Maoying Qiao

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 20

Top Topics

Image Classification

Point Processes

Negative Samples

Top Venues

IEEE Trans. Cybern.

Int. J. Comput. Vis.

Publications

Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR (2024)
Junkai Fang, Nan Fang, Fei Huang, Jinglin Zhou, Maoying Qiao, Fei Gao
Learning Discriminative Style Representations for Unsupervised and Few-Shot Artistic Portrait Drawing Generation. ICASSP (2024)
Fei Gao, Lingna Dai, Jingjie Zhu, Mei Du, Yiyuan Zhang, Maoying Qiao, Chenghao Xia, Nannan Wang, Peng Li
Human-Robot Interactive Creation of Artistic Portrait Drawings. ICRA (2024)
Yajing Kong, Liu Liu, Maoying Qiao, Zhen Wang, Dacheng Tao
Trust-Region Adaptive Frequency for Online Continual Learning. Int. J. Comput. Vis. 131 (7) (2023)
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. AAAI (2022)
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. CoRR (2022)
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes. CoRR (2022)
Haifeng Shen, Kewen Liao, Zhibin Liao, Job Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans
Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps. CHI Extended Abstracts (2021)
Maoying Qiao, Jun Yu, Wei Bian, Dacheng Tao
Detecting Communities in Heterogeneous Multi-Relational Networks: A Message Passing based Approach. CoRR (2020)
Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao
Diversified Bayesian Nonnegative Matrix Factorization. AAAI (2020)
Dadong Wang, Yulia Arzhaeva, Liton Devnath, Maoying Qiao, Saeed Amirgholipour, Qiyu Liao, Rhiannon McBean, James Hillhouse, Suhuai Luo, David Meredith, Katrina Newbigin, Deborah Yates
Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded Learning with Real and Synthetic Radiographs. DICTA (2020)
Maoying Qiao, Tongliang Liu, Jun Yu, Wei Bian, Dacheng Tao
Repulsive Mixture Models of Exponential Family PCA for Clustering. CoRR (2020)
Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao
Adapting Stochastic Block Models to Power-Law Degree Distributions. CoRR (2019)
Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao
Adapting Stochastic Block Models to Power-Law Degree Distributions. IEEE Trans. Cybern. 49 (2) (2019)
Maoying Qiao, Wei Bian, Richard Yida Xu, Dacheng Tao
Diversified Hidden Markov Models for Sequential Labeling. CoRR (2019)
Maoying Qiao, Liu Liu, Jun Yu, Chang Xu, Dacheng Tao
Diversified dictionaries for multi-instance learning. Pattern Recognit. 64 (2017)
Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic. IJCAI (2017)
Qiang Li, Maoying Qiao, Wei Bian, Dacheng Tao
Conditional Graphical Lasso for Multi-label Image Classification. CVPR (2016)
Maoying Qiao, Richard Yi Da Xu, Wei Bian, Dacheng Tao
Fast Sampling for Time-Varying Determinantal Point Processes. ACM Trans. Knowl. Discov. Data 11 (1) (2016)
Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao
Diversified hidden Markov models for sequential labeling. ICDE (2016)
Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao
Diversified Hidden Markov Models for Sequential Labeling. IEEE Trans. Knowl. Data Eng. 27 (11) (2015)
Jun Cheng, Maoying Qiao, Wei Bian, Dacheng Tao
3D human posture segmentation by spectral clustering with surface normal constraint. Signal Process. 91 (9) (2011)