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ویرایش: 1st ed.
نویسندگان: Laura Leal-Taixé. Stefan Roth
سری: Lecture Notes in Computer Science 11132
ISBN (شابک) : 9783030110178, 9783030110185
ناشر: Springer International Publishing
سال نشر: 2019
تعداد صفحات: 769
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 125 مگابایت
کلمات کلیدی مربوط به کتاب کارگاه های آموزشی Computer Vision – ECCV 2018: مونیخ، آلمان، 8-14 سپتامبر 2018، مجموعه مقالات، قسمت چهارم: علوم کامپیوتر، پردازش تصویر و بینایی کامپیوتر، گرافیک کامپیوتری، سیستمهای مبتنی بر هدف خاص و کاربردی
در صورت تبدیل فایل کتاب Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018, Proceedings, Part IV به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب کارگاه های آموزشی Computer Vision – ECCV 2018: مونیخ، آلمان، 8-14 سپتامبر 2018، مجموعه مقالات، قسمت چهارم نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
مجموعه شش جلدی شامل جلدهای LNCS 11129-11134، مجموعه مقالات داوری کارگاههایی را تشکیل میدهد که همراه با پانزدهمین کنفرانس اروپایی بینایی رایانه، ECCV 2018، در مونیخ، آلمان، در سپتامبر 2018 از کارگاه آموزشی برگزار شد. 74 پروپوزال کارگاهی برای درج در مراحل انتخاب شدند. موضوعات کارگاه هماهنگی خوبی از روندهای جدید و مسائل سنتی، ایجاد پل هایی در زمینه های همسایه، و بحث در مورد فن آوری های اساسی و برنامه های کاربردی جدید را ارائه می دهد.
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