8 citations · 10 across the 5 of their papers we have counts for
5 papers
An Augmented Transformer Architecture for Natural Language Generation Tasks
Hailiang Li, Adele Y. C. Wang, Yang Liu +3
The Transformer based neural networks have been showing significant advantages on most evaluations of various natural language processing and other sequence-to-sequence tasks due t…
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…
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…
Efficient Likelihood Bayesian Constrained Local Model
Hailiang Li, Kin-Man Lam, Man-Yau Chiu +2
The constrained local model (CLM) proposes a paradigm that the locations of a set of local landmark detectors are constrained to lie in a subspace, spanned by a shape point distrib…
Cascaded Face Alignment via Intimacy Definition Feature
Hailiang Li, Kin-Man Lam, Edmond M. Y. Chiu +2
In this paper, we present a random-forest based fast cascaded regression model for face alignment, via a novel local feature. Our proposed local lightweight feature, namely intimac…