Changli Wu

Orcid: 0009-0005-3593-5142

According to our database1, Changli Wu authored at least 12 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation.
CoRR, April, 2026

MVGGT: Multimodal Visual Geometry Grounded Transformer for Multiview 3D Referring Expression Segmentation.
CoRR, January, 2026

3D-STMN++: Leveraging semantic proxies to enhance superpoint-text matching for 3D Referring Expression Segmentation.
Pattern Recognit., 2026

3D-DRES: Detailed 3D Referring Expression Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
JM3D & JM3D-LLM: Elevating 3D Representation With Joint Multi-Modal Cues.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

NeRF-DetS: Enhanced Adaptive Spatial-wise Sampling and View-wise Fusion Strategies for NeRF-based Indoor Multi-view 3D Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2025

IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

3D-GRES: Generalized 3D Referring Expression Segmentation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multimodal Topic and Sentiment Recognition for Chinese Data Based on Pre-trained Encoders.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2020
Research on Personalized Recommendations for Students' Learning Paths Based on Big Data.
Int. J. Emerg. Technol. Learn., 2020


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