Search Results for author: Cho-Ying Wu

Found 14 papers, 12 papers with code

InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation

1 code implementation24 Sep 2023 Cho-Ying Wu, Quankai Gao, Chin-Cheng Hsu, Te-Lin Wu, Jing-Wen Chen, Ulrich Neumann

To facilitate our investigation for robustness and address limitations of previous works, we collect InSpaceType, a high-quality and high-resolution RGBD dataset for general indoor environments.

Indoor Monocular Depth Estimation Monocular Depth Estimation

Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices

1 code implementation21 Apr 2021 Cho-Ying Wu, Ke Xu, Chin-Cheng Hsu, Ulrich Neumann

This work focuses on the analysis that whether 3D face models can be learned from only the speech inputs of speakers.

Face Generation Face Model +1

Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network

1 code implementation16 Apr 2021 Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann

This work focuses on complete 3D facial geometry prediction, including 3D facial alignment via 3D face modeling and face orientation estimation using the proposed multi-task, multi-modal, and multi-representation landmark refinement network (M$^3$-LRN).

3D Face Modelling

Geometry-Aware Instance Segmentation with Disparity Maps

1 code implementation14 Jun 2020 Cho-Ying Wu, Xiaoyan Hu, Michael Happold, Qiangeng Xu, Ulrich Neumann

Mask regression is based on 2D, 2. 5D, and 3D ROI using the pseudo-lidar and image-based representations.

Ranked #16 on Instance Segmentation on Cityscapes val (using extra training data)

Instance Segmentation Semantic Segmentation +1

Scene Completeness-Aware Lidar Depth Completion for Driving Scenario

1 code implementation15 Mar 2020 Cho-Ying Wu, Ulrich Neumann

Recent sparse depth completion for lidars only focuses on the lower scenes and produces irregular estimations on the upper because existing datasets, such as KITTI, do not provide groundtruth for upper areas.

Depth Completion RGBD Semantic Segmentation +4

Grid-GCN for Fast and Scalable Point Cloud Learning

1 code implementation CVPR 2020 Qiangeng Xu, Xudong Sun, Cho-Ying Wu, Panqu Wang, Ulrich Neumann

Compared with popular sampling methods such as Farthest Point Sampling (FPS) and Ball Query, CAGQ achieves up to 50X speed-up.

Point Cloud Classification

Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion

1 code implementation NeurIPS 2019 Yiqi Zhong, Cho-Ying Wu, Suya You, Ulrich Neumann

Such a transformation enables CFCNet to predict features and reconstruct data of missing depth measurements according to their corresponding, transformed RGB features.

Depth Completion

Nonconvex Approach for Sparse and Low-Rank Constrained Models with Dual Momentum

no code implementations6 Jun 2019 Cho-Ying Wu, Jian-Jiun Ding

We first propose a novel nonconvex rank surrogate on the general rank minimization problem and apply this to the corrupted image completion problem.

Clustering Denoising +1

Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing

1 code implementation6 Jun 2019 Cho-Ying Wu, Ulrich Neumann

Also, we propose to create building masks from semantic segmentation using an encoder-decoder network.

Semantic Segmentation

Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction

1 code implementation6 Jun 2019 Cho-Ying Wu, Jian-Jiun Ding

In this paper, a very effective method to solve the contiguous face occlusion recognition problem is proposed.

Dictionary Learning Face Recognition +1

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