Boyang Deng

According to our database1, Boyang Deng authored at least 21 papers between 2017 and 2023.

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Bibliography

2023
Stable diffusion for Data Augmentation in COCO and Weed Datasets.
CoRR, 2023

An Improved Neural Network Model Based On CNN Using For Fruit Sugar Degree Detection.
CoRR, 2023

LumiGAN: Unconditional Generation of Relightable 3D Human Faces.
CoRR, 2023

GINA-3D: Learning to Generate Implicit Neural Assets in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Object Occlusion of Adding New Categories in Objection Detection.
CoRR, 2022

Unsupervised Learning of Shape Programs with Repeatable Implicit Parts.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
NeRFactor: neural factorization of shape and reflectance under an unknown illumination.
ACM Trans. Graph., 2021

BlockQNN: Efficient Block-Wise Neural Network Architecture Generation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Canonical Capsules: Self-Supervised Capsules in Canonical Pose.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting 3D Object Detection From an Egocentric Perspective.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Offboard 3D Object Detection From Point Cloud Sequences.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Canonical Capsules: Unsupervised Capsules in Canonical Pose.
CoRR, 2020

NASA Neural Articulated Shape Approximation.
Proceedings of the Computer Vision - ECCV 2020, 2020

CvxNet: Learnable Convex Decomposition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
NASA: Neural Articulated Shape Approximation.
CoRR, 2019

CvxNets: Learnable Convex Decomposition.
CoRR, 2019

Cerberus: A Multi-headed Derenderer.
CoRR, 2019

2017
Peephole: Predicting Network Performance Before Training.
CoRR, 2017

Unleashing the Potential of CNNs for Interpretable Few-Shot Learning.
CoRR, 2017

Hierarchical Deep Recurrent Architecture for Video Understanding.
CoRR, 2017


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