8 citations · 8 across the 6 of their papers we have counts for
7 papers
Emotion Diffusion Classifier with Adaptive Margin Discrepancy Training for Facial Expression Recognition
Rongkang Dong, Cuixin Yang, Cong Zhang +2
Facial Expression Recognition (FER) is essential for human-machine interaction, as it enables machines to interpret human emotions and internal states from facial affective behavio…
Multi-level distortion-aware deformable network for omnidirectional image super-resolution
Cuixin Yang, Rongkang Dong, Kin-Man Lam +2
As augmented reality and virtual reality applications gain popularity, image processing for OmniDirectional Images (ODIs) has attracted increasing attention. OmniDirectional Image…
Vision-Language Model Guided Image Restoration
Cuixin Yang, Rongkang Dong, Kin-Man Lam
Many image restoration (IR) tasks require both pixel-level fidelity and high-level semantic understanding to recover realistic photos with fine-grained details. However, previous a…
Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning
Yushen Zuo, Jun Xiao, Kin-Chung Chan +5
The stylization of 3D scenes is an increasingly attractive topic in 3D vision. Although image style transfer has been extensively researched with promising results, directly applyi…
AIM 2024 Sparse Neural Rendering Challenge: Methods and Results
Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay +27
This paper reviews the challenge on Sparse Neural Rendering that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. This manuscript…
Geometric Distortion Guided Transformer for Omnidirectional Image Super-Resolution
Cuixin Yang, Rongkang Dong, Jun Xiao +4
As virtual and augmented reality applications gain popularity, omnidirectional image (ODI) super-resolution has become increasingly important. Unlike 2D plain images that are forme…
Resource-Constrained Edge AI with Early Exit Prediction
Rongkang Dong, Yuyi Mao, Jun Zhang
By leveraging the data sample diversity, the early-exit network recently emerges as a prominent neural network architecture to accelerate the deep learning inference process. Howev…