3 papers
cs.CV2026
Adaptive Depth-converted-Scale Convolution for Self-supervised Monocular Depth Estimation
Yanbo Gao, Huibin Bai, Huasong Zhou +6
Self-supervised monocular depth estimation (MDE) has received increasing interests in the last few years. The objects in the scene, including the object size and relationship among…
eess.IV2026
CWRNN-INVR: A Coupled WarpRNN based Implicit Neural Video Representation
Yiyang Li, Yanbo Gao, Shuai Li +5
Implicit Neural Video Representation (INVR) has emerged as a novel approach for video representation and compression, using learnable grids and neural networks. Existing methods fo…
cs.LG2025
Sharpness-aware Federated Graph Learning
Ruiyu Li, Peige Zhao, Guangxia Li +3
One of many impediments to applying graph neural networks (GNNs) to large-scale real-world graph data is the challenge of centralized training, which requires aggregating data from…