Zhangxuan Gu

Orcid: 0000-0002-2102-2693

According to our database1, Zhangxuan Gu authored at least 15 papers between 2019 and 2023.

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

Timeline

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Bibliography

2023
From Pixel to Patch: Synthesize Context-Aware Features for Zero-Shot Semantic Segmentation.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Segment Anything Model Meets Image Harmonization.
CoRR, 2023

Boosting Audio-visual Zero-shot Learning with Large Language Models.
CoRR, 2023

DiffUTE: Universal Text Editing Diffusion Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Dynamic Image Harmonization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Backpropagation Path Search On Adversarial Transferability.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mobile User Interface Element Detection Via Adaptively Prompt Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
DiffusionInst: Diffusion Model for Instance Segmentation.
CoRR, 2022

STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Hard Pixel Mining for Depth Privileged Semantic Segmentation.
IEEE Trans. Multim., 2021

2020
Multi-mode neural network for human action recognition.
IET Comput. Vis., 2020

Context-aware Feature Generation For Zero-shot Semantic Segmentation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Hard Pixels Mining: Learning Using Privileged Information for Semantic Segmentation.
CoRR, 2019

Clothes Keypoints Localization and Attribute Recognition via Prior Knowledge.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019


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