Tianyu Wang

Orcid: 0000-0002-8345-3608

Affiliations:
  • Chinese University of Hong Kong, Hong Kong
  • Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China


According to our database1, Tianyu Wang authored at least 12 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Instance Shadow Detection With a Single-Stage Detector.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels.
CoRR, 2023

H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Video Instance Shadow Detection.
CoRR, 2022

Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Single-Image Real-Time Rain Removal Based on Depth-Guided Non-Local Features.
IEEE Trans. Image Process., 2021

Revisiting Shadow Detection: A New Benchmark Dataset for Complex World.
IEEE Trans. Image Process., 2021

SAC-Net: Spatial Attenuation Context for Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2021

Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Single-Stage Instance Shadow Detection With Bidirectional Relation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Instance Shadow Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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