4k citations · 4.5k across the 21 of their papers we have counts for
4 papers · 1 filter
Can Temporal Information Help with Contrastive Self-Supervised Learning?
Yutong Bai, Haoqi Fan, Ishan Misra +6
Leveraging temporal information has been regarded as essential for developing video understanding models. However, how to properly incorporate temporal information into the recent…
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation
Hanwen Cao, Yongyi Lu, Cewu Lu +3
Recent works of point clouds show that mulit-frame spatio-temporal modeling outperforms single-frame versions by utilizing cross-frame information. In this paper, we further improv…
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation
Shuhao Fu, Yongyi Lu, Yan Wang +4
In this paper, we present a novel unsupervised domain adaptation (UDA) method, named Domain Adaptive Relational Reasoning (DARR), to generalize 3D multi-organ segmentation models t…
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors
Zhuotun Zhu, Yongyi Lu, Wei Shen +2
This work presents comprehensive results to detect in the early stage the pancreatic neuroendocrine tumors (PNETs), a group of endocrine tumors arising in the pancreas, which are t…