1 code implementation • 10 May 2024 • Tianyu Song, Guiyue Jin, Pengpeng Li, Kui Jiang, Xiang Chen, JIYU JIN
Our work is motivated by the observation that rain pixel values will lead to a more pronounced intensity of spike signals in SNNs.
no code implementations • 8 May 2024 • Yi Xiao, Qiangqiang Yuan, Kui Jiang, Yuzeng Chen, Qiang Zhang, Chia-Wen Lin
To alleviate these issues, we develop the first attempt to integrate the Vision State Space Model (Mamba) for RSI-SR, which specializes in processing large-scale RSI by capturing long-range dependency with linear complexity.
no code implementations • 25 Apr 2024 • Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, Guangyuan Zhou, Zhengxin Li, Qiang Rao, Yiping Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder
This paper discusses the results of the third edition of the Monocular Depth Estimation Challenge (MDEC).
no code implementations • 1 Apr 2024 • Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji
Neural Radiance Field (NeRF) technology has made significant strides in creating novel viewpoints.
2 code implementations • 30 Mar 2024 • Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
Recent advances in self-supervised learning, predominantly studied in high-level visual tasks, have been explored in low-level image processing.
no code implementations • 9 Mar 2024 • Tingting Zheng, Kui Jiang, Hongxun Yao
It involves instance sampling, feature representation, and decision-making.
1 code implementation • 29 Feb 2024 • Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu
Depression Recognition (DR) poses a considerable challenge, especially in the context of the growing concerns surrounding privacy.
no code implementations • 19 Feb 2024 • Jialei Xu, Xianming Liu, Junjun Jiang, Kui Jiang, Rui Li, Kai Cheng, Xiangyang Ji
Monocular depth estimation from RGB images plays a pivotal role in 3D vision.
no code implementations • 12 Dec 2023 • Jingchun Zhou, Zongxin He, Qiuping Jiang, Kui Jiang, Xianping Fu, Xuelong Li
To solve this issue, previous methods often idealize the degradation process, and neglect the impact of medium noise and object motion on the distribution of image features, limiting the generalization and adaptability of the model.
no code implementations • 9 Nov 2023 • Kui Jiang, Xuemei Jia, Wenxin Huang, Wenbin Wang, Zheng Wang, Junjun Jiang
Thus, we propose to refine background textures with the predicted degradation prior in an association learning manner.
1 code implementation • 30 Oct 2023 • Yi Xiao, Qiangqiang Yuan, Kui Jiang, Jiang He, Xianyu Jin, Liangpei Zhang
Recently, convolutional networks have achieved remarkable development in remote sensing image Super-Resoltuion (SR) by minimizing the regression objectives, e. g., MSE loss.
2 code implementations • 12 Sep 2023 • Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
Our approach, named Model Contrastive Learning for Image Restoration (MCLIR), rejuvenates latency models as negative models, making it compatible with diverse image restoration tasks.
Ranked #10 on Image Super-Resolution on Manga109 - 4x upscaling
no code implementations • 31 Jul 2023 • Wanyu Wu, Wei Wang, Zheng Wang, Kui Jiang, Xin Xu
Most existing Low-Light Image Enhancement (LLIE) methods are primarily designed to improve brightness in dark regions, which suffer from severe degradation in nighttime images.
1 code implementation • 30 Jul 2023 • Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
By incorporating a parameter-free spatial-shift operation, it equips the fully $1\times1$ convolutional network with powerful representation capability while impressive computational efficiency.
2 code implementations • 10 Apr 2023 • Yi Xiao, Qiangqiang Yuan, Kui Jiang, Xianyu Jin, Jiang He, Liangpei Zhang, Chia-Wen Lin
To explore the global dependency in the entire frame sequence, a Long-term Temporal Difference Module (L-TDM) is proposed, where the differences between forward and backward segments are incorporated and activated to guide the modulation of the temporal feature, leading to a holistic global compensation.
1 code implementation • 28 Nov 2022 • Xian Zhong, Zipeng Li, Shuqin Chen, Kui Jiang, Chen Chen, Mang Ye
In this paper, we introduce a novel Refined Semantic enhancement method towards Frequency Diffusion (RSFD), a captioning model that constantly perceives the linguistic representation of the infrequent tokens.
1 code implementation • 21 Jul 2022 • Kui Jiang, Zhongyuan Wang, Chen Chen, Zheng Wang, Laizhong Cui, Chia-Wen Lin
Convolutional neural network (CNN) and Transformer have achieved great success in multimedia applications.
no code implementations • 13 Jul 2022 • Mengshun Hu, Kui Jiang, Zhixiang Nie, Zheng Wang
Spatial-Temporal Video Super-Resolution (ST-VSR) technology generates high-quality videos with higher resolution and higher frame rates.
no code implementations • CVPR 2022 • Mengshun Hu, Kui Jiang, Liang Liao, Jing Xiao, Junjun Jiang, Zheng Wang
Specifically, we propose to exploit the mutual information among them via iterative up-and-down projections, where the spatial and temporal features are fully fused and distilled, helping the high-quality video reconstruction.
no code implementations • CVPR 2022 • Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Li, Yufeng Huang, Caihua Kong, Longgang Dai, Zhentao Fan
Learning single image deraining (SID) networks from an unpaired set of clean and rainy images is practical and valuable as acquiring paired real-world data is almost infeasible.
no code implementations • 31 Aug 2021 • Junjun Jiang, Chenyang Wang, Xianming Liu, Kui Jiang, Jiayi Ma
By this spectral splitting and aggregation strategy (SSAS), we can divide the original hyperspectral image into multiple samples (\emph{from less to more}) to support the efficient training of the network and effectively exploit the spectral correlations among spectrum.
no code implementations • ICCV 2021 • Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, Jiayi Ma
Most recent video super-resolution (SR) methods either adopt an iterative manner to deal with low-resolution (LR) frames from a temporally sliding window, or leverage the previously estimated SR output to help reconstruct the current frame recurrently.
1 code implementation • 19 Mar 2021 • Kui Jiang, Zhongyuan Wang, Zheng Wang, Chen Chen, Peng Yi, Tao Lu, Chia-Wen Lin
Different from existing methods tending to accomplish the relighting task directly by ignoring the fidelity and naturalness recovery, we investigate the intrinsic degradation and relight the low-light image while refining the details and color in two steps.
1 code implementation • 4 Mar 2021 • Baojin Huang, Zhongyuan Wang, Guangcheng Wang, Kui Jiang, Kangli Zeng, Zhen Han, Xin Tian, Yuhong Yang
In particular, we first collect a variety of glasses and masks as occlusion, and randomly combine the occlusion attributes (occlusion objects, textures, and colors) to achieve a large number of more realistic occlusion types.
3 code implementations • CVPR 2020 • Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang
In this work, we explore the multi-scale collaborative representation for rain streaks from the perspective of input image scales and hierarchical deep features in a unified framework, termed multi-scale progressive fusion network (MSPFN) for single image rain streak removal.
Ranked #6 on Single Image Deraining on Test2800
4 code implementations • 20 Mar 2020 • Zhongyuan Wang, Guangcheng Wang, Baojin Huang, Zhangyang Xiong, Qi Hong, Hao Wu, Peng Yi, Kui Jiang, Nanxi Wang, Yingjiao Pei, Heling Chen, Yu Miao, Zhibing Huang, Jinbi Liang
These datasets are freely available to industry and academia, based on which various applications on masked faces can be developed.