Krista A. Ehinger
Visual Intelligence Lab
Visual Intelligence Lab
Visual Intelligence Lab

Krista A. Ehinger
Senior Lecturer in Digital Health
School of Computing and Information Systems
Melbourne School of Engineering
The University of Melbourne
Senior Lecturer in Digital Health
School of Computing and Information Systems
Melbourne School of Engineering
The University of Melbourne
Senior Lecturer in Digital Health
School of Computing and Information Systems
Melbourne School of Engineering
The University of Melbourne

I am a Senior Lecturer in the School of Computing and Information Systems at the University of Melbourne. Previously, I was a VISTA postdoctoral fellow in the lab of James Elder at the Centre for Vision Research at York University, and a postdoctoral fellow in the lab of Jeremy Wolfe at Brigham & Women's Hospital, Harvard Medical School. I did my PhD at MIT under the supervision of Ruth Rosenholtz.

My full CV is here.

Email: kehinger (at) unimelb.edu.au
Office: Room 9.19 Doug McDonell (building 168 Parkville)

Ehinger

My full CV is here.

Email: kehinger (at) unimelb.edu.au
Office: Room 9.19 Doug McDonell (building 168 Parkville)

RESEARCH

Panoramic scene
Predicted fixations
Shape stimuli

My work focusses on the intersection of human and computer vision for tasks such as scene recognition, visual search and depth perception in natural scenes. I am interested in developing computer vision algorithms which can visually interpret scenes for place recognition and navigation, and use scene context to support object detection and recognition. I am also interested in how these processes occur in the human visual system. My work combines computational modeling, including Bayesian models and deep neural networks, with behavioral methods, including psychophysics, eye tracking, and large-scale online experiments.

PUBLICATIONS

Hypergraph optimization for salient region detection based on foreground and background queries. Zhang, J., Fang, S., Ehinger, K. A., Haikun, W., Yang, W., Zhang, K., & Yang, J. IEEE Access, 6, 26729-26741. 2018. pdf

Local depth edge detection in humans and deep neural networks. Ehinger, K. A., Adams, W. J., Graf, E. W., & Elder, J. H. International Conference on Computer Vision (ICCV) Workshop on Mutual Benefits of Cognitive and Computer Vision, 2681-2689. 2017. pdf

Comparing search patterns in digital breast tomosynthesis and full-field digital mammography: an eye tracking study. Aizenman, A. M., Drew, T., Ehinger, K. A., Georgian-Smith, D., & Wolfe, J. M. Journal of Medical Imaging, 4(4):045501, doi: 10.1117/1.JMI.4.4.045501. 2017.

A general account of peripheral encoding also predicts scene perception performance. Ehinger, K. A. & Rosenholtz, R. Journal of Vision, 16:13, doi:10/1167/16.2.13. 2017. pdf

A novel graph-based optimization framework for salient object detection. Zhang, J., Ehinger, K. A., Wei, H., Zhang, K., & Yang, J. Pattern Recognition, 64(C), 39-50. 2017.

When is it time to move to the next map? Optimal foraging in guided search. Ehinger, K. A. & Wolfe, J. M. Attention, Perception, & Psychophysics, 78(7), 2135-2151. 2016. pdf

Change blindness for cast shadows in natural scenes: Even informative shadow changes are missed. Ehinger, K. A., Allen, K., & Wolfe, J. M. Attention, Perception, & Psychophysics, 78(4), 978-987. 2016. website pdf

SUN Database: Exploring a large collection of scene categories. Xiao, J., Ehinger, K. A., Hays, J., Torralba, A., & Oliva, A. International Journal of Computer Vision, 119(1), 3-22. 2016. website pdf

A Change Detection Database for objects in natural indoor scenes. Sareen, P., Ehinger, K. A., & Wolfe, J. M. Behavior Research Methods, 48(4), 1343-1348. 2016. website pdf

TurkerGaze: Crowdsourcing saliency with webcam based eye tracking. Xu, P., Ehinger, K. A, Zhang, Y., Finkelstein, A., Kulkarni, S. R., & Jianxiong, X. arXiv:1504.06755. 2015. website pdf

Through the looking-glass: Objects in the mirror are less real. Sareen, P., Ehinger, K. A., & Wolfe, J. M. Psychonomic Bulletin & Review, 22(4), 980-986. 2015. website pdf

A prior-based graph for salient object detection. Zhang, J., Ehinger, K. A., Ding, J., & Yang, J. Proc. 21st IEEE International Conference on Image Processing (ICIP), 1175 - 1178. 2014. pdf

Basic level scene understanding: Categories, attributes and structures. Xiao, J., Hays, J., Russell, B. C, Patterson, G., Ehinger, K. A., Torralba, A., & Oliva, A. Frontiers in Psychology, 4. doi: 10.3389/fpsyg.2013.00506. 2013. pdf

Basic level scene understanding: From labels to structure and beyond. Xiao, J., Russell, B. C., Hays, J., Ehinger, K. A., Oliva, A., & Torralba, A.. In SIGGRAPH Asia 2012 Technical Briefs (SA '12), Article 36. ACM: New York, NY. 2012 pdf

Recognizing scene viewpoint using panoramic place representation. Xiao, J., Ehinger, K. A., Oliva, A., & Torralba, A. Proc. 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2012. website pdf

How visual and semantic information influence learning in familiar contexts. Goujon, A., Brockmole, J. R., & Ehinger, K. A. Journal of Experimental Psychology: Human Perception and Performance. 2012. pdf

Rethinking the role of top-down attention in vision: Effects attributable to a lossy representation in peripheral vision. Rosenholtz, R., Huang, J., & Ehinger, K. Frontiers in Psychology, 3. doi: 10.3389/fpsyg.2012.00013. 2012. pdf

Canonical views of scenes depend on the shape of the space. Ehinger, K. A., & Oliva, A. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 2114-2119). Austin, TX: Cognitive Science Society. 2011. pdf poster

Estimating scene typicality from human ratings and image features. Ehinger, K. A., Xiao, J., Torralba, A., & Oliva, A. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 2562-2567). Austin, TX: Cognitive Science Society. 2011.pdf slides

What did the early American presidents really look like? Gilbert Stuart portraits as a "Rosetta Stone" to the pre-photography era. Ehinger, K. A., & Altschuler, E. L. Perception, 40(1), 91-94. 2011. website pdf

SUN Database: Large scale scene recognition from abbey to zoo. Xiao, J., Hays, J., Ehinger, K. A., Oliva, A., & Torralba, A. In Proc. 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3485-3492. 2010. website pdf

Learning to predict where people look. Judd, T., Ehinger, K., Durand, F., Torralba, A. In 12th IEEE International Conference on Computer Vision (ICCV), 2106-2113. 2009. website pdf

Modeling search for people in 900 Scenes: A combined source model of eye guidance. Ehinger, K. A., Hidalgo-Sotelo, B., Torralba, A., & Oliva, A. Visual Cognition, 17, 945-978. 2009. website pdf

The role of color in visual search in real-world scenes: Evidence from contextual cueing. Ehinger, K. A. & Brockmole, J. R. Perception & Psychophysics, 70(7), 1366-1378. 2008. pdf

PRESENTATIONS

Influence of 2D Shape on Contour Depth Perception. Ehinger, K. A., Qian, Y., Wilcox, L. M., & Elder, J. H. Poster presented at the International Conference on Predictive Vision, June 13, 2019. poster

Influence of 2D Shape on Contour Depth Perception. Ehinger, K. A., Qian, Y., Wilcox, L. M., & Elder, J. H. Talk presented at Vision Sciences Society annual meeting, May 18, 2019. slides

Use of local image information in depth edge classification by humans and neural networks. Ehinger, K. A., Adams, W. J., Graf, E. W., & Elder, J. H. Poster presented at Vision Sciences Society annual meeting, May 19, 2018. poster

Use of local image information in depth edge classification by humans and neural networks. Ehinger, K. A., Adams, W. J., Graf, E. W., & Elder, J. H. Talk presented at MODVIS (Computational and Mathematical Models in Vision), May 17, 2018.

Learning to identify depth edges in real-world images with 3D ground truth. Ehinger, K. A., Joseph, K. T., Adams, W. J., Graf, E. W., & Elder, J. H. Poster presented at Vision Sciences Society annual meeting, May 20, 2017. poster

Learning to identify depth edges in real-world images with 3D ground truth. Ehinger, K. A., Joseph, K. T., Adams, W. J., Graf, E. W., & Elder, J. H. Talk presented at MODVIS (Computational and Mathematical Models in Vision), May 19, 2017.

How is visual search guided by shape? Using features from deep learning to understand preattentive "shape space". Ehinger, K. A. & Wolfe, J. M. Poster presented at Vision Sciences Society annual meeting, May 15, 2016. poster

Foraging in satellite imagery: When is it time to move to the next map? Ehinger, K. A. & Wolfe, J. M. Talk presented at Vision Sciences Society annual meeting, May 18, 2015.

Foraging and navigating in a virtual orchard: Which tree do you visit next? Ehinger, K. A. & Wolfe, J. M. Talk presented at Vision Sciences Society annual meeting, May 19, 2014.

Texture statistics predict human performance on a range of scene-perception tasks. Ehinger, K. A. & Rosenholtz, R. Poster presented at the Vision Sciences Society annual meeting, May 14, 2013. poster
Quantifying boundary extension in scenes. Ehinger, K. A. & Rosenholtz, R. Poster presented at Vision Sciences Society annual meeting, May 15, 2012. poster

What determines the canonical view of a scene? Ehinger, K. A. & Oliva, A. Talk presented at Vision Sciences Society annual meeting, May 8, 2011.

Canonical views of scenes. Ehinger, K. A. & Oliva, A. Poster presented at the MIT Scene Understanding Symposium, Jan 28, 2011.

Canonical views of scenes depend on the shape of the space. Ehinger, K. A., Haggerty, K. M., & Oliva, A. Poster presented at Object Perception, Attention, & Memory, Nov, 18, 2010. poster
Building a taxonomy of visual scenes: Typicality ratings and hierarchical classification. Ehinger, K. A., Torralba, A., & Oliva, A. Poster presented at Vision Sciences Society annual meeting, May 9, 2010. poster

Modeling search for people in 900 Scenes: The roles of saliency, target features, and scene context. Ehinger, K. A., Hidalgo-Sotelo, B., Torralba, A., & Oliva, A. Talk presented at Vision Sciences Society annual meeting, May 10, 2009. slides

Modeling search for people in 900 Scenes: A combined source model of eye guidance. Ehinger, K. A., Hidalgo-Sotelo, B., Torralba, A., & Oliva, A. Poster presented at the MIT Scene Understanding Symposium, Jan 30, 2009. poster

Modeling sources of visual attention guidance in real-world search. Ehinger, K. A. Talk presented at MIT Cognitive Lunch, Oct 21, 2008.

Characterizing the shape and texture of natural objects using Active Appearance Models. Ehinger, K. A. & Oliva, A. Poster presented at the Vision Sciences Society annual meeting, May 11, 2008. poster
The role of color in real-world scene contextual cueing. Ehinger, K. A. & Brockmole, J. R. Poster presented at the MIT Scene Understanding Symposium, Feb 1, 2008. poster

RESOURCES

Fixation map

Visual search

Stimuli images, fixation data, and analysis code from Modeling search for people in 900 Scenes.

Link

Change blindness

Change blindness

Collection of over 200 natural scene pairs with object changes for use in change blindness experiments.

Link

Change blindness

SUN database

Scene recognition database consisting of 899 scene categories, object/region annotations.

Link

PsychToolbox examples

SUN360 database

Panoramic scene dataset consisting of 369 scene categories, with MATLAB analysis code.

Link

Fixation map

MIT1003 dataset

Stimuli images, human fixation dataset, and saliency model from Learning to predict where humans look.

Link

PsychToolbox examples

PsychToolbox code

Sample code for running various types of visual cognition experiments in MATLAB with PsychToolbox.

Link

Scene completion

Scene completion

A simple implementation of Hays & Efros' Scene Completion Using Millions of Photographs in MATLAB.

Link

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