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12 papers · 1 filter
NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis Methods
Qiang Qu, Hanxue Liang, Xiaoming Chen +2
Neural View Synthesis (NVS) has demonstrated efficacy in generating high-fidelity dense viewpoint videos using a image set with sparse views. However, existing quality assessment m…
EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based Vision
Qiang Qu, Xiaoming Chen, Yuk Ying Chung +1
Event-stream representation is the first step for many computer vision tasks using event cameras. It converts the asynchronous event-streams into a formatted structure so that conv…
CUS3D :CLIP-based Unsupervised 3D Segmentation via Object-level Denoise
Fuyang Yu, Runze Tian, Zhen Wang +2
To ease the difficulty of acquiring annotation labels in 3D data, a common method is using unsupervised and open-vocabulary semantic segmentation, which leverage 2D CLIP semantic k…
Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement
Xianmin Chen, Longfei Han, Peiliang Huang +3
Low-light image enhancement, particularly in cross-domain tasks such as mapping from the raw domain to the sRGB domain, remains a significant challenge. Many deep learning-based me…
Dense Voxel 3D Reconstruction Using a Monocular Event Camera
Haodong Chen, Vera Chung, Li Tan +1
Event cameras are sensors inspired by biological systems that specialize in capturing changes in brightness. These emerging cameras offer many advantages over conventional frame-ba…
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction
Yingzi Fan, Longfei Han, Yue Zhang +3
Both visual and auditory information are valuable to determine the salient regions in videos. Deep convolution neural networks (CNN) showcase strong capacity in coping with the aud…