fan, Chi Zhang)....Pages 227-234
Front Matter ....Pages 235-236
 Deep Fusion Network for Splicing Forgery Localization  (Bo Liu, Chi-Man Pun)....Pages 237-251
 Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random Fields  (Xiaodong Cun, Chi-Man Pun)....Pages 252-266
 Bridging Machine Learning and Cryptography in Defence Against Adversarial Attacks  (Olga Taran, Shideh Rezaeifar, Slava Voloshynovskiy)....Pages 267-279
 Bidirectional Convolutional LSTM for the Detection of Violence in Videos  (Alex Hanson, Koutilya PNVR, Sanjukta Krishnagopal, Larry Davis)....Pages 280-295
 Are You Tampering with My Data?  (Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold et al.)....Pages 296-312
 Adversarial Examples Detection in Features Distance Spaces  (Fabio Carrara, Rudy Becarelli, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato)....Pages 313-327
Front Matter ....Pages 329-330
 Give Ear to My Face: Modelling Multimodal Attention to Social Interactions  (Giuseppe Boccignone, Vittorio Cuculo, Alessandro D’Amelio, Giuliano Grossi, Raffaella Lanzarotti)....Pages 331-345
 Investigating Depth Domain Adaptation for Efficient Human Pose Estimation  (Angel Martínez-González, Michael Villamizar, Olivier Canévet, Jean-Marc Odobez)....Pages 346-363
 Filling the Gaps: Predicting Missing Joints of Human Poses Using Denoising Autoencoders  (Nicolò Carissimi, Paolo Rota, Cigdem Beyan, Vittorio Murino)....Pages 364-379
 Pose Guided Human Image Synthesis by View Disentanglement and Enhanced Weighting Loss  (Mohamed Ilyes Lakhal, Oswald Lanz, Andrea Cavallaro)....Pages 380-394
 A Semi-supervised Data Augmentation Approach Using 3D Graphical Engines  (Shuangjun Liu, Sarah Ostadabbas)....Pages 395-408
 Towards Learning a Realistic Rendering of Human Behavior  (Patrick Esser, Johannes Haux, Timo Milbich, Björn Ommer)....Pages 409-425
 Human Action Recognition Based on Temporal Pose CNN and Multi-dimensional Fusion  (Yi Huang, Shang-Hong Lai, Shao-Heng Tai)....Pages 426-440
 Rendering Realistic Subject-Dependent Expression Images by Learning 3DMM Deformation Coefficients  (Claudio Ferrari, Stefano Berretti, Pietro Pala, Alberto Del Bimbo)....Pages 441-455
 Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze Model  (Yu Yu, Gang Liu, Jean-Marc Odobez)....Pages 456-474
 Photorealistic Facial Synthesis in the Dimensional Affect Space  (Dimitrios Kollias, Shiyang Cheng, Maja Pantic, Stefanos Zafeiriou)....Pages 475-491
 Generating Synthetic Video Sequences by Explicitly Modeling Object Motion  (S. Palazzo, C. Spampinato, P. D’Oro, D. Giordano, M. Shah)....Pages 492-499
 A Semi-supervised Deep Generative Model for Human Body Analysis  (Rodrigo de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip Torr)....Pages 500-517
 Role of Group Level Affect to Find the Most Influential Person in Images  (Shreya Ghosh, Abhinav Dhall)....Pages 518-533
 Residual Stacked RNNs for Action Recognition  (Mohamed Ilyes Lakhal, Albert Clapés, Sergio Escalera, Oswald Lanz, Andrea Cavallaro)....Pages 534-548
Front Matter ....Pages 549-550
 Semantically Selective Augmentation for Deep Compact Person Re-Identification  (Víctor Ponce-López, Tilo Burghardt, Sion Hannunna, Dima Damen, Alessandro Masullo, Majid Mirmehdi)....Pages 551-561
 Recognizing People in Blind Spots Based on Surrounding Behavior  (Kensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Yutaka Satoh)....Pages 562-570
 Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information  (Hsuan-Kung Yang, An-Chieh Cheng, Kuan-Wei Ho, Tsu-Jui Fu, Chun-Yi Lee)....Pages 571-581
 Human-Centric Visual Relation Segmentation Using Mask R-CNN and VTransE  (Fan Yu, Xin Tan, Tongwei Ren, Gangshan Wu)....Pages 582-589
 Learning Spatiotemporal 3D Convolution with Video Order Self-supervision  (Tomoyuki Suzuki, Takahiro Itazuri, Kensho Hara, Hirokatsu Kataoka)....Pages 590-598
Front Matter ....Pages 599-600
 What Was Monet Seeing While Painting? Translating Artworks to Photo-Realistic Images  (Matteo Tomei, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara)....Pages 601-616
 Saliency-Driven Variational Retargeting for Historical Maps  (Filippo Bergamasco, Arianna Traviglia, Andrea Torsello)....Pages 617-630
 Deep Transfer Learning for Art Classification Problems  (Matthia Sabatelli, Mike Kestemont, Walter Daelemans, Pierre Geurts)....Pages 631-646
 Reflecting on How Artworks Are Processed and Analyzed by Computer Vision  (Sabine Lang, Björn Ommer)....Pages 647-652
 Seeing the World Through Machinic Eyes: Reflections on Computer Vision in the Arts  (Marijke Goeting)....Pages 653-670
 A Digital Tool to Understand the Pictorial Procedures of 17\(^\mathrm{th}\) Century Realism  (Francesca Di Cicco, Lisa Wiersma, Maarten Wijntjes, Joris Dik, Jeroen Stumpel, Sylvia Pont)....Pages 671-675
 How to Read Paintings: Semantic Art Understanding with Multi-modal Retrieval  (Noa Garcia, George Vogiatzis)....Pages 676-691
 Weakly Supervised Object Detection in Artworks  (Nicolas Gonthier, Yann Gousseau, Said Ladjal, Olivier Bonfait)....Pages 692-709
 Images of Image Machines. Visual Interpretability in Computer Vision for Art  (Fabian Offert)....Pages 710-715
Back Matter ....Pages 717-719