Search Results for author:
Found 14 papers, 8 papers with code
BID: Boundary-Interior Decoding for Unsupervised Temporal Action Localization Pre-Trainin
Skeleton-based motion representations are robust for action localization and understanding for their invariance to perspective, lighting, and occlusion, compared with images.
EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild
EMDB is a novel dataset that contains high-quality 3D SMPL pose and shape parameters with global body and camera trajectories for in-the-wild videos.
PressureVision++: Estimating Fingertip Pressure from Diverse RGB Images
We present a novel approach that enables diverse data to be captured with only an RGB camera and a cooperative participant.
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos with Spherical Buffers and Padded Convolutions
Moving cameras add new challenges in how to fuse newly unveiled image regions with already processed regions efficiently to minimize the update rate - without increasing memory overhead and without knowing the camera extrinsics of future frames.
Social Diffusion: Long-term Multiple Human Motion Anticipation
We propose Social Diffusion, a novel method for short-term and long-term forecasting of the motion of multiple persons as well as their social interactions.
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos
Moving cameras add new challenges in how to fuse newly unveiled image regions with already processed regions efficiently to minimize the update rate - without increasing memory overhead and without knowing the camera extrinsics of future frames.
PressureVision: Estimating Hand Pressure from a Single RGB Image
We also show that the output of our model depends on the appearance of the hand and cast shadows near contact regions.
DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos
With DeltaCNN, we present a sparse convolutional neural network framework that enables sparse frame-by-frame updates to accelerate video inference in practice.
ContactOpt: Optimizing Contact to Improve Grasps
Given a hand mesh and an object mesh, a deep model trained on ground truth contact data infers desirable contact across the surfaces of the meshes.
EM-POSE: 3D Human Pose Estimation From Sparse Electromagnetic Trackers
To this end, we present a method to estimate SMPL parameters from 6-12 EM sensors.
UNOC: Understanding Occlusion for Embodied Presence in Virtual Reality
Tracking body and hand motions in the 3D space is essential for social and self-presence in augmented and virtual environments.
ContactPose: A Dataset of Grasps with Object Contact and Hand Pose
We introduce ContactPose, the first dataset of hand-object contact paired with hand pose, object pose, and RGB-D images.
Ranked #1 on
Grasp Contact Prediction
on ContactPose
DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces
Reconstruction of geometry based on different input modes, such as images or point clouds, has been instrumental in the development of computer aided design and computer graphics.
Parsing Geometry Using Structure-Aware Shape Templates
Real-life man-made objects often exhibit strong and easily-identifiable structure, as a direct result of their design or their intended functionality.
