Occlusion pattern-based dictionary for robust face recognition. - Cho-Ying Wu; Jian-Jiun Ding (ICME, 2016)

A fast non-convex regularizer for low rank matrix completion. - Cho-Ying Wu; Jian-Jiun Ding (APSIPA, 2017)

Occluded face recognition using low-rank regression with generalized gradient direction. - Cho-Ying Wu; Jian-Jiun Ding (Pattern Recognit., 2018)

Efficient Multi-Domain Dictionary Learning With GANS. - Cho-Ying Wu; Ulrich Neumann (GlobalSIP, 2019)

Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing. - Cho-Ying Wu; Ulrich Neumann (ICIP, 2019)

Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion. - Yiqi Zhong; Cho-Ying Wu; Suya You; Ulrich Neumann (NeurIPS, 2019)

Nonconvex Approach for Sparse and Low-Rank Constrained Models with Dual Momentum. - Cho-Ying Wu; Jian-Jiun Ding (CoRR, 2019)

Grid-GCN for Fast and Scalable Point Cloud Learning. - Qiangeng Xu; Xudong Sun 005; Cho-Ying Wu; Panqu Wang; Ulrich Neumann (CVPR, 2020)

Geometry-Aware Instance Segmentation with Disparity Maps. - Cho-Ying Wu; Xiaoyan Hu; Michael Happold; Qiangeng Xu; Ulrich Neumann (CoRR, 2020)

Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry. - Cho-Ying Wu; Qiangeng Xu; Ulrich Neumann (3DV, 2021)

Scene Completeness-Aware Lidar Depth Completion for Driving Scenario. - Cho-Ying Wu; Ulrich Neumann (ICASSP, 2021)

Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network. - Cho-Ying Wu; Qiangeng Xu; Ulrich Neumann (CoRR, 2021)

Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices. - Cho-Ying Wu; Ke Xu; Chin-Cheng Hsu; Ulrich Neumann (CoRR, 2021)

Toward Practical Self-Supervised Monocular Indoor Depth Estimation. - Cho-Ying Wu; Jialiang Wang 001; Michael Hall; Ulrich Neumann; Shuochen Su (CoRR, 2021)

Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices? - Cho-Ying Wu; Chin-Cheng Hsu; Ulrich Neumann (CVPR, 2022)

Toward Practical Monocular Indoor Depth Estimation. - Cho-Ying Wu; Jialiang Wang 001; Michael Hall; Ulrich Neumann; Shuochen Su (CVPR, 2022)

Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction. - Cho-Ying Wu; Yiqi Zhong; Junying Wang; Ulrich Neumann (CoRR, 2023)

InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation. - Cho-Ying Wu; Quankai Gao; Chin-Cheng Hsu; Te-Lin Wu; Jing-Wen Chen; Ulrich Neumann (CoRR, 2023)

InSpaceType: Dataset and Benchmark for Reconsidering Cross-Space Type Performance in Indoor Monocular Depth. - Cho-Ying Wu; Quankai Gao; Chin-Cheng Hsu; Te-Lin Wu; Jing-Wen Chen; Ulrich Neumann (BMVC, 2024)

Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization. - Cho-Ying Wu; Yiqi Zhong; Junying Wang; Ulrich Neumann (IROS, 2024)

Online Language Splatting. - Saimouli Katragadda; Cho-Ying Wu; Yuliang Guo; Xinyu Huang 001; Guoquan Huang 001; Liu Ren (CoRR, 2025)

3DGEER: Exact and Efficient Volumetric Rendering with 3D Gaussians. - Zixun Huang; Cho-Ying Wu; Yuliang Guo; Xinyu Huang 001; Liu Ren (CoRR, 2025)