activity
20132026
most citedOn the use of deep learning for phase recovery

235 citations · 659 across the 25 of their papers we have counts for

collaborators

26 papers

physics.optics2026

Physical Fidelity of Wave-Based Inverse Problems under Broken Time-Reversal Symmetry

Haiyan Ou, Jiajia Duan, Edmund Y. Lam +1

Modern coherent imaging commonly treats defocus interference as an undesirable artifact to be suppressed. Here, we show that this interference is instead a deterministic projection…

physics.optics2023★ 235 cited

On the use of deep learning for phase recovery

Kaiqiang Wang, Li Song, Chutian Wang +8

Phase recovery (PR) refers to calculating the phase of the light field from its intensity measurements. As exemplified from quantitative phase imaging and coherent diffraction imag…

eess.IV2023

Improving Video Colorization by Test-Time Tuning

Yaping Zhao, Haitian Zheng, Jiebo Luo +1

With the advancements in deep learning, video colorization by propagating color information from a colorized reference frame to a monochrome video sequence has been well explored.…

eess.SP2023★ 7 cited

Event Encryption: Rethinking Privacy Exposure for Neuromorphic Imaging

Pei Zhang, Shuo Zhu, Edmund Y. Lam

Bio-inspired neuromorphic cameras sense illumination changes on a per-pixel basis and generate spatiotemporal streaming events within microseconds in response, offering visual info…

cs.CV2023

Context-Aware Transformer for 3D Point Cloud Automatic Annotation

Xiaoyan Qian, Chang Liu, Xiaojuan Qi +3

3D automatic annotation has received increased attention since manually annotating 3D point clouds is laborious. However, existing methods are usually complicated, e.g., pipelined…

cs.CV2023★ 20 cited

Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction

Shansi Zhang, Nan Meng, Edmund Y. Lam

Depth estimation from light field (LF) images is a fundamental step for numerous applications. Recently, learning-based methods have achieved higher accuracy and efficiency than th…