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ORCIDQi Zhao 0001
Catherine Qi Zhao
Person information
- affiliation: University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA
- affiliation (2009-2011): California Institute of Technology, Division of Biology, CA, USA
- affiliation (PhD 2009): University of California, Santa Cruz (UCSC), CA, USA
Other persons with the same name
- Qi Zhao — disambiguation page
- Qi Zhao 0002 — University of California, Los Angeles, CA, USA
- Qi Zhao 0003
![[0000-0002-9412-4973]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9412-4973")
— North Carolina State University, NC, USA - Qi Zhao 0004 — Clausthal University of Technology, Germany
- Qi Zhao 0005 — Peking University, School of Electronics Engineering and Computer Science, Peking, Beijing, China
- Qi Zhao 0006 — AT&T Labs - Research, Florham Park, NJ, USA (and 1 more)
- Qi Zhao 0007 — University of California, San Diego, Computer Science and Engineering Department, CA, USA (and 1 more)
- Qi Zhao 0008 — Northeastern University, College of Medicine and Biological Information Engineering, Shenyang, China
- Qi Zhao 0009 — Sun Yat-Sen University, Cancer Center, Guangzhou, China
- Qi Zhao 0010 — University of Science and Technology Liaoning, School of Computer Science and Software Engineering, Anshan, China
- Qi Zhao 0011 — Karlsruhe Institute of Technology, Germany
- Qi Zhao 0012 — Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China (and 1 more)
- Qi Zhao 0013 — Nanjing University of Information Science and Technology, School of Automation, B-DAT, China
- Qi Zhao 0014 — University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more)
- Qi Zhao 0015 — Shandong University, School of Electrical Engineering, MoE Key Laboratory of Power System Intelligent Dispatch and Control, Jinan, China
- Qi Zhao 0016 — University of Macau, Faculty of Health Sciences, Institute of Translational Medicine, Taipa, Macau
- Qi Zhao 0017 — Beijing Normal University, Faculty of Geographical Science, State Key Laboratory of Remote Sensing Science, China (and 1 more)
- Qi Zhao 0018 — State Grid Shanghai Municipal Electric Power Company, Shanghai, China
- Qi Zhao 0019 — Beihua University, School of Civil Engineering and Transportation, Jilin City, China
- Qi Zhao 0020 — Shenyang Aerospace University, School of Computer Science, China
- Qi Zhao 0021 — Qingdao University of Science and Technology, School of Data Science, China (and 1 more)
- Qi Zhao 0022 — Anhui University of Science and Technology, School of Computer Science and Engineering, Huainan, China
- Qi Zhao 0023 — Shandong University, Institute of Geotechnical and Underground Engineering, Jinan, China
- Qi Zhao 0024 — Science and Technology on Communication Security Laboratory, Chengdu, China
- Qi Zhao 0025 — Shenyang Jianzhu University, School of Transportation Engineering, China
- Qi Zhao 0026 — State Grid Tianjin Electric Power Company, China
- Qi Zhao 0027 — Shandong Polytechnic College, China
- Qi Zhao 0028 — Guilin University of Electronic Technology, Guangxi Key Laboratory of Cryptography and Information Security, China
- Qi Zhao 0029 — North China University of Technology, Beijing Key lab of Urban Intelligent Control Technology, China
- Qi Zhao 0030 — Beijing Jiaotong University, Key Laboratory of All Optical Network and Advanced Telecommunication Network, China
- Qi Zhao 0031 — Shaanxi Branch of China Telecom Corporation Ltd, Xi'an, China
- Qi Zhao 0032 — State Grid Tianjin Electric Power Company, Electric Power Research Institute, Tianjin, China
- Qi Zhao 0033 — Changchun University of Science and Technology, School of Mathematics and Statistics, China
- Qi Zhao 0034 — State Grid Xinjiang Electric Power Company Ltd., Institute of Electric Power Science and Research, Ürümqi, China
- Qi Zhao 0035 — Liupanshui Normal University, School of Computer Science, China
- Qi Zhao 0036 — University of California, Santa Cruz (UCSC), School of Engineering, CA, USA
- Qi Zhao 0037 — Beihang University, Department of Electronics and Information Engineering, Beijing, China (and 2 more)
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2020 – today
- 2025
[j22]Binghao Liu, Qi Zhao, Chunlei Wang, Meng Li, Hongbo Xie, Lijiang Chen:
African water body segmentation with cross-layer information separability based feature decoupling transformer. Int. J. Appl. Earth Obs. Geoinformation 142: 104741 (2025)- [j21]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Gradients for Semi-Supervised Continual Learning. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2593-2607 (2025) - [i34]Hao He, Ceyuan Yang, Shanchuan Lin, Yinghao Xu, Meng Wei, Liangke Gui, Qi Zhao, Gordon Wetzstein, Lu Jiang, Hongsheng Li:
CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models. CoRR abs/2503.10592 (2025) - [i33]Jiaming Han, Hao Chen, Yang Zhao, Hanyu Wang, Qi Zhao, Ziyan Yang, Hao He, Xiangyu Yue, Lu Jiang:
Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations. CoRR abs/2506.18898 (2025) - [i32]Hanyu Wang, Jiaming Han, Ziyan Yang, Qi Zhao, Shanchuan Lin, Xiangyu Yue, Abhinav Shrivastava, Zhenheng Yang, Hao Chen:
Growing Visual Generative Capacity for Pre-Trained MLLMs. CoRR abs/2510.01546 (2025) - 2024
- [j20]Xianyu Chen, Jinhui Yang, Shi Chen, Louis Wang, Ming Jiang, Qi Zhao:
Every Problem, Every Step, All in Focus: Learning to Solve Vision-Language Problems With Integrated Attention. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4720-4735 (2024) - [j19]Shi Chen, Ming Jiang, Qi Zhao:
Deep Learning to Interpret Autism Spectrum Disorder Behind the Camera. IEEE Trans. Cogn. Dev. Syst. 16(5): 1803-1813 (2024) - [c53]Xianyu Chen, Ming Jiang, Qi Zhao:
Beyond Average: Individualized Visual Scanpath Prediction. CVPR 2024: 25420-25431 - [c52]Yifeng Zhang, Ming Jiang, Qi Zhao:
GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering. ECCV (17) 2024: 176-194 - [c51]Xianyu Chen, Ming Jiang, Qi Zhao:
GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths. ECCV (8) 2024: 314-333 - [c50]Yifeng Zhang, Ming Jiang, Qi Zhao:
Learning Chain of Counterfactual Thought for Bias-Robust Vision-Language Reasoning. ECCV (8) 2024: 334-351 - [i31]Xianyu Chen, Ming Jiang, Qi Zhao:
Beyond Average: Individualized Visual Scanpath Prediction. CoRR abs/2404.12235 (2024) - [i30]Xianyu Chen, Ming Jiang, Qi Zhao:
GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths. CoRR abs/2408.02788 (2024) - 2023
- [j18]Shaojing Fan, Zhiqi Shen, Ming Jiang, Bryan L. Koenig, Mohan S. Kankanhalli, Qi Zhao:
Emotional Attention: From Eye Tracking to Computational Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1682-1699 (2023) - [j17]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Minimize the Remainder in Supervised Learning. IEEE Trans. Multim. 25: 1738-1748 (2023) - [c49]Shi Chen, Qi Zhao:
Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning. CVPR 2023: 6736-6745 - [c48]Yifeng Zhang, Shi Chen, Qi Zhao:
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge. ICCV 2023: 2573-2583 - [c47]Shi Chen, Qi Zhao, Lei Zhang, Yan Wang:
A Fully Integrated W-Band Four-Channel Silicon-Based Radiometer Array in 65-nm CMOS. ISCAS 2023: 1-4 - [c46]Shi Chen, Ming Jiang, Qi Zhao:
What Do Deep Saliency Models Learn about Visual Attention? NeurIPS 2023 - [i29]Shi Chen, Qi Zhao:
Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning. CoRR abs/2303.10482 (2023) - [i28]Shi Chen, Ming Jiang, Qi Zhao:
What Do Deep Saliency Models Learn about Visual Attention? CoRR abs/2310.09679 (2023) - 2022
- [j16]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
Attention in Reasoning: Dataset, Analysis, and Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7310-7326 (2022) - [j15]Diu Khue Luu, Anh Tuan Nguyen, Ming Jiang, Markus W. Drealan, Jian Xu, Tong Wu, Wing-Kin Tam, Wenfeng Zhao, Brian Z. H. Lim, Cynthia K. Overstreet, Qi Zhao, Jonathan Cheng, Edward W. Keefer, Zhi Yang:
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface. IEEE Trans. Biomed. Eng. 69(10): 3051-3063 (2022) - [c45]Yifeng Zhang, Ming Jiang, Qi Zhao:
Query and Attention Augmentation for Knowledge-Based Explainable Reasoning. CVPR 2022: 15555-15564 - [c44]Shi Chen, Qi Zhao:
REX: Reasoning-aware and Grounded Explanation. CVPR 2022: 15565-15574 - [c43]Jinhui Yang, Xianyu Chen, Ming Jiang, Shi Chen, Louis Wang, Qi Zhao:
VisualHow: Multimodal Problem Solving. CVPR 2022: 15606-15616 - [c42]Yifeng Zhang, Ming Jiang, Qi Zhao:
New Datasets and Models for Contextual Reasoning in Visual Dialog. ECCV (36) 2022: 434-451 - [i27]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Minimize the Remainder in Supervised Learning. CoRR abs/2201.09193 (2022) - [i26]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Gradients for Semi-Supervised Continual Learning. CoRR abs/2201.09196 (2022) - [i25]Shi Chen, Qi Zhao:
REX: Reasoning-aware and Grounded Explanation. CoRR abs/2203.06107 (2022) - [i24]Diu Khue Luu, Anh Tuan Nguyen, Ming Jiang, Markus W. Drealan, Jian Xu, Tong Wu, Wing-Kin Tam, Wenfeng Zhao, Brian Z. H. Lim, Cynthia K. Overstreet, Qi Zhao, Jonathan Cheng, Edward W. Keefer, Zhi Yang:
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface. CoRR abs/2203.08648 (2022) - [i23]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
Attention in Reasoning: Dataset, Analysis, and Modeling. CoRR abs/2204.09774 (2022) - 2021
- [j14]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Direction Concentration Learning: Enhancing Congruency in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1928-1946 (2021) - [c41]Shi Chen, Qi Zhao:
Attention to Action: Leveraging Attention for Object Navigation. BMVC 2021: 295 - [c40]Yifeng Zhang, Ming Jiang, Qi Zhao:
Explicit Knowledge Incorporation for Visual Reasoning. CVPR 2021: 1356-1365 - [c39]Xianyu Chen, Ming Jiang, Qi Zhao:
Predicting Human Scanpaths in Visual Question Answering. CVPR 2021: 10876-10885 - [c38]Xianyu Chen, Ming Jiang, Qi Zhao:
Leveraging Human Attention in Novel Object Captioning. IJCAI 2021: 622-628 - [c37]Teddy Furon, Jingen Liu, Yogesh S. Rawat, Wei Zhang, Qi Zhao:
Trustworthy AI'21: 1st International Workshop on Trustworthy AI for Multimedia Computing. ACM Multimedia 2021: 5708-5709 - [c36]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Trustworthiness with Steep Slope Loss. NeurIPS 2021: 21533-21544 - [c35]Yifeng Zhang, Ming Jiang, Qi Zhao:
Saliency Prediction with External Knowledge. WACV 2021: 484-493 - [c34]Xianyu Chen, Ming Jiang, Qi Zhao:
Self-Distillation for Few-Shot Image Captioning. WACV 2021: 545-555 - [e1]Teddy Furon, Jingen Liu, Yogesh S. Rawat, Wei Zhang, Qi Zhao:
Trustworthy AI'21: Proceedings of the 1st International Workshop on Trustworthy AI for Multimedia Computing, Virtual Event, China, 24 October 2021. ACM 2021, ISBN 978-1-4503-8674-6 [contents] - [i22]Anh Tuan Nguyen, Markus W. Drealan, Diu Khue Luu, Ming Jiang, Jian Xu, Jonathan Cheng, Qi Zhao, Edward W. Keefer, Zhi Yang:
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control. CoRR abs/2103.13452 (2021) - [i21]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Trustworthiness with Steep Slope Loss. CoRR abs/2110.00054 (2021) - 2020
- [j13]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Visual Social Relationship Recognition. Int. J. Comput. Vis. 128(6): 1750-1764 (2020) - [j12]Haoran Liang, Ming Jiang, Ronghua Liang, Qi Zhao:
A structure-guided approach to the prediction of natural image saliency. Neurocomputing 378: 441-454 (2020) - [j11]Shaojing Fan, Bryan L. Koenig, Qi Zhao, Mohan S. Kankanhalli:
A Deeper Look at Human Visual Perception of Images. SN Comput. Sci. 1(1): 58 (2020) - [j10]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Video Storytelling: Textual Summaries for Events. IEEE Trans. Multim. 22(2): 554-565 (2020) - [j9]Bingjie Xu, Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Interact as You Intend: Intention-Driven Human-Object Interaction Detection. IEEE Trans. Multim. 22(6): 1423-1432 (2020) - [j8]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
G-Softmax: Improving Intraclass Compactness and Interclass Separability of Features. IEEE Trans. Neural Networks Learn. Syst. 31(2): 685-699 (2020) - [c33]Ming Jiang, Shi Chen, Jinhui Yang, Qi Zhao:
Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention. CVPR 2020: 2977-2986 - [c32]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
AiR: Attention with Reasoning Capability. ECCV (1) 2020: 91-107 - [c31]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
n-Reference Transfer Learning for Saliency Prediction. ECCV (8) 2020: 502-519 - [c30]Ming Jiang, Sunday M. Francis, Angela Tseng, Diksha Srishyla, Megan DuBois, Katie Beard, Christine Conelea, Qi Zhao, Suma Jacob:
Predicting Core Characteristics of ASD Through Facial Emotion Recognition and Eye Tracking in Youth. EMBC 2020: 871-875 - [c29]Junnan Li, Ziwei Xu, Yongkang Wang, Qi Zhao, Mohan S. Kankanhalli:
GradMix: Multi-source Transfer across Domains and Tasks. WACV 2020: 3008-3016 - [i20]Junnan Li, Ziwei Xu, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
GradMix: Multi-source Transfer across Domains and Tasks. CoRR abs/2002.03264 (2020) - [i19]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
n-Reference Transfer Learning for Saliency Prediction. CoRR abs/2007.05104 (2020) - [i18]Xianyu Chen, Ming Jiang, Qi Zhao:
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection. CoRR abs/2007.12104 (2020) - [i17]Yifeng Zhang, Ming Jiang, Qi Zhao:
Saliency Prediction with External Knowledge. CoRR abs/2007.13839 (2020) - [i16]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
AiR: Attention with Reasoning Capability. CoRR abs/2007.14419 (2020)
2010 – 2019
- 2019
- [j7]Anh Tuan Nguyen, Jian Xu, Diu Khue Luu, Qi Zhao, Zhi Yang:
Advancing System Performance with Redundancy: From Biological to Artificial Designs. Neural Comput. 31(3) (2019) - [j6]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Anticipating Where People will Look Using Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1783-1796 (2019) - [j5]Shi Chen, Qi Zhao:
Shallowing Deep Networks: Layer-Wise Pruning Based on Feature Representations. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 3048-3056 (2019) - [j4]Haoran Liang, Ming Jiang, Ronghua Liang, Qi Zhao:
CapVis: Toward Better Understanding of Visual-Verbal Saliency Consistency. ACM Trans. Intell. Syst. Technol. 10(1): 10:1-10:23 (2019) - [c28]Wenfeng Zhao, Tong Wu, Jian Xu, Qi Zhao, Zhi Yang:
Block-Sparse Modeling for Compressed Sensing of Neural Action Potentials and Local Field Potentials. ACSSC 2019: 2097-2100 - [c27]Yan Luo, Ming Jiang, Qi Zhao:
Visual Attention in Multi-Label Image Classification. CVPR Workshops 2019: 820-827 - [c26]Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, Mohan S. Kankanhalli:
Learning to Detect Human-Object Interactions With Knowledge. CVPR 2019: 2019-2028 - [c25]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Learning to Learn From Noisy Labeled Data. CVPR 2019: 5051-5059 - [c24]Ming Jiang, Sunday M. Francis, Diksha Srishyla, Christine Conelea, Qi Zhao, Suma Jacob:
Classifying Individuals with ASD Through Facial Emotion Recognition and Eye-Tracking. EMBC 2019: 6063-6068 - [c23]Shi Chen, Qi Zhao:
Attention-Based Autism Spectrum Disorder Screening With Privileged Modality. ICCV 2019: 1181-1190 - [i15]Shi Chen, Qi Zhao:
Boosted Attention: Leveraging Human Attention for Image Captioning. CoRR abs/1904.00767 (2019) - [i14]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features. CoRR abs/1904.04317 (2019) - [i13]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Direction Concentration Learning: Enhancing Congruency in Machine Learning. CoRR abs/1912.08136 (2019) - 2018
- [j3]Shaojing Fan, Tian-Tsong Ng, Bryan L. Koenig, Jonathan S. Herberg, Ming Jiang, Zhiqi Shen, Qi Zhao:
Image Visual Realism: From Human Perception to Machine Computation. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2180-2193 (2018) - [c22]Shaojing Fan, Zhiqi Shen, Ming Jiang, Bryan L. Koenig, Juan Xu, Mohan S. Kankanhalli, Qi Zhao:
Emotional Attention: A Study of Image Sentiment and Visual Attention. CVPR 2018: 7521-7531 - [c21]Shi Chen, Qi Zhao:
Boosted Attention: Leveraging Human Attention for Image Captioning. ECCV (11) 2018: 72-88 - [c20]Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Egocentric Spatial Memory. IROS 2018: 137-144 - [c19]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Unsupervised Learning of View-invariant Action Representations. NeurIPS 2018: 1262-1272 - [i12]Anh Tuan Nguyen, Jian Xu, Diu Khue Luu, Qi Zhao, Zhi Yang:
Advancing System Performance with Redundancy: From Biological to Artificial Designs. CoRR abs/1802.05324 (2018) - [i11]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Video Storytelling. CoRR abs/1807.09418 (2018) - [i10]Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman:
Finding any Waldo: zero-shot invariant and efficient visual search. CoRR abs/1807.10587 (2018) - [i9]Mengmi Zhang, Jiashi Feng, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman:
What am I searching for? CoRR abs/1807.11926 (2018) - [i8]Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Egocentric Spatial Memory. CoRR abs/1807.11929 (2018) - [i7]Bingjie Xu, Junnan Li, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Interact as You Intend: Intention-Driven Human-Object Interaction Detection. CoRR abs/1808.09796 (2018) - [i6]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Unsupervised Learning of View-invariant Action Representations. CoRR abs/1809.01844 (2018) - [i5]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Learning to Learn from Noisy Labeled Data. CoRR abs/1812.05214 (2018) - [i4]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Visual Social Relationship Recognition. CoRR abs/1812.05917 (2018) - 2017
- [c18]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks. CVPR 2017: 3539-3548 - [c17]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Dual-Glance Model for Deciphering Social Relationships. ICCV 2017: 2669-2678 - [c16]Ming Jiang, Qi Zhao:
Learning Visual Attention to Identify People with Autism Spectrum Disorder. ICCV 2017: 3287-3296 - [c15]Keng Teck Ma, Liyuan Li, Peilun Dai, Joo-Hwee Lim, Chengyao Shen, Qi Zhao:
Multi-layer linear model for top-down modulation of visual attention in natural egocentric vision. ICIP 2017: 3470-3474 - [c14]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao:
Foveated neural network: Gaze prediction on egocentric videos. ICIP 2017: 3720-3724 - [c13]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Attention Transfer from Web Images for Video Recognition. ACM Multimedia 2017: 1-9 - [c12]Shaojing Fan, Ming Jiang, Zhiqi Shen, Bryan L. Koenig, Mohan S. Kankanhalli, Qi Zhao:
The Role of Visual Attention in Sentiment Prediction. ACM Multimedia 2017: 217-225 - [c11]Marie D. Manner, Ming Jiang, Qi Zhao, Maria L. Gini, Jed T. Elison:
Determining child orientation from overhead video: A multiple kernel learning approach. SMC 2017: 3477-3482 - [c10]Haoran Liang, Ming Jiang, Ronghua Liang, Qi Zhao:
Saliency prediction with scene structural guidance. SMC 2017: 3483-3488 - [c9]Haoran Liang, Ming Jiang, Ronghua Liang, Qi Zhao:
Visual-verbal consistency of image saliency. SMC 2017: 3489-3494 - [i3]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Dual-Glance Model for Deciphering Social Relationships. CoRR abs/1708.00634 (2017) - [i2]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Attention Transfer from Web Images for Video Recognition. CoRR abs/1708.00973 (2017) - 2016
- [j2]Ming Jiang, Xavier Boix, Gemma Roig, Juan Xu, Luc Van Gool, Qi Zhao:
Learning to Predict Sequences of Human Visual Fixations. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1241-1252 (2016) - [c8]Shaojing Fan, Tian-Tsong Ng, Bryan L. Koenig, Ming Jiang, Qi Zhao:
A Paradigm for Building Generalized Models of Human Image Perception through Data Fusion. CVPR 2016: 5762-5771 - 2015
- [j1]Yan Luo, Ming Jiang, Yongkang Wong, Qi Zhao:
Multi-Camera Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2057-2070 (2015) - [c7]Ming Jiang, Xavier Boix, Juan Xu, Gemma Roig, Luc Van Gool, Qi Zhao:
Saliency Prediction with Active Semantic Segmentation. BMVC 2015: 15.1-15.13 - [c6]Ming Jiang, Shengsheng Huang, Juanyong Duan, Qi Zhao:
SALICON: Saliency in Context. CVPR 2015: 1072-1080 - [c5]Yan Luo, Yongkang Wong, Qi Zhao:
Label Consistent Quadratic Surrogate model for visual saliency prediction. CVPR 2015: 5060-5069 - [c4]Xun Huang, Chengyao Shen, Xavier Boix, Qi Zhao:
SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks. ICCV 2015: 262-270 - [i1]Yan Luo, Xavier Boix, Gemma Roig, Tomaso A. Poggio, Qi Zhao:
Foveation-based Mechanisms Alleviate Adversarial Examples. CoRR abs/1511.06292 (2015) - 2014
- [c3]Ming Jiang, Juan Xu, Qi Zhao:
Saliency in Crowd. ECCV (7) 2014: 17-32 - 2013
- [c2]Ming Jiang, Mingli Song, Qi Zhao:
Leveraging Human Fixations in Sparse Coding: Learning a Discriminative Dictionary for Saliency Prediction. SMC 2013: 2126-2133
2000 – 2009
- 2009
- [c1]Zhi Yang, Qi Zhao, Edward W. Keefer, Wentai Liu:
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording. NIPS 2009: 2160-2168
Coauthor Index
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