Search Results for author: Jiahui Huang

Found 20 papers, 8 papers with code

Approximately Piecewise E(3) Equivariant Point Networks

no code implementations13 Feb 2024 Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany

Integrating a notion of symmetry into point cloud neural networks is a provably effective way to improve their generalization capability.

Uncertainty Quantification

XCube ($\mathcal{X}^3$): Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies

no code implementations6 Dec 2023 Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams

In addition to unconditional generation, we show that our model can be used to solve a variety of tasks such as user-guided editing, scene completion from a single scan, and text-to-3D.

3D Shape Generation Scene Generation +1

INVE: Interactive Neural Video Editing

no code implementations15 Jul 2023 Jiahui Huang, Leonid Sigal, Kwang Moo Yi, Oliver Wang, Joon-Young Lee

We present Interactive Neural Video Editing (INVE), a real-time video editing solution, which can assist the video editing process by consistently propagating sparse frame edits to the entire video clip.

Video Editing

Neural Kernel Surface Reconstruction

no code implementations CVPR 2023 Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams

We present a novel method for reconstructing a 3D implicit surface from a large-scale, sparse, and noisy point cloud.

Surface Reconstruction

Revisiting Acceptability Judgements

1 code implementation23 May 2023 Hai Hu, Ziyin Zhang, Weifang Huang, Jackie Yan-Ki Lai, Aini Li, Yina Patterson, Jiahui Huang, Peng Zhang, Chien-Jer Charles Lin, Rui Wang

We introduce CoLAC - Corpus of Linguistic Acceptability in Chinese, the first large-scale acceptability dataset for a non-Indo-European language.

Cross-Lingual Transfer Linguistic Acceptability

DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion

no code implementations ICCV 2023 Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J Guibas

We propose a factorization that models independent part style and part configuration distributions and presents a novel cross-diffusion network that enables us to generate coherent and plausible shapes under our proposed factorization.

Point Cloud Generation

FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning

no code implementations21 Feb 2023 Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu

Vertical Federated Learning (VFL) enables multiple data owners, each holding a different subset of features about largely overlapping sets of data sample(s), to jointly train a useful global model.

Feature Importance feature selection +1

Dynamic 3D Scene Analysis by Point Cloud Accumulation

1 code implementation25 Jul 2022 Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler

Compared to state-of-the-art scene flow estimators, our proposed approach aims to align all 3D points in a common reference frame correctly accumulating the points on the individual objects.

Autonomous Vehicles Semantic Segmentation +1

Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization

1 code implementation25 Nov 2021 Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu

We present SyNoRiM, a novel way to jointly register multiple non-rigid shapes by synchronizing the maps relating learned functions defined on the point clouds.

Point Cloud Registration

CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-scale Indoor Scene

no code implementations25 Nov 2021 Haoxiang Chen, Jiahui Huang, Tai-Jiang Mu, Shi-Min Hu

We present CIRCLE, a framework for large-scale scene completion and geometric refinement based on local implicit signed distance functions.

Layered Controllable Video Generation

no code implementations24 Nov 2021 Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal

In the first stage, with the rich set of losses and dynamic foreground size prior, we learn how to separate the frame into foreground and background layers and, conditioned on these layers, how to generate the next frame using VQ-VAE generator.

Video Generation

Subdivision-Based Mesh Convolution Networks

1 code implementation4 Jun 2021 Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo, Jun-Xiong Cai, Jiahui Huang, Tai-Jiang Mu, Ralph R. Martin

Meshes with arbitrary connectivity can be remeshed to have Loop subdivision sequence connectivity via self-parameterization, making SubdivNet a general approach.

3D Classification

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization

1 code implementation CVPR 2021 Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas Guibas

We present MultiBodySync, a novel, end-to-end trainable multi-body motion segmentation and rigid registration framework for multiple input 3D point clouds.

Motion Estimation Motion Segmentation +1

DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors

1 code implementation CVPR 2021 Jiahui Huang, Shi-Sheng Huang, Haoxuan Song, Shi-Min Hu

Previous online 3D dense reconstruction methods struggle to achieve the balance between memory storage and surface quality, largely due to the usage of stagnant underlying geometry representation, such as TSDF (truncated signed distance functions) or surfels, without any knowledge of the scene priors.

3D Reconstruction

Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning

2 code implementations ECCV 2020 Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig

In this paper, we tackle an open research question in transfer learning, which is selecting a model initialization to achieve high performance on a new task, given several pre-trained models.

Model Selection Semantic Segmentation +1

ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings

no code implementations CVPR 2020 Jiahui Huang, Sheng Yang, Tai-Jiang Mu, Shi-Min Hu

We present ClusterVO, a stereo Visual Odometry which simultaneously clusters and estimates the motion of both ego and surrounding rigid clusters/objects.

Autonomous Driving Clustering +2

Shallow2Deep: Indoor Scene Modeling by Single Image Understanding

no code implementations22 Feb 2020 Yinyu Nie, Shihui Guo, Jian Chang, Xiaoguang Han, Jiahui Huang, Shi-Min Hu, Jian Jun Zhang

Particularly, we design a shallow-to-deep architecture on the basis of convolutional networks for semantic scene understanding and modeling.

Relation Network Scene Understanding

ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation

no code implementations ICCV 2019 Jiahui Huang, Sheng Yang, Zishuo Zhao, Yu-Kun Lai, Shi-Min Hu

We present a practical backend for stereo visual SLAM which can simultaneously discover individual rigid bodies and compute their motions in dynamic environments.

Clustering Motion Estimation

Deep Anchored Convolutional Neural Networks

no code implementations22 Apr 2019 Jiahui Huang, Kshitij Dwivedi, Gemma Roig

Convolutional Neural Networks (CNNs) have been proven to be extremely successful at solving computer vision tasks.

DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces

2 code implementations12 Jan 2019 Jun Gao, Chengcheng Tang, Vignesh Ganapathi-Subramanian, Jiahui Huang, Hao Su, Leonidas J. Guibas

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.

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