Chen Li

Affiliations:
  • National University of Singapore, Computer Science Department, Singapore


According to our database1, Chen Li authored at least 15 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance.
CoRR, 2023

GHuNeRF: Generalizable Human NeRF from a Monocular Video.
CoRR, 2023

OD-NeRF: Efficient Training of On-the-Fly Dynamic Neural Radiance Fields.
CoRR, 2023

Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction.
CoRR, 2023

GNeSF: Generalizable Neural Semantic Fields.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Weakly-supervised 3D Pose Transfer with Keypoints.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Overcoming the TradeOff between Accuracy and Plausibility in 3D Hand Shape Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ScarceNet: Animal Pose Estimation with Scarce Annotations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Incremental Learning for Neural Radiance Field with Uncertainty-Filtered Knowledge Distillation.
CoRR, 2022

2021
Coarse-to-fine Animal Pose and Shape Estimation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Convolutional Sequence to Sequence Model for Human Dynamics.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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