Search Results for author:
Found 6 papers, 1 papers with code
Exploiting Convolution Filter Patterns for Transfer Learning
In this paper, we introduce a new regularization technique for transfer learning.
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation
In this work, we propose a multi-modal Convolutional Neural Network (CNN) approach for brain tumor segmentation.
Unsupervised Dense Shape Correspondence using Heat Kernels
In this work, we propose an unsupervised method for learning dense correspondences between shapes using a recent deep functional map framework.
4D Panoptic LiDAR Segmentation
In this paper, we propose 4D panoptic LiDAR segmentation to assign a semantic class and a temporally-consistent instance ID to a sequence of 3D points.
Demystifying Unsupervised Semantic Correspondence Estimation
We explore semantic correspondence estimation through the lens of unsupervised learning.
SAOR: Single-View Articulated Object Reconstruction
We introduce SAOR, a novel approach for estimating the 3D shape, texture, and viewpoint of an articulated object from a single image captured in the wild.
