Abstract is missing.
- Real-Time Embedded Computer Vision on UAVs - UAVision2018 Workshop SummaryKristof Van Beeck, Tinne Tuytelaars, Davide Scarramuza, Toon Goedemé. 3-10 [doi]
- Teaching UAVs to Race: End-to-End Regression of Agile Controls in SimulationMatthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem. 11-29 [doi]
- Onboard Hyperspectral Image Compression Using Compressed Sensing and Deep LearningSaurabh Kumar, Subhasis Chaudhuri, Biplab Banerjee, T. M. Feroz Ali. 30-42 [doi]
- SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic DataAlina Marcu, Dragos Costea, Vlad Licaret, Mihai Pîrvu, Emil Slusanschi, Marius Leordeanu. 43-58 [doi]
- Aerial GANeration: Towards Realistic Data Augmentation Using Conditional GANsStefan Milz, Tobias Rüdiger, Sebastian Süss. 59-72 [doi]
- Metrics for Real-Time Mono-VSLAM Evaluation Including IMU Induced Drift with Application to UAV FlightAlexander Hardt-Stremayr, Matthias Schörghuber, Stephan Weiss, Martin Humenberger. 73-87 [doi]
- ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV ImagerySeyed Majid Azimi. 88-99 [doi]
- Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on DronesHazal Lezki, Ahu Ozturk, M. Akif Akpinar, M. Kerim Yucel, K. Berker Logoglu, Aykut Erdem, Erkut Erdem. 100-116 [doi]
- UAV-GESTURE: A Dataset for UAV Control and Gesture RecognitionAsanka G. Perera, Yee Wei Law, Javaan Singh Chahl. 117-128 [doi]
- ChangeNet: A Deep Learning Architecture for Visual Change DetectionAshley Varghese, Jayavardhana Gubbi, Akshaya Ramaswamy, P. Balamuralidhar. 129-145 [doi]
- DeeSIL: Deep-Shallow Incremental LearningEden Belouadah, Adrian Popescu. 151-157 [doi]
- Dynamic Adaptation on Non-stationary Visual DomainsSindi Shkodrani, Michael Hofmann, Efstratios Gavves. 158-171 [doi]
- Domain Adaptive Semantic Segmentation Through Structure EnhancementFengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan. 172-179 [doi]
- Adding New Tasks to a Single Network with Weight Transformations Using Binary MasksMassimiliano Mancini, Elisa Ricci 0001, Barbara Caputo, Samuel Rota Bulò. 180-189 [doi]
- Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical LimitationsMaxime Devanne, Sao Mai Nguyen. 190-197 [doi]
- Model Selection for Generalized Zero-Shot LearningHongguang Zhang, Piotr Koniusz. 198-204 [doi]
- Multi-Domain Pose Network for Multi-Person Pose Estimation and TrackingHengkai Guo, Tang Tang, Guozhong Luo, Riwei Chen, Yongchen Lu, Linfu Wen. 209-216 [doi]
- Enhanced Two-Stage Multi-person Pose EstimationHiroto Honda, Tomohiro Kato, Yusuke Uchida. 217-220 [doi]
- Multi-person Pose Estimation for Pose Tracking with Enhanced Cascaded Pyramid NetworkDongdong Yu, Kai Su, Jia Sun, Changhu Wang. 221-226 [doi]
- A Top-Down Approach to Articulated Human Pose Estimation and TrackingGuanghan Ning, Ping Liu, Xiaochuan Fan, Chi Zhang. 227-234 [doi]
- Deep Fusion Network for Splicing Forgery LocalizationBo Liu, Chi-Man Pun. 237-251 [doi]
- Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random FieldsXiaodong Cun, Chi-Man Pun. 252-266 [doi]
- Bridging Machine Learning and Cryptography in Defence Against Adversarial AttacksOlga Taran, Shideh Rezaeifar, Slava Voloshynovskiy. 267-279 [doi]
- Bidirectional Convolutional LSTM for the Detection of Violence in VideosAlex Hanson, Koutilya PNVR, Sanjukta Krishnagopal, Larry Davis. 280-295 [doi]
- Are You Tampering with My Data?Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki. 296-312 [doi]
- Adversarial Examples Detection in Features Distance SpacesFabio Carrara, Rudy Becarelli, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato. 313-327 [doi]
- Give Ear to My Face: Modelling Multimodal Attention to Social InteractionsGiuseppe Boccignone, Vittorio Cuculo, Alessandro D'Amelio, Giuliano Grossi, Raffaella Lanzarotti. 331-345 [doi]
- Investigating Depth Domain Adaptation for Efficient Human Pose EstimationÁngel Martínez-González, Michael Villamizar, Olivier Canévet, Jean-Marc Odobez. 346-363 [doi]
- Filling the Gaps: Predicting Missing Joints of Human Poses Using Denoising AutoencodersNicolò Carissimi, Paolo Rota, Cigdem Beyan, Vittorio Murino. 364-379 [doi]
- Pose Guided Human Image Synthesis by View Disentanglement and Enhanced Weighting LossMohamed Ilyes Lakhal, Oswald Lanz, Andrea Cavallaro. 380-394 [doi]
- A Semi-supervised Data Augmentation Approach Using 3D Graphical EnginesShuangjun Liu, Sarah Ostadabbas. 395-408 [doi]
- Towards Learning a Realistic Rendering of Human BehaviorPatrick Esser, Johannes Haux, Timo Milbich, Björn Ommer. 409-425 [doi]
- Human Action Recognition Based on Temporal Pose CNN and Multi-dimensional FusionYi Huang, Shang-Hong Lai, Shao-Heng Tai. 426-440 [doi]
- Rendering Realistic Subject-Dependent Expression Images by Learning 3DMM Deformation CoefficientsClaudio Ferrari, Stefano Berretti, Pietro Pala, Alberto Del Bimbo. 441-455 [doi]
- Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze ModelYu Yu, Gang Liu, Jean-Marc Odobez. 456-474 [doi]
- Photorealistic Facial Synthesis in the Dimensional Affect SpaceDimitrios Kollias, Shiyang Cheng, Maja Pantic, Stefanos Zafeiriou. 475-491 [doi]
- Generating Synthetic Video Sequences by Explicitly Modeling Object MotionS. Palazzo, Concetto Spampinato, P. D'Oro, Daniela Giordano, M. Shah. 492-499 [doi]
- A Semi-supervised Deep Generative Model for Human Body AnalysisRodrigo de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H. S. Torr. 500-517 [doi]
- Role of Group Level Affect to Find the Most Influential Person in ImagesShreya Ghosh, Abhinav Dhall. 518-533 [doi]
- Residual Stacked RNNs for Action RecognitionMohamed Ilyes Lakhal, Albert Clapés, Sergio Escalera, Oswald Lanz, Andrea Cavallaro. 534-548 [doi]
- Semantically Selective Augmentation for Deep Compact Person Re-IdentificationVíctor Ponce-López, Tilo Burghardt, Sion Hannunna, Dima Damen, Alessandro Masullo, Majid Mirmehdi. 551-561 [doi]
- Recognizing People in Blind Spots Based on Surrounding BehaviorKensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Yutaka Satoh. 562-570 [doi]
- Visual Relationship Prediction via Label Clustering and Incorporation of Depth InformationHsuan-Kung Yang, An-Chieh Cheng, Kuan-Wei Ho, Tsu-Jui Fu, Chun-Yi Lee. 571-581 [doi]
- Human-Centric Visual Relation Segmentation Using Mask R-CNN and VTransEFan Yu, Xin Tan, Tongwei Ren, Gangshan Wu. 582-589 [doi]
- Learning Spatiotemporal 3D Convolution with Video Order Self-supervisionTomoyuki Suzuki, Takahiro Itazuri, Kensho Hara, Hirokatsu Kataoka. 590-598 [doi]
- What Was Monet Seeing While Painting? Translating Artworks to Photo-Realistic ImagesMatteo Tomei, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara. 601-616 [doi]
- Saliency-Driven Variational Retargeting for Historical MapsFilippo Bergamasco, Arianna Traviglia, Andrea Torsello. 617-630 [doi]
- Deep Transfer Learning for Art Classification ProblemsMatthia Sabatelli, Mike Kestemont, Walter Daelemans, Pierre Geurts. 631-646 [doi]
- Reflecting on How Artworks Are Processed and Analyzed by Computer VisionSabine Lang, Björn Ommer. 647-652 [doi]
- Seeing the World Through Machinic Eyes: Reflections on Computer Vision in the ArtsMarijke Goeting. 653-670 [doi]
- A Digital Tool to Understand the Pictorial Procedures of 17th Century RealismFrancesca Di Cicco, Lisa Wiersma, Maarten W. A. Wijntjes, Joris Dik, Jeroen Stumpel, Sylvia C. Pont. 671-675 [doi]
- How to Read Paintings: Semantic Art Understanding with Multi-modal RetrievalNoa Garcia, George Vogiatzis. 676-691 [doi]
- Weakly Supervised Object Detection in ArtworksNicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait. 692-709 [doi]
- Images of Image Machines. Visual Interpretability in Computer Vision for ArtFabian Offert. 710-715 [doi]