activity
20142023
most citedOn Efficient Transformer-Based Image Pre-training for Low-Level Vision

26 citations · 91 across the 17 of their papers we have counts for

collaborators

7 papers

cs.CV20221 cited

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

Xin Lai, Zhuotao Tian, Xiaogang Xu +5

Unsupervised domain adaptation in semantic segmentation has been raised to alleviate the reliance on expensive pixel-wise annotations. It leverages a labeled source domain dataset…

cs.CV20221 cited

Tracking Objects as Pixel-wise Distributions

Zelin Zhao, Ze Wu, Yueqing Zhuang +2

Multi-object tracking (MOT) requires detecting and associating objects through frames. Unlike tracking via detected bounding boxes or tracking objects as points, we propose trackin…

cs.CV20226 cited

End-to-end View Synthesis via NeRF Attention

Zelin Zhao, Jiaya Jia

In this paper, we present a simple seq2seq formulation for view synthesis where we take a set of ray points as input and output colors corresponding to the rays. Directly applying…

cs.CV20221 cited

Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution

Xiaogang Xu, Ruixing Wang, Chi-Wing Fu +1

Despite the quality improvement brought by the recent methods, video super-resolution (SR) is still very challenging, especially for videos that are low-light and noisy. The curren…

cs.CV2022

Towards Real-World Video Denosing: A Practical Video Denosing Dataset and Network

Xiaogang Xu, Yitong Yu, Nianjuan Jiang +3

To facilitate video denoising research, we construct a compelling dataset, namely, "Practical Video Denoising Dataset" (PVDD), containing 200 noisy-clean dynamic video pairs in bot…

cs.CV202126 cited

On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Wenbo Li, Xin Lu, Shengju Qian +3

Pre-training has marked numerous state of the arts in high-level computer vision, while few attempts have ever been made to investigate how pre-training acts in image processing sy…