Yao LU

Professor of AI in the Faculty of Engineering at SMBU

陸耀 教授

深圳北理莫斯科大學(xué)工程系 教授

Professor Yao LU received his PhD degree in Engineering from Gunma University, Japan. He is currently a professor of the Faculty of Engineering at Shenzhen MSU-BIT University. He was a professor and doctoral supervisor at the School of Computer Science of Beijing Institute of Technology, and a visiting professor at Gunma University, Japan, and the University of Technology Sydney. He is a member of the Vision Committee of the Computer Society. He has presided over more than 30 scientific research projects funded by the National Natural Science Foundation of China, sub-projects of the National Key R&D Program, Beijing Natural Science Foundation, the National Space Special Project, China Central Television, and the State Sports General Administration. He has published more than 200 papers in important academic journals and conferences.

陸耀，教授。曾任北京理工大學(xué)計(jì)算機(jī)學(xué)院教授、博士生導(dǎo)師，人工智能研究所所長(zhǎng)、智能感知與計(jì)算技術(shù)團(tuán)隊(duì)負(fù)責(zé)人。日本群馬大學(xué)客座教授和悉尼科技大學(xué)ResarchFellow。美國(guó)ACM/IEEE會(huì)員、日本 IEICE 學(xué)會(huì)高級(jí)會(huì)員，中國(guó)計(jì)算機(jī)學(xué)會(huì)高級(jí)會(huì)員，中國(guó)計(jì)算機(jī)學(xué)會(huì)視覺(jué)專(zhuān)委會(huì)和普及工作委員會(huì)委員。曾任國(guó)家科技獎(jiǎng)勵(lì)辦、北京市科技獎(jiǎng)勵(lì)評(píng)審專(zhuān)家組成員。作為主持人承擔(dān)了國(guó)家自然科學(xué)基金、國(guó)家重點(diǎn)研發(fā)課題、教育部博士點(diǎn)基金、北京市自然科學(xué)基金、北京市重大科技支撐計(jì)劃、航天專(zhuān)項(xiàng)基金、中央廣播電視總臺(tái)基金項(xiàng)目、廣東省重點(diǎn)專(zhuān)項(xiàng)、深圳市自然科學(xué)基金和一批產(chǎn)學(xué)研企業(yè)合作項(xiàng)目等30余項(xiàng)。主要研究方向包括圖像超分辨率，計(jì)算機(jī)視覺(jué)目標(biāo)檢測(cè)、分割與跟蹤，人臉檢測(cè)與識(shí)別，光場(chǎng)圖像超分辨率與三維場(chǎng)景重建，人體姿態(tài)、動(dòng)作與群體行為分析等。指導(dǎo)學(xué)生獲得國(guó)際頂級(jí)會(huì)議CVPR NITRE光場(chǎng)超分賽道2024、2025冠軍。在 IEEE TIP、TMM、TGARS、NNLS、PR、TCSVT、IJRS 等國(guó)際期刊和ICCV、CVPR、AAAI、NeurIPS、ICME、ICASSP、ICIP等國(guó)際會(huì)議上發(fā)表論文200余篇，獲批技術(shù)發(fā)明專(zhuān)利3項(xiàng)。

Selected papers

1. Shunzhou Wang, Tianfei Zhou, Yao Lu*, Huijun Di，Detail-Preserving Transformer for Light Field Image Super-resolution，AAAI，2022。

2. Shunzhou Wang,Tianfei Zhou ,Yao Lu*, and Huijun Di,Contextual Transformation Network for Lightweight Remote-Sensing Image Super-Resolution，IEEE Transactions on Geoscience and  Remote Sensing，2022。

3. Lihua Lu , Yao Lu*, Ruizhe Yu, Huijun Di, Lin Zhang, and Shunzhou Wang，GAIM: Graph Attention Interaction Model for Collective Activity Recognition, IEEE Transactions on Multimedia, 524-539, 2020。

4. Yan Wang, Yao Lu?, Shunzhou Wang, Wenyao Zhang and Zijian Wang, Local-Global Feature Aggregation for Light Field Image Super-resolution, ICASSP2022。

5. 李公平，陸耀*，王子建，吳紫薇，汪順舟，基于模糊核估計(jì)的圖像盲超分辨率神經(jīng)網(wǎng)絡(luò)，自動(dòng)化學(xué)報(bào)，2023,49（10）2109-2121。