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Jie CHEN, Prof
Associate Professor
,
Department of Computer Science
https://orcid.org/0000-0001-8419-4620
Email
chenjie
hkbu.edu
hk
2013
2026
Research activity per year
Overview
Fingerprint
Network
Projects / Grants
(2)
Research Output
(82)
Activities
(1)
Similar Scholars
(5)
Supervised Work
(6)
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Dive into the research topics where Jie CHEN is active. Topic labels come from the works of this scholar. Together they form a unique fingerprint.
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Weight
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Computer Science
3d Reconstruction
15%
Artificial Intelligence
27%
Autoencoder
18%
Coefficient Alpha
13%
Comparative Evaluation
13%
Computational Efficiency
30%
Convolution
31%
Convolutional Neural Network
27%
Dark Channel Prior
27%
de-noising
20%
Deep Learning Method
27%
Deformation Field
27%
Depth Estimation
69%
Depth Information
32%
Diffusion Model
17%
Embedding Space
34%
Engineered Key
13%
Experimental Result
66%
Explicit Representation
27%
Feature Fusion
20%
Geometric Detail
18%
High Dynamic Range Imaging
20%
Human Motion
20%
Hyperspectral Image
69%
Image Reconstruction
30%
Image Sequence
20%
Image Synthesis
27%
Image-Based Rendering
48%
Intrinsic Property
18%
Learning Framework
41%
Level Consistency
18%
Motion Capture
60%
Neural Radiance Field
55%
Pose Estimation
32%
Reconstruction Algorithm
31%
Regularization
69%
Regularization Term
27%
Residual Neural Network
16%
RGB Image
46%
Scene Modeling
13%
Signed Distance
27%
super resolution
69%
Superior Performance
17%
Superpixel
20%
Superpixel Segmentation
20%
Synthetic Datasets
20%
Telepresence
27%
Virtual Reality
41%
Visual Feature
16%
Volume Rendering
36%
Keyphrases
Aesthetic Style
20%
Angular Regularization
27%
Attention Module
20%
Attention-guided
34%
Benchmark Dataset
19%
Challenging Problems
25%
Coded Aperture
20%
Cross-channel
27%
Cross-modal
24%
Depth Estimation
29%
Diffusion Model
24%
Domain Translation
16%
Embedding Space
25%
Explicit Surfaces
27%
Fusion Module
18%
High Dynamic Range Imaging
27%
High-resolution
17%
Human Avatar
41%
Hyperspectral
18%
Hyperspectral Image Reconstruction
23%
Image Reconstruction
17%
Immersive
24%
Inference Speed
17%
Large Baseline
23%
Learning Strategies
32%
Learning-based
32%
Light Field
100%
Light Field Capture
30%
Light Field Imaging
64%
Light Field Reconstruction
20%
Light Field Synthesis
20%
Masked Autoencoder
18%
Motion Capture
18%
Movement Sequence
20%
Multi-view Images
18%
Multiplane Image
27%
Neural Radiance Field (NeRF)
26%
Novel View Synthesis
67%
Overture
18%
Parallax
23%
Partial Differential Equations
19%
Physics-informed Neural Networks
27%
Radiance Fields
41%
Reconstruction Accuracy
18%
Severe Occlusion
18%
Spatial Super-resolution
17%
State-of-the-art Techniques
51%
Synthesis Methods
23%
Tensorial
27%
Violin Concertos
18%
