Yong Liu

Orcid: 0009-0000-3078-1598

Affiliations:
  • Tsinghua University, Tsinghua Shenzhen International Graduate School, China


According to our database1, Yong Liu authored at least 31 papers between 2021 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

2025
Flash-VStream: Efficient Real-Time Understanding for Long Video Streams.
CoRR, June, 2025

Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation.
CoRR, June, 2025

DreamLight: Towards Harmonious and Consistent Image Relighting.
CoRR, June, 2025

Learning High-Quality Dynamic Memory for Video Object Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning.
CoRR, May, 2025

LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation.
CoRR, January, 2025

SAM2-LOVE: Segment Anything Model 2 in Language-aided Audio-Visual Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models.
CoRR, 2024

HyperSeg: Towards Universal Visual Segmentation with Large Language Model.
CoRR, 2024

Self-Calibrated CLIP for Training-Free Open-Vocabulary Segmentation.
CoRR, 2024

Hierarchical Memory for Long Video QA.
CoRR, 2024

Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams.
CoRR, 2024

HDC: Hierarchical Semantic Decoding with Counting Assistance for Generalized Referring Expression Segmentation.
CoRR, 2024

Adapting LLaMA Decoder to Vision Transformer.
CoRR, 2024

1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation.
CoRR, 2024

Fully Aligned Network for Referring Image Segmentation.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Universal Segmentation at Arbitrary Granularity with Language Instruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Open-Vocabulary Segmentation with Semantic-Assisted Calibration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer.
CoRR, 2023

SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Global Knowledge Calibration for Fast Open-Vocabulary Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition.
CoRR, 2022

Learning Quality-aware Dynamic Memory for Video Object Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Global Spectral Filter Memory Network for Video Object Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Searching Parameterized AP Loss for Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Quantitative Metric for Privacy Leakage in Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021


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