简 历:
长期从事硬件加速系统设计和视频分析与处理方向的研究工作。目前已承担和参与国家重点研发计划,国家科技支撑,国家自然科学基金等多个国家级项目,主持研发的音视频硬件加速器已部署在核心业务音视频处理系统的两万个节点上,覆盖80%的音视频硬件加速业务。
主要论著:
[1] Zhang, Youqiang, Dai, Feng, Ma, Yike, Li, Hongliang, Zhao, Qiang, Zhang, Yongdong. Saliency Prediction Network for 360 degrees Videos. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING[J]. 2020, 14(1): 27-37, http://dx.doi.org/10.1109/JSTSP.2019.2955824.
[2] Dai, Feng, Zhang, Youqiang, Ma, Yike, Li, Hongliang, Zhao, Qiang, IEEE. DILATED CONVOLUTIONAL NEURAL NETWORKS FOR PANORAMIC IMAGE SALIENCY PREDICTION. 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSINGnull. 2020, 2558-2562.
[3] Jing, Xiuxiu, Ma, Yike, Zhao, Qiang, Lyu, Ke, Dai, Feng, Ro, YM, Cheng, WH, Kim, J, Chu, WT, Cui, P, Choi, JW, Hu, MC, DeNeve, W. Light Field Reconstruction Using Dynamically Generated Filters. MULTIMEDIA MODELING (MMM 2020), PT Inull. 2020, 11961: 3-13.
[4] Zhao, Qiang, Dai, Feng, Lv, Jing, Ma, Yike, Zhang, Yongdong. Panoramic Light Field From Hand-Held Video and Its Sampling for Real-Time Rendering. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2020, 30(4): 1011-1021, https://www.webofscience.com/wos/woscc/full-record/WOS:000561099300009.
[5] Wang, Xuehui, Dai, Feng, Ma, Yike, Guo, Junbo, Zhao, Qiang, Zhang, Yongdong, IEEE. NEAR-INFRARED IMAGE GUIDED NEURAL NETWORKS FOR COLOR IMAGE DENOISING. 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)null. 2019, 3807-3811.
[6] Dai, Feng, Zhu, Chen, Ma, Yike, Cao, Juan, Zhao, Qiang, Zhang, Yongdong, IEEE. Freely Explore the Scene with 360 degrees Field of View. 2019 26TH IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR)null. 2019, 888-889, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000521472600120.
[7] Wang, Xuehui, Dai, Feng, Ma, Yike, Gao, Ke, Zhang, Yong Dong. Scene-adaptive coded aperture imaging. MULTIMEDIA TOOLS AND APPLICATIONS[J]. 2019, 78(1): 697-711, https://www.webofscience.com/wos/woscc/full-record/WOS:000457317500039.
[8] Zhao, Qiang, Dai, Feng, Ma, Yike, Wan, Liang, Zhang, Jiawan, Zhang, Yongdong. Spherical Superpixel Segmentation. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2018, 20(6): 1406-1417, https://www.webofscience.com/wos/woscc/full-record/WOS:000432400400010.
[9] Zhou Jianshe, Naren Tuya, Chen Xianyu, Ma Yike, Liu Jie, Dai Feng, Schoeffmann K, Chalidabhongse TH, Ngo CW, Aramvith S, OConnor NE, Ho YS, Gabbouj M, Elgammal A. Light Field Foreground Matting Based on Defocus and Correspondence. MULTIMEDIA MODELING, MMM 2018, PT Inull. 2018, 10704: 317-328.
[10] Lv, Jing, Zhao, Qiang, Dai, Feng, Ma, Yike, Zhang, Yongdong. Variable aperture panoramic imaging. MULTIMEDIA TOOLS AND APPLICATIONS[J]. 2018, 77(20): 26677-26695, https://www.webofscience.com/wos/woscc/full-record/WOS:000444201500021.
[11] 代锋. Distortion-aware CNNs for Spherical Images", International Joint Conference on Artificial Intelligence. IJCAI. 2018.
[12] 张峻, 代锋, 马宜科, 张勇东. 多层次细粒度并行HEVC帧内模式选择算法. 计算机研究与发展[J]. 2016, 53(4): 873-883, http://lib.cqvip.com/Qikan/Article/Detail?id=668556503.
[13] 袁竞杰, 张清毅, 马宜科, 宋风龙. 细粒度并行归一化部分失真运动估计. 中国科学院大学学报[J]. 2013, 30(6): 813-818.
[14] Zhang, Yongdong, Yan, Chenggang, Dai, Feng, Ma, Yike. Efficient Parallel Framework for H.264/AVC Deblocking Filter on Many-Core Platform. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2012, 14(3): 510-524, https://www.webofscience.com/wos/woscc/full-record/WOS:000304166300003.
[15] 余磊, 刘志勇, 马宜科, 宋风龙, 徐卫志, 叶笑春. 众核结构上分块LU分解算法的研究. 高技术通讯[J]. 2011, 21(3): 248-253, http://lib.cqvip.com/Qikan/Article/Detail?id=37233631.
[16] 马宜科, 常晓涛, 范东睿, 刘志勇. 混合体系结构中有状态硬件加速器的优化. 计算机学报[J]. 2011, 34(7): 1314-1322, http://lib.cqvip.com/Qikan/Article/Detail?id=38725757.
[17] 范灵俊, 颜成钢, 宋风龙, 马宜科, 范东睿. H.264去块滤波算法在众核结构上的并行优化. 小型微型计算机系统[J]. 2011, 32(11): 2263-2267, http://lib.cqvip.com/Qikan/Article/Detail?id=39785223.
专利:
[1] 代锋, 马宜科, 赵强, 李淳芃, 张勇东, 陈宪宇. 基于双目光场相机的深度获取方法和系统. CN: CN109840922B, 2021-03-02.
[2] 代锋, 马宜科, 赵强, 张勇东, 李宏亮. 基于哈达玛矩阵的渐进式压缩感知重建方法和系统. CN: CN107749047B, 2020-10-16.
[3] 代锋, 马宜科, 张勇东, 陈宪宇. 一种光场图像前后景自动分割方法. 中国: CN105184808B, 2018-09-07.
[4] 代锋, 马宜科, 赵强, 张勇东, 李宏亮. 压缩感知图像的采集重建方法和系统. 中国: CN107846592A, 2018-03-27.
[5] 代锋, 马宜科, 赵强, 张勇东, 李宏亮, 田蔚. 基于自动编码器网络的压缩感知测量矩阵优化方法和系统. 中国: CN107784676A, 2018-03-09.
[6] 代锋, 马宜科, 张勇东, 姚涵涛, 李宏亮, 田蔚. 一种基于深度残差网络的压缩感知重建方法和系统. 中国: CN107730451A, 2018-02-23.
[7] 代锋, 张勇东, 王学辉, 马宜科. 一种恢复深度信息的图像处理的方法. 中国: CN105118031B, 2017-11-03.
[8] 马宜科, 代锋, 李宏亮. 一种基于观测矩阵的压缩感知成像及图像重建方法. 中国: CN105225207A, 2016-01-06.
[9] 代锋, 张勇东, 马宜科, 吕靖. 一种高分辨率光场图片重建方法与成像装置. 中国: CN104735351A, 2015-06-24.
科研项目:
获奖及荣誉:
北京市科技进步奖,一等奖,2014
马宜科 高级工程师
研究方向:
所属部门:前瞻研究实验室
导师类别:硕导计算机应用技术
联系方式:ykma@ict.ac.cn
个人网页:https://people.ucas.edu.cn/~ykma