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Displaying 1-20 out of 20 total
Local Readjustment for High-Resolution 3D Reconstruction
Found in: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Siyu Zhu,Tian Fang,Jianxiong Xiao,Long Quan
Issue Date:June 2014
pp. 3938-3945
Global bundle adjustment usually converges to a non-zero residual and produces sub-optimal camera poses for local areas, which leads to loss of details for high- resolution reconstruction. Instead of trying harder to optimize everything globally, we argue ...
 
Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Dahua Lin,Jianxiong Xiao
Issue Date:December 2013
pp. 841-848
In this paper, we develop a generative model to describe the layouts of outdoor scenes - the spatial configuration of regions. Specifically, the layout of an image is represented as a composite of regions, each associated with a semantic topic. At the hear...
 
SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Jianxiong Xiao,Andrew Owens,Antonio Torralba
Issue Date:December 2013
pp. 1625-1632
Existing scene understanding datasets contain only a limited set of views of a place, and they lack representations of complete 3D spaces. In this paper, we introduce SUN3D, a large-scale RGB-D video database with camera pose and object labels, capturing t...
 
Tracking Revisited Using RGBD Camera: Unified Benchmark and Baselines
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Shuran Song,Jianxiong Xiao
Issue Date:December 2013
pp. 233-240
Despite significant progress, tracking is still considered to be a very challenging task. Recently, the increasing popularity of depth sensors has made it possible to obtain reliable depth easily. This may be a game changer for tracking, since depth can be...
 
Shape Anchors for Data-Driven Multi-view Reconstruction
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Andrew Owens,Jianxiong Xiao,Antonio Torralba,William Freeman
Issue Date:December 2013
pp. 33-40
We present a data-driven method for building dense 3D reconstructions using a combination of recognition and multi-view cues. Our approach is based on the idea that there are image patches that are so distinctive that we can accurately estimate their laten...
 
Recognizing scene viewpoint using panoramic place representation
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Jianxiong Xiao,K. A. Ehinger,A. Oliva,A. Torralba
Issue Date:June 2012
pp. 2695-2702
We introduce the problem of scene viewpoint recognition, the goal of which is to classify the type of place shown in a photo, and also recognize the observer's viewpoint within that category of place. We construct a database of 360° panoramic images organi...
 
What makes an image memorable?
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By P. Isola, Jianxiong Xiao,A. Torralba,A. Oliva
Issue Date:June 2011
pp. 145-152
When glancing at a magazine, or browsing the Internet, we are continuously being exposed to photographs. Despite of this overflow of visual information, humans are extremely good at remembering thousands of pictures along with some of their visual details....
 
Rectilinear parsing of architecture in urban environment
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Peng Zhao, Tian Fang, Jianxiong Xiao, Honghui Zhang, Qinping Zhao, Long Quan
Issue Date:June 2010
pp. 342-349
We propose an approach that parses registered images captured at ground level into architectural units for large-scale city modeling. Each parsed unit has a regularized shape, which can be used for further modeling purposes. In our approach, we first parse...
 
SUN database: Large-scale scene recognition from abbey to zoo
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Jianxiong Xiao, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba
Issue Date:June 2010
pp. 3485-3492
Scene categorization is a fundamental problem in computer vision. However, scene understanding research has been constrained by the limited scope of currently-used databases which do not capture the full variety of scene categories. Whereas standard databa...
 
Joint Affinity Propagation for Multiple View Segmentation
Found in: Computer Vision, IEEE International Conference on
By Jianxiong Xiao, Jingdong Wang, Ping Tan, Long Quan
Issue Date:October 2007
pp. 1-7
A joint segmentation is a simultaneous segmentation of registered 2D images and 3D points reconstructed from the multiple view images. It is fundamental in structuring the data for subsequent modeling applications. In this paper, we treat this joint segmen...
 
Image-based street-side city modeling
Found in: ACM Transactions on Graphics (TOG)
By Jianxiong Xiao, Long Quan, Maxime Lhuillier, Peng Zhao, Tian Fang, Jianxiong Xiao, Long Quan, Maxime Lhuillier, Peng Zhao, Tian Fang
Issue Date:December 2009
pp. 1-2
We propose an automatic approach to generate street-side 3D photo-realistic models from images captured along the streets at ground level. We first develop a multi-view semantic segmentation method that recognizes and segments each image at pixel level int...
     
What Makes a Photograph Memorable?
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Phillip Isola,Jianxiong Xiao,Devi Parikh,Antonio Torralba,Aude Oliva
Issue Date:July 2014
pp. 1-1
When glancing at a magazine, or browsing the Internet, we are continuously exposed to photographs. Despite this overflow of visual information, humans are extremely good at remembering thousands of pictures along with some of their visual details. But not ...
 
What Makes a Photograph Memorable?
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Phillip Isola,Jianxiong Xiao,Devi Parikh,Antonio Torralba,Aude Oliva
Issue Date:October 2013
pp. 1
When glancing at a magazine, or browsing the Internet, we are continuously exposed to photographs. Despite this overflow of visual information, humans are extremely good at remembering thousands of pictures along with some of their visual details. But not ...
 
A Linear Approach to Matching Cuboids in RGBD Images
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Hao Jiang,Jianxiong Xiao
Issue Date:June 2013
pp. 2171-2178
We propose a novel linear method to match cuboids in indoor scenes using RGBD images from Kinect. Beyond depth maps, these cuboids reveal important structures of a scene. Instead of directly fitting cuboids to 3D data, we first construct cuboid candidates ...
 
FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Yinda Zhang,Jianxiong Xiao,James Hays,Ping Tan
Issue Date:June 2013
pp. 1171-1178
We significantly extrapolate the field of view of a photograph by learning from a roughly aligned, wide-angle guide image of the same scene category. Our method can extrapolate typical photos into complete panoramas. The extrapolation problem is formulated...
 
Basic level scene understanding: from labels to structure and beyond
Found in: SIGGRAPH Asia 2012 Technical Briefs (SA '12)
By Antonio Torralba, Aude Oliva, Bryan C. Russell, James Hays, Jianxiong Xiao, Krista A. Ehinger
Issue Date:November 2012
pp. 1-4
An early goal of computer vision was to build a system that could automatically understand a 3D scene just by looking. This requires not only the ability to extract 3D information from image information alone, but also to handle the large variety of differ...
     
Image memorability and visual inception
Found in: SIGGRAPH Asia 2012 Technical Briefs (SA '12)
By Aditya Khosla, Antonio Torralba, Aude Oliva, Jianxiong Xiao, Phillip Isola
Issue Date:November 2012
pp. 1-4
When glancing at a magazine, or browsing the Internet, we are continuously being exposed to photographs. However, not all images are equal in memory; some stitch to our minds, while others are forgotten. In this paper we discuss the notion of image memorab...
     
Image-based street-side city modeling
Found in: ACM SIGGRAPH Asia 2009 papers (SIGGRAPH Asia '09)
By Jianxiong Xiao, Long Quan, Maxime Lhuillier, Peng Zhao, Tian Fang
Issue Date:December 2009
pp. 1-6
We propose an automatic approach to generate street-side 3D photo-realistic models from images captured along the streets at ground level. We first develop a multi-view semantic segmentation method that recognizes and segments each image at pixel level int...
     
Image-based façade modeling
Found in: ACM Transactions on Graphics (TOG)
By Eyal Ofek, Jianxiong Xiao, Long Quan, Peng Zhao, Ping Tan, Tian Fang
Issue Date:December 2008
pp. 1-49
We propose in this paper a semi-automatic image-based approach to façade modeling that uses images captured along streets and relies on structure from motion to recover camera positions and point clouds automatically as the initial stage for modeling....
     
Single image tree modeling
Found in: ACM Transactions on Graphics (TOG)
By Jianxiong Xiao, Long Quan, Peng Zhao, Ping Tan, Tian Fang
Issue Date:December 2008
pp. 1-49
In this paper, we introduce a simple sketching method to generate a realistic 3D tree model from a single image. The user draws at least two strokes in the tree image: the first crown stroke around the tree crown to mark up the leaf region, the second bran...
     
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