1 citations · 1 across the 6 of their papers we have counts for
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DINO Eats CLIP: Adapting Beyond Knowns for Open-set 3D Object Retrieval
Xinwei He, Yansong Zheng, Qianru Han +7
Vision foundation models have shown great promise for open-set 3D object retrieval (3DOR) through efficient adaptation to multi-view images. Leveraging semantically aligned latent…
FF-PNet: A Pyramid Network Based on Feature and Field for Brain Image Registration
Ying Zhang, Shuai Guo, Chenxi Sun +2
In recent years, deformable medical image registration techniques have made significant progress. However, existing models still lack efficiency in parallel extraction of coarse an…
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment
Zhichuan Wang, Yang Zhou, Jinhai Xiang +2
Learning discriminative 3D representations that generalize well to unknown testing categories is an emerging requirement for many real-world 3D applications. Existing well-establis…
CLIP-SCGI: Synthesized Caption-Guided Inversion for Person Re-Identification
Qianru Han, Xinwei He, Zhi Liu +3
Person re-identification (ReID) has recently benefited from large pretrained vision-language models such as Contrastive Language-Image Pre-Training (CLIP). However, the absence of…
SimpleFusion: A Simple Fusion Framework for Infrared and Visible Images
Ming Chen, Yuxuan Cheng, Xinwei He +3
Integrating visible and infrared images into one high-quality image, also known as visible and infrared image fusion, is a challenging yet critical task for many downstream vision…