Wei Li

Orcid: 0000-0003-1377-1704

Affiliations:
  • SenseTime Smart City Group, Beijing, China


According to our database1, Wei Li authored at least 14 papers between 2021 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
SORCE: Small Object Retrieval in Complex Environments.
CoRR, May, 2025

On the Suitability of Reinforcement Fine-Tuning to Visual Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
Efficient Masked Autoencoders With Self-Consistency.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

2023
Efficient Masked Autoencoders with Self-Consistency.
CoRR, 2023

Balancing Logit Variation for Long-Tailed Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Exploring Stochastic Autoregressive Image Modeling for Visual Representation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection.
CoRR, 2022

Learning from Future: A Novel Self-Training Framework for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

UniVIP: A Unified Framework for Self-Supervised Visual Pre-training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows.
CoRR, 2021

MST: Masked Self-Supervised Transformer for Visual Representation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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