ly-zhu/ly-zhu.github.io

Projects webpage

Personal webpage https://ly-zhu.github.io

projects page

• Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision

  project webpage: https://ly-zhu.github.io/Beyond-Visual-Field-of-View

  Paper: https://arxiv.org/pdf/2207.01136.pdf

• V-SlowFast Network for Efficient Visual Sound Separation

  project webpage: https://ly-zhu.github.io/V-SlowFast

  Paper: https://openaccess.thecvf.com/content/WACV2022/papers/Zhu_V-SlowFast_Network_for_Efficient_Visual_Sound_Separation_WACV_2022_paper.pdf

• Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations

  project webpage: https://ly-zhu.github.io/self-supervised-motion-representations

  Paper: https://openaccess.thecvf.com/content/WACV2022/papers/Zhu_Visually_Guided_Sound_Source_Separation_and_Localization_Using_Self-Supervised_Motion_WACV_2022_paper.pdf

• Leveraging Category Information for Single-Frame Visual Sound Source Separation

  Project webpage: https://ly-zhu.github.io/leveraging-category-information-for-single-frame-visual-sound-source-separation

  Paper: https://ieeexplore.ieee.org/abstract/document/9484036

• Visually Guided Sound Source Separation using Cascaded Opponent Filter Network

  Project webpage: https://ly-zhu.github.io/cof-net

  Paper: https://openaccess.thecvf.com/content/ACCV2020/papers/Zhu_Visually_Guided_Sound_Source_Separation_using_Cascaded_Opponent_Filter_Network_ACCV_2020_paper.pdf

• Cross-Granularity Attention Network for Semantic Segmentation

  Project webpage: https://ly-zhu.github.io/meshnet

  Paper: https://openaccess.thecvf.com/content_ICCVW_2019/papers/NeurArch/Zhu_Cross-Granularity_Attention_Network_for_Semantic_Segmentation_ICCVW_2019_paper.pdf

• Portrait Instance Segmentation for Mobile Devices

  Project webpage: https://ly-zhu.github.io/portrait

  Paper: https://ieeexplore.ieee.org/abstract/document/8785021

• Predicting Gene Expression Levels from Histone Modification Signals with Convolutional Recurrent Neural Networks

  Project webpage: https://ly-zhu.github.io/crnn

  Paper: https://link.springer.com/chapter/10.1007/978-981-10-5122-7_139