J
Jian Sun
Researcher at Xi'an Jiaotong University
Publications - 394
Citations - 356427
Jian Sun is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Computer science & Object detection. The author has an hindex of 109, co-authored 360 publications receiving 239387 citations. Previous affiliations of Jian Sun include French Institute for Research in Computer Science and Automation & Tsinghua University.
Papers
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Book ChapterDOI
Cat Head Detection - How to Effectively Exploit Shape and Texture Features
TL;DR: This paper proposes a two step approach for the cat head detection and proposes a set of novel features based on oriented gradients, which outperforms existing leading features, e.
Proceedings ArticleDOI
Constructing Laplace operator from point clouds in Rd
TL;DR: An algorithm for approximating the Laplace-Beltrami operator from an arbitrary point cloud obtained from a k-dimensional manifold embedded in the d-dimensional space is presented and experimental results indicate that even for point sets sampled from a uniform distribution, PCD Laplace converges faster than the weighted graph Laplacian.
Journal ArticleDOI
Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network
TL;DR: This paper presents a novel and efficient deep fusion convolutional neural network (DF-CNN) for multimodal 2D+3D facial expression recognition (FER) and is the first work of introducing deep CNN to 3D FER and deep learning-based feature-level fusion for multi-million dollar FER.
Proceedings ArticleDOI
SteadyFlow: Spatially Smooth Optical Flow for Video Stabilization
TL;DR: A novel motion model, SteadyFlow, to represent the motion between neighboring video frames for stabilization by enforcing strong spatial coherence, such that smoothing feature trajectories can be replaced by smoothing pixel profiles, which are motion vectors collected at the same pixel location in the Steady Flow over time.
Proceedings ArticleDOI
Fast matting using large kernel matting Laplacian matrices
Kaiming He,Jian Sun,Xiaoou Tang +2 more
TL;DR: This paper derives an efficient algorithm to solve a large kernel matting Laplacian and uses adaptive kernel sizes by a KD-tree trimap segmentation technique to reduce running time.