Publications

Journal Articles

Lo, C.-C., Vandewalle, P., “Expanding Sparse Radar Depth Based on Joint Bilateral Filter for Radar-Guided Monocular Depth Estimation”, Sensors (MDPI), 2024. (SCIE; JCR IF 2024: 3.5)

Huang, W.-C., Luo, H., Hwang, H.-T., Lo, C.-C., Peng, Y.-H., Tsao, Y., Wang, H.-M., “Unsupervised representation disentanglement using cross domain features and adversarial learning in variational autoencoder based voice conversion”, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2020. (SCIE; JCR IF 2024: 6.5)

Conference Papers

Lo, C.-C., Vandewalle, P., “Instance-Guided Radar Depth Estimation for 3D Object Detection”, in Proc. of International Conference on Image Processing and Machine Vision (IPMV), 2026

Lo, C.-C., Vandewalle, P., “RCDPT: Radar-Camera Fusion Dense Prediction Transformer”, in Proc. of IEEE ICASSP, 2023

Lo, C.-C., Vandewalle, P., “How much depth information can radar contribute to a depth estimation model?”, in Proc. of IS&T Electronic Imaging (EI), 2023

Lo, C.-C., Vandewalle, P., “Depth Estimation from Monocular Images and Sparse Radar Using Deep Ordinal Regression Network”, in Proc. of IEEE ICIP, 2021

Chuang, S.-Y., Tsao, Y., Lo, C.-C., Wang, H.-M., “Lite audio-visual speech enhancement”, in Proc. of INTERSPEECH, 2021

Huang, W.-C., Wu, Y.-C., Lo, C.-C., Tobing, P. L., Hayashi, T., Kobayashi, K., Toda, T., Tsao, Y., Wang, H.-M., “Investigation of f0 conditioning and fully convolutional networks in variational autoencoder based voice conversion”, in Proc. of INTERSPEECH, 2019

Lo, C.-C., Fu, S.-W., Huang, W.-C., Wang, X., Yamagishi, J., Tsao, Y., Wang, H.-M., “MOSNet: Deep Learning-based Objective Assessment for Voice Conversion”, in Proc. of INTERSPEECH, 2019

Huang, W.-C., Lo, C.-C., Hwang, H.-T., Tsao, Y., Wang, H.-M., “WaveNet Vocoder and its Applications in Voice Conversion”, in Proc. of Conference on Computational Linguistics and Speech Processing (ROCLING), 2018