Visually guided sound source separation and localization using self-supervised motion representations L Zhu, E Rahtu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 24 | 2022 |
Visually guided sound source separation using cascaded opponent filter network L Zhu, E Rahtu Proceedings of the Asian Conference on Computer Vision, 2020 | 23 | 2020 |
Leveraging category information for single-frame visual sound source separation L Zhu, E Rahtu 2021 9th European Workshop on Visual Information Processing (EUVIP), 1-6, 2021 | 18* | 2021 |
Portrait instance segmentation for mobile devices L Zhu, T Wang, E Aksu, JK Kamarainen 2019 IEEE International Conference on Multimedia and Expo (ICME), 1630-1635, 2019 | 12 | 2019 |
V-slowfast network for efficient visual sound separation L Zhu, E Rahtu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 10 | 2022 |
Cross-granularity attention network for semantic segmentation L Zhu, T Wang, E Aksu, JK Kamarainen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 6 | 2019 |
Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision L Zhu, E Rahtu, H Zhao arXiv preprint arXiv:2207.01136, 2022 | 4 | 2022 |
Predicting gene expression levels from histone modification signals with convolutional recurrent neural networks L Zhu, J Kesseli, M Nykter, H Huttunen EMBEC & NBC 2017: Joint Conference of the European Medical and Biological …, 2018 | 4 | 2018 |
Fast Automatic Trimap Generation and Optimization for Segmentation Refinement T Wang, L Zhu US Patent 2020/026,582, 2020 | | 2020 |
A method for neural networks T Wang, E Aksu, L Zhu WO Patent 2019/141,896, 2019 | | 2019 |
Non-parametric Object Affinity Modeling For Semantic Instance Segmentation T Wang, L Zhu US Patent 62/666,858, 2018 | | 2018 |
Teaching Development Project: Gene Expression Prediction With Deep Learning L Zhu Tampere University of Technology, 2017 | | 2017 |