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 Jianfei Cai

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Average citations per article4.72
Citation Count274
Publication count58
Publication years2002-2017
Available for download14
Average downloads per article237.64
Downloads (cumulative)3,327
Downloads (12 Months)427
Downloads (6 Weeks)53
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58 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
October 2017 MM '17: Proceedings of the 2017 ACM on Multimedia Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 21,   Downloads (12 Months): 54,   Downloads (Overall): 54

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This paper presents FaceCollage , a robust and real-time system for head reconstruction that can be used to create easy-to-deploy telepresence systems, using a pair of consumer-grade RGBD cameras that provide a wide range of views of the reconstructed user. A key feature is that the system is very simple ...
Keywords: face capture, rgbd sensors, 3d telepresence

2
October 2017 Journal of Visual Communication and Image Representation: Volume 48 Issue C, October 2017
Publisher: Academic Press, Inc.
Bibliometrics:
Citation Count: 0

We take depth recovery using face priors as the starting point of semantic prior guided depth recovery for non-rigid objects.We developed a joint optimization framework for employing face priors for depth recovery.Experimental results on BU4DFE dataset verified the effectiveness of the proposed method. For repairing inaccurate depth measurements from commodity ...
Keywords: Depth recovery, Image restoration, Face model

3
January 2017 IEEE Transactions on Circuits and Systems for Video Technology: Volume 27 Issue 1, January 2017
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

As the biggest big data, video data streaming in the network contributes the largest portion of global traffic nowadays and in the future. Due to heterogeneous mobile devices, networks, and user preferences, the demands of transcoding source videos into different versions have increased significantly. However, video transcoding is a time-consuming ...

4
September 2016 IEEE Transactions on Multimedia: Volume 18 Issue 9, September 2016
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

Most existing high-performance co-segmentation algorithms are usually complex due to the way of co-labeling a set of images as well as the common need of fine-tuning few parameters for effective co-segmentation. In this paper, instead of following the conventional way of co-labeling multiple images, we propose to first exploit inter-image ...

5
August 2016 IEEE Transactions on Multimedia: Volume 18 Issue 8, August 2016
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

Localizing, identifying, and extracting humans with consistent appearance jointly from a personal photo stream is an important problem and has wide applications. The strong variations in foreground and background and irregularly occurring foreground humans make this realistic problem challenging. Inspired by advancements in object detection, scene understanding, and image cosegmentation, ...

6
May 2016 Computer Vision and Image Understanding: Volume 146 Issue C, May 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

In this paper, we propose a multi-group image cosegmentation framework.The multi-group cosegmentation task is formulated as an energy minimization problem.We adapt the Expectation-Maximization algorithm (EM) to solve the optimization.We apply the proposed framework on three practical scenarios, including image complexity based cosegmentation, multiple training group cosegmentation and multiple noise image ...
Keywords: Image segmentation, Multiple group cosegmentation, Cosegmentation

7
April 2016 IEEE Transactions on Image Processing: Volume 25 Issue 4, April 2016
Publisher: IEEE Press
Bibliometrics:
Citation Count: 4

In this paper, we propose a fine-grained image categorization system with easy deployment. We do not use any object/part annotation (weakly supervised) in the training or in the testing stage, but only class labels for training images. Fine-grained image categorization aims to classify objects with only subtle distinctions (e.g., two ...

8
December 2015 The Visual Computer: International Journal of Computer Graphics: Volume 31 Issue 12, December 2015
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

The existing high-quality environment matting methods usually require the capturing of a few thousand sample images and spend a few hours in data acquisition. In this paper, a novel environment matting algorithm is proposed to capture and extract the environment matte data effectively and efficiently. First, the recently developed compressive ...
Keywords: Modeling and recovery of physical attributes, Picture/image generation

9 published by ACM
March 2015 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Visual Understanding with RGB-D Sensors: Volume 6 Issue 2, May 2015
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 4,   Downloads (12 Months): 71,   Downloads (Overall): 387

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Considering that the existing depth recovery approaches have different limitations when applied to Kinect depth data, in this article, we propose to integrate their effective features including adaptive support region selection, reliable depth selection, and color guidance together under an optimization framework for Kinect depth recovery. In particular, we formulate ...
Keywords: variational framework, Depth recovery, Kinect

10
January 2015 Journal of Visual Communication and Image Representation: Volume 26 Issue C, January 2015
Publisher: Academic Press, Inc.
Bibliometrics:
Citation Count: 0

We propose to apply low-rank and sparse decomposition (LRSD) for video compression.We propose an incremental LRSD (ILRSD) which facilities large-scale video processing.Our method achieves better coding efficiency compared to the state-of-the-art. Videos captured by stationary cameras are usually with a static or gradually changed background. Existing schemes are not able ...
Keywords: Video coding, CUR decomposition, Incremental low-rank and sparse decomposition, Background prediction based video coding, Background subtraction, Background subtraction based video coding, Low-rank and sparse decomposition, Stationary camera

11 published by ACM
November 2014 ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2014: Volume 33 Issue 6, November 2014
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 15,   Downloads (12 Months): 191,   Downloads (Overall): 794

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Surface reconstruction from point cloud is of great practical importance in computer graphics. Existing methods often realize reconstruction via a few phases with respective goals, whose integration may not give an optimal solution. In this paper, to avoid the inherent limitations of multi-phase processing in the prior art, we propose ...
Keywords: dictionary learning, point cloud, sparse coding, l2,q-optimization, surface reconstruction, distance metric

12
February 2014 Computer Communications: Volume 39, February, 2014
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 2

In this paper we present a cross-layer solution to the problem of unreliability in IEEE 802.11 wireless multicast network, where an Access Point (AP) is multicasting a data file to a group of receivers over independent wireless erasure channels. We first present a practical scheme for collecting feedback frames from ...
Keywords: IEEE 802.11 wireless multicasting, Retransmission rate, Average decoding delay, Coding algorithms, Reliability

13
December 2013 Proceedings of the 14th Pacific-Rim Conference on Advances in Multimedia Information Processing — PCM 2013 - Volume 8294
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Jointly segmenting common objects from multiple images remains a challenging problem. In this paper, we propose a multi-class cosegmentation method based on correlation clustering, which requires no prior knowledge of the number of clusters. Our method can handle large number of images because of the flexible graph structure and scalable ...
Keywords: Cosegmentation, active learning, pairwise constraints

14
December 2013 IEEE Transactions on Information Theory: Volume 59 Issue 12, December 2013
Publisher: IEEE Press
Bibliometrics:
Citation Count: 2

Luby transform (LT) codes provide an efficient way to transfer information over erasure channels. Past research has shown that LT codes can perform well for a large number of input symbols. However, mathematical analysis and simulation results have revealed that the packet overhead for LT decoders can be as large ...

15
October 2013 IEEE Transactions on Image Processing: Volume 22 Issue 10, October 2013
Publisher: IEEE Press
Bibliometrics:
Citation Count: 1

This paper considers the problem of automatically segmenting an image into a small number of regions that correspond to objects conveying semantics or high-level structure. Although such object-level segmentation usually requires additional high-level knowledge or learning process, we explore what low level cues can produce for this purpose. Our idea ...

16
May 2013 Journal of Visual Communication and Image Representation: Volume 24 Issue 4, May, 2013
Publisher: Academic Press, Inc.
Bibliometrics:
Citation Count: 0

Despite the great progress on interactive image segmentation, image co-segmentation, 2D and 3D segmentation, there is still no workable solution to the problem: given a set of calibrated or un-calibrated multi-view images (say, more than 40 images), by interactively cutting 3~4 images, can the foreground object of the rest images ...
Keywords: Multi-view image segmentation, Object cutout, Active contour, Image segmentation, Interactive image segmentation, 3D graph-cut, Image co-segmentation, Joint 3D and 2D segmentation

17
December 2012 PCM'12: Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Inspired by the recently developed KinectFusion technique, which is able to reconstruct a 3D scene in real time through moving Kinect, we consider improving KinectFusion for 3D reconstruction of a real object. We make some adaptations to KinectFusion so as to identify the object-of-interest and separate the 3D object model ...
Keywords: visual hull, 2D segmentation, Kinect, 3D reconstruction

18 published by ACM
October 2012 MM '12: Proceedings of the 20th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 5,   Downloads (12 Months): 16,   Downloads (Overall): 201

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Surveillance videos are usually with a static or gradually changed background. The state-of-the-art block-based codec, H.264/AVC, is not sufficiently efficient for encoding surveillance videos since it cannot exploit the strong background temporal redundancy in a global manner. In this paper, motivated by the recent advance on low-rank and sparse decomposition ...
Keywords: low-rank and sparse decomposition, cur decomposition, surveillance video compression

19
August 2012 IEEE Transactions on Image Processing: Volume 21 Issue 8, August 2012
Publisher: IEEE Press
Bibliometrics:
Citation Count: 14

The state-of-the-art interactive image segmentation algorithms are sensitive to the user inputs and often unable to produce an accurate boundary with a small amount of user interaction. They frequently rely on laborious user editing to refine the segmentation boundary. In this paper, we propose a robust and accurate interactive method ...

20
August 2012 IEEE Transactions on Multimedia - Part 2: Volume 14 Issue 4, August 2012
Publisher: IEEE Press
Bibliometrics:
Citation Count: 4

The existing image coding methods cannot support content-based spatial scalability with high compression. In mobile multimedia communications, image retargeting is generally required at the user end. However, content-based image retargeting (e.g., seam carving) is with high computational complexity and is not suitable for mobile devices with limited computing power. The ...



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