research
∙
09/09/2019
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
Dense prediction tasks typically employ encoder-decoder architectures, b...
share
research
∙
08/17/2018
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation
Direct prediction of 3D body pose and shape remains a challenge even for...
research
∙
08/10/2017
Semantic Video CNNs through Representation Warping
In this work, we propose a technique to convert CNN models for semantic ...
research
∙
07/24/2017
Towards Accurate Markerless Human Shape and Pose Estimation over Time
Existing marker-less motion capture methods often assume known backgroun...
research
∙
05/11/2017
A Generative Model of People in Clothing
We present the first image-based generative model of people in clothing ...
research
∙
01/10/2017
Unite the People: Closing the Loop Between 3D and 2D Human Representations
3D models provide a common ground for different representations of human...
research
∙
12/16/2016
Video Propagation Networks
We propose a technique that propagates information forward through video...
research
∙
12/15/2016
Reflectance Adaptive Filtering Improves Intrinsic Image Estimation
Separating an image into reflectance and shading layers poses a challeng...
research
∙
06/21/2016
Efficient 2D and 3D Facade Segmentation using Auto-Context
This paper introduces a fast and efficient segmentation technique for 2D...
research
∙
03/17/2015
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
Bilateral filters have wide spread use due to their edge-preserving prop...
research
∙
12/20/2014
Permutohedral Lattice CNNs
This paper presents a convolutional layer that is able to process sparse...
research
∙
02/04/2014