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ORCID15th ECCV Workshops 2018: Munich, Germany - Volume 4
- Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11132, Springer 2019, ISBN 978-3-030-11017-8
W19 - Third International Workshop on Video Segmentation
- Samvit Jain, Joseph E. Gonzalez
:
Fast Semantic Segmentation on Video Using Block Motion-Based Feature Interpolation. 3-6 - Anna Khoreva, Anna Rohrbach, Bernt Schiele:
Video Object Segmentation with Referring Expressions. 7-12
W20 - PeopleCap 2018: Capturing and Modeling Human Bodies, Faces and Hands
- Nikolai Chinaev, Alexander Chigorin, Ivan Laptev:
MobileFace: 3D Face Reconstruction with Efficient CNN Regression. 15-30 - Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn:
A Kinematic Chain Space for Monocular Motion Capture. 31-47 - Hang Dai, Nick E. Pears, William A. P. Smith:
Non-rigid 3D Shape Registration Using an Adaptive Template. 48-63 - Aaron S. Jackson, Chris Manafas, Georgios Tzimiropoulos:
3D Human Body Reconstruction from a Single Image via Volumetric Regression. 64-77 - Dylan Drover, M. V. Rohith, Ching-Hang Chen, Amit Agrawal, Ambrish Tyagi, Cong Phuoc Huynh:
Can 3D Pose Be Learned from 2D Projections Alone? 78-94
W21 - Shortcomings in Vision and Language
- Alina Roitberg, Manuel Martínez, Monica Haurilet, Rainer Stiefelhagen:
Towards a Fair Evaluation of Zero-Shot Action Recognition Using External Data. 97-105 - Monica Haurilet, Ziad Al-Halah, Rainer Stiefelhagen:
MoQA - A Multi-modal Question Answering Architecture. 106-113 - Marc Tanti, Albert Gatt, Adrian Muscat:
Pre-gen Metrics: Predicting Caption Quality Metrics Without Generating Captions. 114-123 - Marc Tanti, Albert Gatt, Kenneth P. Camilleri:
Quantifying the Amount of Visual Information Used by Neural Caption Generators. 124-132 - Boeun Kim, Young Han Lee, Hyedong Jung, Choong Sang Cho:
Distinctive-Attribute Extraction for Image Captioning. 133-144 - Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang:
Knowing Where to Look? Analysis on Attention of Visual Question Answering System. 145-152 - Mehdi Ghanimifard, Simon Dobnik:
Knowing When to Look for What and Where: Evaluating Generation of Spatial Descriptions with Adaptive Attention. 153-161 - Alexander Kuhnle, Huiyuan Xie, Ann A. Copestake:
How Clever Is the FiLM Model, and How Clever Can it Be? 162-172 - Kata Naszádi, Youssef Oualil, Dietrich Klakow:
Image-Sensitive Language Modeling for Automatic Speech Recognition. 173-179 - Gabriele Bani, Davide Belli, Gautier Dagan, Alexander Geenen, Andrii Skliar, Aashish Venkatesh, Tim Baumgärtner, Elia Bruni, Raquel Fernández:
Adding Object Detection Skills to Visual Dialogue Agents. 180-187
W22 - 2nd YouTube-8M Large-Scale Video Understanding Workshop
- Joonseok Lee, Apostol Natsev, Walter Reade, Rahul Sukthankar, George Toderici:
The 2nd YouTube-8M Large-Scale Video Understanding Challenge. 193-205 - Rongcheng Lin, Jing Xiao, Jianping Fan:
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-Level Features for Large-Scale Video Classification. 206-218 - Yongyi Tang, Xing Zhang, Jingwen Wang, Shaoxiang Chen, Lin Ma, Yu-Gang Jiang:
Non-local NetVLAD Encoding for Video Classification. 219-228 - Sebastian Kmiec, Juhan Bae, Ruijian An:
Learnable Pooling Methods for Video Classification. 229-238 - Tianqi Liu, Bo Liu:
Constrained-Size Tensorflow Models for YouTube-8M Video Understanding Challenge. 239-249 - Pavel Ostyakov, Elizaveta Logacheva, Roman Suvorov, Vladimir Aliev, Gleb Sterkin, Oleg Khomenko, Sergey I. Nikolenko:
Label Denoising with Large Ensembles of Heterogeneous Neural Networks. 250-261 - Feng Mao, Xiang Wu, Hui Xue, Rong Zhang:
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. 262-270 - Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. 271-286 - Jinlai Liu, Zehuan Yuan, Changhu Wang:
Towards Good Practices for Multi-modal Fusion in Large-Scale Video Classification. 287-296 - Miha Skalic, David Austin:
Building A Size Constrained Predictive Models for Video Classification. 297-305 - Eun-Sol Kim, Kyoung-Woon On, Jongseok Kim, Yu-Jung Heo, Seong-Ho Choi, Hyun-Dong Lee, Byoung-Tak Zhang:
Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification. 306-316 - Kwangsoo Shin, Junhyeong Jeon, Seungbin Lee, Boyoung Lim, Minsoo Jeong, Jongho Nang:
Approach for Video Classification with Multi-label on YouTube-8M Dataset. 317-324 - Shivam Garg:
Learning Video Features for Multi-label Classification. 325-337 - Choongyeun Cho, Benjamin Antin, Sanchit Arora, Shwan Ashrafi, Peilin Duan, Dang The Huynh, Lee James, Hang Tuan Nguyen, Mojtaba Solgi, Cuong Van Than:
Large-Scale Video Classification with Feature Space Augmentation Coupled with Learned Label Relations and Ensembling. 338-346
W23 - 2nd International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision
- Hang Zhang, Kristin J. Dana:
Multi-style Generative Network for Real-Time Transfer. 349-365 - Petru Soviany, Radu Tudor Ionescu:
Frustratingly Easy Trade-off Optimization Between Single-Stage and Two-Stage Deep Object Detectors. 366-378 - Kashyap Chitta:
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization. 379-397 - Xinghui Dong, Chris J. Taylor, Tim F. Cootes:
Small Defect Detection Using Convolutional Neural Network Features and Random Forests. 398-412 - Yujie Zhong, Relja Arandjelovic, Andrew Zisserman:
Compact Deep Aggregation for Set Retrieval. 413-430 - Vasileios Belagiannis, Azade Farshad, Fabio Galasso:
Adversarial Network Compression. 431-449 - Yang Zhong, Vladimir Li, Ryuzo Okada, Atsuto Maki:
Target Aware Network Adaptation for Efficient Representation Learning. 450-467 - Hichem Sahbi:
Learning CCA Representations for Misaligned Data. 468-485 - Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Learning Relationship-Aware Visual Features. 486-501 - Denis A. Gudovskiy, Alec Hodgkinson, Luca Rigazio:
DNN Feature Map Compression Using Learned Representation over GF(2). 502-516 - Raquel Bello-Cerezo, Paul W. Fieguth, Francesco Bianconi:
LBP-Motivated Colour Texture Classification. 517-533 - Hayato Itoh, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori:
Discriminative Feature Selection by Optimal Manifold Search for Neoplastic Image Recognition. 534-549 - Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas:
Fast, Visual and Interactive Semi-supervised Dimensionality Reduction. 550-563 - Minh-Tan Pham:
Efficient Texture Retrieval Using Multiscale Local Extrema Descriptors and Covariance Embedding. 564-579 - Xin Xu, Jie Wang:
Extended Non-local Feature for Visual Saliency Detection in Low Contrast Images. 580-592 - Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong:
Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. 593-608 - Junbong Kim, Minki Lee, Jongeun Choi, Kisung Seo:
GA-Based Filter Selection for Representation in Convolutional Neural Networks. 609-618 - Aziz Koçanaogullari, Esra Ataer Cansizoglu:
Active Descriptor Learning for Feature Matching. 619-630 - Rui Gao, Xingsong Hou, Jie Qin, Li Liu, Fan Zhu, Zhao Zhang:
A Joint Generative Model for Zero-Shot Learning. 631-646
W24 - Women in Computer Vision Workshop
- Zeynep Akata, Dena Bazazian, Yana Hasson, Angjoo Kanazawa, Hildegard Kuehne, Gül Varol:
WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop. 649-653 - Maryam Babaee, Linwei Li, Gerhard Rigoll:
Gait Energy Image Reconstruction from Degraded Gait Cycle Using Deep Learning. 654-658 - Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet:
Hierarchical Video Understanding. 659-663 - Sara Elkerdawy, Nilanjan Ray, Hong Zhang:
Fine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence Learning. 664-670 - Aina Ferrà, Eduardo Aguilar, Petia Radeva:
Multiple Wavelet Pooling for CNNs. 671-675 - Moi Hoon Yap, Jhan S. Alarifi, Choon-Ching Ng, Nazre Batool, Kevin Walker:
Automated Facial Wrinkles Annotator. 676-680 - Mengyao Zhai, Lei Chen, Greg Mori, Mehrsan Javan Roshtkhari:
Deep Learning of Appearance Models for Online Object Tracking. 681-686 - Marcella Cornia, Lorenzo Baraldi, Hamed R. Tavakoli, Rita Cucchiara:
Towards Cycle-Consistent Models for Text and Image Retrieval. 687-691 - Yaohui Wang, Antitza Dantcheva, François Brémond:
From Attribute-Labels to Faces: Face Generation Using a Conditional Generative Adversarial Network. 692-698 - Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Optimizing Body Region Classification with Deep Convolutional Activation Features. 699-704 - Leissi Margarita Castañeda Leon, Paulo André Vechiatto de Miranda:
Efficient Interactive Multi-object Segmentation in Medical Images. 705-710 - Dídac Surís, Amanda Cardoso Duarte, Amaia Salvador, Jordi Torres, Xavier Giró-i-Nieto:
Cross-modal Embeddings for Video and Audio Retrieval. 711-716 - Pallabi Ghosh, Larry S. Davis:
Understanding Center Loss Based Network for Image Retrieval with Few Training Data. 717-722 - Atique ur Rehman, Rafia Rahim, Muhammad Shahroz Nadeem, Sibt ul Hussain:
End-to-End Trained CNN Encoder-Decoder Networks for Image Steganography. 723-729 - Avantika Singh, Shreya Hasmukh Patel, Aditya Nigam:
Cancelable Knuckle Template Generation Based on LBP-CNN. 730-733 - Ruba Alkadi, Ayman El-Baz, Fatma Taher, Naoufel Werghi:
A 2.5D Deep Learning-Based Approach for Prostate Cancer Detection on T2-Weighted Magnetic Resonance Imaging. 734-739 - Geethu Miriam Jacob, Sukhendu Das:
GreenWarps: A Two-Stage Warping Model for Stitching Images Using Diffeomorphic Meshes and Green Coordinates. 740-744
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