research
∙
08/09/2023
Scene-Generalizable Interactive Segmentation of Radiance Fields
Existing methods for interactive segmentation in radiance fields entail ...
share
research
∙
08/07/2023
Feature Decoupling-Recycling Network for Fast Interactive Segmentation
Recent interactive segmentation methods iteratively take source image, u...
research
∙
11/21/2022
H-VFI: Hierarchical Frame Interpolation for Videos with Large Motions
Capitalizing on the rapid development of neural networks, recent video f...
research
∙
09/28/2022
DeViT: Deformed Vision Transformers in Video Inpainting
This paper proposes a novel video inpainting method. We make three main ...
research
∙
05/27/2022
Multi-criteria Decision-making of Intelligent Vehicles under Fault Condition Enhancing Public-private Partnership
With the development of vehicular technologies on automation, electrific...
research
∙
04/14/2022
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling
Temporal modeling is crucial for video super-resolution. Most of the vid...
research
∙
10/16/2021
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review
Scenario-based approaches have been receiving a huge amount of attention...
research
∙
06/04/2021
MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution
Reference-based image super-resolution (RefSR) has shown promising succe...
research
∙
05/28/2021
Short-term Maintenance Planning of Autonomous Trucks for Minimizing Economic Risk
New autonomous driving technologies are emerging every day and some of t...
research
∙
07/23/2020
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Video super-resolution (VSR) aims to utilize multiple low-resolution fra...
research
∙
03/15/2020
VCNet: A Robust Approach to Blind Image Inpainting
Blind inpainting is a task to automatically complete visual contents wit...
research
∙
12/05/2019
Architecting Safety Supervisors for High Levels of Automated Driving
The complexity of automated driving poses challenges for providing safet...
research
∙
11/21/2019
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Conditional generative adversarial networks have shown exceptional gener...
research
∙
07/02/2019
Attribute-Driven Spontaneous Motion in Unpaired Image Translation
Current image translation methods, albeit effective to produce high-qual...
research
∙
07/02/2019
Landmark Assisted CycleGAN for Cartoon Face Generation
In this paper, we are interested in generating an cartoon face of a pers...
research
∙
10/20/2018
Image Inpainting via Generative Multi-column Convolutional Neural Networks
In this paper, we propose a generative multi-column network for image in...
research
∙
03/15/2018
Facelet-Bank for Fast Portrait Manipulation
Digital face manipulation has become a popular and fascinating way to to...
research
∙
02/06/2018
Scale-recurrent Network for Deep Image Deblurring
In single image deblurring, the "coarse-to-fine" scheme, i.e. gradually ...
research
∙
04/10/2017
Detail-revealing Deep Video Super-resolution
Previous CNN-based video super-resolution approaches need to align multi...
research
∙
04/07/2017
High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits
Estimating correspondence between two images and extracting the foregrou...
research
∙
04/07/2017
