Search Results for author: Muhammad Ghifary

Found 7 papers, 2 papers with code

FDLS: A Deep Learning Approach to Production Quality, Controllable, and Retargetable Facial Performances

no code implementations26 Sep 2023 Wan-Duo Kurt Ma, Muhammad Ghifary, J. P. Lewis, Byungkuk Choi, Haekwang Eom

This paper describes FDLS (Facial Deep Learning Solver), which is Weta Digital's solution to these challenges.

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation

2 code implementations12 Jul 2016 Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi, Wen Li

In this paper, we propose a novel unsupervised domain adaptation algorithm based on deep learning for visual object recognition.

Classification General Classification +2

Strongly-Typed Recurrent Neural Networks

no code implementations6 Feb 2016 David Balduzzi, Muhammad Ghifary

This paper imports ideas from physics and functional programming into RNN design to provide guiding principles.

Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

no code implementations15 Oct 2015 Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn, Mengjie Zhang

We propose Scatter Component Analyis (SCA), a fast representation learning algorithm that can be applied to both domain adaptation and domain generalization.

Domain Generalization General Classification +2

Domain Generalization for Object Recognition with Multi-task Autoencoders

3 code implementations ICCV 2015 Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi

The problem of domain generalization is to take knowledge acquired from a number of related domains where training data is available, and to then successfully apply it to previously unseen domains.

Denoising Domain Generalization +2

Domain Adaptive Neural Networks for Object Recognition

no code implementations21 Sep 2014 Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang

We propose a simple neural network model to deal with the domain adaptation problem in object recognition.

Denoising Domain Adaptation +2

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