Point Auto-Encoder and Its Application to 2D-3D Transformation. - Wencan Cheng; Sukhan Lee 001 (ISVC (2), 2019)

Progressive Framework of Learning 3D Object Classes and Orientations from Deep Point Cloud Representation. - Sukhan Lee; Wencan Cheng (IMCOM, 2020)

HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton. - Wencan Cheng; Jae Hyun Park 012; Jong Hwan Ko (ICCV, 2021)

Segmentation of Points in the Future: Joint Segmentation and Prediction of a Point Cloud. - Wencan Cheng; Jong Hwan Ko (IEEE Access, 2021)

Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation. - Wencan Cheng; Jong Hwan Ko (ECCV (28), 2022)

Bias-Induced Point Auto-Encoder and Comparative Analysis of Point Encoder-Decoder Combinations. - Sukhan Lee 001; Wencan Cheng; Yongjun Yang (IEEE Access, 2022)

Dynamic Inference Acceleration of 3D Point Cloud Deep Neural Networks Using Point Density and Entropy. - Gyudo Park; Soohyeok Kang; Wencan Cheng; Jong Hwan Ko (CVPR Workshops, 2023)

Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation. - Wencan Cheng; Jong Hwan Ko (ICCV, 2023)

HandR2N2: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network. - Wencan Cheng; Jong Hwan Ko (ICCV, 2023)

HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. - Wencan Cheng; Hao Tang 005; Luc Van Gool; Jong Hwan Ko (CVPR, 2024)

HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation. - Wencan Cheng; Eunji Kim; Jong Hwan Ko (ECCV (88), 2024)

An FPGA-Based Energy-Efficient Real-Time Hand Pose Estimation System With an Integrated Image Signal Processor for Indirect 3-D Time-of-Flight Sensors. - Yongsoo Kim; Jaehyeon So; Chanwook Hwang; Wencan Cheng; Jaehyuk Choi 001; Jong Hwan Ko (IEEE Internet Things J., 2025)