Srinath Sridhar

research

∙ 08/20/2023

Strata-NeRF : Neural Radiance Fields for Stratified Scenes

Neural Radiance Field (NeRF) approaches learn the underlying 3D represen...

0 Ankit Dhiman, et al. ∙

research

∙ 07/31/2023

DiVA-360: The Dynamic Visuo-Audio Dataset for Immersive Neural Fields

Advances in neural fields are enabling high-fidelity capture of the shap...

0 Cheng-You Lu, et al. ∙

research

∙ 03/02/2023

Semantic Attention Flow Fields for Dynamic Scene Decomposition

We present SAFF: a dynamic neural volume reconstruction of a casual mono...

0 Yiqing Liang, et al. ∙

research

∙ 01/23/2023

LEGO-Net: Learning Regular Rearrangements of Objects in Rooms

Humans universally dislike the task of cleaning up a messy room. If mach...

2 Qiuhong Anna Wei, et al. ∙

research

∙ 12/05/2022

Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields

Coordinate-based implicit neural networks, or neural fields, have emerge...

0 Rohith Agaram, et al. ∙

research

∙ 11/02/2022

TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text

Language is one of the primary means by which we describe the 3D world a...

0 Aditya Sanghi, et al. ∙

research

∙ 07/19/2022

ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model

We present ShapeCrafter, a neural network for recursive text-conditioned...

0 Rao Fu, et al. ∙

research

∙ 06/17/2022

Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections

3D models of manufactured objects are important for populating virtual w...

0 Xianghao Xu, et al. ∙

research

∙ 06/12/2022

NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation

In visual computing, 3D geometry is represented in many different forms ...

0 Trevor Houchens, et al. ∙

research

∙ 01/19/2022

ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes

Progress in 3D object understanding has relied on manually canonicalized...

5 Rahul Sajnani, et al. ∙

research

∙ 12/13/2021

Learning Body-Aware 3D Shape Generative Models

The shape of many objects in the built environment is dictated by their ...

13 Bryce Blinn, et al. ∙

research

∙ 11/22/2021

Neural Fields in Visual Computing and Beyond

Recent advances in machine learning have created increasing interest in ...

4 Yiheng Xie, et al. ∙

research

∙ 05/17/2021

StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects

We present StrobeNet, a method for category-level 3D reconstruction of a...

8 Ge Zhang, et al. ∙

research

∙ 05/10/2021

HuMoR: 3D Human Motion Model for Robust Pose Estimation

We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of tem...

11 Davis Rempe, et al. ∙

research

∙ 11/25/2020

DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects

We present DRACO, a method for Dense Reconstruction And Canonicalization...

1 Rahul Sajnani, et al. ∙

research

∙ 08/18/2020

Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images

We investigate the problem of learning to generate 3D parametric surface...

10 Jiahui Lei, et al. ∙

research

∙ 08/06/2020

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations

We propose CaSPR, a method to learn object-centric canonical spatiotempo...

6 Davis Rempe, et al. ∙

research

∙ 02/26/2020

Representation Learning Through Latent Canonicalizations

We seek to learn a representation on a large annotated data source that ...

21 Or Litany, et al. ∙

research

∙ 02/06/2020

Continuous Geodesic Convolutions for Learning on 3D Shapes

The majority of descriptor-based methods for geometric processing of non...

15 Zhangsihao Yang, et al. ∙

research

∙ 01/16/2020

Predicting the Physical Dynamics of Unseen 3D Objects

Machines that can predict the effect of physical interactions on the dyn...

19 Davis Rempe, et al. ∙

research

∙ 07/01/2019

Multiview Aggregation for Learning Category-Specific Shape Reconstruction

We investigate the problem of learning category-specific 3D surface shap...

1 Srinath Sridhar, et al. ∙

research

∙ 01/09/2019

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

The goal of this paper is to estimate the 6D pose and dimensions of unse...

17 He Wang, et al. ∙

research

∙ 01/02/2019

Learning Generalizable Physical Dynamics of 3D Rigid Objects

Humans have a remarkable ability to predict the effect of physical inter...

17 Davis Rempe, et al. ∙

research

∙ 12/09/2017

Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input

We propose a new efficient single-shot method for multi-person 3D pose e...

0 Dushyant Mehta, et al. ∙

research

∙ 12/04/2017

GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB

We address the highly challenging problem of real-time 3D hand tracking ...

0 Franziska Mueller, et al. ∙

research

∙ 05/03/2017

VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera

We present the first real-time method to capture the full global 3D skel...

0 Dushyant Mehta, et al. ∙

research

∙ 04/07/2017

Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor

We present an approach for real-time, robust and accurate hand pose esti...

0 Franziska Mueller, et al. ∙

research

∙ 10/16/2016

Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input

Real-time simultaneous tracking of hands manipulating and interacting wi...

0 Srinath Sridhar, et al. ∙

research

∙ 02/12/2016

Fast and Robust Hand Tracking Using Detection-Guided Optimization

Markerless tracking of hands and fingers is a promising enabler for huma...

0 Srinath Sridhar, et al. ∙

research

∙ 02/11/2016

Real-Time Hand Tracking Using a Sum of Anisotropic Gaussians Model

Real-time marker-less hand tracking is of increasing importance in human...

0 Srinath Sridhar, et al. ∙

Srinath Sridhar

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