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08/28/2023
SuperUDF: Self-supervised UDF Estimation for Surface Reconstruction
Learning-based surface reconstruction based on unsigned distance functio...
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08/10/2023
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
The commonly adopted detect-then-match approach to registration finds di...
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06/28/2023
Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction
Surface reconstruction from raw point clouds has been studied for decade...
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03/24/2023
Weakly-supervised Single-view Image Relighting
We present a learning-based approach to relight a single image of Lamber...
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03/15/2023
Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence Refinement
Template matching is a fundamental task in computer vision and has been ...
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03/14/2023
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
We study the problem of reconstructing 3D feature curves of an object fr...
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12/03/2022
Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition
Monocular depth estimation is a challenging problem on which deep neural...
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09/17/2022
6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features
The point pair feature (PPF) is widely used for 6D pose estimation. In t...
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06/27/2022
A Topic-Attentive Transformer-based Model For Multimodal Depression Detection
Depression is one of the most common mental disorders, which imposes hea...
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03/02/2022
DisARM: Displacement Aware Relation Module for 3D Detection
We introduce Displacement Aware Relation Module (DisARM), a novel neural...
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03/01/2022
Automatic Depression Detection via Learning and Fusing Features from Visual Cues
Depression is one of the most prevalent mental disorders, which seriousl...
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02/20/2022
ARM3D: Attention-based relation module for indoor 3D object detection
Relation context has been proved to be useful for many challenging visio...
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08/31/2021
Learning Practically Feasible Policies for Online 3D Bin Packing
We tackle the Online 3D Bin Packing Problem, a challenging yet practical...
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05/12/2021
ROSEFusion: Random Optimization for Online Dense Reconstruction under Fast Camera Motion
Online reconstruction based on RGB-D sequences has thus far been restrai...
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06/26/2020
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
We solve a challenging yet practically useful variant of 3D Bin Packing ...
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03/13/2020
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation
Online semantic 3D segmentation in company with real-time RGB-D reconstr...
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06/18/2019
Active Scene Understanding via Online Semantic Reconstruction
We propose a novel approach to robot-operated active understanding of un...
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03/25/2019
CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss
We introduce CoSegNet, a deep neural network architecture for co-segment...
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03/02/2019
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
Deep learning approaches to 3D shape segmentation are typically formulat...
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09/14/2018
SCORES: Shape Composition with Recursive Substructure Priors
We introduce SCORES, a recursive neural network for shape composition. O...
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03/16/2018