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ORCIDC.-C. Jay Kuo
Chung-Chieh Jay Kuo
Person information
- affiliation: University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
- affiliation (former): University of California, Los Angeles, CA, USA
- affiliation (former): Massachusetts Institute of Technology, Cambridge, MA, USA
- affiliation (former): National Taiwan University, Taipei
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2020 – today
- 2023
[j285]C.-C. Jay Kuo, Azad M. Madni:
Green learning: Introduction, examples and outlook. J. Vis. Commun. Image Represent. 90: 103685 (2023)- [j284]Zhisen Tang, Hanli Wang
, Xiaokai Yi, Yun Zhang, Sam Kwong, C.-C. Jay Kuo:
Joint Graph Attention and Asymmetric Convolutional Neural Network for Deep Image Compression. IEEE Trans. Circuits Syst. Video Technol. 33(1): 421-433 (2023) - [i152]Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI. CoRR abs/2301.08959 (2023) - [i151]Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C.-C. Jay Kuo:
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification. CoRR abs/2302.11506 (2023) - [i150]Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo:
LSR: A Light-Weight Super-Resolution Method. CoRR abs/2302.13596 (2023) - [i149]Pranav Kadam, Jiahao Gu, Shan Liu, C.-C. Jay Kuo:
PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds. CoRR abs/2302.14193 (2023) - [i148]Chengwei Wei, Yun-Cheng Wang, Bin Wang, C.-C. Jay Kuo:
An Overview on Language Models: Recent Developments and Outlook. CoRR abs/2303.05759 (2023) - [i147]Min Zhang, Jintang Xue, Pranav Kadam, Hardik Prajapati, Shan Liu, C.-C. Jay Kuo:
A Tiny Machine Learning Model for Point Cloud Object Classification. CoRR abs/2303.10898 (2023) - 2022
- [j283]Xiaofeng Liu, Chao Yang, Jane You, C.-C. Jay Kuo, B. V. K. Vijaya Kumar:
Mutual Information Regularized Feature-Level Frankenstein for Discriminative Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5243-5260 (2022) - [j282]Ronald Salloum, C.-C. Jay Kuo:
cPCA++: An efficient method for contrastive feature learning. Pattern Recognit. 124: 108378 (2022) - [j281]Kaitai Zhang, Bin Wang, C.-C. Jay Kuo:
PEDENet: Image anomaly localization via patch embedding and density estimation. Pattern Recognit. Lett. 153: 144-150 (2022) - [j280]Xiou Ge, Yuncheng Wang, Bin Wang, C.-C. Jay Kuo:
CORE: A knowledge graph entity type prediction method via complex space regression and embedding. Pattern Recognit. Lett. 157: 97-103 (2022) - [j279]Yuncheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo:
KGBoost: A classification-based knowledge base completion method with negative sampling. Pattern Recognit. Lett. 157: 104-111 (2022) - [j278]Chengwei Wei, Bin Wang, C.-C. Jay Kuo:
Task-specific dependency-based word embedding methods. Pattern Recognit. Lett. 159: 174-180 (2022) - [j277]Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds. Pattern Recognit. Lett. 164: 9-15 (2022) - [j276]Yeji Shen, Yuhang Song, Chihao Wu, C.-C. Jay Kuo:
TBAL: Two-stage batch-mode active learning for image classification. Signal Process. Image Commun. 106: 116731 (2022) - [j275]Na Li, Yun Zhang, C.-C. Jay Kuo:
High Efficiency Intra Video Coding Based on Data-Driven Transform. IEEE Trans. Broadcast. 68(2): 383-396 (2022) - [j274]Yun Zhang, Huanhua Liu, You Yang, Xiaoping Fan, Sam Kwong, C.-C. Jay Kuo:
Deep Learning Based Just Noticeable Difference and Perceptual Quality Prediction Models for Compressed Video. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1197-1212 (2022) - [j273]Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo:
R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method. IEEE Trans. Image Process. 31: 2710-2725 (2022) - [j272]Xiaofeng Liu, Fangxu Xing, Chao Yang, Chung-Chieh Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo:
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI. IEEE J. Biomed. Health Informatics 26(3): 1128-1139 (2022) - [j271]Fangxu Xing, Xiaofeng Liu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Brain MR Atlas Construction Using Symmetric Deep Neural Inpainting. IEEE J. Biomed. Health Informatics 26(7): 3185-3196 (2022) - [c568]Bin Wang, C.-C. Jay Kuo, Haizhou Li:
Just Rank: Rethinking Evaluation with Word and Sentence Similarities. ACL (1) 2022: 6060-6077 - [c567]Yao Zhu, Xinyu Wang, Hong-Shuo Chen, Ronald Salloum, C.-C. Jay Kuo:
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector. ICASSP 2022: 8947-8951 - [c566]Vasileios Magoulianitis, Peida Han, Yijing Yang, C.-C. Jay Kuo:
An Unsupervised Parameter-Free Nuclei Segmentation Method for Histology Images. ICIP 2022: 226-230 - [c565]Pranav Kadam, Qingyang Zhou, Shan Liu, C.-C. Jay Kuo:
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation. ICIP 2022: 1596-1600 - [c564]Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee:
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. ICPR 2022: 4779-4785 - [c563]Hong-Shuo Chen, Kaitai Zhang, Shuowen Hu, Suya You, C.-C. Jay Kuo:
Fake Satellite Image Detection via Parallel Subspace Learning (PSL). ISCAS 2022: 1502-1506 - [c562]Xuejing Lei, Wei Wang, C.-C. Jay Kuo:
GENHOP: An Image Generation Method Based on Successive Subspace Learning. ISCAS 2022: 3314-3318 - [c561]Vasileios Magoulianitis, Yijing Yang, C.-C. Jay Kuo:
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation. IVMSP 2022: 1-5 - [c560]Xiaofeng Liu, Fangxu Xing, Nadya Shusharina, Ruth Lim, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
ACT: Semi-supervised Domain-Adaptive Medical Image Segmentation with Asymmetric Co-training. MICCAI (5) 2022: 66-76 - [c559]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, C.-C. Jay Kuo, Aichi Chien, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. MICCAI (5) 2022: 725-734 - [c558]Chengwei Wei, C.-C. Jay Kuo, Rafael Luiz Testa, Ariane Machado-Lima, Fátima L. S. Nunes:
ExpressionHop: A Lightweight Human Facial Expression Classifier. MIPR 2022: 198-203 - [c557]Min Zhang, Zhihong Pan, Xin Zhou, C.-C. Jay Kuo:
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network. ACM Multimedia 2022: 5602-5610 - [c556]Pranav Kadam, Min Zhang, Jiahao Gu, Shan Liu, C.-C. Jay Kuo:
GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method. MMSP 2022: 1-6 - [c555]Zhanxuan Mei, Yun-Cheng Wang, Xingze He, C.-C. Jay Kuo:
GreenBIQA: A Lightweight Blind Image Quality Assessment Method. MMSP 2022: 1-6 - [c554]Zhiruo Zhou, Hongyu Fu, Suya You, C.-C. Jay Kuo:
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences. MMSP 2022: 1-6 - [i146]Pranav Kadam, Qingyang Zhou, Shan Liu, C.-C. Jay Kuo:
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation. CoRR abs/2202.07843 (2022) - [i145]Bin Wang, C.-C. Jay Kuo, Haizhou Li:
Just Rank: Rethinking Evaluation with Word and Sentence Similarities. CoRR abs/2203.02679 (2022) - [i144]Yijing Yang, Wei Wang, Hongyu Fu, C.-C. Jay Kuo:
On Supervised Feature Selection from High Dimensional Feature Spaces. CoRR abs/2203.11924 (2022) - [i143]Vasileios Magoulianitis, Yijing Yang, C.-C. Jay Kuo:
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation. CoRR abs/2203.14887 (2022) - [i142]Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo:
GraphHop++: New Insights into GraphHop and Its Enhancement. CoRR abs/2204.08646 (2022) - [i141]Hong-Shuo Chen, Shuowen Hu, Suya You, C.-C. Jay Kuo:
DefakeHop++: An Enhanced Lightweight Deepfake Detector. CoRR abs/2205.00211 (2022) - [i140]Hongyu Fu, Yijing Yang, Vinod K. Mishra, C.-C. Jay Kuo:
Subspace Learning Machine (SLM): Methodology and Performance. CoRR abs/2205.05296 (2022) - [i139]Zohreh Azizi, C.-C. Jay Kuo:
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation. CoRR abs/2206.00162 (2022) - [i138]Xiaofeng Liu, Fangxu Xing, Nadya Shusharina, Ruth Lim, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training. CoRR abs/2206.02288 (2022) - [i137]Yijing Yang, Hongyu Fu, C.-C. Jay Kuo:
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking. CoRR abs/2206.09061 (2022) - [i136]Chengwei Wei, Bin Wang, C.-C. Jay Kuo:
SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity Evaluation. CoRR abs/2206.10029 (2022) - [i135]Xiou Ge, Yuncheng Wang, Bin Wang, C.-C. Jay Kuo:
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations. CoRR abs/2207.05324 (2022) - [i134]Zhiruo Zhou, Hongyu Fu, Suya You, C.-C. Jay Kuo:
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences. CoRR abs/2207.07629 (2022) - [i133]Min Zhang, Zhihong Pan, Xin Zhou, C.-C. Jay Kuo:
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network. CoRR abs/2207.11844 (2022) - [i132]Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee:
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. CoRR abs/2208.00475 (2022) - [i131]Yijing Yang, Vasileios Magoulianitis, Xinyu Wang, C.-C. Jay Kuo:
Statistical Attention Localization (SAL): Methodology and Application to Object Classification. CoRR abs/2208.01823 (2022) - [i130]Yilei Zeng, Jiali Duan, Yang Li, Emilio Ferrara, Lerrel Pinto, C.-C. Jay Kuo, Stefanos Nikolaidis:
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment. CoRR abs/2208.02932 (2022) - [i129]Hongyu Fu, Yijing Yang, Yuhuai Liu, Joseph Lin, Ethan Harrison, Vinod K. Mishra, C.-C. Jay Kuo:
Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing. CoRR abs/2208.07023 (2022) - [i128]Xiaofeng Liu, Fangxu Xing, Jia You, Jun Lu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Subtype-Aware Dynamic Unsupervised Domain Adaptation. CoRR abs/2208.07754 (2022) - [i127]Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Unsupervised Domain Adaptation for Segmentation with Black-box Source Model. CoRR abs/2208.07769 (2022) - [i126]Yuncheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo:
GreenKGC: A Lightweight Knowledge Graph Completion Method. CoRR abs/2208.09137 (2022) - [i125]Mozhdeh Rouhsedaghat, Masoud Monajatipoor, Kai-Wei Chang, C.-C. Jay Kuo, Iacopo Masi:
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier. CoRR abs/2209.11549 (2022) - [i124]Yifan Wang, Zhanxuan Mei, Ioannis Katsavounidis, C.-C. Jay Kuo:
Lightweight Image Codec via Multi-Grid Multi-Block-Size Vector Quantization (MGBVQ). CoRR abs/2209.12139 (2022) - [i123]C.-C. Jay Kuo, Azad M. Madni:
Green Learning: Introduction, Examples and Outlook. CoRR abs/2210.00965 (2022) - [i122]Xuejing Lei, Wei Wang, C.-C. Jay Kuo:
GENHOP: An Image Generation Method Based on Successive Subspace Learning. CoRR abs/2210.03689 (2022) - [i121]Ruiyuan Lin, Sheng Liu, Jun Jiang, Shujun Li, Chengqing Li, C.-C. Jay Kuo:
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization Problem. CoRR abs/2211.01096 (2022) - [i120]Zohreh Azizi, C.-C. Jay Kuo:
SALVE: Self-supervised Adaptive Low-light Video Enhancement. CoRR abs/2212.11484 (2022) - 2021
- [j270]Ye Wang, Jongmoo Choi, Yueru Chen, Siyang Li, Qin Huang, Kaitai Zhang, Ming-Sui Lee, C.-C. Jay Kuo:
Unsupervised video object segmentation with distractor-aware online adaptation. J. Vis. Commun. Image Represent. 74: 102953 (2021) - [j269]Mozhdeh Rouhsedaghat, Yifan Wang, Shuowen Hu, Suya You, C.-C. Jay Kuo:
Low-resolution face recognition in resource-constrained environments. Pattern Recognit. Lett. 149: 193-199 (2021) - [j268]Ruiyuan Lin, Suya You, Raghuveer Rao, C.-C. Jay Kuo:
On Relationship of Multilayer Perceptrons and Piecewise Polynomial Approximators. IEEE Signal Process. Lett. 28: 1813-1817 (2021) - [j267]Yichen Ding, Varun Gudapati, Ruiyuan Lin, Yanan Fei, René R. Sevag Packard, Sibo Song, Chih-Chiang Chang, Kyung In Baek, Zhaoqiang Wang, Mehrdad Roustaei, Dengfeng Kuang, C.-C. Jay Kuo, Tzung K. Hsiai:
Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation. IEEE Trans. Biomed. Eng. 68(1): 225-235 (2021) - [j266]Xinfeng Zhang, Sam Kwong, C.-C. Jay Kuo:
Data-Driven Transform-Based Compressed Image Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3352-3365 (2021) - [j265]Zhu Li, Shan Liu, Frédéric Dufaux, Li Li, Ge Li, C.-C. Jay Kuo:
Guest Editorial Introduction to the Special Issue on Recent Advances in Point Cloud Processing and Compression. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4555-4560 (2021) - [j264]Zhengyi Luo, Chen Zhu, Yan Huang, Rong Xie, Li Song, C.-C. Jay Kuo:
VMAF Oriented Perceptual Coding Based on Piecewise Metric Coupling. IEEE Trans. Image Process. 30: 5109-5121 (2021) - [j263]Bing Li, Chia-Wen Lin, Cheng Zheng, Shan Liu, Bernard Ghanem, Wen Gao, C.-C. Jay Kuo:
Shape-Preserving Stereo Object Remapping via Object-Consistent Grid Warping. IEEE Trans. Image Process. 30: 5889-5904 (2021) - [j262]Chao Yang, Xinfeng Zhang, Ping An, Liquan Shen, C.-C. Jay Kuo:
Blind Image Quality Assessment Based on Multi-scale KLT. IEEE Trans. Multim. 23: 1557-1566 (2021) - [j261]Tao Tian, Hanli Wang, Sam Kwong, C.-C. Jay Kuo:
Perceptual Image Compression with Block-Level Just Noticeable Difference Prediction. ACM Trans. Multim. Comput. Commun. Appl. 16(4): 126:1-126:15 (2021) - [c553]Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis. AAAI 2021: 2189-2197 - [c552]Yijing Yang, Vasileios Magoulianitis, C.-C. Jay Kuo:
E-PixelHop: An Enhanced PixelHop Method for Object Classification. APSIPA ASC 2021: 1475-1482 - [c551]Jiali Duan, Yen-Liang Lin, Son Dinh Tran, Larry S. Davis, C.-C. Jay Kuo:
SLADE: A Self-Training Framework for Distance Metric Learning. CVPR 2021: 9644-9653 - [c550]Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, Weichung Wang, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI. EMBC 2021: 3535-3538 - [c549]Yan Huang, Bin Wang, C.-C. Jay Kuo, Hui Yuan, Jingliang Peng:
Hierarchical Bit-Wise Differential Coding (HBDC) of Point Cloud Attributes. ICASSP 2021: 4215-4219 - [c548]Bing Li, Chia-Wen Lin, Cheng Zheng, Shan Liu, Junsong Yuan, Bernard Ghanem, C.-C. Jay Kuo:
High Quality Disparity Remapping with Two-Stage Warping. ICCV 2021: 2249-2258 - [c547]Xiaofeng Liu, Zhenhua Guo, Site Li, Fangxu Xing, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate. ICCV 2021: 10347-10356 - [c546]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. ICCVW 2021: 3327-3336 - [c545]Hong-Shuo Chen, Mozhdeh Rouhsedaghat, Hamza Ghani, Shuowen Hu, Suya You, C.-C. Jay Kuo:
DefakeHop: A Light-Weight High-Performance Deepfake Detector. ICME 2021: 1-6 - [c544]Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo:
Inductive Learning on Commonsense Knowledge Graph Completion. IJCNN 2021: 1-8 - [c543]Kaitai Zhang, Bin Wang, Wei Wang, Fahad Sohrab, Moncef Gabbouj, C.-C. Jay Kuo:
AnomalyHop: An SSL-based Image Anomaly Localization Method. VCIP 2021: 1-5 - [c542]Zhiruo Zhou, Hongyu Fu, Suya You, Christoph Borel-Donohue, C.-C. Jay Kuo:
UHP-SOT: An Unsupervised High-Performance Single Object Tracker. VCIP 2021: 1-5 - [i119]Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis. CoRR abs/2101.00318 (2021) - [i118]Tian Xie, Bin Wang, C.-C. Jay Kuo:
GraphHop: An Enhanced Label Propagation Method for Node Classification. CoRR abs/2101.02326 (2021) - [i117]Jenn-Bing Ong, Wee Keong Ng, Ivan Tjuawinata, Chao Li, Jielin Yang, Sai None Myne, Huaxiong Wang, Kwok-Yan Lam, C.-C. Jay Kuo:
Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation. CoRR abs/2101.04194 (2021) - [i116]Xiaofeng Liu, Fangxu Xing, Chao Yang, C.-C. Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo:
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI. CoRR abs/2101.05131 (2021) - [i115]Xiaofeng Liu, Fangxu Xing, Chao Yang, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology. CoRR abs/2101.06775 (2021) - [i114]Yifan Wang, Zhanxuan Mei, Chia-Yang Tsai, Ioannis Katsavounidis, C.-C. Jay Kuo:
A Machine Learning Approach to Optimal Inverse Discrete Cosine Transform (IDCT) Design. CoRR abs/2102.00502 (2021) - [i113]Mozhdeh Rouhsedaghat, Masoud Monajatipoor, Zohreh Azizi, C.-C. Jay Kuo:
Successive Subspace Learning: An Overview. CoRR abs/2103.00121 (2021) - [i112]Hong-Shuo Chen, Mozhdeh Rouhsedaghat, Hamza Ghani, Shuowen Hu, Suya You, C.-C. Jay Kuo:
DefakeHop: A Light-Weight High-Performance Deepfake Detector. CoRR abs/2103.06929 (2021) - [i111]Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo:
R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method. CoRR abs/2103.08129 (2021) - [i110]Ganning Zhao, Jiesi Hu, Suya You, C.-C. Jay Kuo:
CalibDNN: Multimodal Sensor Calibration for Perception Using Deep Neural Networks. CoRR abs/2103.14793 (2021) - [i109]Jiesi Hu, Ganning Zhao, Suya You, C.-C. Jay Kuo:
Evaluation of Multimodal Semantic Segmentation using RGB-D Data. CoRR abs/2103.16758 (2021) - [i108]Kaitai Zhang, Bin Wang, Hong-Shuo Chen, Ye Wang, Shiyu Mou, C.-C. Jay Kuo:
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations. CoRR abs/2104.05940 (2021) - [i107]Kaitai Zhang, Bin Wang, Wei Wang, Fahad Sohrab, Moncef Gabbouj, C.-C. Jay Kuo:
AnomalyHop: An SSL-based Image Anomaly Localization Method. CoRR abs/2105.03797 (2021) - [i106]Yijing Yang, Vasileios Magoulianitis, C.-C. Jay Kuo:
E-PixelHop: An Enhanced PixelHop Method for Object Classification. CoRR abs/2107.02966 (2021) - [i105]Xuejing Lei, Ganning Zhao, Kaitai Zhang, C.-C. Jay Kuo:
TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation. CoRR abs/2107.04020 (2021) - [i104]Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, Weichung Wang, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI. CoRR abs/2107.10718 (2021) - [i103]Xiaofeng Liu, Zhenhua Guo, Site Li, Fangxu Xing, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate. CoRR abs/2107.13469 (2021) - [i102]Jiali Duan, C.-C. Jay Kuo:
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey. CoRR abs/2107.13757 (2021) - [i101]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. CoRR abs/2108.04938 (2021) - [i100]Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds. CoRR abs/2109.11835 (2021) - [i99]Zhiruo Zhou, Hongyu Fu, Suya You, Christoph Borel-Donohue, C.-C. Jay Kuo:
UHP-SOT: An Unsupervised High-Performance Single Object Tracker. CoRR abs/2110.01812 (2021) - [i98]Vasileios Magoulianitis, Peida Han, Yijing Yang, C.-C. Jay Kuo:
Unsupervised Data-Driven Nuclei Segmentation For Histology Images. CoRR abs/2110.07147 (2021) - [i97]Hong-Shuo Chen, Kaitai Zhang, Shuowen Hu, Suya You, C.-C. Jay Kuo:
Geo-DefakeHop: High-Performance Geographic Fake Image Detection. CoRR abs/2110.09795 (2021) - [i96]Chengwei Wei, Bin Wang, C.-C. Jay Kuo:
Task-Specific Dependency-based Word Embedding Methods. CoRR abs/2110.13376 (2021) - [i95]Kaitai Zhang, Bin Wang, C.-C. Jay Kuo:
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation. CoRR abs/2110.15525 (2021) - [i94]Yao Zhu, Xinyu Wang, Hong-Shuo Chen, Ronald Salloum, C.-C. Jay Kuo:
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector. CoRR abs/2111.04012 (2021) - [i93]Zhiruo Zhou, Hongyu Fu, Suya You, C.-C. Jay Kuo:
Unsupervised Lightweight Single Object Tracking with UHP-SOT++. CoRR abs/2111.07548 (2021) - [i92]Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo:
GPCO: An Unsupervised Green Point Cloud Odometry Method. CoRR abs/2112.04054 (2021) - [i91]Yuncheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo:
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling. CoRR abs/2112.09340 (2021) - [i90]