专任教师
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冯廷亮
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职称:副教授

 

研究方向

视觉智能;多模态学习;文化遗产数字化

 

个人简介

冯廷亮,博士,副教授。近年来主要围绕图像理解、内容复原、多模态学习、文化遗产活化利用研究方向开展深入研究。代表性成果发表在NeurIPS、CVPR等CCF-A类会议和期刊上,授权多项发明专利,参与国家重点研发计划项目、国自然文物专项重点项目等项目。

联系方式:

fengtl@nwu.edu.cn;  fengtl1995@gmail.com

个人主页链接:fengtl.github.io

 

科研成果

1.论文发表

[1] (CCF-A) Tingliang Feng, Hao Shi, Xueyang Liu, Wei Feng, Liang Wan, Yan-lin Zhou, Di Lin. Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation [C]. In Advances in Neural Information Processing Systems (NeurIPS), 2023.

[2] (CCF-A) Tingliang Feng, Wei Feng, Weiqi Li, Di Lin. Cross-Image Context for Single Image Inpainting [C]. In Advances in Neural Information Processing Systems (NeurIPS), 2022.

[3] (CCF-A) Hongmei Yin, Tingliang Feng, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan. Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation [C]. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[4] (CCF-A) Zhengyang Wang, Tingliang Feng, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan. Dual Semantic Guidance for Open Vocabulary Semantic Segmentation [C]. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[5] (SCI-3) Hongquan Qu, Tingliang Feng, Yanping Wang, Yuan Zhang. AdaBoost-SCN Algorithm for Optical Fiber Vibration Signal Recognition[J]. Applied Optics, 2019, 58(21).

[6] (SCI-3) Hongquan Qu, Tingliang Feng, Yuan Zhang, Yanping Wang. Ensemble Learning with Stochastic Configuration Network for Noisy Optical Fiber Vibration Signal Recognition[J]. Sensors, 2019, 19(15).

[7] (SCI-1) Jiayao Tan, Fan Lyu, Linyan Li, Fuyuan Hu, Tingliang Feng, Fenglei Xu, Zhang Zhang, Rui Yao, Liang Wang. Dynamic V2X Perception from Road-to-Vehicle Vision[J]. IEEE Transactions on Intelligent Vehicles, 2024.

 

2. 授权专利

[1] (授权)冯伟,冯廷亮,林迪,万亮,刘雪阳,安慧莉.基于对象级别差异记忆的开放混合域适应图像分割方法.CN116612286B

[2] (授权)林迪,冯廷亮,万亮,冯伟.一种基于跨图像上下文记忆的图像修复方法.CN115311153B

[3] (授权)林迪,陈浩然,冯廷亮,万亮,冯伟.一种基于可配置上下文路径的图像语义分割方法.CN114663660B

 

科研项目

[1]国家重点研发计划项目,数字文化遗产安全保护与利用关键技术研究和示范2020.10-2023.9,参与

[2]国家重点研发计划项目,馆藏文物数字指纹提取鉴别与身份智能管理关键技术,2023.10-2026.9,参与

[3]国自然文物专项重点基金,面向多模态文物大模型的多粒度高质量数据集构建方法研究2026.1-2029.12,参与

 

其他信息

IEEE TPAMI/IEEE TCSVT/CVPR/NeurIPS/ICCV/ICLR等国际顶级人工智能期刊/会议审稿人