1 code implementation • 16 Apr 2024 • Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu, Changwen Zheng, Fuchun Sun, Hui Xiong
Motivated by these findings, we introduce two new PEs: Temporal Position Encoding (T-PE) for temporal tokens and Variable Positional Encoding (V-PE) for variable tokens.
no code implementations • 20 Mar 2024 • Quan Zheng, Hao Sun, Huiyao Xu, Fanjiang Xu
Unfortunately, synthesizing novel views remains to be a challenge for input views with heterogeneous brightness level captured under low-light condition.
1 code implementation • 18 Mar 2024 • Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Jianwei Niu
To fill this gap, we construct the Synthetic Underwater Video Enhancement (SUVE) dataset, comprising 840 diverse underwater-style videos paired with ground-truth reference videos.
no code implementations • 2 Mar 2024 • Zhiyuan Chang, Mingyang Li, Junjie Wang, Cheng Li, Boyu Wu, Fanjiang Xu, Qing Wang
To this end, we propose PEELING, a text perturbation approach via image-aware property reduction for adversarial testing of the VG model.
1 code implementation • 16 Dec 2023 • Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu
To this end, with the purpose of exploring the intrinsic rationale of graphs, we accordingly propose to capture the dimensional rationale from graphs, which has not received sufficient attention in the literature.
no code implementations • 11 Dec 2023 • Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Jianwei Niu, Fuchun Sun
To address this issue, we propose UIE with Diffusion Prior (UIEDP), a novel framework treating UIE as a posterior distribution sampling process of clear images conditioned on degraded underwater inputs.
no code implementations • 28 Jun 2023 • Lingyu Si, Hongwei Dong, Wenwen Qiang, Junzhi Yu, Wenlong Zhai, Changwen Zheng, Fanjiang Xu, Fuchun Sun
To address this issue, in this paper, we discover the correlation between feature discriminability and dimensional structure (DS) by analyzing and observing features extracted from simple and hard tasks.
no code implementations • 10 Feb 2023 • Bingnan Wang, Fanjiang Xu, Quan Zheng
The purpose of facial image deblurring is to recover a clear image from a blurry input image, which can improve the recognition accuracy, etc.
1 code implementation • 22 Dec 2022 • Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Fuchun Sun
Most existing methods generate pseudo-labels for all frames in each video to train the segmentation model.