192 citations · 263 across the 16 of their papers we have counts for
7 papers · 1 filter
SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models
Yang Zhou, Yongjian Wu, Jiya Saiyin +4
Prompt tuning methods have achieved remarkable success in parameter-efficient fine-tuning on large pre-trained models. However, their application to dual-modal fusion-based visual-…
Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras
Yu-Jhe Li, Yan Xu, Rawal Khirodkar +2
We tackle the task of multi-view, multi-person 3D human pose estimation from a limited number of uncalibrated depth cameras. Recently, many approaches have been proposed for 3D hum…
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images
Zhiyun Song, Penghui Du, Junpeng Yan +5
Self-supervised pretraining attempts to enhance model performance by obtaining effective features from unlabeled data, and has demonstrated its effectiveness in the field of histop…
Partitioned Saliency Ranking with Dense Pyramid Transformers
Chengxiao Sun, Yan Xu, Jialun Pei +2
In recent years, saliency ranking has emerged as a challenging task focusing on assessing the degree of saliency at instance-level. Being subjective, even humans struggle to identi…
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation
Yang Zhou, Yongjian Wu, Zihua Wang +5
Nuclei instance segmentation on histopathology images is of great clinical value for disease analysis. Generally, fully-supervised algorithms for this task require pixel-wise manua…
Gland Instance Segmentation by Deep Multichannel Neural Networks
Yan Xu, Yang Li, Mingyuan Liu +4
In this paper, we propose a new image instance segmentation method that segments individual glands (instances) in colon histology images. This is a task called instance segmentatio…