2018

Shallowing Deep Networks: Layer-wise Pruning based on Feature Representations [pdf] [bib] [project page]
S. Chen and Q. Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018

Anticipating Where People will Look Using Adversarial Networks [pdf] [bib] [project page]
M. Zhang, K. Ma, J. Lim, Q. Zhao and J. Feng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018

Unsupervised Learning of View-invariant Action Representations [pdf] [bib] [poster] [video]
J. Li, Y. Wong, Q. Zhao and M. Kankanhalli
Advances in Neural Information Processing Systems (NIPS), 2018

Boosted Attention: Leveraging Human Attention for Image Captioning [pdf] [bib] [project page]
S. Chen and Q. Zhao
European Conference on Computer Vision (ECCV), 2018

Finding Any Waldo: Zero-Shot Invariant and Efficient Visual Search [pdf] [bib] [project page]
M. Zhang, J. Feng, K. Ma, J. Lim, Q. Zhao and G. Kreiman
Nature Communications, 2018

Egocentric Spatial Memory [pdf] [bib] [project page]
M. Zhang, K. Ma, J. Lim, S. Yen, Q. Zhao and J. Feng
International Conference on Intelligent Robots and Systems (IROS), 2018

CapVis: Towards Better Understanding of Visual-Verbal Saliency Consistency [pdf] [bib]
H. Liang, M. Jiang, R. Liang and Q. Zhao
ACM Transactions on Intelligent Systems and Technology (TIST), 2018

Emotional Attention: A Study of Image Sentiment and Visual Attention [pdf] [bib] [project page]
S. Fan, Z. Shen, M. Jiang, B. Koenig, J. Xu, M. Kankanhalli and Q. Zhao
Conference on Computer Vision and Pattern Recognition (CVPR), June 2018

Attentive Systems: A Survey [pdf] [bib]
T. Nguyen, Q. Zhao and S. Yan
International Journal of Computer Vision (IJCV), Volume 126, Issue 1, Pages 86-110, January 2018

2017

Learning Visual Attention to Identify People with Autism Spectrum Disorder [pdf] [bib] [project page]
M. Jiang and Q. Zhao
International Conference on Computer Vision (ICCV), October 2017

Dual-Glance Model for Deciphering Social Relationships [pdf] [bib]
J. Li, Y. Wong, Q. Zhao and M. Kankanhalli
International Conference on Computer Vision (ICCV), October 2017

Image Visual Realism: From Human Perception to Machine Computation [pdf] [bib]
S. Fan, T. Ng, B. Koenig, J. Herberg, M. Jiang, Z. Shen and Q. Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017

Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning [code]
N. Erickson and Q. Zhao
arXiv:1706.05749, 2017

The Role of Visual Attention in Sentiment Prediction[pdf] [bib]
S. Fan, M. Jiang, Z. Shen, B. Koenig, M. Kankanhalli and Q. Zhao
ACM Multimedia (ACMMM), October 2017

Attention Transfer from Web Images for Video Recognition [pdf] [bib]
J. Li, Y. Wong, Q. Zhao and M. Kankanhalli
ACM Multimedia (ACMMM), October 2017

Determining Child Orientation from Overhead Video: a Multiple Kernel Learning Approach [pdf] [bib]
M. Manner, M. Jiang, Q. Zhao, M. Gini and J. Elison
International Conference on Systems, Man, and Cybernetics (SMC), October 2017

Foveated Neural Network: Gaze Prediction on Egocentric Videos [pdf] [bib]
M. Zhang, K. Ma, J. Lim and Q. Zhao
International Conference on Image Processing (ICIP), September 2017

Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks [pdf] [bib] [code]
M. Zhang, K. Ma, J. Lim, Q. Zhao and J. Feng
Conference on Computer Vision and Pattern Recognition (CVPR), July 2017

2016

Revealing the world of autism through the lens of a camera [pdf] [bib]
S. Wang, S. Fan, B. Chen, S. Hakimi, L.K. Paul, Q. Zhao and R. Adolphs
Current Biology, Volume 26, Issue 20, Pages R909-R910, October 2016

A Paradigm for Building Generalized Models of Human Visual Perception through Data Fusion [pdf] [bib]
S. Fan, T. Ng, B. Koenig, M. Jiang and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages 5762-5771, Las Vegas, USA, June 2016

Data Fusion with Deep Boltzmann Machines for High-Level Image Perception [pdf] [bib]
B. Xu, M. Jiang, S. Fan and Q. Zhao
Women in Computer Vision Workshop (WiCV), in conjunction with CVPR, Las Vegas, USA, June 2062

Flexible Clustered Multi-Task Learning by Learning Representative Tasks [pdf] [bib]
Q. Zhou and Q. Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 38, Issue 2, Pages 266-278, February 2016

Learning to Predict Sequences Human Visual Fixations [pdf] [bib]
M. Jiang, X. Boix, G. Roig, J. Xu, L. Van Gool and Q. Zhao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Volume 27, Issue 6, Pages 1241-1252, June 2016

Change detection and visual classification: two sides of the same coin
B. Chen, M. Jiang, M. McGill, Q. Zhao and P. Perona
Vision Sciences Society (VSS) Annual Meeting, St. Pete Beach, Florida, 2016

2015

Atypical Visual Saliency in Autism Spectrum Disorder Quantified through Model-based Eye Tracking [pdf] [bib] [project webpage] [preview]
S. Wang*, M. Jiang*, X.M. Duchesne, E.A. Laugeson, D.P. Kennedy, R. Adolphs and Q. Zhao
Neuron, Volume 88, Issue 3, Pages 604-616, November 2015. Featured on the cover.
(*Equal authorship)

SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks [pdf] [bib] [demo]
X. Huang, C. Shen, X. Boix and Q. Zhao
IEEE International Conference on Computer Vision (ICCV), Pages 262-270, Santiago, Chile, December 2015

Predicting Eye Fixations on Webpage With an Ensemble of Early Features and High-Level Representations from Deep Network [pdf] [bib]
C. Shen, X. Huang and Q. Zhao
IEEE Transactions on Multimedia (TMM), Volume 17, Issue 11, Pages 2084-2093, November 2015

Multi-Camera Saliency [pdf] [bib] [project webpage]
Y. Luo, M. Jiang, Y. Wong and Q. Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 37, Issue 10, Pages 2057-2070, October 2015

Saliency Prediction with Active Semantic Segmentation [pdf] [bib] [project webpage]
M. Jiang, X. Boix, J. Xu, G. Roig, L. Van Gool and Q. Zhao
British Machine Vision Conference (BMVC), Swansea, UK, September 2015

Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems [pdf] [bib]
Q. Zhou and Q. Zhao
International Conference on Machine Learning (ICML), Pages 1103-1112, Lille, France, July 2015

SALICON: Saliency in Context [pdf] [bib] [webpage]
M. Jiang*, S. Huang*, J. Duan* and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1072-1080, Boston, USA, June 2015
(*Equal authorship)

Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction [pdf] [bib]
Y. Luo, Y. Wong and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 5060-5069, Boston, USA, June 2015

Mouse Saliency - a New Method for Low-Cost Large-Scale Attentional Data Collection
M. Jiang*, S. Huang*, J. Duan* and Q. Zhao
Vision Sciences Society (VSS) Annual Meeting, St. Pete Beach, Florida, 2015

Attention in Low Resolution: Learning ProtoObject Representations with a Deep Network
C. Shen, X. Huang and Q. Zhao
Vision Sciences Society (VSS) Annual Meeting, St. Pete Beach, Florida, 2015

2014

Autism Spectrum Disorder, but not Amygdala Lesions, Impairs Social Attention in Visual Search [pdf] [bib]
S. Wang*, J. Xu*, M. Jiang, Q. Zhao, R. Hurlemann and R. Adolphs
Neuropsychologia, Volume 63, Pages 259-274, October 2014
(*Equal authorship)

Saliency in Crowd [pdf] [bib] [poster] [project webpage]
M. Jiang, J. Xu and Q. Zhao
Proceedings of the 13th European Conference on Computer Vision (ECCV), Volume 8695, Pages 17-32, Zürich, Switzerland, 2014

Webpage Saliency [pdf] [bib] [poster] [project webpage]
C. Shen and Q. Zhao
Proceedings of the 13th European Conference on Computer Vision (ECCV), Volume 8695, Pages 33-46, Zürich, Switzerland, 2014

Learning to Predict Eye Fixations for Semantic Contents Using Multi-layer Sparse Network [pdf] [bib] [project webpage]
C. Shen and Q. Zhao
Neurocomputing (Invited, Special Issue on Brain inspired models of cognitive memory), Volume 138, Pages 61-68, August 2014

Advances in Learning Visual Saliency: From Image Primitives to Semantic Contents [pdf] [bib]
Q. Zhao and C. Koch
Neural Computation, Neural Devices, and Neural Prosthesis, Springer New York, ISBN 978-1-4614-8151-5, Pages 336-360, April 2014

Attributes of Subtle Cues for Facilitating Visual Search in Augmented Reality [pdf] [bib] [project webpage]
W. Lu, B.L. Duh, S.K. Feiner and Q. Zhao
Transactions on Visualization and Computer Graphics (TVCG), Volume 20, Issue 3, Pages 404-412, March 2014

Weakly Supervised Photo Cropping
L. Zhang, M. Song, Y. Yang, Q. Zhao, C. Zhao and S. Nicu
IEEE Transactions on Multimedia (T-MM), Volume 16, Issue 1, Pages 94-107, January 2014

Predicting Human Gaze Beyond Pixels [pdf] [bib] [project webpage]
J. Xu, M. Jiang, S. Wang, M. Kankanhalli and Q. Zhao
Journal of Vision (JoV), Volume 14, Issue 1, Article 28, Pages 1-20, January 2014

Autism Spectrum Disorder, but not Amygdala Lesions, Impairs Social Attention in Visual Search
S. Wang, J. Xu, Q. Zhao and R. Adolphs
The Social & Affective Neuroscience Society (SANS) Conference, Denver, Colorado, 2014

Predicting Visual Awareness by Looking into Eye Fixations
C. Shen, D. Kong, S. Wang and Q. Zhao
Vision Sciences Society (VSS) Annual Meeting, St. Pete Beach, Florida, 2014

Where Do People Look at in Crowded Natural Scenes?
M. Jiang, J. Xu and Q. Zhao
Vision Sciences Society (VSS) Annual Meeting, St. Pete Beach, Florida, 2014

Spatial Distribution of Slow Involuntary Fixational Eye Movements is Related to the Occurrence of Microsaccades and Their Shapes
D. Sen, C. Shen, M. Kankanhalli, Z. Yang and Q. Zhao
Vision Sciences Society (VSS) Annual Meeting, St. Pete Beach, Florida, 2014

2013

Learning to Share Latent Tasks for Action Recognition [pdf] [bib] [project webpage]
Q. Zhou, G. Wang, K. Jia and Q. Zhao
IEEE International Conference on Computer Vision (ICCV), Pages 2264-2271, Sydney, Australia, 2013

Subtle Cueing for Visual Search in Head-Tracked Head Worn Displays [project webpage]
W. Lu, D. Feng, S.K. Feiner, Q. Zhao and B.L. Duh
International Symposium on Mixed and Augmented Reality (ISMAR), Adelaide, Australia, 2013

Leveraging Human Fixations in Sparse Coding: Learning a Discriminative Dictionary for Saliency Prediction [pdf] [bib]
M. Jiang, M. Song and Q. Zhao
IEEE International Conference on Systems, Man, and Cybernetics (SMC, Invited, Special Issue on Matrix and Tensor Analysis for Big Vision), Pages 2126-2133, Manchester, UK, 2013

Learning Saliency-Based Visual Attention: A Review [pdf] [bib]
Q. Zhao and C. Koch
Signal Processing (Invited, Special Issue on Machine Learning for Intelligent Image Processing), Volume 93, Issue 6, Pages 1401-1407, 2013

Probabilistic Graphlet Transfer for Photo Cropping [pdf] [bib]
L. Zhang, M. Song, Q. Zhao, X. Liu, J. Bu and C. Chen
IEEE Transactions on Image Processing (T-IP), Volume 22, Issue 2, Pages 802-815, 2013

2012

Learning High-Level Concepts by Training a Deep Network on Eye Fixations [pdf] [bib] [project webpage]
C. Shen, M. Song and Q. Zhao
Deep Learning and Unsupervised Feature Learning Workshop, in conjunction with NIPS, Lake Tahoe, USA, December 2012

Attribute-Restricted Latent Topic Model for Human Identity Recognition in Sparse Camera Network [pdf] [bib]
X. Liu, M. Song, Q. Zhao, D. Tao, C. Chen and J. Bu
Pattern Recognition (PR), Volume 45, Issue 12, Pages 4204-4213, December 2012

Learning Visual Saliency By Combining Feature Maps in a Nonlinear Manner Using AdaBoost [pdf] [bib]
Q. Zhao and C. Koch
Journal of Vision (JoV), Volume 12, Issue 6, Article 22, Pages 1-15, June 2012

2011 and before

Learning a Saliency Map Using Fixated Locations in Natural Scenes [pdf] [bib]
Q. Zhao and C. Koch
Journal of Vision (JoV), Volume 11, Issue 3, Article 9, Pages 1-15, March 2011

1/f Neural Noise Reduction and Spike Feature Extraction Using a Subset of Informative Samples [pdf] [bib]
Z. Yang, L. Hoang, Q. Zhao, E. Keefer and W. Liu
Annals of Biomedical Engineering (ABME), Volume 39, Issue 4, Pages 1264-1277, April 2011

Learning Visual Saliency [pdf] [bib]
Q. Zhao and C. Koch
Conference on Information Sciences and Systems (CISS Oral, Invited Session of Sensory Systems), Pages 1-6, Baltimore, USA, March 2011

Differential Earth Mover's Distance with Its Applications to Visual Tracking [pdf] [bib]
Q. Zhao, Z. Yang and H. Tao
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Volume 32, Issue 2, Pages 274-287, February 2010

Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording [pdf] [bib]
Z. Yang, Q. Zhao, E. Keefer and W. Liu
Advances in Neural Information Processing Systems (NIPS), Pages 2160-2168, Vancouver, B.C., Canada, 2010, MIT Press.

Spike Feature Extraction Using Informative Samples [pdf] [bib]
Z. Yang, Q. Zhao and W. Liu
Advances in Neural Information Processing Systems (NIPS Spotlight), Pages 1865-1872, Vancouver, B.C., Canada, 2009, MIT Press

Neural Signal Classification Using a Simplified Feature Set with Energy Based Nonparametric Clustering [pdf] [bib]
Z. Yang*, Q. Zhao* and W. Liu
Neurocomputing, Volume 73, Issue 1-3, Pages 412-422, December 2009
(*Equal authorship)

Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach [pdf] [bib]
Q. Zhao, Z. Yang, H. Tao and W. Liu
Asian Conference on Computer Vision (ACCV Oral, Best Paper Honorable Mention, 2/670), Xi'an, China, September 2009

Energy Based Evolving Mean Shift Algorithm for Neural Spike Classification [pdf] [bib]
Z. Yang, Q. Zhao and W. Liu
IEEE Engineering in Medicine and Biology Society (EMBC Oral), Pages 966-969, Minneapolis, USA, September 2009

Improving Spike Separation Using Waveform Derivative [pdf] [bib]
Z. Yang, Q. Zhao and W. Liu
Journal of Neural Engineering (JNE), Volume 6, Issue 4, July 2009

A Motion Observable Representation Using Color Correlogram and Its Applications to Tracking [pdf] [bib]
Q. Zhao and H. Tao
Computer Vision and Image Understanding (CVIU), Volume 113, Issue 2, Pages 273-290, February 2009

Semantic Saliency Driven Camera Control for Personal Remote Collaboration [pdf] [bib]
C. Zhang, Z. Liu, Z. Zhang and Q. Zhao
Workshop on Multimedia Signal Processing (MMSP), Pages 28-33, Cairns, Queensland, Australia, October 2008

Motion Observability Analysis of the Simplified Color Correlogram for Visual Tracking [pdf] [bib]
Q. Zhao and H. Tao
Asian Conference on Computer Vision (ACCV Oral ), Volume 4843, Pages 345-354, Tokyo, Japan, November 2007

Differential EMD Tracking [pdf] [bib]
Q. Zhao, S. Brennan and H. Tao
IEEE International Conference on Computer Vision (ICCV Oral), Rio de Janeiro, Brazil, October 2007

Co-Tracking Using Semi-Supervised Support Vector Machines [pdf] [bib]
F. Tang, S. Brennan, Q. Zhao and H. Tao
IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, October 2007

Part Based Human Tracking in a Multiple Cue Fusion Framework [pdf] [bib]
Q. Zhao, J. Kang, H. Tao and W. Hua
International Conference on Pattern Recognition (ICPR), Volume 1, Pages 450-455, Hongkong, China, August 2006

An Efficient Method of Face Texture Mapping Directed to Portable Devices [bib]
M. Song, Q. Zhao, J. Bu and C. Chen
Journal of Computer Aided Design and Computer Graphics (JCAD/CG), Volume 17, Issue 12, Pages 2670-2675, 2005

Toward Talking Face on Portable Device - A Flexible and Realistic Approach [pdf] [bib]
Q. Zhao, J. Bu and M. Song
IEEE TENCON, Volume 1, Pages 587-590, Chiang Mai, Thailand, November 2004

Making Better Predictions Where People Look in Photos: Learning Feature Integration
Q. Zhao and C. Koch
Decade of the Mind VI, Singapore, 2010.

What is the Role of Attention in Adapting to Ensembles?
Q. Zhao, N. Tsuchiya, E. Li, S. Wang and C. Koch
Decade of the Mind VI, Singapore, 2010