Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images (English)
- New search for: Wang, Nanyang
- New search for: Zhang, Yinda
- New search for: Li, Zhuwen
- New search for: Fu, Yanwei
- New search for: Liu, Wei
- New search for: Jiang, Yu-Gang
- New search for: Ferrari, Vittorio
- New search for: Hebert, Martial
- New search for: Sminchisescu, Cristian
- New search for: Weiss, Yair
- New search for: Wang, Nanyang
- New search for: Zhang, Yinda
- New search for: Li, Zhuwen
- New search for: Fu, Yanwei
- New search for: Liu, Wei
- New search for: Jiang, Yu-Gang
In:
Computer Vision – ECCV 2018
: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XI
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Chapter: 4
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55-71
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2018
- Article/Chapter (Book) / Electronic Resource
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Title:Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
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Additional title:Lect.Notes Computer
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Contributors:Ferrari, Vittorio ( editor ) / Hebert, Martial ( editor ) / Sminchisescu, Cristian ( editor ) / Weiss, Yair ( editor ) / Wang, Nanyang ( author ) / Zhang, Yinda ( author ) / Li, Zhuwen ( author ) / Fu, Yanwei ( author ) / Liu, Wei ( author ) / Jiang, Yu-Gang ( author )
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Conference:European Conference on Computer Vision ; 2018 ; Munich, Germany
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Published in:Computer Vision – ECCV 2018 : 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XI ; Chapter: 4 ; 55-71Lecture Notes in Computer Science ; 11215 ; 55-71
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2018-10-06
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Size:17 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Deep Boosting for Image DenoisingChen, Chang / Xiong, Zhiwei / Tian, Xinmei / Wu, Feng et al. | 2018
- 2
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Self-Supervised Relative Depth Learning for Urban Scene UnderstandingJiang, Huaizu / Larsson, Gustav / Maire, Michael / Shakhnarovich, Greg / Learned-Miller, Erik et al. | 2018
- 3
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K-convexity Shape Priors for SegmentationIsack, Hossam / Gorelick, Lena / Ng, Karin / Veksler, Olga / Boykov, Yuri et al. | 2018
- 4
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Pixel2Mesh: Generating 3D Mesh Models from Single RGB ImagesWang, Nanyang / Zhang, Yinda / Li, Zhuwen / Fu, Yanwei / Liu, Wei / Jiang, Yu-Gang et al. | 2018
- 5
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Boosted Attention: Leveraging Human Attention for Image CaptioningChen, Shi / Zhao, Qi et al. | 2018
- 6
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Image Inpainting for Irregular Holes Using Partial ConvolutionsLiu, Guilin / Reda, Fitsum A. / Shih, Kevin J. / Wang, Ting-Chun / Tao, Andrew / Catanzaro, Bryan et al. | 2018
- 7
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Fighting Fake News: Image Splice Detection via Learned Self-ConsistencyHuh, Minyoung / Liu, Andrew / Owens, Andrew / Efros, Alexei A. et al. | 2018
- 8
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Hand Pose Estimation via Latent 2.5D Heatmap RegressionIqbal, Umar / Molchanov, Pavlo / Breuel, Thomas / Gall, Juergen / Kautz, Jan et al. | 2018
- 9
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Depth-Aware CNN for RGB-D SegmentationWang, Weiyue / Neumann, Ulrich et al. | 2018
- 10
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CAR-Net: Clairvoyant Attentive Recurrent NetworkSadeghian, Amir / Legros, Ferdinand / Voisin, Maxime / Vesel, Ricky / Alahi, Alexandre / Savarese, Silvio et al. | 2018
- 11
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Evaluating Capability of Deep Neural Networks for Image Classification via Information PlaneCheng, Hao / Lian, Dongze / Gao, Shenghua / Geng, Yanlin et al. | 2018
- 12
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Super-Identity Convolutional Neural Network for Face HallucinationZhang, Kaipeng / Zhang, Zhanpeng / Cheng, Chia-Wen / Hsu, Winston H. / Qiao, Yu / Liu, Wei / Zhang, Tong et al. | 2018
- 13
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What Do I Annotate Next? An Empirical Study of Active Learning for Action LocalizationHeilbron, Fabian Caba / Lee, Joon-Young / Jin, Hailin / Ghanem, Bernard et al. | 2018
- 14
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Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable ModelGecer, Baris / Bhattarai, Binod / Kittler, Josef / Kim, Tae-Kyun et al. | 2018
- 15
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HairNet: Single-View Hair Reconstruction Using Convolutional Neural NetworksZhou, Yi / Hu, Liwen / Xing, Jun / Chen, Weikai / Kung, Han-Wei / Tong, Xin / Li, Hao et al. | 2018
- 16
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Neural Network EncapsulationLi, Hongyang / Guo, Xiaoyang / Dai, Bo / Ouyang, Wanli / Wang, Xiaogang et al. | 2018
- 17
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Learning Deep Representations with Probabilistic Knowledge TransferPassalis, Nikolaos / Tefas, Anastasios et al. | 2018
- 18
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Integrating Egocentric Videos in Top-View Surveillance Videos: Joint Identification and Temporal AlignmentArdeshir, Shervin / Borji, Ali et al. | 2018
- 19
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Visual-Inertial Object Detection and MappingFei, Xiaohan / Soatto, Stefano et al. | 2018
- 20
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Actor-Centric Relation NetworkSun, Chen / Shrivastava, Abhinav / Vondrick, Carl / Murphy, Kevin / Sukthankar, Rahul / Schmid, Cordelia et al. | 2018
- 21
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Liquid Pouring Monitoring via Rich Sensory InputsWu, Tz-Ying / Lin, Juan-Ting / Wang, Tsun-Hsuang / Hu, Chan-Wei / Niebles, Juan Carlos / Sun, Min et al. | 2018
- 22
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Weakly Supervised Region Proposal Network and Object DetectionTang, Peng / Wang, Xinggang / Wang, Angtian / Yan, Yongluan / Liu, Wenyu / Huang, Junzhou / Yuille, Alan et al. | 2018
- 23
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Zero-Annotation Object Detection with Web Knowledge TransferTao, Qingyi / Yang, Hao / Cai, Jianfei et al. | 2018
- 24
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Receptive Field Block Net for Accurate and Fast Object DetectionLiu, Songtao / Huang, Di / Wang, Yunhong et al. | 2018
- 25
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Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation MaximizationKang, Guoliang / Zheng, Liang / Yan, Yan / Yang, Yi et al. | 2018
- 26
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MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual NetworkKocabas, Muhammed / Karagoz, Salih / Akbas, Emre et al. | 2018
- 27
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TS\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{2}$$\end{document}C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object DetectionWei, Yunchao / Shen, Zhiqiang / Cheng, Bowen / Shi, Honghui / Xiong, Jinjun / Feng, Jiashi / Huang, Thomas et al. | 2018
- 28
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Hierarchy of Alternating Specialists for Scene RecognitionKim, Hyo Jin / Frahm, Jan-Michael et al. | 2018
- 29
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Move Forward and Tell: A Progressive Generator of Video DescriptionsXiong, Yilei / Dai, Bo / Lin, Dahua et al. | 2018
- 30
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Learning Monocular Depth by Distilling Cross-Domain Stereo NetworksGuo, Xiaoyang / Li, Hongsheng / Yi, Shuai / Ren, Jimmy / Wang, Xiaogang et al. | 2018
- 31
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Video Object Segmentation by Learning Location-Sensitive EmbeddingsCi, Hai / Wang, Chunyu / Wang, Yizhou et al. | 2018
- 32
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DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural ArchitecturesDong, Jin-Dong / Cheng, An-Chieh / Juan, Da-Cheng / Wei, Wei / Sun, Min et al. | 2018
- 33
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Riemannian Walk for Incremental Learning: Understanding Forgetting and IntransigenceChaudhry, Arslan / Dokania, Puneet K. / Ajanthan, Thalaiyasingam / Torr, Philip H. S. et al. | 2018
- 34
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Dependency-Aware Attention Control for Unconstrained Face Recognition with Image SetsLiu, Xiaofeng / Kumar, B. V. K. Vijaya / Yang, Chao / Tang, Qingming / You, Jane et al. | 2018
- 35
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Volumetric Performance Capture from Minimal Camera ViewpointsGilbert, Andrew / Volino, Marco / Collomosse, John / Hilton, Adrian et al. | 2018
- 36
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A Framework for Evaluating 6-DOF Object TrackersGaron, Mathieu / Laurendeau, Denis / Lalonde, Jean-François et al. | 2018
- 37
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Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with an Ordinary CameraNishino, Ko / Subpa-asa, Art / Asano, Yuta / Shimano, Mihoko / Sato, Imari et al. | 2018
- 38
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Large Scale Urban Scene Modeling from MVS MeshesZhu, Lingjie / Shen, Shuhan / Gao, Xiang / Hu, Zhanyi et al. | 2018
- 39
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Dynamic Multimodal Instance Segmentation Guided by Natural Language QueriesMargffoy-Tuay, Edgar / Pérez, Juan C. / Botero, Emilio / Arbeláez, Pablo et al. | 2018
- 40
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Learning Shape Priors for Single-View 3D Completion And ReconstructionWu, Jiajun / Zhang, Chengkai / Zhang, Xiuming / Zhang, Zhoutong / Freeman, William T. / Tenenbaum, Joshua B. et al. | 2018
- 41
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AGIL: Learning Attention from Human for Visuomotor TasksZhang, Ruohan / Liu, Zhuode / Zhang, Luxin / Whritner, Jake A. / Muller, Karl S. / Hayhoe, Mary M. / Ballard, Dana H. et al. | 2018
- 42
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Deep Imbalanced Attribute Classification Using Visual Attention AggregationSarafianos, Nikolaos / Xu, Xiang / Kakadiaris, Ioannis A. et al. | 2018
- 43
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Sub-GAN: An Unsupervised Generative Model via SubspacesLiang, Jie / Yang, Jufeng / Lee, Hsin-Ying / Wang, Kai / Yang, Ming-Hsuan et al. | 2018
- 44
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Pyramid Dilated Deeper ConvLSTM for Video Salient Object DetectionSong, Hongmei / Wang, Wenguan / Zhao, Sanyuan / Shen, Jianbing / Lam, Kin-Man et al. | 2018
- 45
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Where Will They Go? Predicting Fine-Grained Adversarial Multi-agent Motion Using Conditional Variational AutoencodersFelsen, Panna / Lucey, Patrick / Ganguly, Sujoy et al. | 2018
- 46
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Learning Data Terms for Non-blind DeblurringDong, Jiangxin / Pan, Jinshan / Sun, Deqing / Su, Zhixun / Yang, Ming-Hsuan et al. | 2018
- 47
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Zero-Shot Deep Domain AdaptationPeng, Kuan-Chuan / Wu, Ziyan / Ernst, Jan et al. | 2018
- 48
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Comparator NetworksXie, Weidi / Shen, Li / Zisserman, Andrew et al. | 2018
- 49
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Deep Regionlets for Object DetectionXu, Hongyu / Lv, Xutao / Wang, Xiaoyu / Ren, Zhou / Bodla, Navaneeth / Chellappa, Rama et al. | 2018