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- Xiaohui Shen, Ying Wu
- 2012 IEEE Conference on Computer Vision and…
- 2012
Salient object detection is not a pure low-level, bottom-up process. Higher-level knowledge is important even for task-independent image saliency. We propose a unified model to incorporate… (More)
- Haoxiang Li, Zhe L. Lin, Xiaohui Shen, Jonathan Brandt, Gang Hua
- 2015 IEEE Conference on Computer Vision and…
- 2015
In real-world face detection, large visual variations, such as those due to pose, expression, and lighting, demand an advanced discriminative model to accurately differentiate faces from the… (More)
- Jianming Zhang, Stan Sclaroff, Zhe L. Lin, Xiaohui Shen, Brian L. Price, RadomÃr Mech
- 2015 IEEE International Conference on Computer…
- 2015
We propose a highly efficient, yet powerful, salient object detection method based on the Minimum Barrier Distance (MBD) Transform. The MBD transform is robust to pixel-value fluctuation, and thus… (More)
- Xiaohui Shen, Zhe L. Lin, Jonathan Brandt, Shai Avidan, Ying Wu
- 2012 IEEE Conference on Computer Vision and…
- 2012
One fundamental problem in object retrieval with the bag-of-visual words (BoW) model is its lack of spatial information. Although various approaches are proposed to incorporate spatial constraints… (More)
- Jianming Zhang, Zhe L. Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff
- ECCV
- 2016
- Shu Kong, Xiaohui Shen, Zhe L. Lin, RadomÃr Mech, Charless C. Fowlkes
- ECCV
- 2016
A Aesthetics & Attribute Database (AADB) Fusing Attributes and Content for Aesthetics Ranking Demo, code and model can be download through project webpage… (More)
- Hongyang Li, Huchuan Lu, Zhe L. Lin, Xiaohui Shen, Brian L. Price
- IEEE Transactions on Image Processing
- 2015
In this paper, we propose a novel label propagation-based method for saliency detection. A key observation is that saliency in an image can be estimated by propagating the labels extracted from the… (More)
- Xin Lu, Zhe L. Lin, Xiaohui Shen, RadomÃr Mech, James Zijun Wang
- 2015 IEEE International Conference on Computer…
- 2015
This paper investigates problems of image style, aesthetics, and quality estimation, which require fine-grained details from high-resolution images, utilizing deep neural network training approach.… (More)
Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing
- Ke Gong, Xiaodan Liang, Xiaohui Shen, Liang Lin
- 2017 IEEE Conference on Computer Vision and…
- 2017
Human parsing has recently attracted a lot of research interests due to its huge application potentials. However existing datasets have limited number of images and annotations, and lack the variety… (More)
- Jianming Zhang, Shugao Ma, +6 authors RadomÃr Mech
- International Journal of Computer Vision
- 2015
We study the problem of salient object subitizing, i.e. predicting the existence and the number of salient objects in an image using holistic cues. This task is inspired by the ability of people to… (More)