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20162026
most citedDeep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling

34 citations · 260 across the 69 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 2 cited

Image Alignment in Unseen Domains via Domain Deep Generalization

Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong +2

Image alignment across domains has recently become one of the realistic and popular topics in the research community. In this problem, a deep learning-based image alignment method…

cs.CV2019★ 26 cited

ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks

Chi Nhan Duong, Khoa Luu, Kha Gia Quach +1

Large-scale face recognition in-the-wild has been recently achieved matured performance in many real work applications. However, such systems are built on GPU platforms and mostly…

cs.CV2019

Domain Generalization via Universal Non-volume Preserving Models

Thanh-Dat Truong, Chi Nhan Duong, Khoa Luu +2

Recognition across domains has recently become an active topic in the research community. However, it has been largely overlooked in the problem of recognition in new unseen domain…

cs.LG2019★ 2 cited

Defining Quantum Neural Networks via Quantum Time Evolution

Aditya Dendukuri, Blake Keeling, Arash Fereidouni +3

This work presents a novel fundamental algorithm for for defining and training Neural Networks in Quantum Information based on time evolution and the Hamiltonian. Classical Neural…

cs.CV2019

Fast Flow Reconstruction via Robust Invertible nxn Convolution

Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong +2

Flow-based generative models have recently become one of the most efficient approaches to model data generation. Indeed, they are constructed with a sequence of invertible and trac…