most citedKnowledge Condensation and Reasoning for Knowledge-based VQA

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20242 cited

Knowledge Condensation and Reasoning for Knowledge-based VQA

Dongze Hao, Jian Jia, Longteng Guo +8

Knowledge-based visual question answering (KB-VQA) is a challenging task, which requires the model to leverage external knowledge for comprehending and answering questions grounded…

cs.LG2024

CCFC++: Enhancing Federated Clustering through Feature Decorrelation

Jie Yan, Jing Liu, Yi-Zi Ning +1

In federated clustering, multiple data-holding clients collaboratively group data without exchanging raw data. This field has seen notable advancements through its marriage with co…

cs.CV2024

M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images

Hongyi Wang, Xiuju Du, Jing Liu +3

The advancement of Spatial Transcriptomics (ST) has facilitated the spatially-aware profiling of gene expressions based on histopathology images. Although ST data offers valuable i…

eess.IV2023

Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation

Haoran Shen, Yifu Zhang, Wenxuan Wang +4

Recent works have shown that the computational efficiency of 3D medical image (e.g. CT and MRI) segmentation can be impressively improved by dynamic inference based on slice-wise c…

cs.LG20231 cited

Stabilizing Subject Transfer in EEG Classification with Divergence Estimation

Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino +4

Classification models for electroencephalogram (EEG) data show a large decrease in performance when evaluated on unseen test sub jects. We reduce this performance decrease using ne…