1.2k citations · 2k across the 56 of their papers we have counts for
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3D Shape Induction from 2D Views of Multiple Objects
Matheus Gadelha, Subhransu Maji, Rui Wang
In this paper we investigate the problem of inducing a distribution over three-dimensional structures given two-dimensional views of multiple objects taken from unknown viewpoints.…
3D Shape Segmentation with Projective Convolutional Networks
Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji +1
This paper introduces a deep architecture for segmenting 3D objects into their labeled semantic parts. Our architecture combines image-based Fully Convolutional Networks (FCNs) and…
Adapting Models to Signal Degradation using Distillation
Jong-Chyi Su, Subhransu Maji
Model compression and knowledge distillation have been successfully applied for cross-architecture and cross-domain transfer learning. However, a key requirement is that training e…
High Dimensional Inference with Random Maximum A-Posteriori Perturbations
Tamir Hazan, Francesco Orabona, Anand D. Sarwate +2
This paper presents a new approach, called perturb-max, for high-dimensional statistical inference that is based on applying random perturbations followed by optimization. This fra…