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researcher

K. Lam

7 papers hereh-index 509.9k citations341 works total

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

author position
  • middle author6
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV3
same name
  • K. Lam — 24 papers, h 19
  • K. Lam — 5 papers, h 6
  • K. Lam — 4 papers, h 11
  • K. Lam — 2 papers, h 17
  • K. Lam — 2 papers, h 2
  • K. Lam — 2 papers, 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
20172021
most citedSoft Locality Preserving Map (SLPM) for Facial Expression Recognition

7 citations · 18 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2021★ 1 cited

Progressive and Selective Fusion Network for High Dynamic Range Imaging

Qian Ye, Jun Xiao, Kin-man Lam +1

This paper considers the problem of generating an HDR image of a scene from its LDR images. Recent studies employ deep learning and solve the problem in an end-to-end fashion, lead…

cs.CV2018★ 7 cited

Soft Locality Preserving Map (SLPM) for Facial Expression Recognition

Cigdem Turan, Kin-Man Lam, Xiangjian He

For image recognition, an extensive number of methods have been proposed to overcome the high-dimensionality problem of feature vectors being used. These methods vary from unsuperv…

cs.CV2017

Image Super-resolution via Feature-augmented Random Forest

Hailiang Li, Kin-Man Lam, Miaohui Wang

Recent random-forest (RF)-based image super-resolution approaches inherit some properties from dictionary-learning-based algorithms, but the effectiveness of the properties in RF i…

cs.CV2017★ 2 cited

Joint Maximum Purity Forest with Application to Image Super-Resolution

Hailiang Li, Kin-Man Lam, Dong Li

In this paper, we propose a novel random-forest scheme, namely Joint Maximum Purity Forest (JMPF), for classification, clustering, and regression tasks. In the JMPF scheme, the ori…

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