Shaohua Li

Affiliations:
  • Agency for Science, Technology and Research (A*STAR), Singapore


According to our database1, Shaohua Li authored at least 12 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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Other 

Links

On csauthors.net:

Bibliography

2024
Global Challenge for Safe and Secure LLMs Track 1.
CoRR, 2024

2023
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis.
Medical Image Anal., 2023

Language Models can do Zero-Shot Visual Referring Expression Comprehension.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment.
CoRR, 2022

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Few-Shot Domain Adaptation with Polymorphic Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Medical Image Segmentation using Squeeze-and-Expansion Transformers.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations.
CoRR, 2020

RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Multi-Instance Multi-Scale CNN for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019


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