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

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-XXVI Front Matter ....Pages 1-2 Fast Semantic Segmentation on Video Using Block Motion-Based Feature Interpolation (Samvit Jain, Joseph E. Gonzalez)....Pages 3-6 Video Object Segmentation with Referring Expressions (Anna Khoreva, Anna Rohrbach, Bernt Schiele)....Pages 7-12 Front Matter ....Pages 13-14 MobileFace: 3D Face Reconstruction with Efficient CNN Regression (Nikolai Chinaev, Alexander Chigorin, Ivan Laptev)....Pages 15-30 A Kinematic Chain Space for Monocular Motion Capture (Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn)....Pages 31-47 Non-rigid 3D Shape Registration Using an Adaptive Template (Hang Dai, Nick Pears, William Smith)....Pages 48-63 3D Human Body Reconstruction from a Single Image via Volumetric Regression (Aaron S. Jackson, Chris Manafas, Georgios Tzimiropoulos)....Pages 64-77 Can 3D Pose Be Learned from 2D Projections Alone? (Dylan Drover, Rohith M. V, Ching-Hang Chen, Amit Agrawal, Ambrish Tyagi, Cong Phuoc Huynh)....Pages 78-94 Front Matter ....Pages 95-96 Towards a Fair Evaluation of Zero-Shot Action Recognition Using External Data (Alina Roitberg, Manuel Martinez, Monica Haurilet, Rainer Stiefelhagen)....Pages 97-105 MoQA – A Multi-modal Question Answering Architecture (Monica Haurilet, Ziad Al-Halah, Rainer Stiefelhagen)....Pages 106-113 Pre-gen Metrics: Predicting Caption Quality Metrics Without Generating Captions (Marc Tanti, Albert Gatt, Adrian Muscat)....Pages 114-123 Quantifying the Amount of Visual Information Used by Neural Caption Generators (Marc Tanti, Albert Gatt, Kenneth P. Camilleri)....Pages 124-132 Distinctive-Attribute Extraction for Image Captioning (Boeun Kim, Young Han Lee, Hyedong Jung, Choongsang Cho)....Pages 133-144 Knowing Where to Look? Analysis on Attention of Visual Question Answering System (Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang)....Pages 145-152 Knowing When to Look for What and Where: Evaluating Generation of Spatial Descriptions with Adaptive Attention (Mehdi Ghanimifard, Simon Dobnik)....Pages 153-161 How Clever Is the FiLM Model, and How Clever Can it Be? (Alexander Kuhnle, Huiyuan Xie, Ann Copestake)....Pages 162-172 Image-Sensitive Language Modeling for Automatic Speech Recognition (Kata Naszádi, Youssef Oualil, Dietrich Klakow)....Pages 173-179 Adding Object Detection Skills to Visual Dialogue Agents (Gabriele Bani, Davide Belli, Gautier Dagan, Alexander Geenen, Andrii Skliar, Aashish Venkatesh et al.)....Pages 180-187 Front Matter ....Pages 189-191 The 2nd YouTube-8M Large-Scale Video Understanding Challenge (Joonseok Lee, Apostol (Paul) Natsev, Walter Reade, Rahul Sukthankar, George Toderici)....Pages 193-205 NeXtVLAD: An Efficient Neural Network to Aggregate Frame-Level Features for Large-Scale Video Classification (Rongcheng Lin, Jing Xiao, Jianping Fan)....Pages 206-218 Non-local NetVLAD Encoding for Video Classification (Yongyi Tang, Xing Zhang, Jingwen Wang, Shaoxiang Chen, Lin Ma, Yu-Gang Jiang)....Pages 219-228 Learnable Pooling Methods for Video Classification (Sebastian Kmiec, Juhan Bae, Ruijian An)....Pages 229-238 Constrained-Size Tensorflow Models for YouTube-8M Video Understanding Challenge (Tianqi Liu, Bo Liu)....Pages 239-249 Label Denoising with Large Ensembles of Heterogeneous Neural Networks (Pavel Ostyakov, Elizaveta Logacheva, Roman Suvorov, Vladimir Aliev, Gleb Sterkin, Oleg Khomenko et al.)....Pages 250-261 Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network (Feng Mao, Xiang Wu, Hui Xue, Rong Zhang)....Pages 262-270 Training Compact Deep Learning Models for Video Classification Using Circulant Matrices (Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre, Jamal Atif)....Pages 271-286 Towards Good Practices for Multi-modal Fusion in Large-Scale Video Classification (Jinlai Liu, Zehuan Yuan, Changhu Wang)....Pages 287-296 Building A Size Constrained Predictive Models for Video Classification (Miha Skalic, David Austin)....Pages 297-305 Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification (Eun-Sol Kim, Kyoung-Woon On, Jongseok Kim, Yu-Jung Heo, Seong-Ho Choi, Hyun-Dong Lee et al.)....Pages 306-316 Approach for Video Classification with Multi-label on YouTube-8M Dataset (Kwangsoo Shin, Junhyeong Jeon, Seungbin Lee, Boyoung Lim, Minsoo Jeong, Jongho Nang)....Pages 317-324 Learning Video Features for Multi-label Classification (Shivam Garg)....Pages 325-337 Large-Scale Video Classification with Feature Space Augmentation Coupled with Learned Label Relations and Ensembling (Choongyeun Cho, Benjamin Antin, Sanchit Arora, Shwan Ashrafi, Peilin Duan, Dang The Huynh et al.)....Pages 338-346 Front Matter ....Pages 347-348 Multi-style Generative Network for Real-Time Transfer (Hang Zhang, Kristin Dana)....Pages 349-365 Frustratingly Easy Trade-off Optimization Between Single-Stage and Two-Stage Deep Object Detectors (Petru Soviany, Radu Tudor Ionescu)....Pages 366-378 Targeted Kernel Networks: Faster Convolutions with Attentive Regularization (Kashyap Chitta)....Pages 379-397 Small Defect Detection Using Convolutional Neural Network Features and Random Forests (Xinghui Dong, Chris J. Taylor, Tim F. Cootes)....Pages 398-412 Compact Deep Aggregation for Set Retrieval (Yujie Zhong, Relja Arandjelović, Andrew Zisserman)....Pages 413-430 Adversarial Network Compression (Vasileios Belagiannis, Azade Farshad, Fabio Galasso)....Pages 431-449 Target Aware Network Adaptation for Efficient Representation Learning (Yang Zhong, Vladimir Li, Ryuzo Okada, Atsuto Maki)....Pages 450-467 Learning CCA Representations for Misaligned Data (Hichem Sahbi)....Pages 468-485 Learning Relationship-Aware Visual Features (Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro)....Pages 486-501 DNN Feature Map Compression Using Learned Representation over GF(2) (Denis Gudovskiy, Alec Hodgkinson, Luca Rigazio)....Pages 502-516 LBP-Motivated Colour Texture Classification (Raquel Bello-Cerezo, Paul Fieguth, Francesco Bianconi)....Pages 517-533 Discriminative Feature Selection by Optimal Manifold Search for Neoplastic Image Recognition (Hayato Itoh, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-Ei Kudo, Kensaku Mori)....Pages 534-549 Fast, Visual and Interactive Semi-supervised Dimensionality Reduction (Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas)....Pages 550-563 Efficient Texture Retrieval Using Multiscale Local Extrema Descriptors and Covariance Embedding (Minh-Tan Pham)....Pages 564-579 Extended Non-local Feature for Visual Saliency Detection in Low Contrast Images (Xin Xu, Jie Wang)....Pages 580-592 Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization (Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong)....Pages 593-608 GA-Based Filter Selection for Representation in Convolutional Neural Networks (Junbong Kim, Minki Lee, Jongeun Choi, Kisung Seo)....Pages 609-618 Active Descriptor Learning for Feature Matching (Aziz Koçanaoğulları, Esra Ataer-Cansızoğlu)....Pages 619-630 A Joint Generative Model for Zero-Shot Learning (Rui Gao, Xingsong Hou, Jie Qin, Li Liu, Fan Zhu, Zhao Zhang)....Pages 631-646 Front Matter ....Pages 647-648 WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop (Zeynep Akata, Dena Bazazian, Yana Hasson, Angjoo Kanazawa, Hildegard Kuehne, Gül Varol)....Pages 649-653 Gait Energy Image Reconstruction from Degraded Gait Cycle Using Deep Learning (Maryam Babaee, Linwei Li, Gerhard Rigoll)....Pages 654-658 Hierarchical Video Understanding (Farzaneh Mahdisoltani, Roland Memisevic, David Fleet)....Pages 659-663 Fine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence Learning (Sara Elkerdawy, Nilanjan Ray, Hong Zhang)....Pages 664-670 Multiple Wavelet Pooling for CNNs (Aina Ferrà, Eduardo Aguilar, Petia Radeva)....Pages 671-675 Automated Facial Wrinkles Annotator (Moi Hoon Yap, Jhan Alarifi, Choon-Ching Ng, Nazre Batool, Kevin Walker)....Pages 676-680 Deep Learning of Appearance Models for Online Object Tracking (Mengyao Zhai, Lei Chen, Greg Mori, Mehrsan Javan Roshtkhari)....Pages 681-686 Towards Cycle-Consistent Models for Text and Image Retrieval (Marcella Cornia, Lorenzo Baraldi, Hamed R. Tavakoli, Rita Cucchiara)....Pages 687-691 From Attribute-Labels to Faces: Face Generation Using a Conditional Generative Adversarial Network (Yaohui Wang, Antitza Dantcheva, Francois Bremond)....Pages 692-698 Optimizing Body Region Classification with Deep Convolutional Activation Features (Obioma Pelka, Felix Nensa, Christoph M. Friedrich)....Pages 699-704 Efficient Interactive Multi-object Segmentation in Medical Images (Leissi Margarita Castañeda Leon, Paulo André Vechiatto de Miranda)....Pages 705-710 Cross-modal Embeddings for Video and Audio Retrieval (Didac Surís, Amanda Duarte, Amaia Salvador, Jordi Torres, Xavier Giró-i-Nieto)....Pages 711-716 Understanding Center Loss Based Network for Image Retrieval with Few Training Data (Pallabi Ghosh, Larry S. Davis)....Pages 717-722 End-to-End Trained CNN Encoder-Decoder Networks for Image Steganography (Atique ur Rehman, Rafia Rahim, Shahroz Nadeem, Sibt ul Hussain)....Pages 723-729 Cancelable Knuckle Template Generation Based on LBP-CNN (Avantika Singh, Shreya Hasmukh Patel, Aditya Nigam)....Pages 730-733 A 2.5D Deep Learning-Based Approach for Prostate Cancer Detection on T2-Weighted Magnetic Resonance Imaging (Ruba Alkadi, Ayman El-Baz, Fatma Taher, Naoufel Werghi)....Pages 734-739 GreenWarps: A Two-Stage Warping Model for Stitching Images Using Diffeomorphic Meshes and Green Coordinates (Geethu Miriam Jacob, Sukhendu Das)....Pages 740-744 Back Matter ....Pages 745-747