Jiannan Wu

Orcid: 0009-0001-6367-6994

According to our database1, Jiannan Wu authored at least 17 papers between 2020 and 2023.

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Bibliography

2023
UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces.
CoRR, 2023

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.
CoRR, 2023

Exploring Transformers for Open-world Instance Segmentation.
CoRR, 2023

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks.
CoRR, 2023

Multi-Level Contrastive Learning for Dense Prediction Task.
CoRR, 2023

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Simple Baseline for Open-World Tracking via Self-training.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.
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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploring Transformers for Open-world Instance Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Segment Every Reference Object in Spatial and Temporal Spaces.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Universal Instance Perception as Object Discovery and Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders.
CoRR, 2022

Language as Queries for Referring Video Object Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Towards High-Quality Temporal Action Detection with Sparse Proposals.
CoRR, 2021

Watch Only Once: An End-to-End Video Action Detection Framework.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Global Intelligent Governance - A Collaborative Platform.
Proceedings of the DG.O'21: The 22nd Annual International Conference on Digital Government Research, 2021

2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.
CoRR, 2020


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