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Mingmin Chi
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2020 – today
- 2024
- [j17]Meifei Ding
, Liming Pan
A Multitask Feature Fusion Network for Woven Fabric Density Analysis. IEEE Access 12: 36229-36238 (2024) - [c50]Dong Wu, Mingmin Chi, Xuan Zang, Bo Peng:
Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability. AAAI 2024: 15878-15887 - [c49]Liren He, Zhengkai Jiang, Jinlong Peng, Wenbing Zhu, Liang Liu, Qiangang Du, Xiaobin Hu, Mingmin Chi, Yabiao Wang, Chengjie Wang:
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection. ECCV (67) 2024: 216-232 - [c48]Yining Qiu, Yuxi Li, Jiafu Wu, Zhenye Gan, Mingmin Chi, Yabiao Wang, Chengjie Wang, Pei Wang:
Learning Hybrid Negative Probability Model for Weakly-Supervised Whole Slide Image Recognition. ICASSP 2024: 1551-1555 - [c47]Shen Wang, Xiaofeng Cheng, Ming Xie, Yuhang Ling, Chao Liu, Mingmin Chi, Pei Wang, Zhongyi Sun, Yabiao Wang:
Search for Gravitational Wave Probes - A Self-Supervised Learning for Pulsars Based on Signal Contexts. ICASSP 2024: 6015-6019 - [c46]Yuhang Ling, Yuxi Li, Zhenye Gan, Jiangning Zhang, Mingmin Chi, Yabiao Wang:
TransAVS: End-to-End Audio-Visual Segmentation with Transformer. ICASSP 2024: 7845-7849 - [c45]Jiaqi Wang
MDR: Multi-stage Decoupled Relational Knowledge Distillation with Adaptive Stage Selection. ACM Multimedia 2024: 2175-2183 - [c44]Xiaofeng Mao
MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation. ACM Multimedia 2024: 3266-3274 - [i17]Liren He, Zhengkai Jiang, Jinlong Peng, Liang Liu, Qiangang Du, Xiaobin Hu, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang:
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection. CoRR abs/2403.11561 (2024) - [i16]Qiangang Du, Jinlong Peng, Changan Wang, Xu Chen, Qingdong He, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang:
Leveraging Fine-Grained Information and Noise Decoupling for Remote Sensing Change Detection. CoRR abs/2404.11318 (2024) - [i15]Qiangang Du, Jinlong Peng, Xu Chen, Qingdong He, Liren He, Qiang Nie, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang:
Single-temporal Supervised Remote Change Detection for Domain Generalization. CoRR abs/2404.11326 (2024) - [i14]Sihe Zhang, Qingdong He, Jinlong Peng, Yuxi Li, Zhengkai Jiang, Jiafu Wu, Mingmin Chi, Yabiao Wang, Chengjie Wang:
AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval. CoRR abs/2405.17718 (2024) - [i13]Mufeng Yao, Jinlong Peng, Qingdong He, Bo Peng, Hao Chen, Mingmin Chi, Chao Liu, Jón Atli Benediktsson:
Effective Motion Modeling for UAV-platform Multiple Object Tracking with Re-Margin Loss. CoRR abs/2407.10485 (2024) - [i12]Xiaofeng Mao, Zhengkai Jiang, Qilin Wang, Chencan Fu, Jiangning Zhang, Jiafu Wu, Yabiao Wang, Chengjie Wang, Wei Li, Mingmin Chi:
MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation. CoRR abs/2408.03312 (2024) - [i11]Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Hao Chen, Jiafu Wu, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang, Chengjie Wang:
DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation. CoRR abs/2408.13509 (2024) - [i10]Hao Chen, Jiafu Wu, Ying Jin, Jinlong Peng, Xiaofeng Mao, Mingmin Chi, Mufeng Yao, Bo Peng, Jian Li, Yun Cao:
VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis. CoRR abs/2409.08207 (2024) - [i9]Haoxuan Wang, Qingdong He, Jinlong Peng, Hao Yang, Mingmin Chi, Yabiao Wang:
Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection. CoRR abs/2409.08513 (2024) - [i8]Xiaofeng Mao, Zhengkai Jiang, Fu-Yun Wang, Wenbing Zhu, Jiangning Zhang, Hao Chen, Mingmin Chi, Yabiao Wang:
OSV: One Step is Enough for High-Quality Image to Video Generation. CoRR abs/2409.11367 (2024) - 2023
- [c43]Joseph Kim, Dong Wu, Mingmin Chi, Gaoqi Xu:
Hierarchical Multi-Task Learning for Fabric Component Analysis Based on NIR Spectral Signals. ICASSP 2023: 1-5 - [c42]Chao Liu, Ruipeng Ma, Zheng Si, Mingmin Chi:
A Method of Constructing and Automatically Labeling Radio Frequency Signal Training Dataset for UAV. ICASSP 2023: 1-5 - [c41]Bo Peng, Liren He, Dong Wu, Mingmin Chi, Jintao Chen:
A Multi-Signal Perception Network for Textile Composition Identification. ICASSP 2023: 1-5 - [c40]Dong Wu, Bin Liang, Xiangjun Liu, Xuan Zang, Mingmin Chi:
Bipartite Graph Convolutional Networks with Adversarial Domain Transfer. ICASSP 2023: 1-5 - [c39]Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang, Wenbing Zhu:
Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection. IJCAI 2023: 1497-1505 - [c38]Jiafu Wu
PVG: Progressive Vision Graph for Vision Recognition. ACM Multimedia 2023: 2477-2486 - [c37]Mufeng Yao
FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow. ACM Multimedia 2023: 3375-3383 - [i7]Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang:
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk. CoRR abs/2303.03933 (2023) - [i6]Yuhang Ling, Yuxi Li, Zhenye Gan, Jiangning Zhang, Mingmin Chi, Yabiao Wang:
Hear to Segment: Unmixing the Audio to Guide the Semantic Segmentation. CoRR abs/2305.07223 (2023) - [i5]Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang, Wenbing Zhu:
Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection. CoRR abs/2305.18714 (2023) - [i4]Jiafu Wu, Jian Li, Jiangning Zhang, Boshen Zhang, Mingmin Chi, Yabiao Wang, Chengjie Wang:
PVG: Progressive Vision Graph for Vision Recognition. CoRR abs/2308.00574 (2023) - [i3]Mufeng Yao, Jiaqi Wang, Jinlong Peng, Mingmin Chi, Chao Liu:
FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow. CoRR abs/2308.07207 (2023) - 2022
- [j16]Bo Peng, Mingmin Chi, Chao Liu
Non-IID federated learning via random exchange of local feature maps for textile IIoT secure computing. Sci. China Inf. Sci. 65(7): 1-16 (2022) - [c36]Ming Xie, Yuxi Li, Yabiao Wang
Learning Distinctive Margin toward Active Domain Adaptation. CVPR 2022: 7983-7992 - [c35]Huajian Wu, Mingmin Chi:
Hierarchical Signal Fusion Network for Pulsar Detection with Phase-Correlation and Signal Attentions. ICASSP 2022: 4553-4557 - [c34]Bo Peng, Yining Qiu, Dong Wu, Liren He, Mingmin Chi:
A Progressive and Multi-Prior-Guided Network for Image Inpainting. ICME 2022: 1-6 - [c33]Bo Peng, Liren He, Yining Qiu, Dong Wu, Mingmin Chi:
Image-Signal Correlation Network for Textile Fiber Identification. ACM Multimedia 2022: 3848-3856 - [i2]Ming Xie
Learning Distinctive Margin toward Active Domain Adaptation. CoRR abs/2203.05738 (2022) - 2021
- [j15]Joseph Kim, Mingmin Chi
SAFFNet: Self-Attention-Based Feature Fusion Network for Remote Sensing Few-Shot Scene Classification. Remote. Sens. 13(13): 2532 (2021) - 2020
- [j14]Yiqing Qin
RSImageNet: A Universal Deep Semantic Segmentation Lifecycle for Remote Sensing Images. IEEE Access 8: 68254-68267 (2020) - [j13]Yunfeng Zhang
Mask-R-FCN: A Deep Fusion Network for Semantic Segmentation. IEEE Access 8: 155753-155765 (2020)
2010 – 2019
- 2019
- [j12]Jinhua Wang, Qiuhong Li
Similarity join on time series by utilizing a dynamic segmentation index. Knowl. Inf. Syst. 61(3): 1517-1546 (2019) - [c32]Penghao Zhou, Mingmin Chi:
Relation Parsing Neural Network for Human-Object Interaction Detection. ICCV 2019: 843-851 - [c31]Lingxiang Lan, Dong Wu, Mingmin Chi:
Multi-temporal Change Detection based on Deep Semantic Segmentation Networks. MultiTemp 2019: 1-4 - 2018
- [c30]Huan Zhou, Yang Hu, Jinshu Su
Empowering Dynamic Task-Based Applications with Agile Virtual Infrastructure Programmability. IEEE CLOUD 2018: 484-491 - [c29]Zhongsheng Li, Qiuhong Li, Yimin Liu, Wei Wang, Fengbin Qi, Mingmin Chi, Yitong Wang:
Modeling and Evaluating MID1 ICAL Pipeline on Spark. DASFAA (2) 2018: 825-828 - [c28]Xuan Liu, Mingmin Chi, Yunfeng Zhang, Yiqing Qin:
Classifying High Resolution Remote Sensing Images by Fine-Tuned VGG Deep Networks. IGARSS 2018: 7137-7140 - [c27]Yiqing Qin, Mingmin Chi, Xuan Liu, Yunfeng Zhang, Yijian Zeng
Classification of High Resolution Urban Remote Sensing Images Using Deep Networks by Integration of Social Media Photos. IGARSS 2018: 7243-7246 - [i1]Pedram Ghamisi, Behnood Rasti, Naoto Yokoya, Qunming Wang, Bernhard Höfle, Lorenzo Bruzzone, Francesca Bovolo, Mingmin Chi, Katharina Anders, Richard Gloaguen, Peter M. Atkinson, Jón Atli Benediktsson:
Multisource and Multitemporal Data Fusion in Remote Sensing. CoRR abs/1812.08287 (2018) - 2017
- [j11]Dong Wu, Mingmin Chi
Long Short-Term Memory With Quadratic Connections in Recursive Neural Networks for Representing Compositional Semantics. IEEE Access 5: 16077-16083 (2017) - [j10]Sicong Liu
Oil Spill Detection via Multitemporal Optical Remote Sensing Images: A Change Detection Perspective. IEEE Geosci. Remote. Sens. Lett. 14(3): 324-328 (2017) - [j9]Mingmin Chi, Zhongyi Sun, Yiqing Qin, Jinsheng Shen, Jón Atli Benediktsson
A Novel Methodology to Label Urban Remote Sensing Images Based on Location-Based Social Media Photos. Proc. IEEE 105(10): 1926-1936 (2017) - [c26]Fengyu Li, Mingmin Chi, Dong Wu, Junyu Niu:
Hierarchical Parameter Sharing in Recursive Neural Networks with Long Short-Term Memory. ICONIP (2) 2017: 582-592 - 2016
- [j8]Mingmin Chi, Antonio Plaza
Big Data for Remote Sensing: Challenges and Opportunities. Proc. IEEE 104(11): 2207-2219 (2016) - [c25]Zhongyi Sun, Mingmin Chi, Jón Atli Benediktsson
Computational Efficiency Active Learning for classification of hyperspectral images. IGARSS 2016: 5138-5140 - [c24]Sicong Liu, Mingmin Chi, Yangxiu Zou, Alim Samat
A multitemporal change detection solution to oil spill monitoring. IGARSS 2016: 7718-7721 - 2015
- [j7]Mingmin Chi, Antonio J. Plaza
Foreword to the Special Issue on Big Data in Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(10): 4607-4609 (2015) - [c23]Zhongyi Sun, Fengke Chen, Mingmin Chi, Yangyong Zhu:
A Spark-Based Big Data Platform for Massive Remote Sensing Data Processing. ICDS 2015: 120-126 - [c22]Jun Shao, Daqi Xu, Chun Feng, Mingmin Chi:
Big data challenges in China centre for resources satellite data and application. WHISPERS 2015: 1-4 - [c21]Zhongyi Sun, Mingmin Chi:
Superpixel-based active learning for the classification of hyperspectral images. WHISPERS 2015: 1-4 - 2013
- [j6]Jiangfeng Bao, Mingmin Chi, Jón Atli Benediktsson
Spectral Derivative Features for Classification of Hyperspectral Remote Sensing Images: Experimental Evaluation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-2): 594-601 (2013) - 2012
- [c20]Mingmin Chi, Jiangfeng Bao, Xintao Chen, Jón Atli Benediktsson
Input-output-consistent domain adaptation algorithm for remote sensing data classification. IGARSS 2012: 4343-4346 - [c19]Huijun He, Mingmin Chi, Wenqiang Zhang:
A kernel fused perceptron for the online classification of large-scale data. BigMine 2012: 118-124 - [c18]Mingmin Chi, Jun Liu, Huijun He, Jiangfeng Bao, Yangyong Zhu:
Construction of Chinese A-shares Network Using Latent Dirichlet Allocation. Web Intelligence 2012: 45-49 - [c17]Jiangfeng Bao, Mingmin Chi, Jón Atli Benediktsson
Spectral derivative features for supervised classification of remote sensing data: An experimental evaluation. WHISPERS 2012: 1-4 - 2011
- [c16]Mingmin Chi, Jun Liu, Jiangfeng Bao, Jón Atli Benediktsson
Scalable semi-supervised classification of hyperspectral remote sensing data with spectral and spatial information. IGARSS 2011: 1700-1703 - [c15]Mingmin Chi, Huijun He:
Nonlinear Online Classificatand Michion Algorithm with Probability Margin. ACML 2011: 33-46 - 2010
- [c14]Mingmin Chi, Xisheng He, Shipeng Yu:
Mixture model label propagation. CIKM 2010: 1889-1892 - [c13]Yahan Zhou, Mingmin Chi, Cheng Jin
A Fast Video Copy Detection Approach by Dynamic Programming. PCM (1) 2010: 558-567
2000 – 2009
- 2009
- [j5]Mingmin Chi, Qian Kun, Jón Atli Benediktsson
Ensemble Classification Algorithm for Hyperspectral Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 6(4): 762-766 (2009) - [c12]Juyang Weng, Yi Shen, Mingmin Chi, Xiangyang Xue:
Temporal context as cortical spatial codes. IJCNN 2009: 3348-3355 - [c11]Mingmin Chi, Youdong Miao, Youze Tang, Jón Atli Benediktsson
Hierarchical Ensemble Support Cluster Machine. MCS 2009: 252-261 - [c10]Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, Xiangyang Xue:
Web image retrieval reranking with multi-view clustering. WWW 2009: 1189-1190 - 2008
- [c9]Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo:
MTForest: Ensemble Decision Trees based on Multi-Task Learning. ECAI 2008: 122-126 - [c8]Mingmin Chi, Qun Qian, Jón Atli Benediktsson
Cluster-Based Ensemble Classification for Hyperspectral Remote Sensing Images. IGARSS (1) 2008: 209-212 - 2007
- [j4]Mingmin Chi, Lorenzo Bruzzone
Semisupervised Classification of Hyperspectral Images by SVMs Optimized in the Primal. IEEE Trans. Geosci. Remote. Sens. 45(6-2): 1870-1880 (2007) - [c7]Wei Zhang, Xiangyang Xue, Zichen Sun, Yue-Fei Guo, Mingmin Chi, Hong Lu:
Efficient Feature Extraction for Image Classification. ICCV 2007: 1-8 - [c6]Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue:
Support cluster machine. ICML 2007: 505-512 - [c5]Daqi Xu, Guoqiang Ni, Tao Jiang, Lili Jiang, Mingmin Chi:
Integration of field work and hyperspectral data for oil and gas exploration. IGARSS 2007: 3194-3197 - [c4]Mingmin Chi, Lorenzo Bruzzone
Classification of hyperspectral data by continuation semi-supervised SVM. IGARSS 2007: 3794-3797 - [c3]Ilya Zaihrayeu, Lei Sun, Fausto Giunchiglia, Wei Pan, Qi Ju, Mingmin Chi, Xuanjing Huang:
From Web Directories to Ontologies: Natural Language Processing Challenges. ISWC/ASWC 2007: 623-636 - 2006
- [b1]Mingmin Chi:
Advanced semi-supervised techniques for the classification of remote sensing data. University of Trento, Italy, 2006 - [j3]Mingmin Chi, Lorenzo Bruzzone
An ensemble-driven k-NN approach to ill-posed classification problems. Pattern Recognit. Lett. 27(4): 301-307 (2006) - [j2]Lorenzo Bruzzone
A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 44(11-2): 3363-3373 (2006) - [c2]Olivier Chapelle, Mingmin Chi, Alexander Zien:
A continuation method for semi-supervised SVMs. ICML 2006: 185-192 - 2005
- [j1]Mingmin Chi, Lorenzo Bruzzone
A semilabeled-sample-driven bagging technique for ill-posed classification problems. IEEE Geosci. Remote. Sens. Lett. 2(1): 69-73 (2005) - [c1]Lorenzo Bruzzone
Transductive SVMs for semisupervised classification of hyperspectral data. IGARSS 2005: 4
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last updated on 2024-11-25 22:45 CET by the dblp team
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