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ORCIDQi Zhao 0001
Catherine Qi Zhao
Person information
- affiliation: University of Minnesota, Department of Computer Science & Engineering, Minneapolis, MN, 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.dagstuhl.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)
2020 – today
- 2025
[j46]Chunlei Wang, Wenquan Feng, Shuchang Lyu, Guangliang Cheng, Xiangtai Li, Binghao Liu, Qi Zhao:
A Masked Reference Token Supervision-Based Iterative Visual-Language Framework for Robust Visual Grounding. IEEE Trans. Circuits Syst. Video Technol. 35(1): 75-90 (2025)- [j45]Shuchang Lyu, Qi Zhao, Yaxuan Sun, Guangliang Cheng, Yiwei He, Guangbiao Wang, Jinchang Ren, Zhenwei Shi:
Unsupervised Domain Adaptation for VHR Urban Scene Segmentation via Prompted Foundation Model-Based Hybrid Training Joint-Optimized Network. IEEE Trans. Geosci. Remote. Sens. 63: 1-17 (2025) - [j44]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) - [i51]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) - [i50]Muyi Bao, Shuchang Lyu, Zhaoyang Xu, Qi Zhao, Changyu Zeng, Wenpei Bai, Guangliang Cheng:
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion Segmentation. CoRR abs/2503.19427 (2025) - [i49]Team Seawead, Ceyuan Yang, Zhijie Lin, Yang Zhao, Shanchuan Lin, Zhibei Ma, Haoyuan Guo, Hao Chen, Lu Qi, Sen Wang, Feng Cheng, Feilong Zuo, Xuejiao Zeng, Ziyan Yang, Fangyuan Kong, Zhiwu Qing, Fei Xiao, Meng Wei, Tuyen Hoang, Siyu Zhang, Peihao Zhu, Qi Zhao, Jiangqiao Yan, Liangke Gui, Sheng Bi, Jiashi Li, Yuxi Ren, Rui Wang, Huixia Li, Xuefeng Xiao, Shu Liu, Feng Ling, Heng Zhang, Houmin Wei, Huafeng Kuang, Jerry Duncan, Junda Zhang, Junru Zheng, Li Sun, Manlin Zhang, Renfei Sun, Xiaobin Zhuang, Xiaojie Li, Xin Xia, Xuyan Chi, Yanghua Peng, Yuping Wang, Yuxuan Wang, Zhongkai Zhao, Zhuo Chen, Zuquan Song, Zhenheng Yang, Jiashi Feng, Jianchao Yang, Lu Jiang:
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model. CoRR abs/2504.08685 (2025) - 2024
- [j43]Qi Zhao, Shuchang Lyu, Hongbo Zhao, Binghao Liu, Lijiang Chen, Guangliang Cheng:
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation. Int. J. Appl. Earth Obs. Geoinformation 127: 103646 (2024) - [j42]Chunlei Wang, Wenquan Feng, Xiangtai Li, Guangliang Cheng, Shuchang Lyu, Binghao Liu, Lijiang Chen, Qi Zhao:
OV-VG: A benchmark for open-vocabulary visual grounding. Neurocomputing 591: 127738 (2024) - [j41]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) - [j40]Guangliang Cheng, Yunmeng Huang, Xiangtai Li, Shuchang Lyu, Zhaoyang Xu, Hongbo Zhao, Qi Zhao, Shiming Xiang:
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review. Remote. Sens. 16(13): 2355 (2024) - [j39]Qi Zhao, Binghao Liu, Shuchang Lyu, Huojin Chen:
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation. IEEE Trans. Cogn. Dev. Syst. 16(1): 177-189 (2024) - [j38]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) - [j37]Guangbiao Wang, Hongbo Zhao, Shuchang Lyu, Guangliang Cheng, Qing Chang, Wenquan Feng, Qi Zhao, Zhenwei Shi:
SWIN-TOD: Smooth Wasserstein Distance and Instance-Level Neighboring Enhancement for Remote Sensing Tiny Object Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [c68]Xianyu Chen, Ming Jiang, Qi Zhao:
Beyond Average: Individualized Visual Scanpath Prediction. CVPR 2024: 25420-25431 - [c67]Yifeng Zhang, Ming Jiang, Qi Zhao:
GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering. ECCV (17) 2024: 176-194 - [c66]Xianyu Chen, Ming Jiang, Qi Zhao:
GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths. ECCV (8) 2024: 314-333 - [c65]Yifeng Zhang, Ming Jiang, Qi Zhao:
Learning Chain of Counterfactual Thought for Bias-Robust Vision-Language Reasoning. ECCV (8) 2024: 334-351 - [c64]Changming Zou, Hongbo Zhao, Liwei Geng, Qi Zhao, Dawei Wang:
Optimization for Efficient Federated Learning: Joint Scheduling in Vehicular Edge Computing Networks. GLOBECOM 2024: 3944-3949 - [c63]Hongbo Zhao, Ruimin Ren, Shuchang Lyu, Binghao Liu, Chunlei Wang, Meng Li, Guangliang Cheng, Qi Zhao:
Self-Training and Curriculum Learning Guided Dynamic Refined Network for Remote Sensing Class-Incremental Semantic Segmentation. IGARSS 2024: 8334-8338 - [c62]Meng Li, Qi Zhao, Shuchang Lyu, Chunlei Wang, Yujing Ma, Guangliang Cheng, Chenguang Yang:
OVGNet: A Unified Visual-Linguistic Framework for Open-Vocabulary Robotic Grasping. IROS 2024: 7507-7513 - [i48]Xianyu Chen, Ming Jiang, Qi Zhao:
Beyond Average: Individualized Visual Scanpath Prediction. CoRR abs/2404.12235 (2024) - [i47]Zheng Zhou, Hongbo Zhao, Guangliang Cheng, Xiangtai Li, Shuchang Lyu, Wenquan Feng, Qi Zhao:
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation. CoRR abs/2406.01112 (2024) - [i46]Meng Li, Qi Zhao, Shuchang Lyu, Chunlei Wang, Yujing Ma, Guangliang Cheng, Chenguang Yang:
OVGNet: A Unified Visual-Linguistic Framework for Open-Vocabulary Robotic Grasping. CoRR abs/2407.13175 (2024) - [i45]Xianyu Chen, Ming Jiang, Qi Zhao:
GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths. CoRR abs/2408.02788 (2024) - [i44]Shuchang Lyu, Qi Zhao, Guangliang Cheng, Yiwei He, Zheng Zhou, Guangbiao Wang, Zhenwei Shi:
Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model. CoRR abs/2411.05878 (2024) - [i43]Zheng Zhou, Wenquan Feng, Shuchang Lyu, Guangliang Cheng, Xiaowei Huang, Qi Zhao:
BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation. CoRR abs/2411.09265 (2024) - 2023
- [j36]Yuewen Li, Wenquan Feng, Shuchang Lyu, Qi Zhao:
Feature reconstruction and metric based network for few-shot object detection. Comput. Vis. Image Underst. 227: 103600 (2023) - [j35]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) - [j34]Qi Zhao, Binghao Liu, Shuchang Lyu, Chunlei Wang, Hong Zhang:
TPH-YOLOv5++: Boosting Object Detection on Drone-Captured Scenarios with Cross-Layer Asymmetric Transformer. Remote. Sens. 15(6): 1687 (2023) - [j33]Qi Zhao, Shuchang Lyu, Lijiang Chen, Binghao Liu, Ting-Bing Xu, Guangliang Cheng, Wenquan Feng:
Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6661-6678 (2023) - [j32]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Minimize the Remainder in Supervised Learning. IEEE Trans. Multim. 25: 1738-1748 (2023) - [j31]Qi Zhao, Shuchang Lyu, Yuewen Li, Yujing Ma, Lijiang Chen:
MGML: Multigranularity Multilevel Feature Ensemble Network for Remote Sensing Scene Classification. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2308-2322 (2023) - [c61]Shi Chen, Qi Zhao:
Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning. CVPR 2023: 6736-6745 - [c60]Yifeng Zhang, Shi Chen, Qi Zhao:
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge. ICCV 2023: 2573-2583 - [c59]Chenxu Guo, Qi Zhao, Shuchang Lyu, Binghao Liu, Chunlei Wang, Lijiang Chen, Guangliang Cheng:
Decision Boundary Optimization for Few-shot Class-Incremental Learning. ICCV (Workshops) 2023: 3493-3503 - [c58]Menghao Li, Chunlei Wang, Wenquan Feng, Shuchang Lyu, Guangliang Cheng, Xiangtai Li, Binghao Liu, Qi Zhao:
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision. ICCV (Workshops) 2023: 4653-4658 - [c57]Qi Zhao, Binghao Liu, Shuchang Lyu, Chunlei Wang, Yifan Yang:
Enhancing Spatial Consistency and Class-Level Diversity for Segmenting Fine-Grained Objects. ICONIP (11) 2023: 292-304 - [c56]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 - [c55]Shi Chen, Ming Jiang, Qi Zhao:
What Do Deep Saliency Models Learn about Visual Attention? NeurIPS 2023 - [i42]Qi Zhao, Shuchang Lyu, Binghao Liu, Lijiang Chen, Hongbo Zhao:
Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation. CoRR abs/2301.05526 (2023) - [i41]Shi Chen, Qi Zhao:
Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning. CoRR abs/2303.10482 (2023) - [i40]Guangliang Cheng, Yunmeng Huang, Xiangtai Li, Shuchang Lyu, Zhaoyang Xu, Qi Zhao, Shiming Xiang:
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review. CoRR abs/2305.05813 (2023) - [i39]Menghao Li, Chunlei Wang, Wenquan Feng, Shuchang Lyu, Guangliang Cheng, Xiangtai Li, Binghao Liu, Qi Zhao:
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision. CoRR abs/2307.12392 (2023) - [i38]Shi Chen, Ming Jiang, Qi Zhao:
What Do Deep Saliency Models Learn about Visual Attention? CoRR abs/2310.09679 (2023) - [i37]Chunlei Wang, Wenquan Feng, Xiangtai Li, Guangliang Cheng, Shuchang Lyu, Binghao Liu, Lijiang Chen, Qi Zhao:
OV-VG: A Benchmark for Open-Vocabulary Visual Grounding. CoRR abs/2310.14374 (2023) - 2022
- [j30]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) - [j29]Qi Zhao, Xu Wang, Shuchang Lyu, Binghao Liu, Yifan Yang:
A feature consistency driven attention erasing network for fine-grained image retrieval. Pattern Recognit. 128: 108618 (2022) - [j28]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) - [j27]Qi Zhao, Jiahui Liu, Yuewen Li, Hong Zhang:
Semantic Segmentation With Attention Mechanism for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j26]Qi Zhao, Yujing Ma, Shuchang Lyu, Lijiang Chen:
Embedded Self-Distillation in Compact Multibranch Ensemble Network for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c54]Yifeng Zhang, Ming Jiang, Qi Zhao:
Query and Attention Augmentation for Knowledge-Based Explainable Reasoning. CVPR 2022: 15555-15564 - [c53]Shi Chen, Qi Zhao:
REX: Reasoning-aware and Grounded Explanation. CVPR 2022: 15565-15574 - [c52]Jinhui Yang, Xianyu Chen, Ming Jiang, Shi Chen, Louis Wang, Qi Zhao:
VisualHow: Multimodal Problem Solving. CVPR 2022: 15606-15616 - [c51]Yifeng Zhang, Ming Jiang, Qi Zhao:
New Datasets and Models for Contextual Reasoning in Visual Dialog. ECCV (36) 2022: 434-451 - [c50]Shuchang Lyu, Binghao Liu, Lijiang Chen, Qi Zhao:
A Similarity Distillation Guided Feature Refinement Network for Few-Shot Semantic Segmentation. ICIP 2022: 666-670 - [c49]Linghan Cai, Meijing Wu, Lijiang Chen, Wenpei Bai, Min Yang, Shuchang Lyu, Qi Zhao:
Using Guided Self-Attention with Local Information for Polyp Segmentation. MICCAI (4) 2022: 629-638 - [c48]Yuewen Li, Binghao Liu, Shuchang Lyu, Lijiang Chen, Qi Zhao, Wenquan Feng:
ML-FDA: Meta-Learning via Feature Distribution Alignment for Few-Shot Learning. VCIP 2022: 1-5 - [i36]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Minimize the Remainder in Supervised Learning. CoRR abs/2201.09193 (2022) - [i35]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Gradients for Semi-Supervised Continual Learning. CoRR abs/2201.09196 (2022) - [i34]Shi Chen, Qi Zhao:
REX: Reasoning-aware and Grounded Explanation. CoRR abs/2203.06107 (2022) - [i33]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) - [i32]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
Attention in Reasoning: Dataset, Analysis, and Modeling. CoRR abs/2204.09774 (2022) - [i31]Qi Zhao, Shuchang Lyu, Wenpei Bai, Linghan Cai, Binghao Liu, Meijing Wu, Xiubo Sang, Min Yang, Lijiang Chen:
A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation. CoRR abs/2207.06799 (2022) - [i30]Menghao Li, Wenquan Feng, Shuchang Lyu, Lijiang Chen, Qi Zhao:
Look in Different Views: Multi-Scheme Regression Guided Cell Instance Segmentation. CoRR abs/2208.08078 (2022) - 2021
- [j25]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) - [c47]Shuchang Lyu, Qi Zhao, Yujing Ma, Lijiang Chen:
Make Baseline Model Stronger: Embedded Knowledge Distillation in Weight-Sharing Based Ensemble Network. BMVC 2021: 23 - [c46]Shi Chen, Qi Zhao:
Attention to Action: Leveraging Attention for Object Navigation. BMVC 2021: 295 - [c45]Yifeng Zhang, Ming Jiang, Qi Zhao:
Explicit Knowledge Incorporation for Visual Reasoning. CVPR 2021: 1356-1365 - [c44]Xianyu Chen, Ming Jiang, Qi Zhao:
Predicting Human Scanpaths in Visual Question Answering. CVPR 2021: 10876-10885 - [c43]Xingkui Zhu, Shuchang Lyu, Xu Wang, Qi Zhao:
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios. ICCVW 2021: 2778-2788 - [c42]Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang:
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results. ICCVW 2021: 2847-2854 - [c41]Xianyu Chen, Ming Jiang, Qi Zhao:
Leveraging Human Attention in Novel Object Captioning. IJCAI 2021: 622-628 - [c40]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 - [c39]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Trustworthiness with Steep Slope Loss. NeurIPS 2021: 21533-21544 - [c38]Yifeng Zhang, Ming Jiang, Qi Zhao:
Saliency Prediction with External Knowledge. WACV 2021: 484-493 - [c37]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] - [i29]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) - [i28]Qi Zhao, Yujing Ma, Shuchang Lyu, Lijiang Chen:
Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification. CoRR abs/2104.00222 (2021) - [i27]Qi Zhao, Binghao Liu, Shuchang Lyu, Xu Wang, Yifan Yang:
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation. CoRR abs/2108.06600 (2021) - [i26]Xingkui Zhu, Shuchang Lyu, Xu Wang, Qi Zhao:
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios. CoRR abs/2108.11539 (2021) - [i25]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Trustworthiness with Steep Slope Loss. CoRR abs/2110.00054 (2021) - [i24]Qi Zhao, Xu Wang, Shuchang Lyu, Binghao Liu, Yifan Yang:
A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval. CoRR abs/2110.04479 (2021) - [i23]Qi Zhao, Yufei Wang, Shuchang Lyu, Lijiang Chen:
Attention-based Feature Decomposition-Reconstruction Network for Scene Text Detection. CoRR abs/2111.14340 (2021) - 2020
- [j24]Wenfeng Zhang, Wenquan Feng, Hongbo Zhao, Qi Zhao:
Rapidly Learning Bayesian Networks for Complex System Diagnosis: A Reinforcement Learning Directed Greedy Search Approach. IEEE Access 8: 2813-2823 (2020) - [j23]Wenfeng Zhang, Gautam Biswas, Qi Zhao, Hongbo Zhao, Wenquan Feng:
Knowledge distilling based model compression and feature learning in fault diagnosis. Appl. Soft Comput. 88: 105958 (2020) - [j22]Qi Zhao, Boxue Zhang, Wenquan Feng, Zhiying Du, Hong Zhang, Daniel Sun:
Long-term real time object tracking based on multi-scale local correlation filtering and global re-detection. Computing 102(6): 1487-1501 (2020) - [j21]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Visual Social Relationship Recognition. Int. J. Comput. Vis. 128(6): 1750-1764 (2020) - [j20]Haoran Liang, Ming Jiang, Ronghua Liang, Qi Zhao:
A structure-guided approach to the prediction of natural image saliency. Neurocomputing 378: 441-454 (2020) - [j19]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) - [j18]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Video Storytelling: Textual Summaries for Events. IEEE Trans. Multim. 22(2): 554-565 (2020) - [j17]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) - [j16]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) - [c36]Ming Jiang, Shi Chen, Jinhui Yang, Qi Zhao:
Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention. CVPR 2020: 2977-2986 - [c35]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
AiR: Attention with Reasoning Capability. ECCV (1) 2020: 91-107 - [c34]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
n-Reference Transfer Learning for Saliency Prediction. ECCV (8) 2020: 502-519 - [c33]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 - [c32]Junnan Li, Ziwei Xu, Yongkang Wang, Qi Zhao, Mohan S. Kankanhalli:
GradMix: Multi-source Transfer across Domains and Tasks. WACV 2020: 3008-3016 - [i22]Junnan Li, Ziwei Xu, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
GradMix: Multi-source Transfer across Domains and Tasks. CoRR abs/2002.03264 (2020) - [i21]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
n-Reference Transfer Learning for Saliency Prediction. CoRR abs/2007.05104 (2020) - [i20]Xianyu Chen, Ming Jiang, Qi Zhao:
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection. CoRR abs/2007.12104 (2020) - [i19]Yifeng Zhang, Ming Jiang, Qi Zhao:
Saliency Prediction with External Knowledge. CoRR abs/2007.13839 (2020) - [i18]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
AiR: Attention with Reasoning Capability. CoRR abs/2007.14419 (2020) - [i17]Qi Zhao, Shuchang Lyu, Yuewen Li, Yujing Ma, Lijiang Chen:
MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification. CoRR abs/2012.14569 (2020) - [i16]Yuewen Li, Wenquan Feng, Shuchang Lyu, Qi Zhao, Xuliang Li:
MM-FSOD: Meta and metric integrated few-shot object detection. CoRR abs/2012.15159 (2020)
2010 – 2019
- 2019
- [j15]Qi Zhao, Jiahui Liu, Boxue Zhang, Shuchang Lyu, Nauman Raoof, Wenquan Feng:
Interpretable Relative Squeezing bottleneck design for compact convolutional neural networks model. Image Vis. Comput. 89: 276-288 (2019) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [c31]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 - [c30]Yan Luo, Ming Jiang, Qi Zhao:
Visual Attention in Multi-Label Image Classification. CVPR Workshops 2019: 820-827 - [c29]Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, Mohan S. Kankanhalli:
Learning to Detect Human-Object Interactions With Knowledge. CVPR 2019: 2019-2028 - [c28]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Learning to Learn From Noisy Labeled Data. CVPR 2019: 5051-5059 - [c27]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 - [c26]Shi Chen, Qi Zhao:
Attention-Based Autism Spectrum Disorder Screening With Privileged Modality. ICCV 2019: 1181-1190 - [c25]Qi Zhao, Wenfeng Zhang, Yuhao Deng, Hongbo Zhao, Wenquan Feng:
Diagnosing Strong-fault Models with a Two-step A* Search Method. ICPHM 2019: 1-8 - [c24]Qi Zhao, Nauman Raoof, Shuchang Lyu, Boxue Zhang, Wenquan Feng:
RSNet: A Compact Relative Squeezing Net for Image Recognition. VCIP 2019: 1-4 - [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
- [j10]Boxue Zhang, Qi Zhao, Wenquan Feng, Shuchang Lyu:
AlphaMEX: A smarter global pooling method for convolutional neural networks. Neurocomputing 321: 36-48 (2018) - [j9]Qi Zhao, Xiaoli Qin, Hongbo Zhao, Wenquan Feng:
A novel prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries. Microelectron. Reliab. 85: 99-108 (2018) - [j8]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) - [j7]Qi Zhao, Boxue Zhang, Shuchang Lyu, Hong Zhang, Daniel Sun, Guoqiang Li, Wenquan Feng:
A CNN-SIFT Hybrid Pedestrian Navigation Method Based on First-Person Vision. Remote. Sens. 10(8): 1229 (2018) - [j6]Wenfeng Zhang, Qi Zhao, Hongbo Zhao, Gan Zhou, Wenquan Feng:
Diagnosing a Strong-Fault Model by Conflict and Consistency. Sensors 18(4): 1016 (2018) - [j5]Qi Zhao, Shuchang Lyu, Boxue Zhang, Wenquan Feng:
Multiactivation Pooling Method in Convolutional Neural Networks for Image Recognition. Wirel. Commun. Mob. Comput. 2018: 8196906:1-8196906:15 (2018) - [c23]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 - [c22]Shi Chen, Qi Zhao:
Boosted Attention: Leveraging Human Attention for Image Captioning. ECCV (11) 2018: 72-88 - [c21]Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Egocentric Spatial Memory. IROS 2018: 137-144 - [c20]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
- [c19]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 - [c18]Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Dual-Glance Model for Deciphering Social Relationships. ICCV 2017: 2669-2678 - [c17]Ming Jiang, Qi Zhao:
Learning Visual Attention to Identify People with Autism Spectrum Disorder. ICCV 2017: 3287-3296 - [c16]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 - [c15]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao:
Foveated neural network: Gaze prediction on egocentric videos. ICIP 2017: 3720-3724 - [c14]Xiaoli Qin, Qi Zhao, Hongbo Zhao, Wenquan Feng, XiuMei Guan:
Prognostics of remaining useful life for lithium-ion batteries based on a feature vector selection and relevance vector machine approach. ICPHM 2017: 1-6 - [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
- [j4]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
- [j3]Qi Zhao, Hongwei Deng, Hongbo Zhao:
Research on Ionospheric Scintillation with Beidou Satellite Signal. IEICE Trans. Commun. 98-B(8): 1725-1731 (2015) - [j2]Yan Luo, Ming Jiang, Yongkang Wong, Qi Zhao:
Multi-Camera Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2057-2070 (2015) - [j1]Gan Zhou, Wenquan Feng, Qi Zhao, Hongbo Zhao:
State Tracking and Fault Diagnosis for Dynamic Systems Using Labeled Uncertainty Graph. Sensors 15(11): 28031-28051 (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
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