Search Results for author: Kui Jiang

Found 29 papers, 14 papers with code

Spatial Annealing Smoothing for Efficient Few-shot Neural Rendering

1 code implementation12 Jun 2024 Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji

In this paper, we introduce an accurate and efficient few-shot neural rendering method named Spatial Annealing smoothing regularized NeRF (SANeRF), which is specifically designed for a pre-filtering-driven hybrid representation architecture.

Neural Rendering

Learning A Spiking Neural Network for Efficient Image Deraining

1 code implementation10 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.

Image Reconstruction Rain Removal

Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution

no code implementations8 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.

Image Super-Resolution

Exploiting Self-Supervised Constraints in Image Super-Resolution

2 code implementations30 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.

Image Super-Resolution Self-Supervised Learning

OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition

1 code implementation CVPR 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.

IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation

no code implementations CVPR 2024 Mengshun Hu, Kui Jiang, Zhihang Zhong, Zheng Wang, Yinqiang Zheng

To this end we propose a novel framework for implicit quadratic video frame interpolation (IQ-VFI) which explores latent acceleration information and accurate intermediate motions via knowledge distillation.

Knowledge Distillation Motion Estimation +1

DGNet: Dynamic Gradient-Guided Network for Water-Related Optics Image Enhancement

no code implementations12 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.

SSIM UIE

Dynamic Association Learning of Self-Attention and Convolution in Image Restoration

no code implementations9 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.

Decoder Image Restoration +1

EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution

1 code implementation30 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.

Image Super-Resolution

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

2 code implementations12 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.

Contrastive Learning Image Dehazing +4

From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement

no code implementations31 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.

Low-Light Image Enhancement Zero-Shot Learning

Fully $1\times1$ Convolutional Network for Lightweight Image Super-Resolution

1 code implementation30 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.

Computational Efficiency Image Super-Resolution

Local-Global Temporal Difference Learning for Satellite Video Super-Resolution

2 code implementations10 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.

Optical Flow Estimation Video Super-Resolution

Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning

1 code implementation28 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.

FAD Video Captioning

Magic ELF: Image Deraining Meets Association Learning and Transformer

1 code implementation21 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.

Rain Removal

You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution

no code implementations13 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.

Video Super-Resolution

Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning

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.

Video Reconstruction Video Super-Resolution

Unpaired Deep Image Deraining Using Dual Contrastive Learning

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.

Contrastive Learning Image Restoration +1

From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution

no code implementations31 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.

Image Super-Resolution

Omniscient Video Super-Resolution

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.

Video Super-Resolution

Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement

1 code implementation19 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.

Low-Light Image Enhancement

When Face Recognition Meets Occlusion: A New Benchmark

1 code implementation4 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.

Face Recognition

Multi-Scale Progressive Fusion Network for Single Image Deraining

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.

Single Image Deraining

Masked Face Recognition Dataset and Application

3 code implementations20 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.

Face Detection Face Recognition

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