Computational Visual Media TOTAL CONTENTS IN 2019

2019-07-13 08:35
Computational Visual Media 2019年4期

Volume 5·Number 1

1 Message from the Editor-in-Chiefhttps://doi.org/10.1007/s41095-019-0140-5

Shi-Min Hu

Tsinghua University, China

3–20BING:Binarized normed gradients for objectness estimation at 300fpshttps://doi.org/10.1007/s41095-018-0120-1

Ming-Ming Cheng1,*, Yun Liu1, Wen-Yan Lin2, Ziming Zhang3,Paul L. Rosin4, and Philip H. S. Torr5

1Nankai University, China

2Institute for Infocomm Research, Singapore

3MERL, USA

4CardiffUniversity, UK

5University of Oxford, UK

21–32Removing fences from sweep motion videos using global 3D reconstruction and fence-aware light field renderinghttps://doi.org/10.1007/s41095-018-0126-8

Chanya Lueangwattana1, Shohei Mori2,*, and Hideo Saito1

1KeioUniversity, Japan

2Graz University of Technology, Austria

33–44Automated pebble mosaic stylization of imageshttps://doi.org/10.1007/s41095-019-0129-0

Lars Doyle*, Forest Anderson, Ehren Choy, and David Mould

Carleton University, Canada

45–58Discernible image mosaic with edge-aware adaptive tileshttps://doi.org/10.1007/s41095-019-0130-7

Pengfei Xu1, Jianqiang Ding1, Hao Zhang2, and Hui Huang1,*

1Shenzhen University, China

2Simon Fraser University, Canada

59–71Real-time stereo matching on CUDA using Fourier descriptors and dynamic programminghttps://doi.org/10.1007/s41095-019-0133-4

Mohamed Hallek1,*, Fethi Smach2, and Mohamed Atri1

1Faculty of Sciences of Monastir, Tunisia

2Technologies et services de l’information, France

73–89Image-based appearance acquisition of effect coatingshttps://doi.org/10.1007/s41095-019-0134-3

The Czech Academy of Sciences, Czech Republic

91–104Recurrent 3D attentional networks for end-to-end active object recognitionhttps://doi.org/10.1007/s41095-019-0135-2

Min Liu1,2, Yifei Shi1, Lintao Zheng1, Kai Xu1,*, Hui Huang3,and Dinesh Manocha2

1National University of Defense Technology, China

2University of Maryland, USA

3Shenzhen University, China

105–115 ShadowGAN: Shadow synthesis for virtual objects with conditional adversarial networkshttps://doi.org/10.1007/s41095-019-0136-1

Shuyang Zhang1,*, Runze Liang2, and Miao Wang3

1University of Michigan, USA

2Tsinghua University, China

3Beihang University, China

Volume 5·Number 2

117–150 Salient object detection: A surveyhttps://doi.org/10.1007/s41095-019-0149-9

Ali Borji1,Ming-Ming Cheng2,*,Qibin Hou2,Huaizu Jiang3,and Jia Li4

1MarkableAI, USA

2Nankai University, China

3University of Massachusetts Amherst, USA

4Beihang University, China

151–160 A method for estimating the errors in many-light rendering with supersamplinghttps://doi.org/10.1007/s41095-019-0137-0

Hirokazu Sakai1, Kosuke Nabata1, Shinya Yasuaki1, and Kei Iwasaki1,2,*

1Wakayama University, Japan

2Dwango CG Research, Japan

161–170 Seamless and non-repetitive 4D texture variation synthesis and real-time rendering for measured optical material behaviorhttps://doi.org/10.1007/s41095-019-0141-4

Martin Ritz1,*, Simon Breitfelder2, Pedro Santos1, Arjan Kuijper1,2, and Dieter W. Fellner1,2,3

1Fraunhofer IGD, Germany

2TU Darmstadt, Germany

3TU Graz, Austria

171–191 Optimal and interactive keyframe selection for motion capturehttps://doi.org/10.1007/s41095-019-0138-z

Richard Roberts1,*, J. P. Lewis2, Ken Anjyo1,3, Jaewoo Seo4,and Yeongho Seol5

1Victoria University of Wellington, NewZealand

2Electronic Arts, USA

3OLM Digital, Japan

4Pinscreen, USA

5Weta Digital, New Zealand

193–208 No-reference synthetic image quality assessment with convolutional neural network and local image saliencyhttps://doi.org/10.1007/s41095-019-0131-6

Xiaochuan Wang1,Xiaohui Liang1,*,Bailin Yang2,and Frederick W. B. Li3

1Beihang University, China

2Zhejiang Gongshang University, China

3University of Durham, UK

209–219 Automated brain tumor segmentation on multi-modal MR image using SegNethttps://doi.org/10.1007/s41095-019-0139-y

Salma Alqazzaz1,2,*, Xianfang Sun1, Xin Yang1, and Len Nokes1

1CardiffUniversity, UK

2Baghdad University, Iraq

221–228 Livestock detection in aerial images using a fully convolutional network

Liang Han1,*, Pin Tao2, and Ralph R. Martin3

1Qinghai University, China

2Tsinghua University, China

3CardiffUniversity, UK https://doi.org/10.1007/s41095-019-0132-5

Volume 5·Number 3

229–237 Unsupervised natural image patch learninghttps://doi.org/10.1007/s41095-019-0147-y

Dov Danon1,*, Hadar Averbuch-Elor1, Ohad Fried2, and Daniel Cohen-Or1

1Tel-Aviv University, Israel

2Stanford University, USA

239–255 Deep residual learning for denoising Monte Carlo renderingshttps://doi.org/10.1007/s41095-019-0142-3

Kin-Ming Wong1,*, Tien-Tsin Wong2

1Artixels, China

2The Chinese University of Hong Kong, China

257–265 Fast raycasting using a compound deep image for virtual point light range determinationhttps://doi.org/10.1007/s41095-019-0144-1

Jesse Archer*, GeoffLeach, and Pyarelal Knowles

RMIT University, Australia

267–291 Object removal from complex videos using a few annotationshttps://doi.org/10.1007/s41095-019-0145-0

Thuc Trinh Le1,*,Andr´es Almansa2,Yann Gousseau1,and Simon Masnou3

1UniversitParis-Saclay, France

2CNRS & UniversitParis Descartes, France

3Univ Lyon, France

293–302 Manufacturable pattern collage along a boundaryhttps://doi.org/10.1007/s41095-019-0143-2

Minghai Chen, Fan Xu, and Lin Lu*

Shandong University, China

303–310 Automatic route planning for GPS art generationhttps://doi.org/10.1007/s41095-019-0146-z

Andre Waschk*, Jens Krger*

University of Duisburg-Essen, Germany

311–324 Single image shadow removal by optimization using nonshadow anchor valueshttps://doi.org/10.1007/s41095-019-0148-x

Saritha Murali*, V. K. Govindan, and Saidalavi Kalady

National Institute of Technology Calicut, India

Volume 5·Number 4

325–336 Practical BRDF reconstruction using reliable geometric regions from multi-view stereohttps://doi.org/10.1007/s41095-019-0150-3

Taishi Ono, Hiroyuki Kubo*, Kenichiro Tanaka, Takuya Funatomi, and Yasuhiro Mukaigawa

Nara Institute of Science and Technology, Japan

337–345 Reconstructing piecewise planar scenes with multi-view regularizationhttps://doi.org/10.1007/s41095-019-0159-7

Weijie Xi, Xuejin Chen*

University of Science and Technology of China, China

347–361 Evaluation of modified adaptivek-means segmentation algorithmhttps://doi.org/10.1007/s41095-019-0151-2

Taye Girma Debelee1,2,*, Friedhelm Schwenker1, Samuel Rahimeto2, and Dereje Yohannes2

1Ulm University, Germany

2Addis Ababa Science and Technology University, Ethiopia

363–374 Mixed reality based respiratory liver tumor puncture navigationhttps://doi.org/10.1007/s41095-019-0156-x

Ruotong Li1, Weixin Si2, Xiangyun Liao2, Qiong Wang2,*,Reinhard Klein1, and Pheng-Ann Heng3

1University of Bonn, Germany

2Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

2Chinese University of Hong Kong, China

375–390 InSocialNet: Interactive visual analytics for roleevent videoshttps://doi.org/10.1007/s41095-019-0157-9

Yaohua Pan1, Zhibin Niu1,*, Jing Wu2, and Jiawan Zhang1

1Tianjin University, China

2CardiffUniversity, UK

391–401 Adaptive deep residual network for single image superresolutionhttps://doi.org/10.1007/s41095-019-0158-8

Shuai Liu1, Ruipeng Gang1, Chenghua Li2,*, and Ruixia Song1

1North China University of Technology, China

2Institute of Automation, Chinese Academy of Sciences, China

403–416 A three-stage real-time detector for traffic signs in large panoramashttps://doi.org/10.1007/s41095-019-0152-1

Yizhi Song1, Ruochen Fan2, Sharon Huang3, Zhe Zhu4, and Ruofeng Tong5,*

1Purdue University, USA

2Tsinghua University, China

3Penn State University, USA

4Duke University, USA

5Zhejiang University, China

417–428 SpinNet: Spinning convolutional network for lane boundary detectionhttps://doi.org/10.1007/s41095-019-0160-1

Ruochen Fan1, Xuanrun Wang1, Qibin Hou2, Hanchao Liu1, and Tai-Jiang Mu1,*

1Tsinghua University, China

2Nankai University, China