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15th ECCV Workshops 2018: Munich, Germany - Volume 2
- Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11130, Springer 2019, ISBN 978-3-030-11011-6
W07 - 2nd International Workshop on Computer Vision for UAVs
- Kristof Van Beeck, Tinne Tuytelaars, Davide Scarramuza, Toon Goedemé:
Real-Time Embedded Computer Vision on UAVs - UAVision2018 Workshop Summary. 3-10 - Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
:
Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation. 11-29 - Saurabh Kumar
Onboard Hyperspectral Image Compression Using Compressed Sensing and Deep Learning. 30-42 - Alina Marcu
SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data. 43-58 - Stefan Milz, Tobias Rüdiger, Sebastian Süss:
Aerial GANeration: Towards Realistic Data Augmentation Using Conditional GANs. 59-72 - Alexander Hardt-Stremayr
Metrics for Real-Time Mono-VSLAM Evaluation Including IMU Induced Drift with Application to UAV Flight. 73-87 - Seyed Majid Azimi
ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV Imagery. 88-99 - Hazal Lezki, Ahu Ozturk, M. Akif Akpinar, Mehmet Kerim Yucel, K. Berker Logoglu, Aykut Erdem
Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on Drones. 100-116 - Asanka G. Perera
UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition. 117-128 - Ashley Varghese, Jayavardhana Gubbi, Akshaya Ramaswamy, P. Balamuralidhar:
ChangeNet: A Deep Learning Architecture for Visual Change Detection. 129-145
W08 - 5th Transferring and Adapting Source Knowledge in Computer Vision and 2nd VisDA Challenge
- Eden Belouadah, Adrian Popescu:
DeeSIL: Deep-Shallow Incremental Learning. 151-157 - Sindi Shkodrani, Michael Hofmann, Efstratios Gavves:
Dynamic Adaptation on Non-stationary Visual Domains. 158-171 - Fengmao Lv
Domain Adaptive Semantic Segmentation Through Structure Enhancement. 172-179 - Massimiliano Mancini
Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks. 180-189 - Maxime Devanne, Sao Mai Nguyen
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical Limitations. 190-197 - Hongguang Zhang, Piotr Koniusz:
Model Selection for Generalized Zero-Shot Learning. 198-204
W09 - PoseTrack Challenge: Articulated People Tracking in the Wild
- Hengkai Guo, Tang Tang, Guozhong Luo, Riwei Chen, Yongchen Lu, Linfu Wen:
Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking. 209-216 - Hiroto Honda, Tomohiro Kato, Yusuke Uchida
Enhanced Two-Stage Multi-person Pose Estimation. 217-220 - Dongdong Yu, Kai Su, Jia Sun, Changhu Wang:
Multi-person Pose Estimation for Pose Tracking with Enhanced Cascaded Pyramid Network. 221-226 - Guanghan Ning
A Top-Down Approach to Articulated Human Pose Estimation and Tracking. 227-234
W10 - Workshop on Objectionable Content and Misinformation
- Bo Liu
Deep Fusion Network for Splicing Forgery Localization. 237-251 - Xiaodong Cun, Chi-Man Pun
Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random Fields. 252-266 - Olga Taran, Shideh Rezaeifar, Slava Voloshynovskiy
Bridging Machine Learning and Cryptography in Defence Against Adversarial Attacks. 267-279 - Alex Hanson
Bidirectional Convolutional LSTM for the Detection of Violence in Videos. 280-295 - Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold
Are You Tampering with My Data? 296-312 - Fabio Carrara
Adversarial Examples Detection in Features Distance Spaces. 313-327
W11 - 9th International Workshop on Human Behavior Understanding
- Giuseppe Boccignone
Give Ear to My Face: Modelling Multimodal Attention to Social Interactions. 331-345 - Ángel Martínez-González, Michael Villamizar, Olivier Canévet, Jean-Marc Odobez:
Investigating Depth Domain Adaptation for Efficient Human Pose Estimation. 346-363 - Nicolò Carissimi
Filling the Gaps: Predicting Missing Joints of Human Poses Using Denoising Autoencoders. 364-379 - Mohamed Ilyes Lakhal, Oswald Lanz
Pose Guided Human Image Synthesis by View Disentanglement and Enhanced Weighting Loss. 380-394 - Shuangjun Liu
A Semi-supervised Data Augmentation Approach Using 3D Graphical Engines. 395-408 - Patrick Esser, Johannes Haux, Timo Milbich, Björn Ommer:
Towards Learning a Realistic Rendering of Human Behavior. 409-425 - Yi Huang, Shang-Hong Lai
Human Action Recognition Based on Temporal Pose CNN and Multi-dimensional Fusion. 426-440 - Claudio Ferrari
Rendering Realistic Subject-Dependent Expression Images by Learning 3DMM Deformation Coefficients. 441-455 - Yu Yu, Gang Liu, Jean-Marc Odobez:
Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze Model. 456-474 - Dimitrios Kollias
Photorealistic Facial Synthesis in the Dimensional Affect Space. 475-491 - Simone Palazzo
Generating Synthetic Video Sequences by Explicitly Modeling Object Motion. 492-499 - Rodrigo Andrade de Bem
A Semi-supervised Deep Generative Model for Human Body Analysis. 500-517 - Shreya Ghosh
Role of Group Level Affect to Find the Most Influential Person in Images. 518-533 - Mohamed Ilyes Lakhal, Albert Clapés
Residual Stacked RNNs for Action Recognition. 534-548
W12 - 1st Person in Context Workshop and Challenge
- Víctor Ponce-López
Semantically Selective Augmentation for Deep Compact Person Re-Identification. 551-561 - Kensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Yutaka Satoh:
Recognizing People in Blind Spots Based on Surrounding Behavior. 562-570 - Hsuan-Kung Yang, An-Chieh Cheng, Kuan-Wei Ho, Tsu-Jui Fu, Chun-Yi Lee:
Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information. 571-581 - Fan Yu, Xin Tan, Tongwei Ren, Gangshan Wu:
Human-Centric Visual Relation Segmentation Using Mask R-CNN and VTransE. 582-589 - Tomoyuki Suzuki, Takahiro Itazuri, Kensho Hara, Hirokatsu Kataoka:
Learning Spatiotemporal 3D Convolution with Video Order Self-supervision. 590-598
W13 - 4th Workshop on Computer Vision for Art Analysis
- Matteo Tomei
What Was Monet Seeing While Painting? Translating Artworks to Photo-Realistic Images. 601-616 - Filippo Bergamasco
Saliency-Driven Variational Retargeting for Historical Maps. 617-630 - Matthia Sabatelli, Mike Kestemont, Walter Daelemans
Deep Transfer Learning for Art Classification Problems. 631-646 - Sabine Lang
Reflecting on How Artworks Are Processed and Analyzed by Computer Vision. 647-652 - Marijke Goeting
Seeing the World Through Machinic Eyes: Reflections on Computer Vision in the Arts. 653-670 - Francesca Di Cicco
A Digital Tool to Understand the Pictorial Procedures of 17th Century Realism. 671-675 - Noa Garcia, George Vogiatzis
How to Read Paintings: Semantic Art Understanding with Multi-modal Retrieval. 676-691 - Nicolas Gonthier
Weakly Supervised Object Detection in Artworks. 692-709 - Fabian Offert:
Images of Image Machines. Visual Interpretability in Computer Vision for Art. 710-715
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