research
∙
12/06/2022
PØDA: Prompt-driven Zero-shot Domain Adaptation
Domain adaptation has been vastly investigated in computer vision but st...
share
research
∙
12/05/2022
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields
3D reconstruction from 2D image was extensively studied, training with d...
research
∙
10/04/2022
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation
Annotation of large-scale 3D data is notoriously cumbersome and costly. ...
research
∙
06/17/2022
Cross-task Attention Mechanism for Dense Multi-task Learning
Multi-task learning has recently become a promising solution for a compr...
research
∙
12/01/2021
MonoScene: Monocular 3D Semantic Scene Completion
MonoScene proposes a 3D Semantic Scene Completion (SSC) framework, where...
research
∙
11/26/2021
ManiFest: Manifold Deformation for Few-shot Image Translation
Most image-to-image translation methods require a large number of traini...
research
∙
09/09/2021
Leveraging Local Domains for Image-to-Image Translation
Image-to-image (i2i) networks struggle to capture local changes because ...
research
∙
07/29/2021
Guided Disentanglement in Generative Networks
Image-to-image translation (i2i) networks suffer from entanglement effec...
research
∙
03/16/2021
Sparse Curriculum Reinforcement Learning for End-to-End Driving
Deep reinforcement Learning for end-to-end driving is limited by the nee...
research
∙
03/12/2021
3D Semantic Scene Completion: a Survey
Semantic Scene Completion (SSC) aims to jointly estimate the complete ge...
research
∙
03/11/2021
CoMoGAN: continuous model-guided image-to-image translation
CoMoGAN is a continuous GAN relying on the unsupervised reorganization o...
research
∙
01/18/2021
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
Domain adaptation is an important task to enable learning when labels ar...
research
∙
09/06/2020
Rain rendering for evaluating and improving robustness to bad weather
Rain fills the atmosphere with water particles, which breaks the common ...
research
∙
08/24/2020
LMSCNet: Lightweight Multiscale 3D Semantic Completion
We introduce a new approach for multiscale 3D semantic scene completion ...
research
∙
06/09/2020
RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking
Augmented reality devices require multiple sensors to perform various ta...
research
∙
04/02/2020
Model-based disentanglement of lens occlusions
With lens occlusions, naive image-to-image networks fail to learn an acc...
research
∙
11/28/2019
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
Unsupervised Domain Adaptation (UDA) is crucial to tackle the lack of an...
research
∙
10/23/2019
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation
Image-to-image translation architectures may have limited effectiveness ...
research
∙
08/27/2019
Physics-Based Rendering for Improving Robustness to Rain
To improve the robustness to rain, we present a physically-based rain re...
research
∙
08/05/2019
3D Reconstruction of Deformable Revolving Object under Heavy Hand Interaction
We reconstruct 3D deformable object through time, in the context of a li...
research
∙
06/25/2019
3D Surface Reconstruction from Voxel-based Lidar Data
To achieve fully autonomous navigation, vehicles need to compute an accu...
research
∙
08/02/2018
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation
Convolutional neural networks are designed for dense data, but vision da...
research
∙
07/23/2018
A Statistical Update of Grid Representations from Range Sensors
In a wide range of robotic applications, being able to create a 3D model...
research
∙
07/06/2018