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Cho-Ying Wu

choyingw

Bosch AI Reseach

Bosch Center for Artificial Intelligence (BCAI)
CA

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Python36%HTML18%Cuda18%MATLAB18%Jupyter Notebook9%

Top Repositories

Repositories

18
CH
choyingw/3d-rgbx.github.io

No description provided.

HTML00Updated 3 days ago
CH
choyingw/choyingw.github.io

No description provided.

HTML00Updated 3 days ago
CH
choyingw/Cross-Modal-Perceptionist

CVPR 2022: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

Python13115Updated 1 week ago
3d3d-models3dmmbiometricscognitive-sciencecomputer-visioncross-modal-learningcvprcvpr2022deep-learningmachine-learningpytorchspeechspeech-synthesisspeech-to-face
CH
choyingw/SynergyNet

3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

Jupyter Notebook41362Updated 2 weeks ago
2d-3d3d3d-face-alignment3d-face-reconstruction3dv20213dvisioncomputer-graphicscomputer-visiondeep-neural-networksfacial-keypointsfacial-landmarkshead-pose-estimationpytorch
CH
choyingw/Awesome-Monocular-Depth

A curated list of recent monocular depth estimation papers

2018Updated 2 weeks ago
3dawesome-listcomputer-visioncvprdepthdiffusion-modelseccviccviclrmonocular-depth-estimationneuripssingle-view-3d
CH
choyingw/SCADC-DepthCompletion

ICASSP 2021: Scene Completeness-Aware Lidar Depth Completion for Driving Scenario

Python191Updated 3 months ago
3dautonomous-drivingautonomous-vehiclescomputer-visiondeep-neural-networksdepth-completiondepth-estimationicasspicassp2021lidarscene-reconstructionstereo-vision
CH
choyingw/dual_RGBX_rasterizer

No description provided.

Cuda00Updated 4 months ago
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choyingw/original_diff_rasterizer

No description provided.

Cuda00Updated 4 months ago
CH
choyingw/Meta-Initialized-Depth

[IROS 2024] Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization

10Updated 1 year ago
3dcomputer-visiondeep-learningdepth-estimationirosmachine-learningmeta-learningnavigationrobotics
CH
choyingw/CFCNet

NeurIPS 2019: Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion

Python374Updated 1 year ago
3dcanonical-correlation-analysiscomputer-visiondeep-neural-networksdepth-completiondepth-estimationmultimodal-deep-learningneurips-2019nips-2019
CH
choyingw/GAIS-Net

CVPR 2020 Workshop on Scalability in Autonomous Driving: GAIS-Net: Geometry-Aware Instance Segmentation with Disparity Maps

Python80Updated 1 year ago
3dautonomous-vehiclescomputer-visioncvpr2020deep-neural-networksgeometry-processinginstance-segmentationmask-rcnnmultimodal-deep-learningscalabilitystereo-vision
CH
choyingw/M3-LRNArchived

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

130Updated 2 years ago
CH
choyingw/GD-HASLR

Pattern Recognition 2018 paper

MATLAB21Updated 3 years ago
computer-visionface-recognitionlow-rank-representationoccludedpattern-recognitionrecognitionsparse-codingsparse-representations
CH
choyingw/BuildingOutline

ICIP 2019 paper

MATLAB31Updated 3 years ago
buildingbuilding-outlinecomputer-visionedge-detection-algorithmicipimage-processingl0-gradient-smoothingsalient-regionssemantic-segmentation
CH
choyingw/ConvNeXtFork

Code release for ConvNeXt model

00Updated 3 years ago
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choyingw/monodepth2-1Fork

[ICCV 2019] Monocular depth estimation from a single image

00Updated 3 years ago
CH
choyingw/DistDepthFork

Repository for "Toward Practical Monocular Indoor Depth Estimation" (CVPR 2022)

00Updated 3 years ago
CH
choyingw/curated-list-of-awesome-3D-Morphable-Model-software-and-dataFork

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

00Updated 4 years ago

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