Kwan-Yee Lin

Orcid: 0000-0003-0175-6398

According to our database1, Kwan-Yee Lin authored at least 26 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Bi-directional Deformation for Parameterization of Neural Implicit Surfaces.
CoRR, 2023

Urban Radiance Field Representation with Deformable Neural Mesh Primitives.
CoRR, 2023

DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering.
CoRR, 2023

RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars.
CoRR, 2023

RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Urban Radiance Field Representation with Deformable Neural Mesh Primitives.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Simulating Fluids in Real-World Still Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MonoHuman: Animatable Human Neural Field from Monocular Video.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis.
CoRR, 2022

StyleGAN-Human: A Data-Centric Odyssey of Human Generation.
Proceedings of the Computer Vision - ECCV 2022, 2022

RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning a Structured Latent Space for Unsupervised Point Cloud Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Inverting Generative Adversarial Renderer for Face Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semantic Scene Completion via Integrating Instances and Scene In-the-Loop.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation.
CoRR, 2019

Make a Face: Towards Arbitrary High Fidelity Face Manipulation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

TRB: A Novel Triplet Representation for Understanding 2D Human Body.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Self-supervised Deep Multiple Choice Learning Network for Blind Image Quality Assessment.
Proceedings of the British Machine Vision Conference 2018, 2018


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