Xie Han
North University of China
19 Papers
14 Citations
Xie Han is an academic researcher from North University of China. The author has contributed to research in topics: Computer science & Sketch. The author has an hindex of 3, co-authored 14 publications.
Chat about Author
Papers
Cross-Domain Correspondence for Sketch-Based 3D Model Retrieval Using Convolutional Neural Network and Manifold Ranking
TL;DR: This work proposes cross-domain correspondence method for sketch-based 3D model retrieval based on manifold ranking, which first extracts learning features of sketches and 3D models by two-parts CNN structures and generates cross- domain undirected graphs using learning features and semantic labels to create correspondence between sketches and3D models.
Developing a Reassembling Algorithm for Broken Objects
TL;DR: The proposed method can fuse multiple features of the fragments effectively and achieve an outstanding matching effect on the defected fragments, and that the proposed method is faster than the existing methods in literature.
Deep cross-modal discriminant adversarial learning for zero-shot sketch-based image retrieval
TL;DR: A discriminant adversarial learning method is developed that incorporates intra-modal discrimination, inter- modal consistency, and inter-modAL correlation into a deep learning network for common feature representation learning and significantly outperforms state-of-the-art approaches in all standard metrics.
6
Developing a Parametric 3D Face Model Editing Algorithm
TL;DR: The results suggest that compared with existing editing methods, the proposed method is more effective and efficient in constructing various 3D face models.
Design and Implementation of Geological Hazard Forecast System Based on WebGIS
Fengguang Xiong,Xie Han,Liqun Kuang +2 more
- 28 Dec 2009
TL;DR: A distributed software system is built up, which integrates the functions of geographic information system and geological hazard forecast system and distributed modulus is designed in the system, which helps to integrate various heterogeneous data sources.
4