36 citations · 64 across the 7 of their papers we have counts for
7 papers
V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation
Hanyue Lou, Jinxiu Liang, Minggui Teng +2
Event-based cameras offer unique advantages such as high temporal resolution, high dynamic range, and low power consumption. However, the massive storage requirements and I/O burde…
E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion Priors
Jinxiu Liang, Bohan Yu, Yixin Yang +2
Event cameras, mimicking the human retina, capture brightness changes with unparalleled temporal resolution and dynamic range. Integrating events into intensities poses a highly il…
Language-guided Image Reflection Separation
Haofeng Zhong, Yuchen Hong, Shuchen Weng +2
This paper studies the problem of language-guided reflection separation, which aims at addressing the ill-posed reflection separation problem by introducing language descriptions t…
NeuralMPS: Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition
Jipeng Lv, Heng Guo, Guanying Chen +2
Multispectral photometric stereo(MPS) aims at recovering the surface normal of a scene from a single-shot multispectral image captured under multispectral illuminations. Existing M…
Recurrent Exposure Generation for Low-Light Face Detection
Jinxiu Liang, Jingwen Wang, Yuhui Quan +4
Face detection from low-light images is challenging due to limited photos and inevitable noise, which, to make the task even harder, are often spatially unevenly distributed. A nat…
Deep Bilateral Retinex for Low-Light Image Enhancement
Jinxiu Liang, Yong Xu, Yuhui Quan +3
Low-light images, i.e. the images captured in low-light conditions, suffer from very poor visibility caused by low contrast, color distortion and significant measurement noise. Low…
UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Ye Yuan, Wenhan Yang, Wenqi Ren +3
The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…