Qi He

Orcid: 0000-0002-6109-9417

Affiliations:
  • Southwest Jiaotong University, Chengdu, China


According to our database1, Qi He authored at least 10 papers between 2021 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
HA-VLN: A Benchmark for Human-Aware Navigation in Discrete-Continuous Environments with Dynamic Multi-Human Interactions, Real-World Validation, and an Open Leaderboard.
CoRR, March, 2025

DualEnhance: External Multimodal Foundation Models Guidance and Internal Fast-Slow Teacher Regulation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

HOOI Detection: Cascade-Clue Integrated Modeling over Multiple Temporal Segments.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dual-Rate Dynamic Teacher for Source-Free Domain Adaptive Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
MagicCartoon: 3D Pose and Shape Estimation for Bipedal Cartoon Characters.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Human-Object-Object Interaction: Towards Human-Centric Complex Interaction Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Domain-Specific Conditional Jigsaw Adaptation for Enhancing transferability and Discriminability.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
A novel class restriction loss for unsupervised domain adaptation.
Neurocomputing, 2021


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