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Found 17 papers, 4 papers with code
EigenFairing: 3D Model Fairing using Image Coherence
This results in textural artifacts, and the model is not perfectly coherent with a set of actual images -- the ones that are used to texture-map its mesh.
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
We present the tailored models of the proposed ReshapeGAN for all the problem settings, and have them tested on 8 kinds of reshaping tasks with 13 different datasets, demonstrating the ability of ReshapeGAN on generating convincing and superior results for object reshaping.
Face Alignment Robust to Pose, Expressions and Occlusions
To account for partial occlusions we introduce, Robust Constrained Local Models, that comprises of a deformable shape and local landmark appearance model and reasons over binary occlusion labels.
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator
We introduce the concept of a Visual Compiler that generates a scene specific pedestrian detector and pose estimator without any pedestrian observations.
Panoptic Studio: A Massively Multiview System for Social Interaction Capture
The core challenges in capturing social interactions are: (1) occlusion is functional and frequent; (2) subtle motion needs to be measured over a space large enough to host a social group; (3) human appearance and configuration variation is immense; and (4) attaching markers to the body may prime the nature of interactions.
How useful is photo-realistic rendering for visual learning?
Data seems cheap to get, and in many ways it is, but the process of creating a high quality labeled dataset from a mass of data is time-consuming and expensive.
Convolutional Pose Machines
Pose Machines provide a sequential prediction framework for learning rich implicit spatial models.
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Panoptic Studio: A Massively Multiview System for Social Motion Capture
We present an approach to capture the 3D structure and motion of a group of people engaged in a social interaction.
Active Sample Selection and Correction Propagation on a Gradually-Augmented Graph
When data have a complex manifold structure or the characteristics of data evolve over time, it is unrealistic to expect a graph-based semi-supervised learning method to achieve flawless classification given a small number of initial annotations.
Inferring 3D Layout of Building Facades From a Single Image
In this paper, we propose a novel algorithm that infers the 3D layout of building facades from a single 2D image of an urban scene.
Learning Scene-Specific Pedestrian Detectors Without Real Data
Our results also yield a surprising result, that our method using purely synthetic data is able to outperform models trained on real scene-specific data when data is limited.
Emotional Expression Classification using Time-Series Kernels
Estimation of facial expressions, as spatio-temporal processes, can take advantage of kernel methods if one considers facial landmark positions and their motion in 3D space.
Correlation Filters for Object Alignment
A typical object alignment system consists of a landmark appearance model which is used to obtain an initial shape and a shape model which refines this initial shape by correcting the initialization errors.
Tracking Human Pose by Tracking Symmetric Parts
In this work, we present an occlusion aware algorithm for tracking human pose in an image sequence, that addresses the problem of double counting.
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
There has been a recent push in extraction of 3D spatial layout of scenes.
Nonrigid Structure from Motion in Trajectory Space
Existing approaches to nonrigid structure from motion assume that the instantaneous 3D shape of a deforming object is a linear combination of basis shapes, which have to be estimated anew for each video sequence.
Color information for region segmentation
In color image processing various kinds of color features can be calculated from the tristimuli R, G, and B.
