Computer vision -- ECCV 2018 : 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings. Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss (eds.). Part XV /
"The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissi...
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2018.
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| Series: | Lecture notes in computer science ;
11219. LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics |
| Subjects: | |
| Online Access: | Springer eBooks |
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| 111 | 2 | |a European Conference on Computer Vision |n (15th : |d 2018 : |c Munich, Germany) |9 498482 | |
| 245 | 1 | 0 | |a Computer vision -- ECCV 2018 : |b 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings. |n Part XV / |c Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss (eds.). |
| 246 | 3 | |a Computer vision -- ECCV twenty eighteen | |
| 246 | 3 | |a ECCV 2018 | |
| 264 | 1 | |a Cham, Switzerland : |b Springer, |c 2018. | |
| 300 | |a 1 online resource (xxxi, 889 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Lecture notes in computer science ; |v 11219 | |
| 490 | 1 | |a LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics | |
| 500 | |a Includes author index. | ||
| 500 | |a International conference proceedings. | ||
| 505 | 0 | 0 | |t Poster Session: -- |t CNN-PS: CNN-Based Photometric Stereo for General Non-convex Surfaces / |r Satoshi Ikehata -- |t Dynamic Conditional Networks for Few-Shot Learning / |r Fang Zhao, Jian Zhao, Shuicheng Yan, Jiashi Feng -- |t Deep Factorised Inverse-Sketching / |r Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales -- |t Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss / |r Jianbo Jiao, Ying Cao, Yibing Song, Rynson Lau -- |t Summarizing First-Person Videos from Third Persons’ Points of Views / |r Hsuan-I Ho, Wei-Chen Chiu, Yu-Chiang Frank Wang -- |t Learning Single-View 3D Reconstruction with Limited Pose Supervision / |r Guandao Yang, Yin Cui, Serge Belongie, Bharath Hariharan -- |t Weakly- and Semi-supervised Panoptic Segmentation / |r Qizhu Li, Anurag Arnab, Philip H. S. Torr -- |t Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation / |r Markus Oberweger, Mahdi Rad, Vincent Lepetit -- |t Deep Co-Training for Semi-Supervised Image Recognition / |r Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo Wang, Alan Yuille -- |t Visual Coreference Resolution in Visual Dialog Using Neural Module Networks / |r Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach -- |t Learning Blind Video Temporal Consistency / |r Wei-Sheng Lai, Jia-Bin Huang, Oliver Wang, Eli Shechtman, Ersin Yumer, Ming-Hsuan Yang -- |t Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground / |r Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu, Shang-Hua Gao, Qibin Hou, Ali Borji -- |t Gray-Box Adversarial Training / |r B. S. Vivek, Konda Reddy Mopuri, R. Venkatesh Babu -- |t Visual Question Answering as a Meta Learning Task / |r Damien Teney, Anton van den Hengel -- |t On Offline Evaluation of Vision-Based Driving Models / |r Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy -- |t Visual Psychophysics for Making Face Recognition Algorithms More Explainable / |r Brandon RichardWebster, So Yon Kwon, Christopher Clarizio, Samuel E. Anthony, Walter J. Scheirer -- |t Conditional Prior Networks for Optical Flow / |r Yanchao Yang, Stefano Soatto -- |t Robust Optical Flow in Rainy Scenes / |r Ruoteng Li, Robby T. Tan, Loong-Fah Cheong -- |t Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification / |r Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy -- |t Variational Wasserstein Clustering / |r Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang -- |t Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data / |r Xihui Liu, Hongsheng Li, Jing Shao, Dapeng Chen, Xiaogang Wang -- |t Contour Knowledge Transfer for Salient Object Detection / |r Xin Li, Fan Yang, Hong Cheng, Wei Liu, Dinggang Shen -- |t Learning Category-Specific Mesh Reconstruction from Image Collections / |r Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, Jitendra Malik -- |t Learning to Forecast and Refine Residual Motion for Image-to-Video Generation / |r Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris Metaxas -- |t Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks / |r Minho Shim, Young Hwi Kim, Kyungmin Kim, Seon Joo Kim -- |t SketchyScene: Richly-Annotated Scene Sketches / |r Changqing Zou, Qian Yu, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang et al. -- |t Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility / |r Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges -- |t Revisiting RCNN: On Awakening the Classification Power of Faster RCNN / |r Bowen Cheng, Yunchao Wei, Honghui Shi, Rogerio Feris, Jinjun Xiong, Thomas Huang -- |t Semi-supervised Generative Adversarial Hashing for Image Retrieval / |r Guan’an Wang, Qinghao Hu, Jian Cheng, Zengguang Hou -- |t Person Re-identification with Deep Similarity-Guided Graph Neural Network / |r Yantao Shen, Hongsheng Li, Shuai Yi, Dapeng Chen, Xiaogang Wang -- |t Learning and Matching Multi-View Descriptors for Registration of Point Clouds / |r Lei Zhou, Siyu Zhu, Zixin Luo, Tianwei Shen, Runze Zhang, Mingmin Zhen et al. -- |t Revisiting Autofocus for Smartphone Cameras / |r Abdullah Abuolaim, Abhijith Punnappurath, Michael S. Brown -- |t Deep Burst Denoising / |r Clément Godard, Kevin Matzen, Matt Uyttendaele -- |t ISNN: Impact Sound Neural Network for Audio-Visual Object Classification / |r Auston Sterling, Justin Wilson, Sam Lowe, Ming C. Lin -- |t StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction / |r Sameh Khamis, Sean Fanello, Christoph Rhemann, Adarsh Kowdle, Julien Valentin, Shahram Izadi -- |t Attention-Aware Deep Adversarial Hashing for Cross-Modal Retrieval / |r Xi Zhang, Hanjiang Lai, Jiashi Feng -- |t 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration / |r Zi Jian Yew, Gim Hee Lee -- |t Deep Domain Generalization via Conditional Invariant Adversarial Networks / |r Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang et al. -- |t Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks / |r Siqi Yang, Arnold Wiliem, Shaokang Chen, Brian C. Lovell -- |t HiDDeN: Hiding Data With Deep Networks / |r Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei -- |t Multimodal Dual Attention Memory for Video Story Question Answering / |r Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang -- |t Deep Variational Metric Learning / |r Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, Jie Zhou -- |t HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration / |r Benjamin Eckart, Kihwan Kim, Jan Kautz -- |t Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm / |r Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng -- |t Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition / |r Yitong Wang, Dihong Gong, Zheng Zhou, Xing Ji, Hao Wang, Zhifeng Li et al. -- |t Broadcasting Convolutional Network for Visual Relational Reasoning / |r Simyung Chang, John Yang, SeongUk Park, Nojun Kwak -- |t Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning / |r Uta Büchler, Biagio Brattoli, Björn Ommer -- |t Learning to Look around Objects for Top-View Representations of Outdoor Scenes / |r Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker -- |t Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences / |r Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker -- |t Deep Component Analysis via Alternating Direction Neural Networks / |r Calvin Murdock, Ming-Fang Chang, Simon Lucey -- |t ADVISE: Symbolism and External Knowledge for Decoding Advertisements / |r Keren Ye, Adriana Kovashka. |
| 520 | |a "The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions."--Publisher's website. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed October 12, 2018). | |
| 650 | 0 | |a Computer vision |v Congresses |9 712048 | |
| 700 | 1 | |a Ferrari, Vittorio, |e editor. | |
| 700 | 1 | |a Hebert, Martial, |e editor. |9 912299 | |
| 700 | 1 | |a Sminchisescu, Cristian, |e editor. | |
| 700 | 1 | |a Ṿis, Yaʼir, |e editor. |9 974479 | |
| 830 | 0 | |a Lecture notes in computer science ; |v 11219. |9 291610 | |
| 830 | 0 | |a LNCS sublibrary. |n SL 6, |p Image processing, computer vision, pattern recognition, and graphics |9 253923 | |
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