43 citations · 107 across the 8 of their papers we have counts for
8 papers
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
Adam D. Cobb, Anirban Roy, Daniel Elenius +9
We present AircraftVerse, a publicly available aerial vehicle design dataset. Aircraft design encompasses different physics domains and, hence, multiple modalities of representatio…
Deep Ritz Method with Adaptive Quadrature for Linear Elasticity
Min Liu, Zhiqiang Cai, Karthik Ramani
In this paper, we study the deep Ritz method for solving the linear elasticity equation from a numerical analysis perspective. A modified Ritz formulation using the …
Egocentric View Hand Action Recognition by Leveraging Hand Surface and Hand Grasp Type
Sangpil Kim, Jihyun Bae, Hyunggun Chi +3
We introduce a multi-stage framework that uses mean curvature on a hand surface and focuses on learning interaction between hand and object by analyzing hand grasp type for hand ac…
DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation
Zongyue Zhao, Min Liu, Karthik Ramani
Traditional grid/neighbor-based static pooling has become a constraint for point cloud geometry analysis. In this paper, we propose DAR-Net, a novel network architecture that focus…
Latent Transformations for Object View Points Synthesis
Sangpil Kim, Nick Winovich, Guang Lin +1
We propose a fully-convolutional conditional generative model, the latent transformation neural network (LTNN), capable of view synthesis using a light-weight neural network suited…
3D Object Classification via Spherical Projections
Zhangjie Cao, Qixing Huang, Karthik Ramani
In this paper, we introduce a new method for classifying 3D objects. Our main idea is to project a 3D object onto a spherical domain centered around its barycenter and develop neur…
SurfNet: Generating 3D shape surfaces using deep residual networks
Ayan Sinha, Asim Unmesh, Qixing Huang +1
3D shape models are naturally parameterized using vertices and faces, \ie, composed of polygons forming a surface. However, current 3D learning paradigms for predictive and generat…
Deconvolving Feedback Loops in Recommender Systems
Ayan Sinha, David F. Gleich, Karthik Ramani
Collaborative filtering is a popular technique to infer users' preferences on new content based on the collective information of all users preferences. Recommender systems then use…