Siang Chen

Orcid: 0000-0002-9235-6439

According to our database1, Siang Chen authored at least 20 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Query-Guided Support Prototypes for Few-Shot 3D Indoor Segmentation.
IEEE Trans. Circuits Syst. Video Technol., June, 2024

Efficient End-to-End 6-Dof Grasp Detection Framework for Edge Devices with Hierarchical Heatmaps and Feature Propagation.
CoRR, 2024

GAP-RL: Grasps As Points for RL Towards Dynamic Object Grasping.
CoRR, 2024

Target-Oriented Object Grasping via Multimodal Human Guidance.
CoRR, 2024

Region-aware Grasp Framework with Normalized Grasp Space for 6-DoF Grasping in Cluttered Scene.
CoRR, 2024

Rethinking 6-Dof Grasp Detection: A Flexible Framework for High-Quality Grasping.
CoRR, 2024

Category-Agnostic Pose Estimation for Point Clouds.
CoRR, 2024

2023
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation.
IEEE Robotics Autom. Lett., November, 2023

Structured Term Pruning for Computational Efficient Neural Networks Inference.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes.
IEEE Robotics Autom. Lett., 2023

2022
Acceleration-Aware Fine-Grained Channel Pruning for Deep Neural Networks via Residual Gating.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Structured precision skipping: Accelerating convolutional neural networks with budget-aware dynamic precision selection.
J. Syst. Archit., 2022

Distribution-aware Low-bit Quantization for 3D Point Cloud Networks.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

2021
DPOQ: Dynamic Precision Onion Quantization.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Fine-Grained Channel Pruning for Deep Residual Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020


IdleSR: Efficient Super-Resolution Network with Multi-scale IdleBlocks.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Adaptive Hybrid Composition Based Super-Resolution Network via Fine-Grained Channel Pruning.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

DFQF: Data Free Quantization-aware Fine-tuning.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
NoUCSR: Efficient Super-Resolution Network without Upsampling Convolution.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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