Search Results for author:
Found 7 papers, 4 papers with code
Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators
This is important in many scientific applications to identify the underlying mechanisms of a treatment effect.
VDDT: Improving Vessel Detection with Deformable Transfomer
In this paper, we use Deformable DETR as the baseline model and modify it on top of that.
Ranked #1 on
Vessel Detection
on Vessel detection Dateset
Domain Adaptation via Rebalanced Sub-domain Alignment
To address this limitation, we propose a novel generalization bound that reweights source classification error by aligning source and target sub-domains.
Estimating Causal Effects using a Multi-task Deep Ensemble
A number of methods have been proposed for causal effect estimation, yet few have demonstrated efficacy in handling data with complex structures, such as images.
Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel
Many deep learning applications could be enhanced by modeling such known properties.
Ranked #1 on
Gaussian Processes
on UCI POWER
Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks
A new unsupervised learning method of depth and ego-motion using multiple masks from monocular video is proposed in this paper.
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
To improve the compressive sensing MRI (CS-MRI) approaches in terms of fine structure loss under high acceleration factors, we have proposed an iterative feature refinement model (IFR-CS), equipped with fixed transforms, to restore the meaningful structures and details.
