Haobo Yuan

Orcid: 0000-0001-9770-7720

According to our database1, Haobo Yuan authored at least 17 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multi-Task Learning With Multi-Query Transformer for Dense Prediction.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

Point Cloud Mamba: Point Cloud Learning via State Space Model.
CoRR, 2024

OMG-Seg: Is One Model Good Enough For All Segmentation?
CoRR, 2024

RAP-SAM: Towards Real-Time All-Purpose Segment Anything.
CoRR, 2024

Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively.
CoRR, 2024

2023
Monocular Road Planar Parallax Estimation.
IEEE Trans. Image Process., 2023

Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants.
CoRR, 2023

Towards Open Vocabulary Learning: A Survey.
CoRR, 2023

Transformer-Based Visual Segmentation: A Survey.
CoRR, 2023

Tube-Link: A Flexible Cross Tube Baseline for Universal Video Segmentation.
CoRR, 2023

PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation.
CoRR, 2023

Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Multi-Task Learning with Multi-query Transformer for Dense Prediction.
CoRR, 2022

Towards Theoretically Inspired Neural Initialization Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
BOSSA: A Decentralized System for Proofs of Data Retrievability and Replication.
IEEE Trans. Parallel Distributed Syst., 2021


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