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Picture for C. -C. Jay Kuo

UHP-SOT: An Unsupervised High-Performance Single Object Tracker


Oct 05, 2021
Zhiruo Zhou, Hongyu Fu, Suya You, Christoph C. Borel-Donohue, C. -C. Jay Kuo


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GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds


Sep 24, 2021
Min Zhang, Pranav Kadam, Shan Liu, C. -C. Jay Kuo

* 10 pages, 3 figures 

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BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis


Aug 10, 2021
Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C. -C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang

* 10 pages, 8 figures, Accepted in ICCV workshop 

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Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate


Aug 02, 2021
Xiaofeng Liu, Zhenhua Guo, Site Li, Fangxu Xing, Jane You, C. -C. Jay Kuo, Georges El Fakhri, Jonghye Woo

* Accepted to ICCV 2021 

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Bridging Gap between Image Pixels and Semantics via Supervision: A Survey


Jul 29, 2021
Jiali Duan, C. -C. Jay Kuo


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Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI


Jul 22, 2021
Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, Weichung Wang, C. -C. Jay Kuo, Georges El Fakhri, Jonghye Woo

* 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021) 

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TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation


Jul 08, 2021
Xuejing Lei, Ganning Zhao, Kaitai Zhang, C. -C. Jay Kuo

* arXiv admin note: substantial text overlap with arXiv:2009.01376 

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E-PixelHop: An Enhanced PixelHop Method for Object Classification


Jul 07, 2021
Yijing Yang, Vasileios Magoulianitis, C. -C. Jay Kuo

* 12 pages, 7 figures 

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AnomalyHop: An SSL-based Image Anomaly Localization Method


May 08, 2021
Kaitai Zhang, Bin Wang, Wei Wang, Fahad Sohrab, Moncef Gabbouj, C. -C. Jay Kuo

* 5 pages, 3 figures 

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Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations


Apr 14, 2021
Kaitai Zhang, Bin Wang, Hong-Shuo Chen, Ye Wang, Shiyu Mou, C. -C. Jay Kuo

* 7 pages, 6 figures 

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Dynamic Texture Synthesis By Incorporating Long-range Spatial and Temporal Correlations


Apr 13, 2021
Kaitai Zhang, Bin Wang, Hong-Shuo Chen, Ye Wang, Shiyu Mou, C. -C. Jay Kuo

* 7 pages, 6 figures 

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CalibDNN: Multimodal Sensor Calibration for Perception Using Deep Neural Networks


Mar 27, 2021
Ganning Zhao, Jiesi Hu, Suya You, C. -C. Jay Kuo


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R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method


Mar 15, 2021
Pranav Kadam, Min Zhang, Shan Liu, C. -C. Jay Kuo

* 13 pages, 11 figures 

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DefakeHop: A Light-Weight High-Performance Deepfake Detector


Mar 11, 2021
Hong-Shuo Chen, Mozhdeh Rouhsedaghat, Hamza Ghani, Shuowen Hu, Suya You, C. -C. Jay Kuo

* Accepted at ICME 2021 

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Successive Subspace Learning: An Overview


Feb 27, 2021
Mozhdeh Rouhsedaghat, Masoud Monajatipoor, Zohreh Azizi, C. -C. Jay Kuo

* 4 pages, 1 figure 

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A Machine Learning Approach to Optimal Inverse Discrete Cosine Transform (IDCT) Design


Jan 31, 2021
Yifan Wang, Zhanxuan Mei, Chia-Yang Tsai, Ioannis Katsavounidis, C. -C. Jay Kuo

* conference 

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Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology


Jan 17, 2021
Xiaofeng Liu, Fangxu Xing, Chao Yang, C. -C. Jay Kuo, Georges ElFakhri, Jonghye Woo

* Published at MICCAI Brainles 2020 

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VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI


Jan 13, 2021
Xiaofeng Liu, Fangxu Xing, Chao Yang, C. -C. Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo


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Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis


Jan 11, 2021
Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C. -C. Jay Kuo, Georges El Fakhri, Jonghye Woo

* Accepted to AAAI 2021 

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GraphHop: An Enhanced Label Propagation Method for Node Classification


Jan 07, 2021
Tian Xie, Bin Wang, C. -C. Jay Kuo


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Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation


Jan 04, 2021
Jenn-Bing Ong, Wee-Keong Ng, Ivan Tjuawinata, Chao Li, Jielin Yang, Sai None Myne, Huaxiong Wang, Kwok-Yan Lam, C. -C. Jay Kuo


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Explainable Machine Learning based Transform Coding for High Efficiency Intra Prediction


Dec 21, 2020
Na Li, Yun Zhang, C. -C. Jay Kuo

* 13 pages, 9 figures 

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Low-Resolution Face Recognition In Resource-Constrained Environments


Nov 23, 2020
Mozhdeh Rouhsedaghat, Yifan Wang, Shuowen Hu, Suya You, C. -C. Jay Kuo

* 11 pages, 5 figures, under consideration at Pattern Recognition Letters 

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SLADE: A Self-Training Framework For Distance Metric Learning


Nov 20, 2020
Jiali Duan, Yen-Liang Lin, Son Tran, Larry Davis, C. -C. Jay Kuo


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Point Cloud Attribute Compression via Successive Subspace Graph Transform


Oct 29, 2020
Yueru Chen, Yiting Shao, Jing Wang, Ge Li, C. -C. Jay Kuo

* Accepted by VCIP 2020 

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Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach


Oct 15, 2020
Ruiyuan Lin, Suya You, Raghuveer Rao, C. -C. Jay Kuo

* 5 pages, 3 figures, submitted to IEEE Signal Processing Letters 

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Inductive Learning on Commonsense Knowledge Graph Completion


Sep 19, 2020
Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C. -C. Jay Kuo

* 10 pages, 3 figures, 7 tables 

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From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design


Sep 09, 2020
Ruiyuan Lin, Zhiruo Zhou, Suya You, Raghuveer Rao, C. -C. Jay Kuo


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