蘇松志，男，博士，廈門大學信息學院副教授。
基本介紹
- 中文名：蘇松志
- 畢業院校：廈門大學
- 學位/學歷：博士
- 職業：教師
- 專業方向：計算機視覺、機器學習及其套用、人臉識別與行人檢測
- 任職院校：廈門大學信息學院
- 職稱：副教授
研究方向,主講課程,出版圖書,學術成果,在研項目,代表性論文,
研究方向
計算機視覺 機器學習及其套用 人臉識別與行人檢測 無人駕駛中的智慧型視覺技術 三維場景的感知與理解和航拍圖片分析
主講課程
程式設計語言原理（本科生課程）
機器學習（本科生課程）
機器學習（碩博生課程）
計算機視覺（博士生課程）
出版圖書
作者類型：
作者時間：
學術成果
在研項目
低空航拍下基於隱式姿態模型的平躺人體檢測方法研究,青年科學基金項目
代表性論文
蘇松志*，李紹滋，蔡國榕．《行人檢測：原理與套用》，廈大出版社-南強叢書
Song-Zhi Su, Sin-Sian Wu, Shu-Yuan Chen, Der-Jhy Duh, and Shao-Zi Li, Multi-View Fall Detection Based on Spatio-Temporal Interest Points, Multimedia Tools and Applications
Song-Zhi Su, Zhi-Hui Liu, Su-Ping Xu, Shao-Zi Li, Rongrong Ji. Depth image feature learning based on sparse auto-encoder for human detection, Signal Processing
Song-Zhi Su, Zong-Yu Lan, Shao-Zi Li, Shu-Yuan Chen, Category-specific scene categorization, Journal of the Chinese Institute of Engineers
Song-Zhi Su*, Shu-Yuan Chen. Analysis of feature fusion based on HIK SVM and its application for pedestrian detection. Abstract and Applied Analysis.
Li-Chuan Geng, Pierre-Mar Jodoin , Song-Zhi Su*, Shao-Zi Li, CBDF: Compressed Binary Discriminative Feature, NeuroComputing, 2015, doi:10.1016/j.neucom.
Guo-Rong Cai, Pierre-Marc Jodoin, Shao-Zi Li, Yun-Dong Wu, Song-Zhi Su*, Zhen-Kun Huang. Perspective-SIFT: an efficient tool for low-altitude remote sensing image registration. Signal Processing
Dao-Xun Xia, Song-Zhi Su*, Shao-Zi Li, Pierre-Mar Jodoin. Lying-Pose Detection with Training Dataset Expansion.
De-Dong Yuan, Jie Dong, Song-Zhi Su*, Shao-Zi Li, Rong-Rong Ji. Pursuing detector efficiency for simple scene pedestrian detection, The 20th Anniversary International Conference on MultiMedia Modeling Dublin, Ireland
Li-Chuang Geng, Song-Zhi Su, Dong-Lin Cao, Shao-Zi Li. Perspective-invariant image matching framework with binary feature descriptor and APSO. International Journal of Pattern Recognition and Artificial Intelligence
Si Chen, Shaozi Li, Song-Zhi Su, Donglin Cao, Rongrong Ji. Online Semi-supervised Compressive Coding for Robust Visual Tracking, Journal of Visual Communication and Image Representation
Si Chen, Shaozi Li, Songzhi Su, Qi Tian, Rongrong Ji. Online MIL tracking with instance-level semi-supervised learning, Neruocomputing
Hongbo Zhang, Shang-An Li, Shu-Yuan Chen, Song-Zhi Su, Der-Jyh Duh, and Shaozi Li, “Adaptive photograph retrieval method,” Multimedia Tools and Applications
Bing Shuai, Cheng Yun, Shao-Zi Li, Song-Zhi Su. A hierarchical clustering based non-maximum suppression method in pedestrian detection. Intelligent Science and Intelligent Data Engineering. Springer Berlin Heidelberg
Hong-Bo Zhang, Song-Zhi Su, Shao-Zi Li, Duan-Sheng Chen, Bineng Zhong, Rongrong Ji. Seeing actions through scene context. VCIP
蘇松志*, 李紹滋, 陳淑媛, 蔡國榕, 吳雲東. 行人檢測技術綜述[J]. 電子學報
蔡國榕，*李紹滋，吳雲東，蘇松志，陳水利. 一種透視不變的圖像匹配算法，自動化學報
Zhang H, *Li S, Chen S, Su S, Lin X, Cao D, 2013. Locating and recognizing multiple human actions by searching for maximum-score subsequences, Signal,ImageandVideoProcessing
*Su S, Chen S, 2013. Analysis of feature fusion based on HIK SVM and its application for pedestrian detection, Abstract and Applied Analysis
Zhang H, *Li S, Su S, Chen S, 2013. Selecting effective and discriminative spatio-temporal interest points for recognizing human action, IEICE Transactions on Information and Systems
Cai G,Pierre-Marc J, Li S, Wu Y, Su S, Huang Z, 2013.Perspective-SIFT: An efficient tool for low-altitude remote sensing image registration,Signal Processing
