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Ruixuan Wang
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2020 – today
- 2024
- [j23]Yufei Shi, Shishi Tang, Yuxuan Li, Zhipeng He, Shengsheng Tang, Ruixuan Wang
, Wei-Shi Zheng, Ziyi Chen, Yi Zhou:
Continual learning for seizure prediction via memory projection strategy. Comput. Biol. Medicine 181: 109028 (2024) - [j22]Guijin Han, Ruixuan Wang, Wuyan Xu, Jun Li:
Night construction site detection based on ghost-YOLOX. Connect. Sci. 36(1) (2024) - [j21]Wei Shi, Wentao Zhang, Wei-Shi Zheng, Ruixuan Wang:
PAMI: Partition Input and Aggregate Outputs for Model Interpretation. Pattern Recognit. 145: 109898 (2024) - [j20]Ruixuan Wang
A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection. IEEE Trans. Computers 73(6): 1559-1574 (2024) - [c80]Dalong Chen, Jianjia Zhang, Wei-Shi Zheng, Ruixuan Wang:
FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging. AAAI 2024: 1019-1027 - [c79]Jiankang Chen, Tong Zhang
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection. AAAI 2024: 1100-1109 - [c78]Xiaoyuan Guan
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection. AAAI 2024: 19858-19866 - [c77]Dongwei Xu
MTSC2: Multi-task Survival Prediction on Colorectal CT Images with Clinical Information. CACML 2024: 143-149 - [c76]Shiqi Chen
CVMIL: Cluster Variance Multiple Instance Learning for Whole Slide Images Survival Prediction. CVIPPR 2024: 15 - [c75]Ruixuan Wang, Wengying Wen, Kyle Juretus, Xun Jiao:
PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing. DATE 2024: 1-6 - [c74]Chao Wu, Xiaobin Chang, Ruixuan Wang:
Generalizable Two-Branch Framework for Image Class-Incremental Learning. ICASSP 2024: 4265-4269 - [c73]Qi Wu, Chengjia Wang, Xiaohui Li, Guangxing Wu, Marta Vallejo
Audio-Aided Learning Framework for Image Classification with Limited Training Images. ICASSP 2024: 4975-4979 - [c72]Zejun Ye, Defeng Zhao, Wentao Zhang, Ruixuan Wang:
CtF: Mitigating Visual Confusion in Continual Learning Through a Coarse-To-Fine Screening. ICIC (6) 2024: 134-146 - [c71]Xiaoyuan Guan, Zhiyong Gan, Ling Deng, Wei Shi, Jiankang Chen, Shenshen Bu, Chunliang Zhao, Jianfang Hu, Yuren Zhou, Wei-Shi Zheng, Ruixuan Wang:
Out-of-Distribution Detection by Principal Component Correspondence. ICME 2024: 1-6 - [c70]Guangxing Wu, Junxi Chen, Qiu Li, Wentao Zhang, Wei-Shi Zheng, Ruixuan Wang:
Region Attention Fine-tuning with CLIP for Few-shot Classification. ICME 2024: 1-6 - [c69]Yujun Huang, Wentao Zhang, Ruixuan Wang:
Expand and Merge: Continual Learning with the Guidance of Fixed Text Embedding Space. IJCNN 2024: 1-8 - [c68]Yuanhang Zheng, Yiqiao Qiu, Haoxuan Che, Hao Chen, Wei-Shi Zheng, Ruixuan Wang:
Deep Model Reference: Simple Yet Effective Confidence Estimation for Image Classification. MICCAI (10) 2024: 175-185 - [c67]Xuyang Li, Weizhuo Zhang, Yue Yu, Wei-Shi Zheng, Tong Zhang, Ruixuan Wang:
SiFT: A Serial Framework with Textual Guidance for Federated Learning. MICCAI (10) 2024: 655-665 - [c66]Jiankang Chen
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector. ACM Multimedia 2024: 1981-1990 - [c65]Jingwei Li, Haipeng Zhang, Ruixuan Wang, Zhensheng Jia, Qing Li:
Silicon Carbide Soliton Microcomb Generation for Narrow-grid Optical Communications. OFC 2024: 1-3 - [c64]Peng Wang, Jiankang Chen, Yuren Zhou, Ruixuan Wang:
EFOA: Enhancing Out-of-Distribution Detection by Fake Outlier Augmentation. PRCV (3) 2024: 89-103 - [c63]Jing Luo, Guangxing Wu, Hongmei Liu, Ruixuan Wang:
Fine-Tuning of CLIP in Few-Shot Scenarios via Supervised Contrastive Learning. PRCV (3) 2024: 104-117 - [c62]Weizhuo Zhang, Jiankang Chen, Wentao Zhang, Zhijun Tan, Ruixuan Wang:
Enhancing Task Identification Through Pseudo-OOD Features for Class-Incremental Learning. PRCV (3) 2024: 496-509 - [i23]Fudan Zheng, Mengfei Li, Ying Wang, Weijiang Yu, Ruixuan Wang, Zhiguang Chen, Nong Xiao, Yutong Lu:
Intensive Vision-guided Network for Radiology Report Generation. CoRR abs/2402.03754 (2024) - [i22]Chao Wu, Xiaobin Chang, Ruixuan Wang:
Generalizable Two-Branch Framework for Image Class-Incremental Learning. CoRR abs/2402.18086 (2024) - [i21]Xuchen Xie, Yiqiao Qiu, Run Lin, Weishi Zheng, Ruixuan Wang:
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection. CoRR abs/2411.00430 (2024) - 2023
- [j19]Ruixuan Wang, Dongning Ma
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. IEEE Embed. Syst. Lett. 15(1): 37-40 (2023) - [j18]Ruixuan Wang, Yuan Liu, Mengxue Wang, Linteng Yang, Hanwen Zheng, Huicong Fang:
Effects of Virtual Map Navigation Mode on Route Retracing. Int. J. Hum. Comput. Interact. 39(12): 2468-2477 (2023) - [j17]Ruixuan Wang
An evaluation of copy and paste events in electronic notes of patients with hospital acquired conditions. Int. J. Medical Informatics 170: 104934 (2023) - [j16]Jiaxin Zhuang
Class attention to regions of lesion for imbalanced medical image recognition. Neurocomputing 555: 126577 (2023) - [j15]Ruixuan Wang, Zhikang Liu, Jiahao Gong, Qingping Zhou
An Uncertainty-Guided Deep Learning Method Facilitates Rapid Screening of CYP3A4 Inhibitors. J. Chem. Inf. Model. 63(24): 7699-7710 (2023) - [j14]Chenghu Dai, Yuanyuan Du, Qi Shi, Ruixuan Wang, Hao Zheng, Wenjuan Lu, Chunyu Peng, Licai Hao, Zhiting Lin, Xiulong Wu:
Bit-line leakage current tracking and self-compensation circuit for SRAM reliability design. Microelectron. J. 132: 105699 (2023) - [j13]Yiqiao Qiu
SATS: Self-attention transfer for continual semantic segmentation. Pattern Recognit. 138: 109383 (2023) - [j12]Kanghao Chen
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification. IEEE J. Biomed. Health Informatics 27(4): 2026-2036 (2023) - [j11]Yang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong, Wei-Shi Zheng, Ruixuan Wang
Continual learning with Bayesian model based on a fixed pre-trained feature extractor. Vis. Intell. 1(1) (2023) - [c61]Wei Shi
Local Adversarial Attacks for Understanding Model Decisions. AAIA 2023: 10-14 - [c60]Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang:
Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. ASP-DAC 2023: 553-560 - [c59]Defeng Zhao, Zejun Ye, Wei-Shi Zheng, Ruixuan Wang:
Class-specific Prompts in Vision Transformer for Continual Learning of New Diseases. BIBM 2023: 994-999 - [c58]Yang Yang, Ruixuan Wang, Tong Zhang
Semi-supervised Medical Image Segmentation via Feature-perturbed Consistency. BIBM 2023: 1635-1642 - [c57]Ruixuan Wang, Yue Qi, Mojtaba Vaezi, Xun Jiao, Moeness G. Amin
Strategies for Enhanced Signal Modulation Classifications Under Unknown Symbol Rates and Noise Conditions. ICASSP 2023: 1-5 - [c56]Xiaoyuan Guan, Zhouwu Liu, Wei-Shi Zheng, Yuren Zhou, Ruixuan Wang:
Revisit PCA-based technique for Out-of-Distribution Detection. ICCV 2023: 19374-19382 - [c55]Shan Ren, Ruixuan Wang, Yushan Ji, Chengying Liang:
A Synergistic Operation And Maintenance Service Method Of Complex Products Based On Knowledge Graph. ICNC-FSKD 2023: 1-6 - [c54]Wentao Zhang, Yujun Huang, Tong Zhang, Qingsong Zou, Wei-Shi Zheng, Ruixuan Wang:
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases. MICCAI (2) 2023: 68-78 - [c53]Guangxing Wu
Feature Adaptation with CLIP for Few-shot Classification. MMAsia 2023: 26:1-26:7 - [c52]Xuchen Xie, Junjie Xu, Ping Hu, Weizhuo Zhang, Yujun Huang, Wei-Shi Zheng, Ruixuan Wang:
Task-Incremental Medical Image Classification with Task-Specific Batch Normalization. PRCV (13) 2023: 309-320 - [i20]Kanghao Chen, Sijia Liu, Ruixuan Wang, Weishi Zheng:
Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning. CoRR abs/2301.07316 (2023) - [i19]Wei Shi, Wentao Zhang, Weishi Zheng, Ruixuan Wang:
PAMI: partition input and aggregate outputs for model interpretation. CoRR abs/2302.03318 (2023) - [i18]Wentao Zhang, Yujun Huang, Tong Zhang, Qingsong Zou, Wei-Shi Zheng, Ruixuan Wang:
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases. CoRR abs/2304.09042 (2023) - [i17]Jia-Xin Zhuang, Jiabin Cai, Jianguo Zhang, Wei-Shi Zheng, Ruixuan Wang:
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition. CoRR abs/2307.10036 (2023) - [i16]Zhuohao Sun, Yiqiao Qiu, Zhijun Tan, Weishi Zheng, Ruixuan Wang:
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection. CoRR abs/2310.18104 (2023) - [i15]Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis:
A Computing-in-Memory-based One-Class Hyperdimensional Computing Model for Outlier Detection. CoRR abs/2311.17852 (2023) - [i14]Xinyu Ren, Ruixuan Wang:
A Target Detection Algorithm in Traffic Scenes Based on Deep Reinforcement Learning. CoRR abs/2312.15606 (2023) - 2022
- [j10]Yueyang Hu, Chuanyu Tang, Wen Zhu, Hanjie Ye, Yuxing Lin, Ruixuan Wang, Tianjun Zhou, Sai Wen, Jian Yang, Chihua Fang
Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy. Comput. Biol. Medicine 148: 105896 (2022) - [j9]Rajendran Nirthika
Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study. Neural Comput. Appl. 34(7): 5321-5347 (2022) - [j8]Xiutiao Ye, Shuang Wang
A Joint-Training Two-Stage Method For Remote Sensing Image Captioning. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c51]Yue Qi, Ruixuan Wang, Mojtaba Vaezi, Jonathan Francis, Xun Jiao:
Handcrafted and Neural Network Based Features for Outlier Modulation Detection. IEEECONF 2022: 698-702 - [c50]Zhengjing Xu, Kanghao Chen, Wei-Shi Zheng, Zhijun Tan, Xiaobo Yang, Ruixuan Wang:
Expert with Outlier Exposure for Continual Learning of New Diseases. BIBM 2022: 1768-1772 - [c49]Ruixuan Wang, Xun Jiao, X. Sharon Hu:
ODHD: one-class brain-inspired hyperdimensional computing for outlier detection. DAC 2022: 43-48 - [c48]Sizhe Zhang
Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. DATE 2022: 52-55 - [c47]Ruixuan Wang, Xun Jiao:
PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing. DATE 2022: 298-303 - [c46]Kanghao Chen, Huijuan Lu, Ruixuan Wang, Wei-Shi Zheng:
Improving Class Balancing at Both Feature Extractor and Classifier Head. ICME 2022: 1-6 - [c45]Chenghua Zeng, Huijuan Lu, Kanghao Chen, Ruixuan Wang, Jun Tao:
Synthetic Minority with CutMix for Imbalanced Image Classification. IntelliSys (2) 2022: 543-556 - [c44]Yaojia Zheng, Zhouwu Liu, Rong Mo, Ziyi Chen, Wei-Shi Zheng, Ruixuan Wang:
Task-Oriented Self-supervised Learning for Anomaly Detection in Electroencephalography. MICCAI (8) 2022: 193-203 - [c43]Changhong Zhong, Zhiying Cui, Wei-Shi Zheng, Hongmei Liu, Ruixuan Wang:
Discriminative Distillation to Reduce Class Confusion in Continual Learning. PRCV (1) 2022: 580-592 - [c42]Zhehao Zhong, Shen Zhao, Ruixuan Wang:
Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data. PRCV (2) 2022: 588-600 - [i13]Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth W. Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang:
Automated Architecture Search for Brain-inspired Hyperdimensional Computing. CoRR abs/2202.05827 (2022) - [i12]Yiqiao Qiu, Yixing Shen, Zhuohao Sun, Yanchong Zheng, Xiaobin Chang, Weishi Zheng, Ruixuan Wang:
SATS: Self-Attention Transfer for Continual Semantic Segmentation. CoRR abs/2203.07667 (2022) - [i11]Ruixuan Wang, Dongning Ma, Xun Jiao:
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. CoRR abs/2203.13542 (2022) - [i10]Yang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong, Wei-Shi Zheng, Ruixuan Wang:
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor. CoRR abs/2204.13349 (2022) - [i9]Yaojia Zheng, Zhouwu Liu, Rong Mo, Ziyi Chen, Wei-Shi Zheng, Ruixuan Wang:
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography. CoRR abs/2207.01391 (2022) - [i8]Kanghao Chen, Weixian Lei, Rong Zhang, Shen Zhao, Wei-Shi Zheng, Ruixuan Wang:
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification. CoRR abs/2207.04793 (2022) - [i7]Chenghua Zeng, Huijuan Lu, Kanghao Chen, Ruixuan Wang, Wei-Shi Zheng:
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification. CoRR abs/2207.06975 (2022) - [i6]Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar:
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults. CoRR abs/2212.03475 (2022) - 2021
- [j7]Ying Song
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2775-2780 (2021) - [c41]Sizhe Zhang
Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). ASAP 2021: 211-217 - [c40]Chufu Deng, Zhiguang Chen, Ruixuan Wang, Wanqi Su, Yili Qu:
Modality-shared MRI Image Translation Based on Conditional GAN. BIBM 2021: 1286-1290 - [c39]Tian Shi, Longshi Wu, Changhong Zhong, Ruixuan Wang, Hongmei Liu:
Iterative Ensemble Transductive Learning for Microscopy Image Analysis. CSCI 2021: 1246-1249 - [c38]Yang Yang, Jiancong Chen, Ruixuan Wang, Ting Ma, Lingwei Wang, Jie Chen, Wei-Shi Zheng, Tong Zhang
Towards Unbiased Covid-19 Lesion Localisation And Segmentation Via Weakly Supervised Learning. ISBI 2021: 1966-1970 - [c37]Yang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong, Ruixuan Wang, Wei-Shi Zheng:
Continual Learning with Bayesian Model Based on a Fixed Pre-trained Feature Extractor. MICCAI (5) 2021: 397-406 - [c36]Kanghao Chen, Yifan Mao, Huijuan Lu, Chenghua Zeng, Ruixuan Wang, Wei-Shi Zheng:
Alleviating Data Imbalance Issue with Perturbed Input During Inference. MICCAI (5) 2021: 407-417 - [c35]Yangwen Hu, Zhehao Zhong, Ruixuan Wang, Hongmei Liu, Zhijun Tan, Wei-Shi Zheng:
Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data. MICCAI (5) 2021: 469-479 - [c34]Ruixuan Wang, Fanxin Kong, Hasshi Sudler, Xun Jiao:
Brief Industry Paper: HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks. RTAS 2021: 461-464 - [i5]Yang Yang, Jiancong Chen, Ruixuan Wang, Ting Ma, Lingwei Wang, Jie Chen, Wei-Shi Zheng, Tong Zhang
Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning. CoRR abs/2103.00780 (2021) - [i4]Zhuoyun Li, Changhong Zhong, Sijia Liu, Ruixuan Wang, Wei-Shi Zheng:
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors. CoRR abs/2104.13614 (2021) - [i3]Changhong Zhong, Zhiying Cui, Ruixuan Wang, Wei-Shi Zheng:
Discriminative Distillation to Reduce Class Confusion in Continual Learning. CoRR abs/2108.05187 (2021) - [i2]Jia-Xin Zhuang, Wanying Tao, Jianfei Xing, Wei Shi, Ruixuan Wang, Wei-Shi Zheng:
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images. CoRR abs/2108.11054 (2021) - 2020
- [j6]Haocheng Shen
Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection. IEEE Access 8: 133051-133062 (2020) - [c33]Junjie Xu, Yaojia Zheng, Yifan Mao, Ruixuan Wang, Wei-Shi Zheng:
Anomaly Detection on Electroencephalography with Self-supervised Learning. BIBM 2020: 363-368 - [c32]Zhiying Cui, Longshi Wu, Ruixuan Wang:
Open Set Semantic Segmentation With Statistical Test And Adaptive Threshold. ICME 2020: 1-6 - [c31]Jiechao Ma
Cross-View Relation Networks for Mammogram Mass Detection. ICPR 2020: 8632-8638 - [c30]Weixian Lei, Rong Zhang, Yang Yang, Ruixuan Wang, Wei-Shi Zheng:
Class-Center Involved Triplet Loss for Skin Disease Classification on Imbalanced Data. ISBI 2020: 1-5 - [c29]Weipeng Li, Jiaxin Zhuang
Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis. ISBI 2020: 1996-2000 - [c28]Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang
Deep kNN for Medical Image Classification. MICCAI (1) 2020: 127-136 - [c27]Zhuoyun Li, Changhong Zhong, Ruixuan Wang, Wei-Shi Zheng:
Continual Learning of New Diseases with Dual Distillation and Ensemble Strategy. MICCAI (1) 2020: 169-178 - [c26]Yifan Mao, Feifei Xue, Ruixuan Wang, Jianguo Zhang
Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders. MICCAI (6) 2020: 529-538
2010 – 2019
- 2019
- [c25]Zhaolei Wang, Junbin Lin, Ruixuan Wang, Weishi Zheng:
Retinal Artery/Vein Classification via Rotation Augmentation and Deeply Supervised U-net Segmentation. ICBIP 2019: 71-76 - [c24]Rong Zhang, Shuhan Tan, Ruixuan Wang, Siyamalan Manivannan
Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network. MICCAI (1) 2019: 209-217 - [c23]Feifei Xue, Jin Peng, Ruixuan Wang, Qiong Zhang, Wei-Shi Zheng:
Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks. MICCAI (6) 2019: 846-854 - [c22]Jiaxin Zhuang
CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data. MIDL 2019: 588-597 - [c21]Zhiying Cui, Longshi Wu, Ruixuan Wang, Wei-Shi Zheng:
Ensemble Transductive Learning for Skin Lesion Segmentation. PRCV (2) 2019: 572-581 - 2018
- [j5]Hongwei Li
Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images. NeuroImage 183: 650-665 (2018) - [i1]Hongwei Li, Gongfa Jiang, Ruixuan Wang, Jianguo Zhang, Zhaolei Wang, Wei-Shi Zheng, Bjoern H. Menze:
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images. CoRR abs/1802.05203 (2018) - 2017
- [c20]Paul F. Brennan, Dewar D. Finlay, Mark S. Spence, Agnes Awuah, James McLaughlin
Cardiac-gated Slit Lamp Videography as a Novel Approach to Assessing a Microcirculatory Network. CinC 2017 - [c19]Haocheng Shen, Ruixuan Wang, Jianguo Zhang
Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation. MICCAI (2) 2017: 433-441 - [c18]Haocheng Shen, Ruixuan Wang, Jianguo Zhang
Multi-task Fully Convolutional Network for Brain Tumour Segmentation. MIUA 2017: 239-248 - 2016
- [j4]Siyamalan Manivannan
An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens. Pattern Recognit. 51: 12-26 (2016) - [c17]Siyamalan Manivannan
Hierarchical mix-pooling and its applications to biomedical image classification. ISBI 2016: 541-544 - 2015
- [j3]Ruixuan Wang, Markus Pakleppa, Emanuele Trucco
Low-Rank Prior in Single Patches for Nonpointwise Impulse Noise Removal. IEEE Trans. Image Process. 24(5): 1485-1496 (2015) - 2014
- [c16]Siyamalan Manivannan
HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs. I3A@ICPR 2014: 37-40 - [c15]Siyamalan Manivannan
HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM. I3A@ICPR 2014: 41-44 - [c14]Siyamalan Manivannan
Video-Specific SVMs for Colonoscopy Image Classification. CARE@MICCAI 2014: 11-21 - [c13]Siyamalan Manivannan
Inter-Cluster Features for Medical Image Classification. MICCAI (3) 2014: 345-352 - 2013
- [c12]Ruixuan Wang, Emanuele Trucco
Single-Patch Low-Rank Prior for Non-pointwise Impulse Noise Removal. ICCV 2013: 1073-1080 - [c11]Siyamalan Manivannan
Extended Gaussian-Filtered Local Binary Patterns for Colonoscopy Image Classification. ICCV Workshops 2013: 184-189 - [c10]Siyamalan Manivannan
Automatic normal-abnormal video frame classification for colonoscopy. ISBI 2013: 644-647 - 2012
- [j2]Wee Kheng Leow, Ruixuan Wang, Hon Wai Leong:
3-D-2-D spatiotemporal registration for sports motion analysis. Mach. Vis. Appl. 23(6): 1177-1194 (2012) - 2010
- [j1]Ruixuan Wang, Stephen J. McKenna
Visualizing Image Collections Using High-Entropy Layout Distributions. IEEE Trans. Multim. 12(8): 803-813 (2010) - [c9]Ruixuan Wang, Stephen J. McKenna
Gaussian Process Learning from Order Relationships Using Expectation Propagation. ICPR 2010: 605-608
2000 – 2009
- 2009
- [c8]Ruixuan Wang, Stephen J. McKenna
High-entropy layouts for content-based browsing and retrieval. CIVR 2009 - [c7]Junwei Han, Stephen J. McKenna
Learning Query-Dependent Distance Metrics for Interactive Image Retrieval. ICVS 2009: 374-383 - 2008
- [c6]Ruixuan Wang, Wee Kheng Leow, Hon Wai Leong:
3D-2D spatiotemporal registration for sports motion analysis. CVPR 2008 - [c5]Junwei Han, Stephen J. McKenna
Regular Texture Analysis as Statistical Model Selection. ECCV (4) 2008: 242-255 - 2006
- [c4]Ruixuan Wang, Wee Kheng Leow:
Human Posture Analysis Under Partial Self-occlusion. ICIAR (1) 2006: 874-885 - [c3]Weidong Wu, Ruixuan Wang:
A TCAM Management Scheme for IP Lookups. ICON 2006: 1-4 - 2005
- [c2]Ruixuan Wang, Wee Kheng Leow:
Human Posture Sequence Estimation Using Two Un-calibrated Cameras. BMVC 2005 - [c1]Ruixuan Wang, Wee Kheng Leow:
Human body posture refinement by nonparametric belief propagation. ICIP (3) 2005: 1272-1275
Coauthor Index
[j23] [j21] [c80] [c79] [c78] [c71] [c70] [c68] [c67] [c66] [i21] [j16] [j13] [j12] [j11] [c59] [c56] [c54] [c52] [i20] [i19] [i18] [i17] [i16] [c50] [c46] [c44] [c43] [i12] [i10] [i9] [i8] [i7] [c38] [c37] [c36] [c35] [i5] [i4] [i3] [i2] [c33] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [j5] [i1]
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