1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving
Yibo Liu, Zheyuan Yang, Guile Wu +5
Generating 3D vehicle assets from in-the-wild observations is crucial to autonomous driving. Existing image-to-3D methods cannot well address this problem because they learn genera…
cs.CV2024
VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising
Yuxiang Hui, Yang Liu, Yaofang Liu +4
Video restoration task aims to recover high-quality videos from low-quality observations. This contains various important sub-tasks, such as video denoising, deblurring and low-lig…
cs.CV2023
An Empirical Study of Attention Networks for Semantic Segmentation
Hao Guo, Hongbiao Si, Guilin Jiang +5
Semantic segmentation is a vital problem in computer vision. Recently, a common solution to semantic segmentation is the end-to-end convolution neural network, which is much more a…