Groups
I work in Gary's Unbelievable Research Unit (GURU). I'm also part of the AI and machine learning research groups.
Research Interests
I'm primarily interested in models of visual attention, saliency, and eye movements. Humans are visual creatures, and eye movements and attention provide key insights into how we think. Furthermore, understanding these mechanisms will better enable us to solve the problems of computer vision.
I've also been interested in natural language processing and computational linguistics.
Publications
- Lingyun Zhang, Matthew H. Tong, Garrison W. Cottrell (2009). SUNDAy: Saliency Using Natural Statistics for Dynamic Analysis of Scenes. In Proceedings of the 31st Annual Cognitive Science Conference, Amsterdam, Netherlands. Mahwah: Lawrence Erlbaum.
- Christopher Kanan, Matthew H. Tong, Lingyun Zhang, and Garrison W. Cottrell (2009). SUN: Top-down saliency using natural statistics. Visual Cognition, 17(6&7), 979 - 1003.
- Lingyun Zhang, Matthew H. Tong, Tim K. Marks, Honghao Shan, and Garrison W. Cottrell (2008). SUN: A Bayesian Framework for Saliency Using Natural Statistics. Journal of Vision, 8(7):32, 1-20.
- Matthew H. Tong, Carrie A. Joyce, and Garrison W. Cottrell, (2008). Why is the fusiform face area recruited for novel categories of expertise? A neurocomputational investigation. Brain Research, 1202, 14-24.
- Zhang Lingyun, Matthew H. Tong, and Garrison W. Cottrell (2007) Information attracts attention: A probabilistic account of the cross-race advantage in visual search. In Proceedings of the 29th Annual Cognitive Science Conference, Nashville, Tennessee. Mahwah: Lawrence Erlbaum.
- Matthew H. Tong, Adam D. Bickett, Eric M. Christiansen, Garrison W. Cottrell (2007). Learning Grammatical Structure with Echo State Networks. Neural Networks, 20(3), 424-432.
- Matthew H. Tong, Carrie A. Joyce, and Garrison W. Cottrell (2005). Are Greebles special? Or, why the Fusiform Fish Area would be recruited for sword expertise (if we had one). In Proceedings of the 27th Annual Cognitive Science Conference, La Stresa, Italy. Mahwah: Lawrence Erlbaum. Winner of the 2005 Marr Prize for best student paper.
- Lenhart K. Schubert and Matthew H. Tong (2003). Extracting and evaluating general world knowledge from the Brown corpus. In Proceedings of the HLT/NAACL 2003 Workshop on Text Meaning, Edmonton, Alberta, Canada.
Posters
- Matthew H. Tong, Christopher Kanan, Lingyun Zhang, and Garrison W. Cottrell (2009). Task-driven Saliency Using Natural Statistics (SUN). 9th Annual Meeting of the Vision Sciences Society.
- Matthew H. Tong, Christopher Kanan, Lingyun Zhang, and Garrison W. Cottrell (2009). Task-driven Saliency Using Natural Statistics (SUN). COSYNE.
- Matthew H. Tong, Christopher Kanan, Lingyun Zhang, and Garrison W. Cottrell (2009). Task-driven Saliency Using Natural Statistics (SUN). Scene Understanding Symposium.
- Christopher Kanan, Matthew H. Tong, Lingyun Zhang, & Garrison W. Cottrell (2008). SUN: Top-Down Saliency Using Natural Statistics. NSF Science of Learning Center yearly PI meeting.
- Matthew H. Tong, Tim K. Marks, Lingyun Zhang, Honghao Shan and Garrison W. Cottrell (2008). SUN: A Bayesian Framework for Saliency Using Natural Statistics. COSYNE.
- Lingyun Zhang & Matthew H. Tong & Tim K. Marks & Garrison W. Cottrell (2007). A Bayesian Framework for Saliency. Temporal Dynamics of Learning Center All Hands Meeting.
- Matthew H. Tong, Adam D. Bickett, Eric M. Christiansen, Garrison W. Cottrell (2006). Learning Grammatical Structure with Echo State Networks. NIPS workshop on Resevoir Computing.