Search Results for author: Xiaohong Liu

Found 18 papers, 11 papers with code

Self adaptive global-local feature enhancement for radiology report generation

no code implementations21 Nov 2022 Yuhao Wang, Kai Wang, Xiaohong Liu, Tianrun Gao, Jingyue Zhang, Guangyu Wang

Automated radiology report generation aims at automatically generating a detailed description of medical images, which can greatly alleviate the workload of radiologists and provide better medical services to remote areas.


Pay Self-Attention to Audio-Visual Navigation

no code implementations4 Oct 2022 Yinfeng Yu, Lele Cao, Fuchun Sun, Xiaohong Liu, Liejun Wang

Audio-visual embodied navigation, as a hot research topic, aims training a robot to reach an audio target using egocentric visual (from the sensors mounted on the robot) and audio (emitted from the target) input.

Visual Navigation

Sound Adversarial Audio-Visual Navigation

1 code implementation ICLR 2022 Yinfeng Yu, Wenbing Huang, Fuchun Sun, Changan Chen, Yikai Wang, Xiaohong Liu

In this work, we design an acoustically complex environment in which, besides the target sound, there exists a sound attacker playing a zero-sum game with the agent.

Navigate Visual Navigation

Video Frame Interpolation Transformer

1 code implementation CVPR 2022 Zhihao Shi, Xiangyu Xu, Xiaohong Liu, Jun Chen, Ming-Hsuan Yang

Existing methods for video interpolation heavily rely on deep convolution neural networks, and thus suffer from their intrinsic limitations, such as content-agnostic kernel weights and restricted receptive field.

Video Frame Interpolation

Towards a Unified Approach to Single Image Deraining and Dehazing

no code implementations26 Mar 2021 Xiaohong Liu, Yongrui Ma, Zhihao Shi, Linhui Dai, Jun Chen

We develop a new physical model for the rain effect and show that the well-known atmosphere scattering model (ASM) for the haze effect naturally emerges as its homogeneous continuous limit.

Single Image Deraining

GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing

no code implementations25 Mar 2021 Xiaohong Liu, Zhihao Shi, Zijun Wu, Jun Chen

We also propose a novel intra-task knowledge transfer mechanism that can memorize and take advantage of synthetic domain knowledge to assist the learning process on the translated data.

Dimensionality Reduction Image Dehazing +2

PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization

1 code implementation19 Mar 2021 Xiaohong Liu, Yaojie Liu, Jun Chen, Xiaoming Liu

To defend against manipulation of image content, such as splicing, copy-move, and removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to detect and localize image manipulations.

Image Manipulation Image Manipulation Detection

Learning for Unconstrained Space-Time Video Super-Resolution

no code implementations25 Feb 2021 Zhihao Shi, Xiaohong Liu, Chengqi Li, Linhui Dai, Jun Chen, Timothy N. Davidson, Jiying Zhao

Recent years have seen considerable research activities devoted to video enhancement that simultaneously increases temporal frame rate and spatial resolution.

Optical Flow Estimation Space-time Video Super-resolution +2

Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference

1 code implementation24 Aug 2020 Xiaohong Liu, Kangdi Shi, Zhe Wang, Jun Chen

Extensive experiments demonstrate that owing to the informativeness of the camera raw data, the effectiveness of the network architecture, and the separation of super-resolution and color correction processes, the proposed method achieves superior VSR results compared to the state-of-the-art and can be adapted to any specific camera-ISP.

Informativeness Video Super-Resolution

Video Frame Interpolation via Generalized Deformable Convolution

1 code implementation24 Aug 2020 Zhihao Shi, Xiaohong Liu, Kangdi Shi, Linhui Dai, Jun Chen

Video frame interpolation aims at synthesizing intermediate frames from nearby source frames while maintaining spatial and temporal consistencies.

Video Frame Interpolation

AWNet: Attentive Wavelet Network for Image ISP

1 code implementation20 Aug 2020 Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen

In this paper, we introduce a novel network that utilizes the attention mechanism and wavelet transform, dubbed AWNet, to tackle this learnable image ISP problem.

TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

1 code implementation Bioinformatics 2020 Lifan Chen, Xiaoqin Tan, Dingyan Wang, Feisheng Zhong, Xiaohong Liu, Tianbiao Yang, Xiaomin Luo, Kaixian Chen, Hualiang Jiang, Mingyue Zheng

Motivation Identifying compound–protein interaction (CPI) is a crucial task in drug discovery and chemogenomics studies, and proteins without three-dimensional structure account for a large part of potential biological targets, which requires developing methods using only protein sequence information to predict CPI.

Drug Discovery

GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing

1 code implementation ICCV 2019 Xiaohong Liu, Yongrui Ma, Zhihao Shi, Jun Chen

The proposed hazing method does not rely on the atmosphere scattering model, and we provide an explanation as to why it is not necessarily beneficial to take advantage of the dimension reduction offered by the atmosphere scattering model for image dehazing, even if only the dehazing results on synthetic images are concerned.

Dimensionality Reduction Image Dehazing +2

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