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09/04/2023
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion
We present an innovative approach to 3D Human Pose Estimation (3D-HPE) b...
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04/23/2023
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
We propose SeedAL, a method to seed active learning for efficient annota...
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04/06/2023
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
Learning models on one labeled dataset that generalize well on another d...
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01/24/2023
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
Casting semantic segmentation of outdoor LiDAR point clouds as a 2D prob...
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01/24/2023
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
Semantic segmentation of point clouds in autonomous driving datasets req...
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12/12/2022
ALSO: Automotive Lidar Self-supervision by Occupancy estimation
We propose a new self-supervised method for pre-training the backbone of...
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09/19/2022
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
We propose a simple, yet powerful approach for unsupervised object segme...
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08/26/2022
Take One Gram of Neural Features, Get Enhanced Group Robustness
Predictive performance of machine learning models trained with empirical...
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03/30/2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Segmenting or detecting objects in sparse Lidar point clouds are two imp...
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02/03/2022
Deep Surface Reconstruction from Point Clouds with Visibility Information
Most current neural networks for reconstructing surfaces from point clou...
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01/05/2022
POCO: Point Convolution for Surface Reconstruction
Implicit neural networks have been successfully used for surface reconst...
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11/30/2021
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping
There has been recently a growing interest for implicit shape representa...
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10/04/2021
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
Rigid registration of point clouds with partial overlaps is a longstandi...
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09/29/2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing objects in image collections without supervision can help to ...
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08/13/2021
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud
While there has been a number of studies on Zero-Shot Learning (ZSL) for...
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07/13/2021
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
We introduce a novel learning-based, visibility-aware, surface reconstru...
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05/12/2021
PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning
Motivated by the need of estimating the pose (viewpoint) of arbitrary ob...
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07/23/2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Detecting objects and estimating their viewpoint in images are key tasks...
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07/23/2020
Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference Application
We formalize concepts around geometric occlusion in 2D images (i.e., ign...
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07/22/2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
We propose and study a method called FLOT that estimates scene flow on p...
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06/23/2020
Spherical Perspective on Learning with Batch Norm
Batch Normalization (BN) is a prominent deep learning technique. In spit...
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04/09/2020
LightConvPoint: convolution for points
Recent state-of-the-art methods for point cloud semantic segmentation ar...
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11/01/2019
Surface Reconstruction from 3D Line Segments
In man-made environments such as indoor scenes, when point-based 3D reco...
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06/12/2019
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects
Most deep pose estimation methods need to be trained for specific object...
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02/07/2019
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration
Localizing an object accurately with respect to a robot is a key step fo...
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03/23/2017
Robust SfM with Little Image Overlap
Usual Structure-from-Motion (SfM) techniques require at least trifocal o...
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09/13/2016
Crafting a multi-task CNN for viewpoint estimation
Convolutional Neural Networks (CNNs) were recently shown to provide stat...
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06/21/2016
Efficient 2D and 3D Facade Segmentation using Auto-Context
This paper introduces a fast and efficient segmentation technique for 2D...
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12/22/2014
