Shiyu Tan — accepted AI-conference papers

2025

IOVS4NeRF: Incremental Optimal View Selection for Large-Scale NeRFs

Jingpeng Xie, Shiyu Tan, Yuanlei Wang, Tianle Du, Yifei Xue, Yizhen Lao

ICASSP 2025accepted

Large-scale Neural Radiance Fields (NeRF) reconstructions are typically hindered by the requirement for extensive image datasets and substantial computational resources. This paper introduces IOVS4NeRF, a framework that employs an uncertainty-guided incremental optimal view selection strategy adapta…

Cited by 0 Source ↗Scholar ↗

2021

CodedStereo: Learned Phase Masks for Large Depth-of-Field Stereo

Shiyu Tan, Yicheng Wu, Shoou-I Yu, Ashok Veeraraghavan

CVPR 2021poster

Conventional stereo suffers from a fundamental trade-off between imaging volume and signal-to-noise ratio (SNR) -- due to the conflicting impact of aperture size on both these variables. Inspired by the extended depth of field cameras, we propose a novel end-to-end learning-based technique to overco…

Cited by 24 PDF ↗Scholar ↗