Chen-Chou Lo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Depth Estimation

Restricted Boltzmann Machine

Top Venues

IEEE Trans. Emerg. Top. Comput. Intell.

Publications

Chen-Chou Lo, Patrick Vandewalle
Expanding Sparse Radar Depth Based on Joint Bilateral Filter for Radar-Guided Monocular Depth Estimation. Sensors 24 (6) (2024)
Chen-Chou Lo, Patrick Vandewalle
How much depth information can radar contribute to a depth estimation model? Autonomous Vehicles and Machines (2023)
Chen-Chou Lo, Patrick Vandewalle
RCDPT: Radar-Camera Fusion Dense Prediction Transformer. ICASSP (2023)
Chen-Chou Lo, Patrick Vandewalle
RCDPT: Radar-Camera fusion Dense Prediction Transformer. CoRR (2022)
Chen-Chou Lo, Patrick Vandewalle
How much depth information can radar infer and contribute. CoRR (2022)
Chen-Chou Lo, Patrick Vandewalle
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network. CoRR (2021)
Chen-Chou Lo, Patrick Vandewalle
Depth Estimation From Monocular Images And Sparse Radar Using Deep Ordinal Regression Network. ICIP (2021)
Shang-Yi Chuang, Yu Tsao, Chen-Chou Lo, Hsin-Min Wang
Lite Audio-Visual Speech Enhancement. INTERSPEECH (2020)
Shang-Yi Chuang, Yu Tsao, Chen-Chou Lo, Hsin-Min Wang
Lite Audio-Visual Speech Enhancement. CoRR (2020)
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 (2020)
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) (2020)
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 (2019)
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)
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 (2019)
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)
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)