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E. Lam

26 papers hereh-index 468.5k citations454 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author12
  • last author14

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • eess.IV5
  • physics.optics3
  • cs.CY2
  • cs.IT1
  • eess.SP1
same name
  • E. Lam — 3 papers, h 5
  • E. Lam — 2 papers, h 9
  • E. Lam — 1 paper, h 3
  • E. Lam — 1 paper, h 2
  • E. Lam — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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
Showing 2021Show all

4 papers · 1 filter

eess.IV2021★ 1 cited

An Effective Image Restorer: Denoising and Luminance Adjustment for Low-photon-count Imaging

Shansi Zhang, Edmund Y. Lam

Imaging under photon-scarce situations introduces challenges to many applications as the captured images are with low signal-to-noise ratio and poor luminance. In this paper, we in…

eess.IV2021★ 20 cited

Transfer Learning U-Net Deep Learning for Lung Ultrasound Segmentation

Dorothy Cheng, Edmund Y. Lam

Transfer learning (TL) for medical image segmentation helps deep learning models achieve more accurate performances when there are scarce medical images. This study focuses on comp…

cs.CV2021★ 3 cited

Cross-Camera Human Motion Transfer by Time Series Analysis

Yaping Zhao, Guanghan Li, Edmund Y. Lam

With advances in optical sensor technology, heterogeneous camera systems are increasingly used for high-resolution (HR) video acquisition and analysis. However, motion transfer acr…

cs.CV2021

AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision

Chang Liu, Xiaojuan Qi, Edmund Lam +1

The neuromorphic event cameras, which capture the optical changes of a scene, have drawn increasing attention due to their high speed and low power consumption. However, the event…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.