activity
20172021
most citedDeconvolving Feedback Loops in Recommender Systems

43 citations · 73 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2021

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…

cs.CV2019

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…

cs.CV2018

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…

cs.CV20173 cited

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…

cs.CV201727 cited

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…

cs.SI201743 cited

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…