GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths
[pdf]
[bib]
X. Chen, M. Jiang, and Q. Zhao
European Conference on Computer Vision (ECCV),
September 2024 (Oral)
GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering
[pdf]
[bib]
Y. Zhang, M. Jiang, and Q. Zhao
European Conference on Computer Vision (ECCV),
September 2024
Learning Chain of Counterfactual Thought for Bias-Robust Vision-Language Reasoning
[pdf]
[bib]
Y. Zhang, M. Jiang, and Q. Zhao
European Conference on Computer Vision (ECCV),
September 2024
EMGCipher: Decoding Electromyography for Upper-Limb Gesture Classification with Explainable AI for Resource Optimization
[pdf]
[bib]
H. Lee, M. Jiang, and Q. Zhao
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
July 2024
FedAssist: Federated Learning in AI-Powered Prosthetics for Sustainable and Collaborative Learning
[pdf]
[bib]
H. Lee, M. Jiang, and Q. Zhao
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
July 2024
Beyond Average: Individualized Visual Scanpath Prediction
[pdf]
[bib]
X. Chen, M. Jiang, and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
June 2024
Unveiling EMG Semantics: A Prototype-Learning Approach to Generalizable Gesture Classification
[pdf]
[bib]
H. Lee, M. Jiang, J. Yang, Z. Yang, and Q. Zhao
Journal of Neural Engineering (JNE),
May 2024
Deep Learning to Interpret Autism Spectrum Disorder Behind the Camera
[pdf]
[bib]
S. Chen, M. Jiang, and Q. Zhao
IEEE Transactions on Cognitive and Developmental Systems (TCDS),
April 2024
Learning to Predict Gradients for Semi-Supervised Continual Learning
[pdf]
[bib]
Y. Luo, Y. Wong, M. Kankanhalli and Q. Zhao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS),
February 2024
Every Problem, Every Step, All In Focus:
Learning to Solve Vision-Language Problems with Integrated Attention
[pdf]
[bib]
X. Chen, J. Yang, S. Chen, L. Wang, M. Jiang and Q. Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
What Do Deep Saliency Models Learn about Visual Attention?
[pdf]
[bib]
S. Chen, M. Jiang and Q. Zhao
Advances in Neural Information Processing Systems (NeurIPS),
December 2023
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge
[pdf]
[bib]
Y. Zhang, S. Chen and Q. Zhao
IEEE International Conference on Computer Vision (ICCV),
October 2023
Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning
[pdf]
[bib]
S. Chen and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
June 2023
New Datasets and Models for Contextual Reasoning in Visual Dialog
[pdf]
[bib]
Y. Zhang, M. Jiang and Q. Zhao
European Conference on Computer Vision (ECCV),
October 2022
REX: Reasoning-aware and Grounded Explanation
[pdf]
[bib]
[project page]
S. Chen and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
June 2022
VisualHow: Multimodal Problem Solving
[pdf]
[bib]
[project page]
J. Yang*, X. Chen*, M. Jiang, S. Chen, L. Wang and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
June 2022
(* Equal authorship)
Query and Attention Augmentation for Knowledge-Based Explainable Reasoning
[pdf]
[bib]
[project page]
Y. Zhang, M. Jiang and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
June 2022
Emotional Attention: From Eye Tracking to Computational Modeling
[pdf]
[bib]
S. Fan*, Z. Shen*, M. Jiang, B. Koenig, M. Kankanhalli and Q. Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
2022
(* Equal authorship)
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
[pdf]
[bib]
D. K. Luu*, A. T. Nguyen*, M. Jiang, M. W. Drealan, J. Xu, T. Wu, W.-K. Tam, W. Zhao, B. Lim, C. K. Overstreet, Q. Zhao, J. Cheng, E. Keefer and Z. Yang
IEEE Transactions on Biomedical Engineering (TBME),
2022
(* Equal authorship)
Learning to Minimize the Remainder in Supervised Learning
[pdf]
[bib]
Y. Luo, Y. Wong, M. Kankanhalli and Q. Zhao
IEEE Transactions on Multimedia (TMM),
2022
Learning to Predict Trustworthiness with Steep Slope Loss
[pdf]
[bib]
[project page]
Y. Luo, Y. Wong, M. Kankanhalli and Q. Zhao
Conference on Neural Information Processing Systems (NeurIPS),
December 2021
Attention to Action: Leveraging Attention for Object Navigation
[pdf]
[bib]
S. Chen and Q. Zhao
British Machine Vision Conference (BMVC),
November 2021
Attention in Reasoning: Dataset, Analysis, and Modeling
[pdf]
[bib]
S. Chen*, M. Jiang*, J. Yang and Q. Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
September 2021
(* Equal authorship)
Leveraging Human Attention in Novel Object Captioning
[pdf]
[bib]
X. Chen, M. Jiang and Q. Zhao
International Joint Conference on Artificial Intelligence (IJCAI),
August 2021
Explicit Knowledge Incorporation for Visual Reasoning
[pdf]
[bib]
[project page]
Y. Zhang*, M. Jiang* and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages 1356-1365,
June 2021
(* Equal authorship)
Predicting Human Scanpaths in Visual Question Answering
[pdf]
[bib]
[project page]
X. Chen, M. Jiang and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages 10876-10885,
June 2021
Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals
[pdf]
[bib]
D. K. Luu, A. T. Nguyen, M. Jiang, J. Xu, M. W. Drealan, J. Cheng, E. W. Keefer, Qi. Zhao and Z. Yang
Frontiers in Neuroscience, Volume 15, Pages 667907,
June 2021
Saliency Prediction with External Knowledge
[pdf]
[bib]
Y. Zhang, M. Jiang and Q. Zhao
Winter Conference on Applications of Computer Vision (WACV), Pages 484-493, January 2021
Self-Distillation for Few-Shot Image Captioning
[pdf]
[bib]
X. Chen, M. Jiang and Q. Zhao
Winter Conference on Applications of Computer Vision (WACV), Pages 545-555, January 2021
AiR: Attention with Reasoning Capability
[pdf]
[bib]
[project page]
S. Chen*, M. Jiang*, J. Yang and Q. Zhao
European Conference on Computer Vision (ECCV), Glasgow, UK, August 2020 (Oral)
(* Equal authorship)
n-Reference Transfer Learning for Saliency
Prediction
[pdf]
[bib]
Y. Luo, Y. Wong, M. Kankanhalli and Q. Zhao
European Conference on Computer Vision (ECCV), Glasgow, UK, August 2020
A Bioelectric Neural Interface Towards Intuitive Prosthetic Control for Amputees
[pdf]
[bib]
A. T. Nguyen, J. Xu, M. Jiang, D. K. Luu, T. Wu, W.-K. Tam, W. Zhao, M. W. Drealan, C. K. Overstreet, Q. Zhao, J. Cheng, E. Keefer and Z. Yang
Journal of Neural Engineering (JNE), Volume 17, Number 6, 2020
Predicting Core Characteristics of ASD through Facial Emotion Recognition and Eye Tracking in
Youth
[pdf]
[bib]
M. Jiang*, S. M. Francis*, A. Tseng, D. Srishyla, M. DuBois, K. Beard, C. Conelea, Q.
Zhao† and S. Jacob†
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
Montreal, Canada, July 2020
(*† Equal authorship)
Fantastic Answers and Where to Find Them: Immersive Question-Directed
Visual Attention
[pdf]
[bib]
[project page]
M. Jiang*, S. Chen*, J. Yang and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages 2980-2989, Seattle, USA,
June 2020
(* Equal authorship)
Direction Concentration Learning: Enhancing Congruency in Machine Learning
[pdf]
[bib]
[project page]
Y. Luo, Y. Wong, M. Kankanhalli and Q. Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Visual Social Relationship Recognition
[pdf]
[bib]
J. Li, Y. Wong, Q. Zhao and M. Kankanhalli
International Journal of Computer Vision (IJCV), Volume 128, Issue 6, Pages 1750-1764, 2020
GradMix: Multi-source Transfer across Domains and Tasks
[pdf]
[bib]
J. Li, Z Xu., Y. Wong, Q. Zhao and M. Kankanhalli
IEEE Winter Conference on Applications of Computer Vision (WACV), Pages 3019-3027, Snowmass Village,
USA, March 2020
Attention-Based Autism Spectrum Disorder Screening with Privileged Modality
[pdf]
[bib]
[project page]
S. Chen and Q. Zhao
IEEE International Conference on Computer Vision (ICCV), Pages 1181-1190, Seoul, South Korea,
October 2019
G-Softmax: Improving Intraclass Compactness and Interclass Separability of Features
[pdf]
[bib]
Y. Luo, Y. Wong, M. Kankanhalli and Q. Zhao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Volume 31, Issue 2, Pages
685-699, 2019
Classifying Individuals with ASD Through Facial Emotion Recognition and Eye-Tracking
[pdf]
[bib]
M. Jiang, S. M. Francis, D. Srishyla, C. Conelea, Q. Zhao* and S. Jacob*
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
Pages 6063-6068,
Berlin, Germany, July 2019 (Oral)
(* Equal authorship)
Ultra Rapid Object Categorization in Real World Scenes with Top Down Manipulations
[pdf]
[bib]
B. Xu, M. Kankanhalli and Q. Zhao
PloS One, Volume 14, Issue 4, Page e0214444, 2019
Learning to Learn from Noisy Labeled Data
[pdf]
[bib]
J. Li, Y. Wong, Q. Zhao and M. Kankanhalli
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages 5051-5059, Long Beach, USA,
June 2019
Learning to Detect Human-Object Interactions with Knowledge
[pdf]
[bib]
B. Xu, Y. Wong, J. Li, Q. Zhao and M. Kankanhalli
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages 2019-2028, Long Beach, USA,
June 2019
Visual Attention in Multi-Label Image Classification
[pdf]
[bib]
Y. Luo, M. Jiang and Q. Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, Long Beach, USA, June
2019
Machine Learning Accurately Classifies Age Of Toddlers Based On Eye Tracking
[pdf]
[bib]
K. Dalrymple*, M. Jiang*, Q. Zhao† and J. Elison†
Scientific Reports, Volume 9, Issue 1, Page 6255, 2019
(*† Equal authorship)
Video Storytelling: Textual Summaries for Events
[pdf]
[bib]
J. Li, Y. Wong, Q. Zhao and M. Kankanhalli
IEEE Transactions on Mutimedia (TMM), Volume 22, Issue 2, Pages 554-565, 2019
Interact as You Intend: Intention-Driven Human-Object Interaction Detection
[pdf]
[bib]
B. Xu, J. Li, Y. Wong, Q. Zhao and M. Kankanhalli
IEEE Transactions on Mutimedia (TMM), Volume 22, Issue 6, Pages 1423-1432, 2019
Human Motor Decoding from Neural Signals A Review
[pdf]
[bib]
W. Tam, T. Wu, Q. Zhao, E. Keefer and Z. Yang
BMC Biomedical Engineering (BBME), Pages 1-22, 2019
Advancing System Performance with Redundancy from Biological to Artificial Designs
[pdf]
[bib]
A. Nguyen, J. Xu, D. Luu, Q. Zhao and Z. Yang
Neural Computation, Volume 31, Issue 3, Pages 555-573, 2019. Featured on the
cover.
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), Volume 41, Issue 12, Pages
3048-3056, 2018
Anticipating Where People will Look Using Adversarial Networks
[pdf]
[bib]
M. Zhang, K. Ma, J. Lim, Q. Zhao and J. Feng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 41, Issue 8, Pages
1783-1796, 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), Pages 1254-1264, Montreal, Canada, 2018
Egocentric Spatial Memory
[pdf]
[bib]
M. Zhang, K. Ma, J. Lim, S. Yen, Q. Zhao and J. Feng
International Conference on Intelligent Robots and Systems (IROS), Pages 137-144, Madrid, Spain,
October 2018
Boosted Attention: Leveraging Human Attention for Image Captioning
[pdf]
[bib]
[project page]
S. Chen and Q. Zhao
European Conference on Computer Vision (ECCV), Pages 68-84, Munich, Germany, September 2018
Finding Any Waldo: Zero-Shot Invariant and Efficient Visual Search
[pdf]
[bib]
M. Zhang, J. Feng, K. Ma, J. Lim, Q. Zhao and G. Kreiman
Nature Communications, Volume 9, Issue 1, Page 3730, 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), Volume 10, Issue 1, Page 10, 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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages 7521-7531, Salt Lake City,
USA, June 2018 (Spotlight)
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
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), Pages 3267-3276, Venice, Italy, 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), Pages 2650-2659, Venice, Italy, 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), Volume 40, Issue 9, Pages
2180--2193, 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), Pages 217-225, Mountain View, USA, October 2017
Attention Transfer from Web Images for Video Recognition
[pdf]
[bib]
J. Li, Y. Wong, Q. Zhao and M. Kankanhalli
ACM Multimedia (ACMMM), Pages 1-9, Mountain View, USA, 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), Pages 3477-3482, Banff, Canada,
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), Pages 3720-3724, Beijing, China, 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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages 4372-4381, Honolulu, USA,
July 2017 (Oral)
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 2016
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
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
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 (TMM), 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
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), Pages 2126-2133, Manchester, UK, 2013 (Oral, Invited, Special Issue on
Matrix and Tensor Analysis for Big Vision)
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
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
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),
Pages 1-6, Baltimore, USA, March 2011 (Oral, Invited Session of Sensory Systems)
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), Pages 1865-1872, Vancouver,
B.C., Canada, 2009, MIT Press (Oral)
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), Xi'an,
China, September 2009 (Oral, Best Paper Honorable Mention, 2/670)
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), Pages 966-969, Minneapolis, USA,
September 2009 (Oral)
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), Volume 4843, Pages 345-354, Tokyo, Japan, November
2007 (Oral)
Differential EMD Tracking
[pdf]
[bib]
Q. Zhao, S. Brennan and H. Tao
IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, October 2007 (Oral)
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