Muhammad Ghifary

According to our database, Muhammad Ghifary authored at least 11 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Wan-Duo Kurt Ma, Muhammad Ghifary, John P. Lewis, Byungkuk Choi, Haekwang Eom

CoRR, 2023

2022

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

Wan-Duo Kurt Ma, Muhammad Ghifary, John P. Lewis, Byungkuk Choi, Haegwang Eom

Proceedings of the DigiPro '22: The Digital Production Symposium, 2022

2017

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

Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn, Mengjie Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016

Domain Adaptation and Domain Generalization with Representation Learning.

Muhammad Ghifary

PhD thesis, 2016

Strongly-Typed Recurrent Neural Networks.

David Balduzzi, Muhammad Ghifary

Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation.

Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi, Wen Li

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies.

David Balduzzi, Muhammad Ghifary

CoRR, 2015

Domain Generalization for Object Recognition with Multi-task Autoencoders.

Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Domain Adaptive Neural Networks for Object Recognition.

Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang

Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Deep hybrid networks with good out-of-sample object recognition.

Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Sparse representations in deep learning for noise-robust digit classification.

Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang

Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013