1 citations · 1 across the 4 of their papers we have counts for
4 papers
EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation
Nischal Khanal, Shivanand Venkanna Sheshappanavar
Due to their text-to-image synthesis feature, diffusion models have recently seen a rise in visual perception tasks, such as depth estimation. The lack of good-quality datasets mak…
Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations
Tejas Anvekar, Shivanand Venkanna Sheshappanavar
In this paper, we discuss Mahalanobis k-NN: A Statistical Lens designed to address the challenges of feature matching in learning-based point cloud registration when confronted wit…
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View
Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi +2
Fine-grained grocery object recognition is an important computer vision problem with broad applications in automatic checkout, in-store robotic navigation, and assistive technologi…
Local Neighborhood Features for 3D Classification
Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu
With advances in deep learning model training strategies, the training of Point cloud classification methods is significantly improving. For example, PointNeXt, which adopts promin…