Global contrast based salient region detection
- Ming-Ming Cheng, Guo-Xin Zhang, N. Mitra, Xiaolei Huang, Shimin Hu
- Computer ScienceComputer Vision and Pattern Recognition
- 20 June 2011
This work proposes a regional contrast based saliency extraction algorithm, which simultaneously evaluates global contrast differences and spatial coherence, and consistently outperformed existing saliency detection methods.
Traffic-Sign Detection and Classification in the Wild
- Zhe Zhu, Dun Liang, Song-Hai Zhang, Xiaolei Huang, Baoli Li, Shimin Hu
- Computer ScienceComputer Vision and Pattern Recognition
- 27 June 2016
A large traffic-sign benchmark from 100000 Tencent Street View panoramas is created, going beyond previous benchmarks, and it is demonstrated how a robust end-to-end convolutional neural network (CNN) can simultaneously detect and classify trafficsigns.
PCT: Point cloud transformer
- Meng-Hao Guo, Junxiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, R. Martin, Shimin Hu
- Computer ScienceComputational Visual Media
- 17 December 2020
A novel framework based on Transformer, which achieves huge success in natural language processing and displays great potential in image processing, is presented, which is inherently permutation invariant for processing a sequence of points, making it well-suited for point cloud learning.
Morphing and Sampling Network for Dense Point Cloud Completion
- Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, Shimin Hu
- Computer ScienceAAAI Conference on Artificial Intelligence
- 30 November 2019
This work proposes a novel approach to complete the partial point cloud in two stages, which outperforms the existing methods in both the Earth Mover's Distance (EMD) and the Chamfer Distance (CD).
Deep Online Video Stabilization With Multi-Grid Warping Transformation Learning
- Miao Wang, Guo-Ye Yang, Shimin Hu
- Computer ScienceIEEE Transactions on Image Processing
- 1 May 2019
This paper presents a video stabilization technique using a convolutional neural network that does not explicitly represent the camera path and does not use future frames, and is able to handle low-quality videos, such as night-scene videos, watermarked videos, blurry videos, and noisy videos.
SalientShape: group saliency in image collections
- Ming-Ming Cheng, N. Mitra, Xiaolei Huang, Shimin Hu
- Computer ScienceThe Visual Computer
- 1 April 2014
This work introduces group saliency to achieve superior unsupervised salient object segmentation by extracting salient objects (in collections of pre-filtered images) that maximize between-image similarities and within-image distinctness.
Pose2Seg: Detection Free Human Instance Segmentation
- Song-Hai Zhang, Ruilong Li, Shimin Hu
- Computer ScienceComputer Vision and Pattern Recognition
- 28 March 2018
This paper introduces a new benchmark "Occluded Human (OCHuman)", which focuses on occluded humans with comprehensive annotations including bounding-box, human pose and instance masks, and demonstrates that this pose-based framework can achieve better accuracy than the state-of-art detection-based approach on the human instance segmentation problem, and can moreover better handle occlusion.
Sketch2Photo: internet image montage
- Tao Chen, Ming-Ming Cheng, P. Tan, Ariel Shamir, Shimin Hu
- Computer ScienceACM Transactions on Graphics
- 1 December 2009
A system that composes a realistic picture from a simple freehand sketch annotated with text labels, able to automatically select suitable photographs to generate a high quality composition, using a filtering scheme to exclude undesirable images.
A Shape‐Preserving Approach to Image Resizing
- Guo-Xin Zhang, Ming-Ming Cheng, Shimin Hu, R. Martin
- Computer ScienceComputer graphics forum (Print)
- 1 October 2009
A novel image resizing method which attempts to ensure that important local regions undergo a geometric similarity transformation, and at the same time, to preserve image edge structure, and is efficient, and offers a closed form solution.
Geometry and Convergence Analysis of Algorithms for Registration of 3D Shapes
- H. Pottmann, Qixing Huang, Yong-Liang Yang, Shimin Hu
- MathematicsInternational Journal of Computer Vision
- 1 May 2006
This work provides a convergence analysis for widely used registration algorithms such as ICP, using either closest points or tangent planes at closest points and for a recently developed approach based on quadratic approximants of the squared distance function.
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