1 code implementation • 30 May 2023 • Junzhe Zhu, Peiye Zhuang, Sanmi Koyejo
To address texture flickering issues in NeRFs, we introduce a kernel smoothing technique that refines importance sampling weights coarse-to-fine, ensuring accurate and thorough sampling in high-density regions.
no code implementations • 7 Dec 2022 • Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A Lee, Huazhe Xu, Edward Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu
Humans use all of their senses to accomplish different tasks in everyday activities.
no code implementations • 24 Nov 2020 • Junzhe Zhu, Raymond Yeh, Mark Hasegawa-Johnson
Beyond the model, we also propose a metric on how to evaluate source separation with variable number of speakers.
Ranked #5 on Speech Separation on WSJ0-4mix
1 code implementation • 22 May 2020 • Junzhe Zhu, Mark Hasegawa-Johnson, Leda Sari
In scenarios where multiple speakers talk at the same time, it is important to be able to identify the talkers accurately.