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20182023
most citedIs Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination

27 citations · 86 across the 23 of their papers we have counts for

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Showing 2022 · cs.CVShow all

6 papers · 2 filters

cs.CV2022

SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency

Yang Liu, Yao Zhang, Yixin Wang +5

Recently, the dominant DETR-based approaches apply central-concept spatial prior to accelerate Transformer detector convergency. These methods gradually refine the reference points…

cs.CV2022

Improving Radiology Summarization with Radiograph and Anatomy Prompts

Jinpeng Hu, Zhihong Chen, Yang Liu +2

The impression is crucial for the referring physicians to grasp key information since it is concluded from the findings and reasoning of radiologists. To alleviate the workload of…

cs.CV2022

Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training

Zhihong Chen, Yuhao Du, Jinpeng Hu +4

Medical vision-and-language pre-training provides a feasible solution to extract effective vision-and-language representations from medical images and texts. However, few studies h…

cs.CV2022★ 11 cited

Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images

Yao Zhang, Jiawei Yang, Yang Liu +6

Purpose: Automated liver tumor segmentation from Computed Tomography (CT) images is a necessary prerequisite in the interventions of hepatic abnormalities and surgery planning. How…

cs.CV2022

Self-supervised Contrastive Learning for Audio-Visual Action Recognition

Yang Liu, Ying Tan, Haoyuan Lan

The underlying correlation between audio and visual modalities can be utilized to learn supervised information for unlabeled videos. In this paper, we propose an end-to-end self-su…

cs.CV2022★ 1 cited

Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip Connections and Hybrid Learning

Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He +3

In this paper we address the challenging problem of domain adaptation in LiDAR semantic segmentation. We consider the setting where we have a fully-labeled data set from source dom…