Lin Li

Orcid: 0000-0002-5678-4487

Affiliations:
  • Zhejiang University, College of Computer Science and Technology, Hangzhou, China.


According to our database1, Lin Li authored at least 14 papers between 2019 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

2025
From Easy to Hard: Learning Curricular Shape-Aware Features for Robust Panoptic Scene Graph Generation.
Int. J. Comput. Vis., January, 2025

2024
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

Seeing Beyond Classes: Zero-Shot Grounded Situation Recognition via Language Explainer.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Question-guided feature pyramid network for medical visual question answering.
Expert Syst. Appl., 2023

Compositional Zero-shot Learning via Progressive Language-based Observations.
CoRR, 2023

Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Addressing Predicate Overlap in Scene Graph Generation with Semantic Granularity Controller.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Compositional Feature Augmentation for Unbiased Scene Graph Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation.
CoRR, 2022

The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Explore Video Clip Order With Self-Supervised and Curriculum Learning for Video Applications.
IEEE Trans. Multim., 2021

Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2019
Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain.
Proceedings of the Working Notes of CLEF 2019, 2019


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