Chaotao Ding

Orcid: 0000-0002-6565-0640

According to our database1, Chaotao Ding authored at least 12 papers between 2023 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Detection of fresh tidiness in supermarket: a deep learning based approach.
Multim. Tools Appl., September, 2024

Reality3DSketch: Rapid 3D Modeling of Objects From Single Freehand Sketches.
IEEE Trans. Multim., 2024

SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More.
CoRR, 2024

Magic3DSketch: Create Colorful 3D Models From Sketch-Based 3D Modeling Guided by Text and Language-Image Pre-Training.
CoRR, 2024

xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart.
CoRR, 2024

New Fashion: Personalized 3D Design with a Single Sketch Input.
Proceedings of the SIGGRAPH Asia 2024 Posters, SA 2024, Tokyo, Japan, December 3-6, 2024, 2024

Rapid 3D Model Generation with Intuitive 3D Input.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Transformer fusion and histogram layer multispectral pedestrian detection network.
Signal Image Video Process., October, 2023

HRANet: histogram-residual-attention network used to measure neatness of toy placement.
Signal Image Video Process., March, 2023

SAM Fails to Segment Anything? - SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, and More.
CoRR, 2023

Deep3DSketch+\+: High-Fidelity 3D Modeling from Single Free-hand Sketches.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

SAM-Adapter: Adapting Segment Anything in Underperformed Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


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