research
∙
08/15/2023
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Facial Action Unit (AU) detection is a crucial task in affective computi...
share
research
∙
06/17/2023
Efficient HDR Reconstruction from Real-World Raw Images
High dynamic range (HDR) imaging is still a significant yet challenging ...
research
∙
06/04/2023
rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement
Remote photoplethysmography (rPPG) is an important technique for perceiv...
research
∙
05/31/2023
Physics-Informed Ensemble Representation for Light-Field Image Super-Resolution
Recent learning-based approaches have achieved significant progress in l...
research
∙
05/01/2023
RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Dataset
In recent years, raw video denoising has garnered increased attention du...
research
∙
04/22/2023
NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation
3D representation disentanglement aims to identify, decompose, and manip...
research
∙
04/10/2023
HDR Video Reconstruction with a Large Dynamic Dataset in Raw and sRGB Domains
High dynamic range (HDR) video reconstruction is attracting more and mor...
research
∙
03/13/2023
Unsupervised HDR Image and Video Tone Mapping via Contrastive Learning
Capturing high dynamic range (HDR) images (videos) is attractive because...
research
∙
10/17/2022
ITSRN++: Stronger and Better Implicit Transformer Network for Continuous Screen Content Image Super-Resolution
Nowadays, online screen sharing and remote cooperation are becoming ubiq...
research
∙
09/26/2022
Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset
In recent years, real image super-resolution (SR) has achieved promising...
research
∙
06/05/2022
FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction
The advent of deep learning has led to significant progress in monocular...
research
∙
03/05/2022
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation
A common challenge posed to robust semantic segmentation is the expensiv...
research
∙
12/12/2021
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
Nowadays, there is an explosive growth of screen contents due to the wid...
research
∙
09/08/2021
From Cloud to Edge: A First Look at Public Edge Platforms
Public edge platforms have drawn increasing attention from both academia...
research
∙
03/06/2021
PISE: Person Image Synthesis and Editing with Decoupled GAN
Person image synthesis, e.g., pose transfer, is a challenging problem du...
research
∙
08/23/2020
Geometry-guided Dense Perspective Network for Speech-Driven Facial Animation
Realistic speech-driven 3D facial animation is a challenging problem due...
research
∙
03/31/2020
Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes
In recent years, the supervised learning strategy for real noisy image d...
research
∙
03/01/2020
STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation
In this paper, we propose a spatio-temporal contextual network, STC-Flow...
research
∙
01/17/2020
FPCR-Net: Feature Pyramidal Correlation and Residual Reconstruction for Semi-supervised Optical Flow Estimation
Optical flow estimation is an important yet challenging problem in the f...
research
∙
06/19/2019
Learning to Reconstruct and Understand Indoor Scenes from Sparse Views
This paper proposes a new method for simultaneous 3D reconstruction and ...
research
∙
09/11/2018
Temporal-Spatial Mapping for Action Recognition
Deep learning models have enjoyed great success for image related comput...
research
∙
03/15/2017