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04/24/2023
AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation
We present AssemblyHands, a large-scale benchmark dataset with accurate ...
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11/28/2022
In-Hand 3D Object Scanning from an RGB Sequence
We propose a method for in-hand 3D scanning of an unknown object from a ...
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10/31/2022
UmeTrack: Unified multi-view end-to-end hand tracking for VR
Real-time tracking of 3D hand pose in world space is a challenging probl...
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10/18/2022
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos
Convolutional neural network inference on video input is computationally...
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07/30/2022
Neural Correspondence Field for Object Pose Estimation
We propose a method for estimating the 6DoF pose of a rigid object with ...
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03/08/2022
DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos
Convolutional neural network inference on video data requires powerful h...
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12/27/2021
Active Learning with Pseudo-Labels for Multi-View 3D Pose Estimation
Pose estimation of the human body/hand is a fundamental problem in compu...
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09/12/2021
Multiresolution Deep Implicit Functions for 3D Shape Representation
We introduce Multiresolution Deep Implicit Functions (MDIF), a hierarchi...
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03/29/2021
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences
In this paper, we address the problem of building dense correspondences ...
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10/07/2020
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Sparse Neural Networks (NNs) can match the generalization of dense NNs u...
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05/18/2020
Deep Implicit Volume Compression
We describe a novel approach for compressing truncated signed distance f...
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02/10/2020
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation
We propose a novel efficient and lightweight model for human pose estima...
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05/29/2019
Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning
Volumetric (4D) performance capture is fundamental for AR/VR content gen...
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11/12/2018
LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering
Motivated by augmented and virtual reality applications such as telepres...
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10/31/2018
SplineNets: Continuous Neural Decision Graphs
We present SplineNets, a practical and novel approach for using conditio...
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07/25/2018
Conditional Information Gain Networks
Deep neural network models owe their representational power to the high ...
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03/18/2016
