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2020 – today
- 2025
[i40]Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Chao-Han Huck Yang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee, Szu-Wei Fu:
Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits. CoRR abs/2501.03805 (2025)- [i39]Kuo-Hsuan Hung, Xugang Lu, Szu-Wei Fu, Huan-Hsin Tseng, Hsin-Yi Lin, Chii-Wann Lin, Yu Tsao:
Linguistic Knowledge Transfer Learning for Speech Enhancement. CoRR abs/2503.07078 (2025) - 2024
- [c36]Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang:
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. ICLR 2024 - [c35]Ryandhimas E. Zezario
, Yu-Wen Chen, Szu-Wei Fu, Yu Tsao, Hsin-Min Wang, Chiou-Shann Fuh:
A Study On Incorporating Whisper For Robust Speech Assessment. ICME 2024: 1-6 - [c34]Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, He Huang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee:
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment. INTERSPEECH 2024 - [c33]Muhammad Salman Khan, Moreno La Quatra, Kuo-Hsuan Hung, Szu-Wei Fu, Sabato Marco Siniscalchi, Yu Tsao:
Exploiting Consistency-Preserving Loss and Perceptual Contrast Stretching to Boost SSL-Based Speech Enhancement. MMSP 2024: 1-6 - [c32]Pin-Yen Huang, Szu-Wei Fu, Yu Tsao:
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier. NeurIPS 2024 - [c31]Rong Chao, Wen-Huang Cheng, Moreno La Quatra, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Szu-Wei Fu, Yu Tsao:
An Investigation of Incorporating Mamba For Speech Enhancement. SLT 2024: 302-308 - [c30]Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Chao-Han Huck Yang, Yu Tsao, Yu-Chiang Frank Wang, Hung-Yi Lee, Szu-Wei Fu:
Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits. SLT 2024: 652-659 - [c29]Wen-Chin Huang, Szu-Wei Fu, Erica Cooper, Ryandhimas E. Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, Yu Tsao:
The Voicemos Challenge 2024: Beyond Speech Quality Prediction. SLT 2024: 803-810 - [i38]Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang:
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. CoRR abs/2402.16321 (2024) - [i37]Rong Chao, Wen-Huang Cheng, Moreno La Quatra, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Szu-Wei Fu, Yu Tsao:
An Investigation of Incorporating Mamba for Speech Enhancement. CoRR abs/2405.06573 (2024) - [i36]Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, He Huang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee:
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment. CoRR abs/2406.18871 (2024) - [i35]Muhammad Salman Khan, Moreno La Quatra, Kuo-Hsuan Hung, Szu-Wei Fu, Sabato Marco Siniscalchi, Yu Tsao:
Exploiting Consistency-Preserving Loss and Perceptual Contrast Stretching to Boost SSL-based Speech Enhancement. CoRR abs/2408.04773 (2024) - [i34]Wen-Chin Huang, Szu-Wei Fu, Erica Cooper, Ryandhimas E. Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, Yu Tsao:
The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction. CoRR abs/2409.07001 (2024) - [i33]Pin-Jui Ku, Alexander H. Liu, Roman Korostik, Sung-Feng Huang, Szu-Wei Fu, Ante Jukic:
Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration. CoRR abs/2409.16117 (2024) - [i32]Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee:
Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data. CoRR abs/2409.20007 (2024) - [i31]Pin-Yen Huang, Szu-Wei Fu, Yu Tsao:
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier. CoRR abs/2410.22124 (2024) - [i30]Yen-Ting Lin, Chao-Han Huck Yang, Zhehuai Chen, Piotr Zelasko, Xuesong Yang, Zih-Ching Chen, Krishna C. Puvvada, Szu-Wei Fu, Ke Hu, Jun Wei Chiu, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang:
NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts. CoRR abs/2411.05945 (2024) - 2023
- [j10]Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features. IEEE ACM Trans. Audio Speech Lang. Process. 31: 54-70 (2023) - [c28]Hsin-Tien Chiang, Kuo-Hsuan Hung, Szu-Wei Fu, Heng-Cheng Kuo, Ming-Hsueh Tsai, Yu Tsao:
Study on the Correlation Between Objective Evaluations and Subjective Speech Quality and Intelligibility. ASRU 2023: 1-7 - [c27]Quchen Fu, Szu-Wei Fu, Yaran Fan, Yu Wu, Zhuo Chen, Jayant Gupchup, Ross Cutler:
Real-Time Speech Interruption Analysis: from Cloud to Client Deployment. ICASSP 2023: 1-5 - [i29]Hsi-Che Lin, Chien-Yi Wang, Min-Hung Chen, Szu-Wei Fu, Yu-Chiang Frank Wang:
QuAVF: Quality-aware Audio-Visual Fusion for Ego4D Talking to Me Challenge. CoRR abs/2306.17404 (2023) - [i28]Ryandhimas E. Zezario, Yu-Wen Chen, Szu-Wei Fu, Yu Tsao, Hsin-Min Wang, Chiou-Shann Fuh:
A Study on Incorporating Whisper for Robust Speech Assessment. CoRR abs/2309.12766 (2023) - [i27]Hsin-Tien Chiang, Szu-Wei Fu, Hsin-Min Wang, Yu Tsao, John H. L. Hansen:
Multi-objective Non-intrusive Hearing-aid Speech Assessment Model. CoRR abs/2311.08878 (2023) - 2022
- [j9]Yu-Wen Chen, Kuo-Hsuan Hung, You-Jin Li, Alexander Chao-Fu Kang, Ya-Hsin Lai, Kai-Chun Liu, Szu-Wei Fu, Syu-Siang Wang, Yu Tsao:
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application. IEEE Access 10: 46082-46099 (2022) - [j8]Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo:
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1016-1031 (2022) - [c26]Szu-Wei Fu, Cheng Yu, Kuo-Hsuan Hung, Mirco Ravanelli, Yu Tsao:
MetricGAN-U: Unsupervised Speech Enhancement/ Dereverberation Based Only on Noisy/ Reverberated Speech. ICASSP 2022: 7412-7416 - [c25]Kuo-Hsuan Hung, Szu-Wei Fu, Huan-Hsin Tseng, Hsin-Tien Chiang, Yu Tsao, Chii-Wann Lin:
Boosting Self-Supervised Embeddings for Speech Enhancement. INTERSPEECH 2022: 186-190 - [c24]Cheng Yu, Szu-Wei Fu, Tsun-An Hsieh, Yu Tsao, Mirco Ravanelli:
OSSEM: one-shot speaker adaptive speech enhancement using meta learning. INTERSPEECH 2022: 981-985 - [c23]Rong Chao, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao:
Perceptual Contrast Stretching on Target Feature for Speech Enhancement. INTERSPEECH 2022: 5448-5452 - [c22]Ryandhimas Edo Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model. INTERSPEECH 2022: 5463-5467 - [c21]Szu-Wei Fu, Yaran Fan, Yasaman Hosseinkashi, Jayant Gupchup, Ross Cutler:
Improving Meeting Inclusiveness using Speech Interruption Analysis. ACM Multimedia 2022: 887-895 - [i26]Rong Chao, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao:
Perceptual Contrast Stretching on Target Feature for Speech Enhancement. CoRR abs/2203.17152 (2022) - [i25]Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model. CoRR abs/2204.03310 (2022) - [i24]Quchen Fu, Szu-Wei Fu, Yaran Fan, Yu Wu, Zhuo Chen, Jayant Gupchup, Ross Cutler:
Real-time Speech Interruption Analysis: From Cloud to Client Deployment. CoRR abs/2210.13334 (2022) - 2021
- [j7]Rung-Yu Tseng, Taowei Wang, Szu-Wei Fu, Chia-Ying Lee, Yu Tsao:
A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation. IEEE Trans. Cogn. Dev. Syst. 13(4): 984-994 (2021) - [c20]Tsun-An Hsieh, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao:
Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement. Interspeech 2021: 196-200 - [c19]Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao:
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement. Interspeech 2021: 201-205 - [i23]Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao:
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement. CoRR abs/2104.03538 (2021) - [i22]Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-Chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato De Mori, Yoshua Bengio:
SpeechBrain: A General-Purpose Speech Toolkit. CoRR abs/2106.04624 (2021) - [i21]Szu-Wei Fu, Cheng Yu, Kuo-Hsuan Hung, Mirco Ravanelli, Yu Tsao:
MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech. CoRR abs/2110.05866 (2021) - [i20]Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features. CoRR abs/2111.02363 (2021) - [i19]Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo:
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points. CoRR abs/2111.04436 (2021) - [i18]Cheng Yu, Szu-Wei Fu, Tsun-An Hsieh, Yu Tsao, Mirco Ravanelli:
OSSEM: one-shot speaker adaptive speech enhancement using meta learning. CoRR abs/2111.05703 (2021) - 2020
- [j6]Szu-Wei Fu, Chien-Feng Liao, Yu Tsao:
Learning With Learned Loss Function: Speech Enhancement With Quality-Net to Improve Perceptual Evaluation of Speech Quality. IEEE Signal Process. Lett. 27: 26-30 (2020) - [c18]Szu-Wei Fu, Chien-Feng Liao, Tsun-An Hsieh, Kuo-Hsuan Hung, Syu-Siang Wang, Cheng Yu, Heng-Cheng Kuo, Ryandhimas E. Zezario, You-Jin Li, Shang-Yi Chuang, Yen-Ju Lu, Yu-Chen Lin, Yu Tsao:
Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing. APSIPA 2020: 455-459 - [c17]Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, Hsin-Min Wang:
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model. APSIPA 2020: 482-486 - [c16]Haoyu Li, Szu-Wei Fu, Yu Tsao, Junichi Yamagishi:
iMetricGAN: Intelligibility Enhancement for Speech-in-Noise Using Generative Adversarial Network-Based Metric Learning. INTERSPEECH 2020: 1336-1340 - [i17]Haoyu Li, Szu-Wei Fu, Yu Tsao, Junichi Yamagishi:
iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. CoRR abs/2004.00932 (2020) - [i16]Szu-Wei Fu, Chien-Feng Liao, Tsun-An Hsieh, Kuo-Hsuan Hung, Syu-Siang Wang, Cheng Yu, Heng-Cheng Kuo, Ryandhimas E. Zezario, You-Jin Li, Shang-Yi Chuang, Yen-Ju Lu, Yu Tsao:
Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing. CoRR abs/2006.10296 (2020) - [i15]Tsun-An Hsieh, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao:
Improving Perceptual Quality by Phone-Fortified Perceptual Loss for Speech Enhancement. CoRR abs/2010.15174 (2020) - [i14]Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, Hsin-Min Wang:
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model. CoRR abs/2011.04292 (2020)
2010 – 2019
- 2019
- [j5]Hsin-Tien Chiang, Yi-Yen Hsieh, Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Shao-Yi Chien:
Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders. IEEE Access 7: 60806-60813 (2019) - [j4]Jyun-Yi Wu, Cheng Yu, Szu-Wei Fu, Chih-Ting Liu, Shao-Yi Chien, Yu Tsao:
Increasing Compactness of Deep Learning Based Speech Enhancement Models With Parameter Pruning and Quantization Techniques. IEEE Signal Process. Lett. 26(12): 1887-1891 (2019) - [c15]Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin:
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement. ICML 2019: 2031-2041 - [c14]Chen-Chou Lo, Szu-Wei Fu, Wen-Chin Huang, Xin Wang, Junichi Yamagishi, Yu Tsao, Hsin-Min Wang:
MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion. INTERSPEECH 2019: 1541-1545 - [c13]Yu-Chen Lin, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo:
IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network. INTERSPEECH 2019: 1801-1805 - [c12]Ryandhimas E. Zezario, Szu-Wei Fu, Xugang Lu, Hsin-Min Wang, Yu Tsao:
Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric. INTERSPEECH 2019: 3168-3172 - [i13]Chen-Chou Lo, Szu-Wei Fu, Wen-Chin Huang, Xin Wang, Junichi Yamagishi, Yu Tsao, Hsin-Min Wang:
MOSNet: Deep Learning based Objective Assessment for Voice Conversion. CoRR abs/1904.08352 (2019) - [i12]Szu-Wei Fu, Chien-Feng Liao, Yu Tsao:
Learning with Learned Loss Function: Speech Enhancement with Quality-Net to Improve Perceptual Evaluation of Speech Quality. CoRR abs/1905.01898 (2019) - [i11]Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin:
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement. CoRR abs/1905.04874 (2019) - [i10]Jyun-Yi Wu, Cheng Yu, Szu-Wei Fu, Chih-Ting Liu, Shao-Yi Chien, Yu Tsao:
Increasing Compactness Of Deep Learning Based Speech Enhancement Models With Parameter Pruning And Quantization Techniques. CoRR abs/1906.01078 (2019) - [i9]Chang-Le Liu, Szu-Wei Fu, You-Jin Lee, Yu Tsao, Jen-Wei Huang, Hsin-Min Wang:
Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks. CoRR abs/1909.11909 (2019) - [i8]Natalie Yu-Hsien Wang, Hsiao-Lan Sharon Wang, Taowei Wang, Szu-Wei Fu, Xugang Lu, Yu Tsao, Hsin-Min Wang:
Improving the Intelligibility of Electric and Acoustic Stimulation Speech Using Fully Convolutional Networks Based Speech Enhancement. CoRR abs/1909.11912 (2019) - [i7]Rung-Yu Tseng, Taowei Wang, Szu-Wei Fu, Yu Tsao, Chia-Ying Lee:
Seeing Voices in Noise: A Study of Audiovisual-Enhanced Vocoded Speech Intelligibility in Cochlear Implant Simulation. CoRR abs/1909.11919 (2019) - [i6]Cheng Yu, Yan-Ting Lin, Kuo-Hsuan Hung, Syu-Siang Wang, Szu-Wei Fu, Yu Tsao, Jeih-weih Hung:
Time-Domain Multi-modal Bone/air Conducted Speech Enhancement. CoRR abs/1911.09847 (2019) - 2018
- [j3]Szu-Wei Fu, Taowei Wang, Yu Tsao, Xugang Lu, Hisashi Kawai:
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 26(9): 1570-1584 (2018) - [c11]Szu-Wei Fu, Yu Tsao, Hsin-Te Hwang, Hsin-Min Wang:
Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model Based on BLSTM. INTERSPEECH 2018: 1873-1877 - [c10]Yi-Te Hsu, Yu-Chen Lin, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo:
A Study on Speech Enhancement Using Exponent-Only Floating Point Quantized Neural Network (EOFP-QNN). SLT 2018: 566-573 - [i5]Szu-Wei Fu, Yu Tsao, Hsin-Te Hwang, Hsin-Min Wang:
Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model based on BLSTM. CoRR abs/1808.05344 (2018) - [i4]Yi-Te Hsu, Yu-Chen Lin, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo:
A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN). CoRR abs/1808.06474 (2018) - 2017
- [j2]Szu-Wei Fu, Pei-Chun Li, Ying-Hui Lai, Cheng-Chien Yang, Li-Chun Hsieh, Yu Tsao:
Joint Dictionary Learning-Based Non-Negative Matrix Factorization for Voice Conversion to Improve Speech Intelligibility After Oral Surgery. IEEE Trans. Biomed. Eng. 64(11): 2584-2594 (2017) - [c9]Szu-Wei Fu, Yu Tsao, Xugang Lu, Hisashi Kawai:
Raw waveform-based speech enhancement by fully convolutional networks. APSIPA 2017: 6-12 - [c8]Szu-Wei Fu, Jian-Jiun Ding, Ying-Wun Huang, Ching-Wen Hsiao, Hsin-Hui Chen:
Collagen image compression using the JPEG-based predictive lossless coding scheme. APSIPA 2017: 524-533 - [c7]Szu-Wei Fu, Ting-Yao Hu, Yu Tsao, Xugang Lu:
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning. MLSP 2017: 1-6 - [i3]Szu-Wei Fu, Yu Tsao, Xugang Lu, Hisashi Kawai:
Raw Waveform-based Speech Enhancement by Fully Convolutional Networks. CoRR abs/1703.02205 (2017) - [i2]Szu-Wei Fu, Ting-Yao Hu, Yu Tsao, Xugang Lu:
Multi-Metrics Learning for Speech Enhancement. CoRR abs/1704.08504 (2017) - [i1]Szu-Wei Fu, Yu Tsao, Xugang Lu, Hisashi Kawai:
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks. CoRR abs/1709.03658 (2017) - 2016
- [j1]Payton Lin, Szu-Wei Fu, Syu-Siang Wang, Ying-Hui Lai, Yu Tsao:
Maximum Entropy Learning with Deep Belief Networks. Entropy 18(7): 251 (2016) - [c6]Szu-Wei Fu, Yu Tsao, Xugang Lu:
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement. INTERSPEECH 2016: 3768-3772 - 2015
- [c5]Szu-Wei Fu, Jian-Jiun Ding, Ching-Wen Hsiao, Po-Jen Chen:
Horizontal adaptive disparity estimation scheme for stereoscopic images. APSIPA 2015: 907-914 - 2014
- [c4]Jian-Jiun Ding, Pin-Xuan Lee, Szu-Wei Fu, Hao-Hsuan Chang, Chen-Wei Huang:
End-point preserved stroke extraction. ICAILP 2014: 318-323 - [c3]Jian-Jiun Ding, Wei-De Chang, Yu Chen, Szu-Wei Fu, Chir-Weei Chang, Chuan-Chung Chang:
Image deblurring using a pyramid-based Richardson-Lucy algorithm. DSP 2014: 204-209 - [c2]Ying-Jou Chen, Jian-Jiun Ding, Szu-Wei Fu:
A novel compression algorithm for IMFs of Hilbert-Huang transform. DSP 2014: 233-238 - [c1]Jian-Jiun Ding, Szu-Wei Fu, Ching-Wen Hsiao, Pin-Xuan Lee, Yen-Chun Chen:
Compression for the feature points with binary descriptors. DSP 2014: 651-656
Coauthor Index
[i40] [i39] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [i38] [i37] [i35] [i34] [i31] [j10] [c28] [i28] [i27] [j9] [j8] [c26] [c25] [c24] [c23] [c22] [i26] [i25] [j7] [c20] [c19] [i23] [i21] [i20] [i19] [i18] [j6] [c18] [c17] [c16] [i17] [i16] [i15] [i14] [j5] [j4] [c15] [c14] [c13] [c12] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [j3] [c11] [c10] [i5] [i4] [j2] [c9] [c7] [i3] [i2] [i1] [j1] [c6]
Ryandhimas E. Zezario
aka: Ryandhimas Edo Zezario
aka: Ryandhimas Edo Zezario
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