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Chen-Chou Lo
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2020 – today
- 2024
- [j2]Chen-Chou Lo, Patrick Vandewalle:
Expanding Sparse Radar Depth Based on Joint Bilateral Filter for Radar-Guided Monocular Depth Estimation. Sensors 24(6): 1864 (2024) - 2023
- [c7]Chen-Chou Lo, Patrick Vandewalle:
How much depth information can radar contribute to a depth estimation model? Autonomous Vehicles and Machines 2023: 1-7 - [c6]Chen-Chou Lo, Patrick Vandewalle:
RCDPT: Radar-Camera Fusion Dense Prediction Transformer. ICASSP 2023: 1-5 - 2022
- [i7]Chen-Chou Lo, Patrick Vandewalle:
How much depth information can radar infer and contribute. CoRR abs/2202.13220 (2022) - [i6]Chen-Chou Lo, Patrick Vandewalle:
RCDPT: Radar-Camera fusion Dense Prediction Transformer. CoRR abs/2211.02432 (2022) - 2021
- [c5]Chen-Chou Lo, Patrick Vandewalle:
Depth Estimation From Monocular Images And Sparse Radar Using Deep Ordinal Regression Network. ICIP 2021: 3343-3347 - [i5]Chen-Chou Lo, Patrick Vandewalle:
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network. CoRR abs/2107.07596 (2021) - 2020
- [j1]Wen-Chin Huang, Hao Luo, Hsin-Te Hwang, Chen-Chou Lo, Yu-Huai Peng, Yu Tsao, Hsin-Min Wang:
Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in Variational Autoencoder Based Voice Conversion. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 468-479 (2020) - [c4]Shang-Yi Chuang, Yu Tsao, Chen-Chou Lo, Hsin-Min Wang:
Lite Audio-Visual Speech Enhancement. INTERSPEECH 2020: 1131-1135 - [i4]Wen-Chin Huang, Hao Luo, Hsin-Te Hwang, Chen-Chou Lo, Yu-Huai Peng, Yu Tsao, Hsin-Min Wang:
Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion. CoRR abs/2001.07849 (2020) - [i3]Shang-Yi Chuang, Yu Tsao, Chen-Chou Lo, Hsin-Min Wang:
Lite Audio-Visual Speech Enhancement. CoRR abs/2005.11769 (2020)
2010 – 2019
- 2019
- [c3]Wen-Chin Huang, Yi-Chiao Wu, Chen-Chou Lo, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion. INTERSPEECH 2019: 709-713 - [c2]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 - [i2]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) - [i1]Wen-Chin Huang, Yi-Chiao Wu, Chen-Chou Lo, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion. CoRR abs/1905.00615 (2019) - 2018
- [c1]Wen-Chin Huang, Chen-Chou Lo, Hsin-Te Hwang, Yu Tsao, Hsin-Min Wang:
WaveNet 聲碼器及其於語音轉換之應用 (WaveNet Vocoder and its Applications in Voice Conversion) [In Chinese]. ROCLING 2018: 96-110
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