research
∙
06/20/2023
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning
Learning to predict reliable characteristic orientations of 3D point clo...
share
research
∙
06/13/2023
Binary Radiance Fields
In this paper, we propose binary radiance fields (BiRF), a storage-effic...
research
∙
03/25/2023
Instant Domain Augmentation for LiDAR Semantic Segmentation
Despite the increasing popularity of LiDAR sensors, perception algorithm...
research
∙
02/28/2023
LaplacianFusion: Detailed 3D Clothed-Human Body Reconstruction
We propose LaplacianFusion, a novel approach that reconstructs detailed ...
research
∙
10/15/2022
Substructure-Atom Cross Attention for Molecular Representation Learning
Designing a neural network architecture for molecular representation is ...
research
∙
10/03/2022
Sequential Brick Assembly with Efficient Constraint Satisfaction
We address the problem of generating a sequence of LEGO brick assembly w...
research
∙
08/31/2022
Style-Agnostic Reinforcement Learning
We present a novel method of learning style-agnostic representation usin...
research
∙
07/09/2022
Learning to Register Unbalanced Point Pairs
Recent 3D registration methods can effectively handle large-scale or par...
research
∙
06/22/2022
Learning Debiased Classifier with Biased Committee
Neural networks are prone to be biased towards spurious correlations bet...
research
∙
05/25/2022
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
We present a rotated hyperbolic wrapped normal distribution (RoWN), a si...
research
∙
05/24/2022
Learning to Assemble Geometric Shapes
Assembling parts into an object is a combinatorial problem that arises i...
research
∙
12/09/2021
Fast Point Transformer
The recent success of neural networks enables a better interpretation of...
research
∙
12/06/2021
Real-time Registration and Reconstruction with Cylindrical LiDAR Images
Spinning LiDAR data are prevalent for 3D perception tasks, yet its cylin...
research
∙
12/02/2021
Putting 3D Spatially Sparse Networks on a Diet
3D neural networks have become prevalent for many 3D vision tasks includ...
research
∙
11/29/2021
Instance-wise Occlusion and Depth Orders in Natural Scenes
In this paper, we introduce a new dataset, named InstaOrder, that can be...
research
∙
11/23/2021
Deep Point Cloud Reconstruction
Point cloud obtained from 3D scanning is often sparse, noisy, and irregu...
research
∙
11/22/2021
PointMixer: MLP-Mixer for Point Cloud Understanding
MLP-Mixer has newly appeared as a new challenger against the realm of CN...
research
∙
11/10/2021
Self-Supervised Real-time Video Stabilization
Videos are a popular media form, where online video streaming has recent...
research
∙
11/01/2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Conditional Generative Adversarial Networks (cGAN) generate realistic im...
research
∙
10/29/2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
Discovering a solution in a combinatorial space is prevalent in many rea...
research
∙
09/30/2021
HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge
This paper presents a new large multiview dataset called HUMBI for human...
research
∙
09/09/2021
Deep Hough Voting for Robust Global Registration
Point cloud registration is the task of estimating the rigid transformat...
research
∙
08/31/2021
Self-Calibrating Neural Radiance Fields
In this work, we propose a camera self-calibration algorithm for generic...
research
∙
08/23/2021
Realistic Image Synthesis with Configurable 3D Scene Layouts
Recent conditional image synthesis approaches provide high-quality synth...
research
∙
08/20/2021
Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera
This paper presents an effective method for generating a spatiotemporal ...
research
∙
08/20/2021
Deep Virtual Markers for Articulated 3D Shapes
We propose deep virtual markers, a framework for estimating dense and ac...
research
∙
06/23/2020
Contrastive Generative Adversarial Networks
Conditional image synthesis is the task to generate high-fidelity divers...
research
∙
05/17/2020
High-dimensional Convolutional Networks for Geometric Pattern Recognition
Many problems in science and engineering can be formulated in terms of g...
research
∙
04/16/2020
Combinatorial 3D Shape Generation via Sequential Assembly
3D shape generation has drawn attention in computer vision and machine l...
research
∙
04/01/2020
Future Video Synthesis with Object Motion Prediction
We present an approach to predict future video frames given a sequence o...
research
∙
12/01/2018
HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset
This paper presents a new dataset called HUMBI - a large corpus of high ...
research
∙
07/06/2018
Tangent Convolutions for Dense Prediction in 3D
We present an approach to semantic scene analysis using deep convolution...
research
∙
01/30/2018
Open3D: A Modern Library for 3D Data Processing
Open3D is an open-source library that supports rapid development of soft...
research
∙
08/18/2016
