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ORCIDChun-Fu Chen 0001
Chun-Fu (Richard) Chen – Chun-Fu Richard Chen
Person information
- affiliation: JPMorgan Chase & Co., USA
- affiliation: IBM T.J. Watson Research Center
- affiliation: National Cheng Kung University, Taiwan
Other persons with the same name
- Chun-Fu Chen 0002 — Columbia University, New York, NY, USA
- Chun-Fu Chen 0003 — National Chiao Tung University, Taiwan
- Chun-Fu Chen 0004 — National Taipei College of Business, Taiwan
- Chun-Fu Chen 0005 — National Chengchi University, Taiwan
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2020 – today
- 2024
[j12]Chun-Fu Chen, Bill Moriarty, Shaohan Hu, Sean Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati:
Model-Agnostic Utility-Preserving Biometric Information Anonymization. Int. J. Inf. Sec. 23(4): 2809-2826 (2024)- [c47]Guihong Li, Hsiang Hsu, Chun-Fu Richard Chen, Radu Marculescu:
Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CVPR Workshops 2024: 227-234 - [c46]Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen:
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. ICLR 2024 - [c45]Wei-Cheng Huang, Chun-Fu Richard Chen, Hsiang Hsu:
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. ICLR 2024 - [c44]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Machine Unlearning for Image-to-Image Generative Models. ICLR 2024 - [c43]Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher:
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective. ICML 2024 - [c42]Renyuan Liu, Yuyang Leng, Shilei Tian, Shaohan Hu, Chun-Fu (Richard) Chen, Shuochao Yao:
DynaSpa: Exploiting Spatial Sparsity for Efficient Dynamic DNN Inference on Devices. SenSys 2024: 422-435 - [c41]Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko:
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV 2024: 946-956 - [i30]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Machine Unlearning for Image-to-Image Generative Models. CoRR abs/2402.00351 (2024) - [i29]Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen:
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. CoRR abs/2402.00728 (2024) - [i28]Wei-Cheng Huang, Chun-Fu Chen, Hsiang Hsu:
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. CoRR abs/2402.04129 (2024) - [i27]Yizhuo Chen, Chun-Fu (Richard) Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher:
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective. CoRR abs/2405.14981 (2024) - [i26]Chun-Fu Richard Chen, Bill Moriarty, Shaohan Hu, Sean Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati:
Model-Agnostic Utility-Preserving Biometric Information Anonymization. CoRR abs/2405.15062 (2024) - 2023
- [j11]El Amine Cherrat
, Snehal Raj, Iordanis Kerenidis, Abhishek Shekhar, Ben Wood, Jon Dee, Shouvanik Chakrabarti, Chun-Fu Richard Chen, Dylan Herman, Shaohan Hu, Pierre Minssen, Ruslan Shaydulin, Yue Sun, Romina Yalovetzky, Marco Pistoia:
Quantum Deep Hedging. Quantum 7: 1191 (2023) - [i25]El Amine Cherrat, Snehal Raj, Iordanis Kerenidis, Abhishek Shekhar, Ben Wood, Jon Dee, Shouvanik Chakrabarti, Chun-Fu Richard Chen, Dylan Herman, Shaohan Hu, Pierre Minssen, Ruslan Shaydulin, Yue Sun, Romina Yalovetzky, Marco Pistoia:
Quantum Deep Hedging. CoRR abs/2303.16585 (2023) - [i24]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CoRR abs/2312.14923 (2023) - 2022
- [c40]Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos:
VALHALLA: Visual Hallucination for Machine Translation. CVPR 2022: 5206-5216 - [c39]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR 2022: 9184-9194 - [c38]Bill Moriarty, Chun-Fu (Richard) Chen, Shaohan Hu, Sean Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati:
Utility-Preserving Biometric Information Anonymization. ESORICS (2) 2022: 24-41 - [c37]Chun-Fu Chen, Rameswar Panda, Quanfu Fan:
RegionViT: Regional-to-Local Attention for Vision Transformers. ICLR 2022 - [c36]Quanfu Fan, Chun-Fu Chen, Rameswar Panda:
Can an Image Classifier Suffice For Action Recognition? ICLR 2022 - [c35]Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. NeurIPS 2022 - [i23]Quanfu Fan, Donghyun Kim, Chun-Fu Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal:
Temporal Relevance Analysis for Video Action Models. CoRR abs/2204.11929 (2022) - [i22]Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos:
VALHALLA: Visual Hallucination for Machine Translation. CoRR abs/2206.00100 (2022) - [i21]Chun-Fu Chen, Shaohan Hu, Zhonghao Shi, Prateek Gulati, Bill Moriarty, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati:
MaSS: Multi-attribute Selective Suppression. CoRR abs/2210.09904 (2022) - [i20]Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. CoRR abs/2211.16412 (2022) - 2021
- [c34]Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI 2021: 9294-9302 - [c33]Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR 2021: 6165-6175 - [c32]Chun-Fu (Richard) Chen, Quanfu Fan, Rameswar Panda:
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. ICCV 2021: 347-356 - [c31]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. ICCV 2021: 1781-1792 - [c30]Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. ICCV 2021: 7355-7365 - [c29]Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV 2021: 7556-7565 - [c28]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris:
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. ICCV 2021: 8825-8835 - [c27]Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke:
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. NeurIPS 2021: 3584-3595 - [i19]Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko:
All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR abs/2103.01435 (2021) - [i18]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris:
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. CoRR abs/2103.13517 (2021) - [i17]Chun-Fu Chen, Quanfu Fan, Rameswar Panda:
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. CoRR abs/2103.14899 (2021) - [i16]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. CoRR abs/2104.09829 (2021) - [i15]Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR abs/2105.05165 (2021) - [i14]Chun-Fu Chen, Rameswar Panda, Quanfu Fan:
RegionViT: Regional-to-Local Attention for Vision Transformers. CoRR abs/2106.02689 (2021) - [i13]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke:
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. CoRR abs/2106.07807 (2021) - [i12]Quanfu Fan, Chun-Fu Chen, Rameswar Panda:
An Image Classifier Can Suffice For Video Understanding. CoRR abs/2106.14104 (2021) - [i11]Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. CoRR abs/2108.10394 (2021) - [i10]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR abs/2112.00054 (2021) - 2020
- [c26]Marco Pistoia, Peng Liu, Chun-Fu (Richard) Chen, Shaohan Hu, Stephen P. Wood:
Parallelization of Classical Numerical optimization in Quantum Variational Algorithms. ICST 2020: 309-320 - [i9]Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR abs/2006.13314 (2020) - [i8]Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR abs/2010.11757 (2020) - [i7]Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee:
Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR abs/2011.10608 (2020)
2010 – 2019
- 2019
- [j10]Shaohan Hu, Peng Liu, Chun-Fu (Richard) Chen, Marco Pistoia, Jay M. Gambetta:
Reduction-Based Problem Mapping for Quantum Computing. Computer 52(6): 47-57 (2019) - [j9]Peng Liu, Shaohan Hu, Marco Pistoia, Chun-Fu (Richard) Chen, Jay M. Gambetta:
Stochastic Optimization of Quantum Programs. Computer 52(6): 58-67 (2019) - [c25]Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. ICLR (Poster) 2019 - [c24]Quanfu Fan, Chun-Fu (Richard) Chen, Hilde Kuehne, Marco Pistoia, David D. Cox:
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. NeurIPS 2019: 2261-2270 - [i6]Arthur G. Rattew, Shaohan Hu, Marco Pistoia, Chun-Fu (Richard) Chen, Steve Wood:
A Domain-agnostic, Noise-resistant Evolutionary Variational Quantum Eigensolver for Hardware-efficient Optimization in the Hilbert Space. CoRR abs/1910.09694 (2019) - [i5]Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David D. Cox:
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. CoRR abs/1912.00869 (2019) - 2018
- [c23]Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis:
NISP: Pruning Networks Using Neuron Importance Score Propagation. CVPR 2018: 9194-9203 - [c22]Shaohan Hu, Peng Liu, Chun-Fu (Richard) Chen, Marco Pistoia:
Automatically solving NP-complete problems on a quantum computer. ICSE (Companion Volume) 2018: 258-259 - [c21]Chun-Fu Chen, Jinwook Oh, Quanfu Fan, Marco Pistoia:
SC-Conv: Sparse-Complementary Convolution for Efficient Model Utilization on CNNs. ISM 2018: 97-100 - [i4]Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu Chen, Jason Crawford, Hiroki Kanezashi, Song Zhang, Warut D. Vijitbenjaronk:
System G Distributed Graph Database. CoRR abs/1802.03057 (2018) - [i3]Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. CoRR abs/1807.03848 (2018) - [i2]Chun-Fu Chen, Quanfu Fan, Marco Pistoia, Gwo Giun Lee:
Efficient Fusion of Sparse and Complementary Convolutions for Object Recognition and Detection. CoRR abs/1808.02167 (2018) - 2017
- [j8]Gwo Giun Chris Lee, Chun-Fu (Richard) Chen, Ching-Jui Hsiao:
Reconfigurable Parser Architecture Design with Microprogrammed Controller for Multiple Purposes. J. Signal Process. Syst. 88(1): 67-81 (2017) - [j7]Gwo Giun Chris Lee, Chun-Hsi Huang, Chun-Fu (Richard) Chen, Tai-Ping Wang:
Complexity-Aware Gabor Filter Bank Architecture Using Principal Component Analysis. J. Signal Process. Syst. 89(3): 431-444 (2017) - [c20]Chun-Fu (Richard) Chen, Marco Pistoia, Conglei Shi, Paolo Girolami, Joseph W. Ligman, Yong Wang:
UI X-Ray: Interactive Mobile UI Testing Based on Computer Vision. IUI 2017: 245-255 - [i1]Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis:
NISP: Pruning Networks using Neuron Importance Score Propagation. CoRR abs/1711.05908 (2017) - 2016
- [j6]Gwo Giun Chris Lee, Chun-Fu Chen, Shu-Ming Xu, Ching-Jui Hsiao:
High-Throughput Reconfigurable Variable Length Coding Decoder for MPEG-2 and AVC/H.264. J. Signal Process. Syst. 82(1): 27-40 (2016) - [j5]Gwo Giun Lee, Tzu-Chiang Tai, Wei-Chiao Yang, Chun-Fu Chen, Chun-Hsi Huang:
Reconfigurable Interpolation Architecture for Multistandard Video Decoding. J. Signal Process. Syst. 84(2): 251-264 (2016) - [c19]Gwo Giun Chris Lee, Shi-Yu Hung, Tai-Ping Wang, Chun-Fu (Richard) Chen, Chi-Kuang Sun, Yi-Hua Liao:
Efficient nuclei segmentation based on spectral graph partitioning. ISCAS 2016: 2723-2726 - [c18]Chun-Fu Chen, Gwo Giun Lee, Vincent Sritapan, Ching-Yung Lin:
Deep Convolutional Neural Network on iOS Mobile Devices. SiPS 2016: 130-135 - 2015
- [j4]Gwo Giun Chris Lee, Chun-Fu Chen, He-Yuan Lin, Ming-Jiun Wang:
3-D Video Generation from Monocular Video Based on Hierarchical Video Segmentation. J. Signal Process. Syst. 81(3): 345-358 (2015) - [c17]Chun-Hsi Huang, Gwo Giun Chris Lee, Chun-Fu (Richard) Chen, Yinglong Xia, Ching-Yung Lin:
Reconfigurable filter bank design via principal component analysis and low rank approximation. GlobalSIP 2015: 473-477 - [c16]Ching-Yung Lin, Danny L. Yeh, Nan Cao, Jui-Hsin Lai, Chun-Fu (Richard) Chen, Conglei Shi, Jie Lu, Jason Crawford, Keith Houck, Yinglong Xia, Wan-Yi Sabrina Lin, Richard B. Hull, Fenno F. Terry Heath III, Piyawadee Sukaviriya, SweeFen Goh:
IBM system G Social Media Solution: Analyze multimedia content, people, and network dynamics in context. ICME Workshops 2015: 1-4 - [c15]Gwo Giun Chris Lee, Zuo-Jheng Huang, Chih-Yuan Chen, Chun-Fu Chen:
Implementation of Gabor feature extraction algorithm for electrocardiogram on FPGA. ISCAS 2015: 798-801 - [c14]Jui-Hsin Larry Lai, Chung-Ching Lin, Chun-Fu (Richard) Chen, Ching-Yung Lin:
Multi-modality Mobile Image Recognition Based on Thermal and Visual Cameras. ISM 2015: 477-482 - [c13]Chun-Fu (Richard) Chen, Gwo Giun Chris Lee, Yinglong Xia, W. Sabrina Lin, Toyotaro Suzumura, Ching-Yung Lin:
Efficient Multi-training Framework of Image Deep Learning on GPU Cluster. ISM 2015: 489-494 - 2014
- [j3]Gwo Giun Lee, Chun-Fu Chen, Ching-Jui Hsiao, Jui-Che Wu:
Bi-Directional Trajectory Tracking With Variable Block-Size Motion Estimation for Frame Rate Up-Convertor. IEEE J. Emerg. Sel. Topics Circuits Syst. 4(1): 29-42 (2014) - [c12]Gwo Giun Chris Lee, Bo-Syun Li, Chun-Fu Chen:
Design of view synthesis prediction in 3D-HEVC via algorithmic complexity analysis. ACSSC 2014: 2163-2166 - [c11]Cheng-Syun Cai, Chun-Fu Chen, Gwo Giun Lee, Guan-Liang Lin, Sin-Yo Chou, Ming-Rung Tsai, Yi-Hua Liao, Chi-Kuang Sun:
Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images. ChinaSIP 2014: 465-469 - [c10]Chun-Fu Chen, Gwo Giun Chris Lee, Zheng-Han Yu, Chun-Hsi Huang:
Mapping visual signal processing onto multi-core platform via algorithm/architecture co-exploration. SiPS 2014: 244-249 - [c9]Gwo Giun Chris Lee, Bo-Syun Li, Chun-Fu Chen:
Content-adaptive depth map enhancement based on motion distribution. VCIP 2014: 482-485 - 2013
- [j2]Gwo Giun Lee, Huan-Hsiang Lin, Ming-Rung Tsai, Sin-Yo Chou, Wen-Jeng Lee, Yi-Hua Liao, Chi-Kuang Sun, Chun-Fu Chen:
Automatic Cell Segmentation and Nuclear-to-Cytoplasmic Ratio Analysis for Third Harmonic Generated Microscopy Medical Images. IEEE Trans. Biomed. Circuits Syst. 7(2): 158-168 (2013) - [c8]Gwo Giun Chris Lee, Ciao-Siang Siao, Chunhui Cui, Chun-Fu Chen, Yan Huo, Huan-Hsiang Lin:
Depth map enhancement based on Z-displacement of objects. ISCAS 2013: 2361-2364 - [c7]Gwo Giun Lee, Chun-Fu Chen, He-Yuan Lin:
Algorithmic complexity analysis on data transfer rate and data storage for multidimensional signal processing. SiPS 2013: 171-176 - [c6]Ming-Jiun Wang, Chun-Fu Chen, Gwo Giun Lee:
Motion-based depth estimation for 2D-to-3D video conversion. VCIP 2013: 1-6 - 2012
- [j1]Gwo Giun Lee, He-Yuan Lin, Chun-Fu Chen, Tsung-Yuan Huang:
Quantifying Intrinsic Parallelism Using Linear Algebra for Algorithm/Architecture Coexploration. IEEE Trans. Parallel Distributed Syst. 23(5): 944-957 (2012) - [c5]Gwo Giun Lee, Shu-Ming Xu, Chun-Fu Chen, Ching-Jui Hsiao:
Architecture of high-throughput context adaptive variable length coding decoder in AVC/H.264. APSIPA 2012: 1-5 - [c4]Gwo Giun Lee, Jhen-Yue Hu, Chun-Fu Chen, Huan-Hsiang Lin:
Gabor feature extraction for electrocardiogram signals. BioCAS 2012: 304-307 - [c3]Huan-Hsiang Lin, Ming-Rung Tsai, Chun-Fu Chen, Szu-Yu Chen, Yi-Hua Liao, Gwo Giun Lee, Chi-Kuang Sun:
Cell segmentation and NC ratio analysis of third harmonic generation virtual biopsy images based on marker-controlled gradient watershed algorithm. ISCAS 2012: 101-104 - [c2]Chun-Fu Chen, Gwo Giun Chris Lee, Jui-Che Wu, Ching-Jui Hsiao, Jun-Yuan Ke:
Variable Block Size Motion Estimator Design for Scan Rate Up-convertor. SiPS 2012: 67-72 - 2011
- [c1]Tsung-Yuan Huang, He-Yuan Lin, Chun-Fu Chen, Gwo Giun Lee:
Reconfigurable inverse transform architecture for multiple purpose video coding. ISCAS 2011: 1223-1226
Coauthor Index
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