Computational Visual Media TOTAL CONTENTS IN 2019
2019-07-13
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
杂志排行
Computational Visual Media的其它文章
- Practical BRDF reconstruction using reliable geometric regions from multi-view stereo
- Reconstructing piecewise planar scenes with multi-view regularization
- Evaluation of modified adaptive k-means segmentation algorithm
- Mixed reality based respiratory liver tumor puncture navigation
- InSocialNet: Interactive visual analytics for role–event videos
- Adaptive deep residual network for single image super-resolution