research
∙
05/23/2023
Neural Image Re-Exposure
The shutter strategy applied to the photo-shooting process has a signifi...
share
research
∙
05/13/2023
Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
Temporal Knowledge graph completion (TKGC) is a crucial task that involv...
research
∙
03/24/2023
GM-NeRF: Learning Generalizable Model-based Neural Radiance Fields from Multi-view Images
In this work, we focus on synthesizing high-fidelity novel view images f...
research
∙
04/29/2022
AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement
The 3D Lookup Table (3D LUT) is a highly-efficient tool for real-time im...
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
∙
04/04/2022
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty
The ability to make educated predictions about their surroundings, and a...
research
∙
03/25/2022
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
Recording fast motion in a high FPS (frame-per-second) requires expensiv...
research
∙
03/21/2022
Learning Enriched Illuminants for Cross and Single Sensor Color Constancy
Color constancy aims to restore the constant colors of a scene under dif...
research
∙
03/18/2022
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation aims to learn a model with the sup...
research
∙
12/01/2021
Transformer-based Network for RGB-D Saliency Detection
RGB-D saliency detection integrates information from both RGB images and...
research
∙
09/28/2021
Motion Deblurring with Real Events
In this paper, we propose an end-to-end learning framework for event-bas...
research
∙
08/03/2021
Wavelet-Based Network For High Dynamic Range Imaging
High dynamic range (HDR) imaging from multiple low dynamic range (LDR) i...
research
∙
07/30/2021
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation
Most existing domain adaptation methods focus on adaptation from only on...
research
∙
06/07/2021
Multi-Target Domain Adaptation with Collaborative Consistency Learning
Recently unsupervised domain adaptation for the semantic segmentation ta...
research
∙
03/08/2021
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation
Multi-source unsupervised domain adaptation (MSDA) aims at adapting mode...
research
∙
03/08/2021
Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation
Data-driven based approaches, in spite of great success in many tasks, h...
research
∙
01/08/2021
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
In the last few years, image denoising has benefited a lot from the fast...
research
∙
08/02/2020
Video Super-Resolution with Recurrent Structure-Detail Network
Most video super-resolution methods super-resolve a single reference fra...
research
∙
07/21/2020
Video Super-resolution with Temporal Group Attention
Video super-resolution, which aims at producing a high-resolution video ...
research
∙
04/01/2020
Learning to Select Base Classes for Few-shot Classification
Few-shot learning has attracted intensive research attention in recent y...
research
∙
03/30/2020
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem
This work investigates the task of unsupervised model personalization, a...
research
∙
10/07/2019
Unsupervised Image Super-Resolution with an Indirect Supervised Path
The task of single image super-resolution (SISR) aims at reconstructing ...
research
∙
09/25/2019
Efficient Residual Dense Block Search for Image Super-Resolution
Although remarkable progress has been made on single image super-resolut...
research
∙
09/18/2019
Continual learning: A comparative study on how to defy forgetting in classification tasks
Artificial neural networks thrive in solving the classification problem ...
research
∙
07/25/2019
Co-Evolutionary Compression for Unpaired Image Translation
Generative adversarial networks (GANs) have been successfully used for c...
research
∙
03/11/2019
Video Generation from Single Semantic Label Map
This paper proposes the novel task of video generation conditioned on a ...
research
∙
05/28/2018
Exemplar Guided Unsupervised Image-to-Image Translation
Image-to-image translation task has become a popular topic recently. Mos...
research
∙
12/18/2017
Super-Resolution with Deep Adaptive Image Resampling
Deep learning based methods have recently pushed the state-of-the-art on...
research
∙
12/11/2017
Error Correction for Dense Semantic Image Labeling
Pixelwise semantic image labeling is an important, yet challenging, task...
research
∙
05/25/2017
Pose Guided Person Image Generation
This paper proposes the novel Pose Guided Person Generation Network (PG^...
research
∙
05/31/2016
Dynamic Filter Networks
In a traditional convolutional layer, the learned filters stay fixed aft...
research
∙
09/16/2015
