Xinyu Zhou

Orcid: 0009-0004-5734-1305

Affiliations:
  • Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, China


According to our database1, Xinyu Zhou authored at least 22 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Gaze2Act: Gaze-Conditioned Vision-Language-Action Policies for Interactive Robot Manipulation.
CoRR, May, 2026

Unified Multimodal Visual Tracking with Dual Mixture-of-Experts.
CoRR, May, 2026

ClickVOS: Click Video Object Segmentation.
IEEE Trans. Circuits Syst. Video Technol., January, 2026

LVOS: A Benchmark for Large-Scale Long-Term Video Object Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

Online predictive generation: Safety-critical trajectory planning for robotic tower crane systems.
Expert Syst. Appl., 2026

Seeing Is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Dynamic Semantic-Aware Correlation Modeling for UAV Tracking.
CoRR, October, 2025

MSVCOD:A Large-Scale Multi-Scene Dataset for Video Camouflage Object Detection.
CoRR, February, 2025

Boosting Adversarial Transferability with Spatial Adversarial Alignment.
CoRR, January, 2025

General Compression Framework for Efficient Transformer Object Tracking.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
General Compression Framework for Efficient Transformer Object Tracking.
CoRR, 2024

Correspondence-based Generative Bayesian Deep Learning for semi-supervised volumetric medical image segmentation.
Comput. Medical Imaging Graph., 2024

DeTrack: In-model Latent Denoising Learning for Visual Object Tracking.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

X-Prompt: Multi-modal Visual Prompt for Video Object Segmentation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Attention in Attention for PET-CT Modality Consensus Lung Tumor Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework.
Proceedings of the Computer Vision - ECCV 2024, 2024

OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Memory Network With Pixel-Level Spatio-Temporal Learning for Visual Object Tracking.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Reading Relevant Feature from Global Representation Memory for Visual Object Tracking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Decision-based Sparse Attacks on Video Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


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