Feng Zhou

Orcid: 0000-0001-9184-2040

Affiliations:
  • Beihang University, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China


According to our database1, Feng Zhou authored at least 12 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Free editing of Shape and Texture with Deformable Net for 3D Caricature Generation.
Vis. Comput., July, 2024

AHRNET: Attention and Heatmap-Based Regressor for Hand Pose Estimation and Mesh Recovery.
Proceedings of the IEEE International Conference on Acoustics, 2024

FormationCreator: Designing A VR Dance Formation System for Intangible Cultural Heritage Dance.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023
KD-Former: Kinematic and dynamic coupled transformer network for 3D human motion prediction.
Pattern Recognit., November, 2023

GFENet: Group-Free Enhancement Network for Indoor Scene 3D Object Detection.
Proceedings of the Advances in Computer Graphics, 2023

2022
Scale-aware network with modality-awareness for RGB-D indoor semantic segmentation.
Neurocomputing, 2022

MCGNet: Multi-Level Context-aware and Geometric-aware Network for 3D Object Detection.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2020
Scale-aware spatial pyramid pooling with both encoder-mask and scale-attention for semantic segmentation.
Neurocomputing, 2020

SHREC 2020 Track: Non-rigid Shape Correspondence of Physically-Based Deformations.
Proceedings of the 13th Eurographics Workshop on 3D Object Retrieval, 2020

2019
MSANet: multimodal self-augmentation and adversarial network for RGB-D object recognition.
Vis. Comput., 2019

2018
MFDCNN: A Multimodal Fusion DCNN Framework for Object Detection and Segmentation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


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