Gangjian Zhang

Orcid: 0000-0003-1503-4513

According to our database1, Gangjian Zhang authored at least 13 papers between 2021 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
WaMo: Wavelet-Enhanced Multi-Frequency Trajectory Analysis for Fine-Grained Text-Motion Retrieval.
CoRR, August, 2025

SMPL Normal Map Is All You Need for Single-view Textured Human Reconstruction.
CoRR, June, 2025

Exploiting Inter-Sample Correlation and Intra-Sample Redundancy for Partially Relevant Video Retrieval.
CoRR, April, 2025

Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MultiGO: Towards Multi-level Geometry Learning for Monocular 3D Textured Human Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Enhance Composed Image Retrieval via Multi-Level Collaborative Localization and Semantic Activeness Perception.
IEEE Trans. Multim., 2024

Multimodal Composition Example Mining for Composed Query Image Retrieval.
IEEE Trans. Image Process., 2024

Multi-granular Semantic Mining for Composed Image Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Heterogeneous Feature Alignment and Fusion in Cross-Modal Augmented Space for Composed Image Retrieval.
IEEE Trans. Multim., 2023

2022
Composed Image Retrieval via Explicit Erasure and Replenishment With Semantic Alignment.
IEEE Trans. Image Process., 2022

2021
Heterogeneous Feature Fusion and Cross-modal Alignment for Composed Image Retrieval.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021


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