Ruoqi Li

According to our database1, Ruoqi Li authored at least 14 papers between 2011 and 2024.

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Bibliography

2024
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection.
CoRR, 2024

2023
GlobalDepth: Global-Aware Attention Model for Unsupervised Monocular Depth Estimation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Semantic Fusion Framework for Unsupervised Monocular Depth Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

One-for-All: Proposal Masked Cross-Class Anomaly Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
From Pixels to Semantics: Self-Supervised Video Object Segmentation With Multiperspective Feature Mining.
IEEE Trans. Image Process., 2022

Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Better Anomaly Detection.
CoRR, 2022

Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure.
Proceedings of the Computer Vision - ECCV 2022, 2022

You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Lightweight Lossless Compression Algorithm for Fast Decompression Application.
Proceedings of the International Conference on UK-China Emerging Technologies, 2021

Multi-Scale Feature Distillation for Anomaly Detection.
Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021

2019
A Knowledge Graph Framework for Software-Defined Industrial Cyber-Physical Systems.
Proceedings of the IECON 2019, 2019

2011
Programming one's itinerary rationally based on the model of the fuzzy biorhythms.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011


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