Can Wang

Orcid: 0000-0002-5102-1464

Affiliations:
  • City University of Hong Kong, Department of Computer Science, Chow Yei Ching School of Graduate Studies, Hong Kong
  • University of Science and Technology of China, Key Lab of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, Hefei, Anhui, China


According to our database1, Can Wang authored at least 16 papers between 2020 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
NeRF-Art: Text-Driven Neural Radiance Fields Stylization.
IEEE Trans. Vis. Comput. Graph., August, 2024

Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion Model.
CoRR, 2024

Chat2Layout: Interactive 3D Furniture Layout with a Multimodal LLM.
CoRR, 2024

2023
Cross-Domain and Disentangled Face Manipulation With 3D Guidance.
IEEE Trans. Vis. Comput. Graph., April, 2023

Dual Learning for Joint Facial Landmark Detection and Action Unit Recognition.
IEEE Trans. Affect. Comput., 2023

StyleRetoucher: Generalized Portrait Image Retouching with GAN Priors.
CoRR, 2023

Mesh-Guided Neural Implicit Field Editing.
CoRR, 2023

Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields.
CoRR, 2023

AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
HITS: Binarizing physiological time series with deep hashing neural network.
Pattern Recognit. Lett., 2022

FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing.
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Video Affective Content Analysis by Exploring Domain Knowledge.
IEEE Trans. Affect. Comput., 2021

Gated temporal convolutional neural network and expert features for diagnosing and explaining physiological time series: A case study on heart rates.
Comput. Methods Programs Biomed., 2021

Deep Portrait Lighting Enhancement with 3D Guidance.
Comput. Graph. Forum, 2021

2020
CardioID: learning to identification from electrocardiogram data.
Neurocomputing, 2020


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