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2020 – today
- 2025
[j26]Bicheng Guo
, Shibo He, Miaojing Shi, Kaicheng Yu, Jiming Chen, Xuemin Shen:
Semantic-DARTS: Elevating Semantic Learning for Mobile Differentiable Architecture Search. IEEE Internet Things J. 12(2): 1673-1687 (2025)- [j25]Oluwatosin Alabi, Tom Vercauteren, Miaojing Shi:
Multitask learning in minimally invasive surgical vision: A review. Medical Image Anal. 101: 103480 (2025) - [j24]Zijie Yue, Miaojing Shi:
Enhancing space-time video super-resolution via spatial-temporal feature interaction. Neural Networks 184: 107033 (2025) - [j23]Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci:
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training. IEEE Trans. Medical Imaging 44(1): 519-529 (2025) - [c35]Xinyue Chen, Miaojing Shi, Zijian Zhou, Lianghua He, Sophia Tsoka:
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. AAAI 2025: 2256-2265 - [c34]Marcus Messer, Neil C. C. Brown, Michael Kölling, Miaojing Shi:
Menagerie: A Dataset of Graded Programming Assignments. SIGCSE (2) 2025: 1547-1548 - [c33]Maxime Fontana, Michael W. Spratling, Miaojing Shi:
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization. WACV 2025: 9013-9022 - [i50]Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King:
Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation. CoRR abs/2503.17089 (2025) - 2024
- [j22]Meng Wei, Miaojing Shi, Tom Vercauteren:
Enhancing surgical instrument segmentation: integrating vision transformer insights with adapter. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1313-1320 (2024) - [j21]Maxime Fontana, Michael W. Spratling, Miaojing Shi:
When Multitask Learning Meets Partial Supervision: A Computer Vision Review. Proc. IEEE 112(6): 516-543 (2024) - [j20]Jian Zhu, Hanli Wang, Miaojing Shi:
Multi-Modal Large Language Model Enhanced Pseudo 3D Perception Framework for Visual Commonsense Reasoning. IEEE Trans. Circuits Syst. Video Technol. 34(11): 11682-11694 (2024) - [j19]Yu Du, Miaojing Shi, Fangyun Wei, Guoqi Li:
Boosting Zero-Shot Learning via Contrastive Optimization of Attribute Representations. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16706-16719 (2024) - [j18]Marcus Messer, Neil C. C. Brown, Michael Kölling, Miaojing Shi:
Automated Grading and Feedback Tools for Programming Education: A Systematic Review. ACM Trans. Comput. Educ. 24(1): 10:1-10:43 (2024) - [c32]Marcus Messer, Miaojing Shi, Neil C. C. Brown, Michael Kölling:
Grading Documentation with Machine Learning. AIED (1) 2024: 105-117 - [c31]Zhipeng Du, Miaojing Shi, Jiankang Deng:
Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation. CVPR 2024: 12666-12676 - [c30]Linfeng Yuan, Miaojing Shi, Zijie Yue, Qijun Chen:
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation. CVPR 2024: 14001-14010 - [c29]Zijian Zhou, Zheng Zhu, Holger Caesar, Miaojing Shi:
OpenPSG: Open-Set Panoptic Scene Graph Generation via Large Multimodal Models. ECCV (10) 2024: 199-215 - [c28]Xinyue Chen, Miaojing Shi:
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation. ICME 2024: 1-6 - [c27]Yuxuan Zhang, Miaojing Shi, Taiyi Su, Hanli Wang:
Memory-Based Contrastive Learning with Optimized Sampling for Incremental Few-Shot Semantic Segmentation. ISCAS 2024: 1-5 - [i49]Oluwatosin Alabi, Tom Vercauteren, Miaojing Shi:
Multitask Learning in Minimally Invasive Surgical Vision: A Review. CoRR abs/2401.08256 (2024) - [i48]Hamed Amini Amirkolaee, Miaojing Shi, Lianghua He, Mark Mulligan:
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image. CoRR abs/2402.02956 (2024) - [i47]Zijian Zhou, Miaojing Shi, Meng Wei, Oluwatosin Alabi, Zijie Yue, Tom Vercauteren:
Large Model driven Radiology Report Generation with Clinical Quality Reinforcement Learning. CoRR abs/2403.06728 (2024) - [i46]Xinyue Chen, Miaojing Shi:
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation. CoRR abs/2406.00545 (2024) - [i45]Oluwatosin Alabi, Ko Ko Zayar Toe, Zijian Zhou, Charlie Budd, Nicholas Raison, Miaojing Shi, Tom Vercauteren:
CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery. CoRR abs/2406.16039 (2024) - [i44]Zijie Yue, Miaojing Shi, Hanli Wang, Shuai Ding, Qijun Chen, Shanlin Yang:
Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement. CoRR abs/2407.08507 (2024) - [i43]Zijian Zhou, Zheng Zhu, Holger Caesar, Miaojing Shi:
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models. CoRR abs/2407.11213 (2024) - [i42]Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Sebastien Roujol, Theodore Barfoot, Shaheim Ogbomo-Harmitt, Miaojing Shi, Andrew P. King:
An investigation into the causes of race bias in AI-based cine CMR segmentation. CoRR abs/2408.02462 (2024) - [i41]Marcus Messer, Neil C. C. Brown, Michael Kölling, Miaojing Shi:
How Consistent Are Humans When Grading Programming Assignments? CoRR abs/2409.12967 (2024) - [i40]Ziyi Zhang, Li Shen, Sen Zhang, Deheng Ye, Yong Luo, Miaojing Shi, Bo Du, Dacheng Tao:
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning. CoRR abs/2411.11727 (2024) - [i39]Maxime Fontana, Michael W. Spratling, Miaojing Shi:
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization. CoRR abs/2412.03179 (2024) - [i38]Zijian Zhou, Shikun Liu, Xiao Han, Haozhe Liu, Kam Woh Ng, Tian Xie, Yuren Cong, Hang Li, Mengmeng Xu, Juan-Manuel Pérez-Rúa, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He:
Learning Flow Fields in Attention for Controllable Person Image Generation. CoRR abs/2412.08486 (2024) - [i37]Shuangping Huang, Hao Liang, Qingfeng Wang, Chulong Zhong, Zijian Zhou, Miaojing Shi:
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation. CoRR abs/2412.12660 (2024) - [i36]Xinyue Chen, Miaojing Shi, Zijian Zhou, Lianghua He, Sophia Tsoka:
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. CoRR abs/2412.15835 (2024) - 2023
- [j17]Kuan-Hao Chen, Zijie Yue, Miaojing Shi:
Space-time video super-resolution using long-term temporal feature aggregation. Auton. Intell. Syst. 3(1): 5 (2023) - [j16]Xinyue Chen, Yueyi Wang, Yingyue Xu, Miaojing Shi:
Distilling base-and-meta network with contrastive learning for few-shot semantic segmentation. Auton. Intell. Syst. 3(1): 11 (2023) - [j15]Zijie Yue, Miaojing Shi, Shuai Ding:
Facial Video-Based Remote Physiological Measurement via Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13844-13859 (2023) - [j14]Hamed Amini Amirkolaee, Miaojing Shi, Mark Mulligan:
TreeFormer: A Semi-Supervised Transformer-Based Framework for Tree Counting From a Single High-Resolution Image. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j13]Zhipeng Du, Miaojing Shi, Jiankang Deng, Stefanos Zafeiriou:
Redesigning Multi-Scale Neural Network for Crowd Counting. IEEE Trans. Image Process. 32: 3664-3678 (2023) - [c26]Zhipeng Du, Jiankang Deng, Miaojing Shi:
Domain-General Crowd Counting in Unseen Scenarios. AAAI 2023: 561-570 - [c25]Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King:
An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation. CLIP/FAIMI/EPIMI@MICCAI 2023: 215-224 - [c24]Zijian Zhou, Miaojing Shi, Holger Caesar:
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation. ICCV 2023: 21580-21591 - [c23]Marcus Messer, Neil C. C. Brown, Michael Kölling, Miaojing Shi:
Machine Learning-Based Automated Grading and Feedback Tools for Programming: A Meta-Analysis. ITiCSE (1) 2023: 491-497 - [c22]Zijian Zhou, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Miaojing Shi:
Text Promptable Surgical Instrument Segmentation with Vision-Language Models. NeurIPS 2023 - [i35]Zijian Zhou, Miaojing Shi, Holger Caesar:
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation. CoRR abs/2303.15994 (2023) - [i34]Linfeng Yuan, Miaojing Shi, Zijie Yue:
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation. CoRR abs/2306.08736 (2023) - [i33]Zijian Zhou, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Miaojing Shi:
Text Promptable Surgical Instrument Segmentation with Vision-Language Models. CoRR abs/2306.09244 (2023) - [i32]Marcus Messer, Neil C. C. Brown, Michael Kölling, Miaojing Shi:
Automated Grading and Feedback Tools for Programming Education: A Systematic Review. CoRR abs/2306.11722 (2023) - [i31]Hamed Amini Amirkolaee, Miaojing Shi, Mark Mulligan:
TreeFormer: a Semi-Supervised Transformer-based Framework for Tree Counting from a Single High Resolution Image. CoRR abs/2307.06118 (2023) - [i30]Maxime Fontana, Michael W. Spratling, Miaojing Shi:
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review. CoRR abs/2307.14382 (2023) - [i29]Meng Wei, Charlie Budd, Luis C. García-Peraza-Herrera, Reuben Dorent, Miaojing Shi, Tom Vercauteren:
SegMatch: A semi-supervised learning method for surgical instrument segmentation. CoRR abs/2308.05232 (2023) - [i28]Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King:
An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation. CoRR abs/2308.13415 (2023) - [i27]Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci:
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training. CoRR abs/2310.07355 (2023) - [i26]Zijian Zhou, Miaojing Shi, Holger Caesar:
VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation. CoRR abs/2311.16492 (2023) - [i25]Zhipeng Du, Miaojing Shi, Jiankang Deng:
Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation. CoRR abs/2312.01220 (2023) - 2022
- [j12]Yuting Liu, Zheng Wang, Miaojing Shi, Shinichi Satoh, Qijun Zhao, Hongyu Yang:
Discovering regression-detection bi-knowledge transfer for unsupervised cross-domain crowd counting. Neurocomputing 494: 418-431 (2022) - [j11]Miao Zhang, Miaojing Shi, Li Li:
MFNet: Multiclass Few-Shot Segmentation Network With Pixel-Wise Metric Learning. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8586-8598 (2022) - [j10]Arnout van Soesbergen, Zedong Chu, Miaojing Shi, Mark Mulligan:
Dam Reservoir Extraction From Remote Sensing Imagery Using Tailored Metric Learning Strategies. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c21]Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, Guoqi Li:
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model. CVPR 2022: 14064-14073 - [c20]Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King:
A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation. STACOM@MICCAI 2022: 233-244 - [i24]Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, Guoqi Li:
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model. CoRR abs/2203.14940 (2022) - [i23]Yu Du, Miaojing Shi, Fangyun Wei, Guoqi Li:
Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations. CoRR abs/2207.03824 (2022) - [i22]Arnout van Soesbergen, Zedong Chu, Miaojing Shi, Mark Mulligan:
Dam reservoir extraction from remote sensing imagery using tailored metric learning strategies. CoRR abs/2207.05807 (2022) - [i21]Zijie Yue, Miaojing Shi, Shuai Ding, Shanlin Yang:
Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction. CoRR abs/2207.08960 (2022) - [i20]Zhipeng Du, Miaojing Shi, Jiankang Deng, Stefanos Zafeiriou:
Redesigning Multi-Scale Neural Network for Crowd Counting. CoRR abs/2208.02894 (2022) - [i19]Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King:
A systematic study of race and sex bias in CNN-based cardiac MR segmentation. CoRR abs/2209.01627 (2022) - [i18]Zijie Yue, Miaojing Shi, Shuai Ding:
Video-based Remote Physiological Measurement via Self-supervised Learning. CoRR abs/2210.15401 (2022) - [i17]Bicheng Guo, Shuxuan Guo, Miaojing Shi, Peng Cheng, Shibo He, Jiming Chen, Kaicheng Yu:
α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling. CoRR abs/2211.10105 (2022) - [i16]Kholoud Alghamdi, Miaojing Shi, Elena Simperl:
Exploring and Eliciting Needs and Preferences from Editors for Wikidata Recommendations. CoRR abs/2212.01818 (2022) - [i15]Zhipeng Du, Jiankang Deng, Miaojing Shi:
Domain-general Crowd Counting in Unseen Scenarios. CoRR abs/2212.02573 (2022) - 2021
- [j9]Zhaohui Yang, Miaojing Shi, Chao Xu, Vittorio Ferrari, Yannis Avrithis:
Training object detectors from few weakly-labeled and many unlabeled images. Pattern Recognit. 120: 108164 (2021) - [c19]Kholoud Alghamdi, Miaojing Shi, Elena Simperl:
Learning to Recommend Items to Wikidata Editors. ISWC 2021: 163-181 - [c18]Suresh Kirthi Kumaraswamy, Miaojing Shi, Ewa Kijak:
Detecting Human-Object Interaction with Mixed Supervision. WACV 2021: 1227-1236 - [c17]Yanlin Qian, Miaojing Shi, Joni-Kristian Kämäräinen, Jiri Matas:
Fast Fourier Intrinsic Network. WACV 2021: 3168-3177 - [i14]Kholoud Alghamdi, Miaojing Shi, Elena Simperl:
Learning to Recommend Items to Wikidata Editors. CoRR abs/2107.06423 (2021) - [i13]Miao Zhang, Miaojing Shi, Li Li:
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning. CoRR abs/2111.00232 (2021) - 2020
- [j8]Shugang Li, Xuewei Song, Hanyu Lu, Linyi Zeng, Miaojing Shi, Fang Liu:
Friend recommendation for cross marketing in online brand community based on intelligent attention allocation link prediction algorithm. Expert Syst. Appl. 139 (2020) - [c16]Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li:
Active Crowd Counting with Limited Supervision. ECCV (20) 2020: 565-581 - [c15]Yuting Liu, Zheng Wang, Miaojing Shi, Shin'ichi Satoh, Qijun Zhao, Hongyu Yang:
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer. ACM Multimedia 2020: 129-137 - [c14]Wenqing Liu, Miaojing Shi, Teddy Furon, Li Li:
Defending Adversarial Examples via DNN Bottleneck Reinforcement. ACM Multimedia 2020: 1930-1938 - [c13]Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li:
Restoring Negative Information in Few-Shot Object Detection. NeurIPS 2020 - [i12]Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li:
Active Crowd Counting with Limited Supervision. CoRR abs/2007.06334 (2020) - [i11]Wenqing Liu, Miaojing Shi, Teddy Furon, Li Li:
Defending Adversarial Examples via DNN Bottleneck Reinforcement. CoRR abs/2008.05230 (2020) - [i10]Yuting Liu, Zheng Wang, Miaojing Shi, Shin'ichi Satoh, Qijun Zhao, Hongyu Yang:
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer. CoRR abs/2008.05383 (2020) - [i9]Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li:
Restoring Negative Information in Few-Shot Object Detection. CoRR abs/2010.11714 (2020) - [i8]Yanlin Qian, Miaojing Shi, Joni-Kristian Kämäräinen, Jiri Matas:
Fast Fourier Intrinsic Network. CoRR abs/2011.04612 (2020) - [i7]Suresh Kirthi Kumaraswamy, Miaojing Shi, Ewa Kijak:
Detecting Human-Object Interaction with Mixed Supervision. CoRR abs/2011.04971 (2020)
2010 – 2019
- 2019
- [j7]Meiji Cui, Li Li, Miaojing Shi:
A Selective Biogeography-Based Optimizer Considering Resource Allocation for Large-Scale Global Optimization. Comput. Intell. Neurosci. 2019: 1240162:1-1240162:17 (2019) - [j6]Nannan Cai, Shugang Li, Zhaoxu Yu, Miaojing Shi:
Select the potential brand spokesperson on social network based on the smart link prediction. J. Intell. Fuzzy Syst. 37(1): 625-634 (2019) - [c12]Yuting Liu, Miaojing Shi, Qijun Zhao, Xiaofang Wang:
Point in, Box Out: Beyond Counting Persons in Crowds. CVPR 2019: 6469-6478 - [c11]Miaojing Shi, Zhaohui Yang, Chao Xu, Qijun Chen:
Revisiting Perspective Information for Efficient Crowd Counting. CVPR 2019: 7279-7288 - [i6]Yuting Liu, Miaojing Shi, Qijun Zhao, Xiaofang Wang:
Point in, Box out: Beyond Counting Persons in Crowds. CoRR abs/1904.01333 (2019) - [i5]Zhaohui Yang, Miaojing Shi, Yannis Avrithis, Chao Xu, Vittorio Ferrari:
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images. CoRR abs/1912.00384 (2019) - 2018
- [c10]Lu Zhang, Miaojing Shi, Qiaobo Chen:
Crowd Counting via Scale-Adaptive Convolutional Neural Network. WACV 2018: 1113-1121 - [i4]Miaojing Shi, Zhaohui Yang, Chao Xu, Qijun Chen:
Perspective-Aware CNN For Crowd Counting. CoRR abs/1807.01989 (2018) - 2017
- [c9]Miaojing Shi, Holger Caesar, Vittorio Ferrari:
Weakly Supervised Object Localization Using Things and Stuff Transfer. ICCV 2017: 3401-3410 - [i3]Miaojing Shi, Holger Caesar, Vittorio Ferrari:
Weakly Supervised Object Localization Using Things and Stuff Transfer. CoRR abs/1703.08000 (2017) - [i2]Lu Zhang, Miaojing Shi, Qiaobo Chen:
Crowd counting via scale-adaptive convolutional neural network. CoRR abs/1711.04433 (2017) - 2016
- [j5]Yunhe Wang, Miaojing Shi, Shan You, Chao Xu:
DCT Inspired Feature Transform for Image Retrieval and Reconstruction. IEEE Trans. Image Process. 25(9): 4406-4420 (2016) - [c8]Miaojing Shi, Vittorio Ferrari:
Weakly Supervised Object Localization Using Size Estimates. ECCV (5) 2016: 105-121 - [i1]Miaojing Shi, Vittorio Ferrari:
Weakly Supervised Object Localization Using Size Estimates. CoRR abs/1608.04314 (2016) - 2015
- [j4]Miaojing Shi, Xinghai Sun, Dacheng Tao, Chao Xu, George Baciu, Hong Liu:
Exploring Spatial Correlation for Visual Object Retrieval. ACM Trans. Intell. Syst. Technol. 6(2): 24:1-24:21 (2015) - [j3]Yuan Gao, Miaojing Shi, Dacheng Tao, Chao Xu:
Database Saliency for Fast Image Retrieval. IEEE Trans. Multim. 17(3): 359-369 (2015) - [c7]Miaojing Shi, Yannis Avrithis, Hervé Jégou:
Early burst detection for memory-efficient image retrieval. CVPR 2015: 605-613 - [c6]Li Weng, I-Hong Jhuo, Miaojing Shi, Meng Sun, Wen-Huang Cheng, Laurent Amsaleg:
Supervised Multi-scale Locality Sensitive Hashing. ICMR 2015: 259-266 - 2014
- [c5]Chao Xu, Yuan Gao, Miaojing Shi:
Saliency oriented object image re-ranking. ICECS 2014: 371-374 - [c4]Miaojing Shi, Teddy Furon, Hervé Jégou:
A Group Testing Framework for Similarity Search in High-dimensional Spaces. ACM Multimedia 2014: 407-416 - 2013
- [j2]Miaojing Shi, Guo-Zheng Li, Fufeng Li:
C2G2FSnake: automatic tongue image segmentation utilizing prior knowledge. Sci. China Inf. Sci. 56(9): 1-14 (2013) - [j1]Miaojing Shi, Ruixin Xu, Dacheng Tao, Chao Xu:
W-Tree Indexing for Fast Visual Word Generation. IEEE Trans. Image Process. 22(3): 1209-1222 (2013) - 2012
- [c3]Yan Liu, Xiaoping Zou, Miaojing Shi, Guangtao Zhuang:
Intelligent parking guidance system based on wireless sensor networks. CCIS 2012: 1076-1078 - [c2]Miaojing Shi, Xinghai Sun, Dacheng Tao, Chao Xu:
Exploiting visual word co-occurrence for image retrieval. ACM Multimedia 2012: 69-78 - 2011
- [c1]Ruixin Xu, Miaojing Shi, Bo Geng, Chao Xu:
Fast visual word quantization via spatial neighborhood boosting. ICME 2011: 1-6
Coauthor Index
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