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Simulation and Control of Deformable Autonomous Airships in Turbulent Wind
Abstract. Fixed wing and multirotor UAVs are common in the field of robo...
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Populating 3D Scenes by Learning Human-Scene Interaction
Humans live within a 3D space and constantly interact with it to perform...
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Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
While current monocular 3D face reconstruction methods can recover fine ...
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We are More than Our Joints: Predicting how 3D Bodies Move
A key step towards understanding human behavior is the prediction of 3D ...
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GRAB: A Dataset of Whole-Body Human Grasping of Objects
Training computers to understand, model, and synthesize human grasping r...
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Monocular Expressive Body Regression through Body-Driven Attention
To understand how people look, interact, or perform tasks, we need to qu...
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STAR: Sparse Trained Articulated Human Body Regressor
The SMPL body model is widely used for the estimation, synthesis, and an...
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SMPLpix: Neural Avatars from 3D Human Models
Recent advances in deep generative models have led to an unprecedented l...
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Generating Person-Scene Interactions in 3D Scenes
High fidelity digital 3D environments have been proposed in recent years...
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Perpetual Motion: Generating Unbounded Human Motion
The modeling of human motion using machine learning methods has been wid...
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AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning
In this letter, we introduce a deep reinforcement learning (RL) based mu...
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Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
The goal of many computer vision systems is to transform image pixels in...
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VIBE: Video Inference for Human Body Pose and Shape Estimation
Human motion is fundamental to understanding behavior. Despite progress ...
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Generating 3D People in Scenes without People
We present a fully-automatic system that takes a 3D scene and generates ...
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Learning Multi-Human Optical Flow
The optical flow of humans is well known to be useful for the analysis o...
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Attacking Optical Flow
Deep neural nets achieve state-of-the-art performance on the problem of ...
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Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
Model-based human pose estimation is currently approached through two di...
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Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
To understand and analyze human behavior, we need to capture humans movi...
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Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"
We present the first method to perform automatic 3D pose, shape and text...
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Learning to Dress 3D People in Generative Clothing
Three-dimensional human body models are widely used in the analysis of h...
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Dressing 3D Humans using a Conditional Mesh-VAE-GAN
Three-dimensional human body models are widely used in the analysis of h...
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Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
The estimation of 3D face shape from a single image must be robust to va...
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Capture, Learning, and Synthesis of 3D Speaking Styles
Audio-driven 3D facial animation has been widely explored, but achieving...
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Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
To facilitate the analysis of human actions, interactions and emotions, ...
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Learning joint reconstruction of hands and manipulated objects
Estimating hand-object manipulations is essential for interpreting and i...
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AMASS: Archive of Motion Capture as Surface Shapes
Large datasets are the cornerstone of recent advances in computer vision...
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Active Perception based Formation Control for Multiple Aerial Vehicles
Autonomous motion capture (mocap) systems for outdoor scenarios involvin...
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Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences
Statistical models of the human body surface are generally learned from ...
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Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time
We demonstrate a novel deep neural network capable of reconstructing hum...
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Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation
The difficulty of annotating training data is a major obstacle to using ...
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Generating 3D faces using Convolutional Mesh Autoencoders
Learned 3D representations of human faces are useful for computer vision...
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Learning Human Optical Flow
The optical flow of humans is well known to be useful for the analysis o...
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Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders
Susceptibility of deep neural networks to adversarial attacks poses a ma...
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Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
We address the unsupervised learning of several interconnected problems ...
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On the Integration of Optical Flow and Action Recognition
Most of the top performing action recognition methods use optical flow a...
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End-to-end Recovery of Human Shape and Pose
We describe Human Mesh Recovery (HMR), an end-to-end framework for recon...
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Towards Accurate Markerless Human Shape and Pose Estimation over Time
Existing marker-less motion capture methods often assume known backgroun...
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On human motion prediction using recurrent neural networks
Human motion modelling is a classical problem at the intersection of gra...
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Optical Flow in Mostly Rigid Scenes
The optical flow of natural scenes is a combination of the motion of the...
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Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs
We address the problem of making human motion capture in the wild more p...
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Unite the People: Closing the Loop Between 3D and 2D Human Representations
3D models provide a common ground for different representations of human...
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Learning from Synthetic Humans
Estimating human pose, shape, and motion from images and videos are fund...
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3D Menagerie: Modeling the 3D shape and pose of animals
There has been significant work on learning realistic, articulated, 3D m...
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Optical Flow Estimation using a Spatial Pyramid Network
We learn to compute optical flow by combining a classical spatial-pyrami...
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Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
We describe the first method to automatically estimate the 3D pose of th...
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Optical Flow with Semantic Segmentation and Localized Layers
Existing optical flow methods make generic, spatially homogeneous, assum...
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