research
∙
07/03/2023
Butterfly factorization by algorithmic identification of rank-one blocks
Many matrices associated with fast transforms posess a certain low-rank ...
share
research
∙
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...
research
∙
04/06/2023
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
Learning models on one labeled dataset that generalize well on another d...
research
∙
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...
research
∙
01/24/2023
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
Semantic segmentation of point clouds in autonomous driving datasets req...
research
∙
12/15/2022
Unsupervised Object Localization: Observing the Background to Discover Objects
Recent advances in self-supervised visual representation learning have p...
research
∙
12/12/2022
ALSO: Automotive Lidar Self-supervision by Occupancy estimation
We propose a new self-supervised method for pre-training the backbone of...
research
∙
08/26/2022
Take One Gram of Neural Features, Get Enhanced Group Robustness
Predictive performance of machine learning models trained with empirical...
research
∙
07/28/2022
Self-supervised learning with rotation-invariant kernels
A major paradigm for learning image representations in a self-supervised...
research
∙
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...
research
∙
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...
research
∙
10/05/2021
FacialFilmroll: High-resolution multi-shot video editing
We present FacialFilmroll, a solution for spatially and temporally consi...
research
∙
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...
research
∙
09/29/2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing objects in image collections without supervision can help to ...
research
∙
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...
research
∙
12/21/2020
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning
Learning image representations without human supervision is an important...
research
∙
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...
research
∙
05/09/2020
High Resolution Face Age Editing
Face age editing has become a crucial task in film post-production, and ...
research
∙
05/09/2020
Photo style transfer with consistency losses
We address the problem of style transfer between two photos and propose ...
research
∙
04/09/2020
LightConvPoint: convolution for points
Recent state-of-the-art methods for point cloud semantic segmentation ar...
research
∙
01/23/2020
Scattering Features for Multimodal Gait Recognition
We consider the problem of identifying people on the basis of their walk...
research
∙
06/13/2018
A Flexible Convolutional Solver with Application to Photorealistic Style Transfer
We propose a new flexible deep convolutional neural network (convnet) to...
research
∙
02/24/2017
Unifying local and non-local signal processing with graph CNNs
This paper deals with the unification of local and non-local signal proc...
research
∙
02/05/2016
Compressive Spectral Clustering
Spectral clustering has become a popular technique due to its high perfo...
research
∙
11/16/2015
Random sampling of bandlimited signals on graphs
We study the problem of sampling k-bandlimited signals on graphs. We pro...
research
∙
07/29/2015
Fast Robust PCA on Graphs
Mining useful clusters from high dimensional data has received significa...
research
∙
12/13/2012
