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Ming Jiang 0019
Person information
- affiliation: University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA
- affiliation: National University of Singapore, Department of Electrical and Computer Engineering, Singapore
Other persons with the same name
- Ming Jiang — disambiguation page
- Ming Jiang 0001 — Peking University, Department of Information Science, School of Mathematics, Beijing, China
- Ming Jiang 0002 — Sun Yat-sen University, Guangzhou, China (and 2 more)
- Ming Jiang 0003 — Worcester Polytechnic Institute
- Ming Jiang 0004 — KLA Tencor, California, USA
- Ming Jiang 0005 — Lawrence Livermore National Laboratory (and 1 more)
- Ming Jiang 0006 — Polytechnic University, Brooklyn
- Ming Jiang 0007 — CCLRC, Council for the Central Laboratory of the Research Councils
- Ming Jiang 0008 — University of Victoria, Deptartment of Computer Science
- Ming Jiang 0009 — Hangzhou Dianzi University, Institute of Software and Intelligent Technology, China
- Ming Jiang 0011 — State Key Laboratory, Shanghai, Jiao Tong Univ.
- Ming Jiang 0012 — Southeast University, National Mobile Communications Research Laboratory, Nanjin, China
- Ming Jiang 0013 — Anhui Polytechnic University
- Ming Jiang 0014 — University of Science and Technology of China
- Ming Jiang 0015 — China Three Gorges University
- Ming Jiang 0016 — Shandong Jianzhu University, School of Management, Jinan, China
- Ming Jiang 0017 — Dalian University of Technology
- Ming Jiang 0018 — Indiana University-Purdue University Indianapolis, IN, USA (and 1 more)
- Ming Jiang 0020 — University of Sunderland, School of Computer Science, Faculty of Technology, UK (and 2 more)
- Ming Jiang 0021 — Pengcheng Lab, Shenzhen, China
- Ming Jiang 0022 — Fujian University of Technology, School of Internet Economics and Business, Fuzhou, China
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2020 – today
- 2024
- [j10]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) - [j9]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) - [c29]Xianyu Chen, Ming Jiang, Qi Zhao:
Beyond Average: Individualized Visual Scanpath Prediction. CVPR 2024: 25420-25431 - [c28]Yifeng Zhang, Ming Jiang, Qi Zhao:
GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering. ECCV (17) 2024: 176-194 - [c27]Xianyu Chen, Ming Jiang, Qi Zhao:
GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths. ECCV (8) 2024: 314-333 - [c26]Yifeng Zhang, Ming Jiang, Qi Zhao:
Learning Chain of Counterfactual Thought for Bias-Robust Vision-Language Reasoning. ECCV (8) 2024: 334-351 - [i9]Xianyu Chen, Ming Jiang, Qi Zhao:
Beyond Average: Individualized Visual Scanpath Prediction. CoRR abs/2404.12235 (2024) - [i8]Xianyu Chen, Ming Jiang, Qi Zhao:
GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths. CoRR abs/2408.02788 (2024) - 2023
- [j8]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) - [c25]Shi Chen, Ming Jiang, Qi Zhao:
What Do Deep Saliency Models Learn about Visual Attention? NeurIPS 2023 - [i7]Shi Chen, Ming Jiang, Qi Zhao:
What Do Deep Saliency Models Learn about Visual Attention? CoRR abs/2310.09679 (2023) - 2022
- [j7]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) - [j6]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) - [c24]Yifeng Zhang, Ming Jiang, Qi Zhao:
Query and Attention Augmentation for Knowledge-Based Explainable Reasoning. CVPR 2022: 15555-15564 - [c23]Jinhui Yang, Xianyu Chen, Ming Jiang, Shi Chen, Louis Wang, Qi Zhao:
VisualHow: Multimodal Problem Solving. CVPR 2022: 15606-15616 - [c22]Yifeng Zhang, Ming Jiang, Qi Zhao:
New Datasets and Models for Contextual Reasoning in Visual Dialog. ECCV (36) 2022: 434-451 - [i6]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) - [i5]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
Attention in Reasoning: Dataset, Analysis, and Modeling. CoRR abs/2204.09774 (2022) - 2021
- [c21]Yifeng Zhang, Ming Jiang, Qi Zhao:
Explicit Knowledge Incorporation for Visual Reasoning. CVPR 2021: 1356-1365 - [c20]Xianyu Chen, Ming Jiang, Qi Zhao:
Predicting Human Scanpaths in Visual Question Answering. CVPR 2021: 10876-10885 - [c19]Xianyu Chen, Ming Jiang, Qi Zhao:
Leveraging Human Attention in Novel Object Captioning. IJCAI 2021: 622-628 - [c18]Yifeng Zhang, Ming Jiang, Qi Zhao:
Saliency Prediction with External Knowledge. WACV 2021: 484-493 - [c17]Xianyu Chen, Ming Jiang, Qi Zhao:
Self-Distillation for Few-Shot Image Captioning. WACV 2021: 545-555 - [i4]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) - 2020
- [j5]Haoran Liang, Ming Jiang, Ronghua Liang, Qi Zhao:
A structure-guided approach to the prediction of natural image saliency. Neurocomputing 378: 441-454 (2020) - [c16]Ming Jiang, Shi Chen, Jinhui Yang, Qi Zhao:
Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention. CVPR 2020: 2977-2986 - [c15]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
AiR: Attention with Reasoning Capability. ECCV (1) 2020: 91-107 - [c14]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 - [i3]Xianyu Chen, Ming Jiang, Qi Zhao:
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection. CoRR abs/2007.12104 (2020) - [i2]Yifeng Zhang, Ming Jiang, Qi Zhao:
Saliency Prediction with External Knowledge. CoRR abs/2007.13839 (2020) - [i1]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
AiR: Attention with Reasoning Capability. CoRR abs/2007.14419 (2020)
2010 – 2019
- 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) - [c13]Yan Luo, Ming Jiang, Qi Zhao:
Visual Attention in Multi-Label Image Classification. CVPR Workshops 2019: 820-827 - [c12]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 - 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) - [c11]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 - 2017
- [c10]Ming Jiang, Qi Zhao:
Learning Visual Attention to Identify People with Autism Spectrum Disorder. ICCV 2017: 3287-3296 - [c9]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 - [c8]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 - [c7]Haoran Liang, Ming Jiang, Ronghua Liang, Qi Zhao:
Saliency prediction with scene structural guidance. SMC 2017: 3483-3488 - [c6]Haoran Liang, Ming Jiang, Ronghua Liang, Qi Zhao:
Visual-verbal consistency of image saliency. SMC 2017: 3489-3494 - 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) - [c5]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) - [c4]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 - [c3]Ming Jiang, Shengsheng Huang, Juanyong Duan, Qi Zhao:
SALICON: Saliency in Context. CVPR 2015: 1072-1080 - 2014
- [c2]Ming Jiang, Juan Xu, Qi Zhao:
Saliency in Crowd. ECCV (7) 2014: 17-32 - 2013
- [c1]Ming Jiang, Mingli Song, Qi Zhao:
Leveraging Human Fixations in Sparse Coding: Learning a Discriminative Dictionary for Saliency Prediction. SMC 2013: 2126-2133
Coauthor Index
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last updated on 2024-12-10 20:52 CET by the dblp team
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