Search Results for author: Jun Chen

Found 65 papers, 22 papers with code

Manifold Projection for Adversarial Defense on Face Recognition

no code implementations ECCV 2020 Jianli Zhou, Chao Liang, Jun Chen

We utilize variational autoencoder (VAE) to estimate the lower bound of the log-likelihood of image and explore to project the input images back into the high probability regions of image manifold again.

Adversarial Defense Face Recognition

M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion

no code implementations23 Jan 2023 Yangyi Liu, Stefano Rini, Sadaf Salehkalaibar, Jun Chen

This paper proposes ``\emph{${\bf M}$-magnitude weighted $L_{\bf 2}$ distortion + $\bf 2$ degrees of freedom''} (M22) algorithm, a rate-distortion inspired approach to gradient compression for federated training of deep neural networks (DNNs).

Federated Learning

Progressive with Purpose: Guiding Progressive Inpainting DNNs through Context and Structure

no code implementations21 Sep 2022 Kangdi Shi, Muhammad Alrabeiah, Jun Chen

Stacking GLE modules enables the network to extract image features from different image frequency components.

Image Inpainting

SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud

1 code implementation3 Aug 2022 Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong liu

To repetitively extract them as features and perform association between discrete LiDAR frames for registration, we propose the first learning-based feature segmentation and description model for 3D lines in LiDAR point cloud.

Association Point Cloud Registration

Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction

1 code implementation1 Jun 2022 Jun Chen, Ming Hu, Boyang Li, Mohamed Elhoseiny

After finetuning the pretrained LoMaR on 384$\times$384 images, it can reach 85. 4% top-1 accuracy, surpassing MAE by 0. 6%.

Image Classification Instance Segmentation +3

Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic

no code implementations22 May 2022 Kaixiang Zhang, Kaian Chen, Zhaojian Li, Jun Chen, Yang Zheng

Data-driven predictive control of connected and automated vehicles (CAVs) has received increasing attention as it can achieve safe and optimal control without relying on explicit dynamical models.

Privacy Preserving

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

2 code implementations11 May 2022 Yawei Li, Kai Zhang, Radu Timofte, Luc van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu1, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, YuFei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.

Image Super-Resolution Single Image Super Resolution

FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement

2 code implementations23 Mar 2022 Jun Chen, Zilin Wang, Deyi Tuo, Zhiyong Wu, Shiyin Kang, Helen Meng

Previously proposed FullSubNet has achieved outstanding performance in Deep Noise Suppression (DNS) Challenge and attracted much attention.

Speech Enhancement

A Unified Framework for Campaign Performance Forecasting in Online Display Advertising

no code implementations24 Feb 2022 Jun Chen, Cheng Chen, Huayue Zhang, Qing Tan

Advertisers usually enjoy the flexibility to choose criteria like target audience, geographic area and bid price when planning an campaign for online display advertising, while they lack forecast information on campaign performance to optimize delivery strategies in advance, resulting in a waste of labour and budget for feedback adjustments.

Multi-Task Learning

An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification

no code implementations20 Feb 2022 Jun Chen, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub, Kathiravetpillai Sivanesan, Richard Dorrance, Lily L. Yang

We perform a deep dive into understanding the impact of (i) the input representation/type and (ii) the architectural layer of the neural network.

CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval

no code implementations15 Feb 2022 Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao MJ Wang, Hugo Chen, Tamara L. Berg, Ning Zhang

We introduce CommerceMM - a multimodal model capable of providing a diverse and granular understanding of commerce topics associated to the given piece of content (image, text, image+text), and having the capability to generalize to a wide range of tasks, including Multimodal Categorization, Image-Text Retrieval, Query-to-Product Retrieval, Image-to-Product Retrieval, etc.

Image-text Retrieval Representation Learning +2

Towards Multi-Domain Single Image Dehazing via Test-Time Training

no code implementations CVPR 2022 Huan Liu, Zijun Wu, Liangyan Li, Sadaf Salehkalaibar, Jun Chen, Keyan Wang

Motivated by this observation, we propose a test-time training method which leverages a helper network to assist the dehazing model in better adapting to a domain of interest.

Image Dehazing Meta-Learning +1

Dynamically Stable Poincaré Embeddings for Neural Manifolds

no code implementations21 Dec 2021 Jun Chen, Yuang Liu, Xiangrui Zhao, Mengmeng Wang, Yong liu

As a result, we prove that, if initial metrics have an $L^2$-norm perturbation which deviates from the Hyperbolic metric on the Poincar\'e ball, the scaled Ricci-DeTurck flow of such metrics smoothly and exponentially converges to the Hyperbolic metric.

Image Classification

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

Thoughts on the Consistency between Ricci Flow and Neural Network Behavior

no code implementations16 Nov 2021 Jun Chen, Tianxin Huang, Wenzhou Chen, Yong liu

During the training process of the neural network, we observe that its metric will also regularly converge to the linearly nearly Euclidean metric, which is consistent with the convergent behavior of linearly nearly Euclidean metrics under the Ricci-DeTurck flow.

whu-nercms at trecvid2021:instance search task

no code implementations30 Oct 2021 Yanrui Niu, Jingyao Yang, Ankang Lu, Baojin Huang, Yue Zhang, Ji Huang, Shishi Wen, Dongshu Xu, Chao Liang, Zhongyuan Wang, Jun Chen

We will make a brief introduction of the experimental methods and results of the WHU-NERCMS in the TRECVID2021 in the paper.

Action Detection Face Detection +5

Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network

no code implementations22 Oct 2021 Huan Liu, Junsong Yuan, Chen Wang, Jun Chen

Despite recent improvement of supervised monocular depth estimation, the lack of high quality pixel-wise ground truth annotations has become a major hurdle for further progress.

Knowledge Distillation Monocular Depth Estimation +1

Manifold Micro-Surgery with Linearly Nearly Euclidean Metrics

no code implementations29 Sep 2021 Jun Chen, Tianxin Huang, Wenzhou Chen, Yong liu

The Ricci flow is a method of manifold surgery, which can trim manifolds to more regular.

Riemannian Manifold Embeddings for Straight-Through Estimator

no code implementations29 Sep 2021 Jun Chen, Hanwen Chen, Jiangning Zhang, Yuang Liu, Tianxin Huang, Yong liu

Quantized Neural Networks (QNNs) aim at replacing full-precision weights $\boldsymbol{W}$ with quantized weights $\boldsymbol{\hat{W}}$, which make it possible to deploy large models to mobile and miniaturized devices easily.


Cross-Domain Lossy Compression as Optimal Transport with an Entropy Bottleneck

no code implementations ICLR 2022 Huan Liu, George Zhang, Jun Chen, Ashish J Khisti

We study the problem of cross-domain lossy compression where the reconstruction distribution is different from the source distribution in order to account for distributional shift due to processing.

Denoising Super-Resolution

Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data

1 code implementation17 Sep 2021 Jun Chen, Heye Zhang, Raad Mohiaddin, Tom Wong, David Firmin, Jennifer Keegan, Guang Yang

For the inter-domain learning, a consistency constraint is applied to the LAs modelled by two dual-modelling networks to exploit the complementary knowledge among different data domains.

Left Atrium Segmentation

Universal Rate-Distortion-Perception Representations for Lossy Compression

no code implementations NeurIPS 2021 George Zhang, Jingjing Qian, Jun Chen, Ashish Khisti

In the context of lossy compression, Blau & Michaeli (2019) adopt a mathematical notion of perceptual quality and define the information rate-distortion-perception function, generalizing the classical rate-distortion tradeoff.

Image Compression

JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets

no code implementations1 May 2021 Jun Chen, Guang Yang, Habib Khan, Heye Zhang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David Firmin, Jennifer Keegan

In this paper, we propose an inter-cascade generative adversarial network, namely JAS-GAN, to segment the unbalanced atrial targets from LGE CMR images automatically and accurately in an end-to-end way.

RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition

1 code implementation CVPR 2022 Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny

This paper shows that modeling an effective message-passing flow through an attention mechanism can be critical to tackling the compositionality and long-tail challenges in VRR.

Image Captioning Object Recognition +4

DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing

1 code implementation18 Apr 2021 Minghan Fu, Huan Liu, Yankun Yu, Jun Chen, Keyan Wang

By utilizing wavelet transform in DWT branch, our proposed method can retain more high-frequency knowledge in feature maps.

Bayesian Optimisation for a Biologically Inspired Population Neural Network

no code implementations13 Apr 2021 Mahak Kothari, Swapna Sasi, Jun Chen, Elham Zareian, Basabdatta Sen Bhattacharya

The 8-dimensional optimal hyper-parameter combination should be such that the network dynamics simulate the resting state alpha rhythm (8 - 13 Hz rhythms in brain signals).

Bayesian Optimisation Time Series

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

VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning

1 code implementation CVPR 2022 Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny

To the best of our knowledge, this is the first work that improves data efficiency of image captioning by utilizing LM pretrained on unimodal data.

Image Captioning Language Modelling +2

Indirect Domain Shift for Single Image Dehazing

no code implementations5 Feb 2021 Huan Liu, Jun Chen

Therefore, it is capable of consolidating the expressibility of different architectures, resulting in a more accurate indirect domain shift (IDS) from the hazy images to that of clear images.

Image Dehazing Single Image Dehazing

Edge-Featured Graph Attention Network

no code implementations19 Jan 2021 Jun Chen, Haopeng Chen

In this paper, we present edge-featured graph attention networks, namely EGATs, to extend the use of graph neural networks to those tasks learning on graphs with both node and edge features.

Graph Attention Graph Learning +1

Optimizing Quantized Neural Networks with Natural Gradient

no code implementations1 Jan 2021 Jun Chen, Hanwen Chen, Jiangning Zhang, Wenzhou Chen, Yong liu, Yunliang Jiang

Quantized Neural Networks (QNNs) have achieved an enormous step in improving computational efficiency, making it possible to deploy large models to mobile and miniaturized devices.

APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment

1 code implementation25 Oct 2020 Jiangning Zhang, Xianfang Zeng, Chao Xu, Jun Chen, Yong liu, Yunliang Jiang

Audio-guided face reenactment aims to generate a photorealistic face that has matched facial expression with the input audio.

Face Reenactment

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

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

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.

Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs

no code implementations ACL 2020 Jun Chen, Xiaoya Dai, Quan Yuan, Chao Lu, Haifeng Huang

The automatic text-based diagnosis remains a challenging task for clinical use because it requires appropriate balance between accuracy and interpretability.

A Learning Framework for n-bit Quantized Neural Networks toward FPGAs

1 code implementation6 Apr 2020 Jun Chen, Liang Liu, Yong liu, Xianfang Zeng

Furthermore, we also design a shift vector processing element (SVPE) array to replace all 16-bit multiplications with SHIFT operations in convolution operation on FPGAs.

Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks

no code implementations4 Mar 2020 Jun Chen, Yong liu, Hao Zhang, Shengnan Hou, Jian Yang

Meanwhile, we propose a M-bit Inputs and N-bit Weights Network (MINW-Net) trained by AQE, a quantized neural network with 1-3 bits weights and activations.

Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention

no code implementations2 Feb 2020 Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David Firmin, Jennifer Keegan

Using our MVTT recursive attention model, both the LA anatomy and scar can be segmented accurately (mean Dice score of 93% for the LA anatomy and 87% for the scar segmentations) and efficiently (~0. 27 seconds to simultaneously segment the LA anatomy and scars directly from the 3D LGE CMR dataset with 60-68 2D slices).


Highly fluorescent copper nanoclusters for sensing and bioimaging

no code implementations29 Dec 2019 Yu An, Ying Ren, Jing Tang, Jun Chen, Baisong Chang

Metal nanoclusters (NCs), typically consisting of a few to tens of metal atoms, bridge the gap between organometallic compounds and crystalline metal nanoparticles.

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

Discriminative Consistent Domain Generation for Semi-supervised Learning

no code implementations24 Jul 2019 Jun Chen, Heye Zhang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David Firmin, Guang Yang, Jennifer Keegan

Based on the generated discriminative consistent domain, we can use the unlabeled data to learn the task model along with the labeled data via a consistent image generation.

Anatomy Domain Adaptation +1

A Fast Free-viewpoint Video Synthesis Algorithm for Sports Scenes

no code implementations28 Mar 2019 Jun Chen, Ryosuke Watanabe, Keisuke Nonaka, Tomoaki Konno, Hiroshi Sankoh, Sei Naito

In this paper, we report on a parallel freeviewpoint video synthesis algorithm that can efficiently reconstruct a high-quality 3D scene representation of sports scenes.

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation

no code implementations12 Jun 2018 Jun Chen, Guang Yang, Zhifan Gao, Hao Ni, Elsa Angelini, Raad Mohiaddin, Tom Wong, Yanping Zhang, Xiuquan Du, Heye Zhang, Jennifer Keegan, David Firmin

Late Gadolinium Enhanced Cardiac MRI (LGE-CMRI) for detecting atrial scars in atrial fibrillation (AF) patients has recently emerged as a promising technique to stratify patients, guide ablation therapy and predict treatment success.


Efficient Parallel Connected Components Labeling with a Coarse-to-fine Strategy

no code implementations28 Dec 2017 Jun Chen, Keisuke Nonaka, Ryosuke Watanabe, Hiroshi Sankoh, Houari Sabirin, Sei Naito

This paper proposes a new parallel approach to solve connected components on a 2D binary image implemented with CUDA.

Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects

no code implementations7 Nov 2017 Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Smith, Colin Wilder, Song Wang

Motivated by the important archaeological application of exploring cultural heritage objects, in this paper we study the challenging problem of automatically segmenting curve structures that are very weakly stamped or carved on an object surface in the form of a highly noisy depth map.

Image Segmentation Semantic Segmentation

An Optimized Union-Find Algorithm for Connected Components Labeling Using GPUs

no code implementations28 Aug 2017 Jun Chen, Qiang Yao, Houari Sabirin, Keisuke Nonaka, Hiroshi Sankoh, Sei Naito

In this paper, we report an optimized union-find (UF) algorithm that can label the connected components on a 2D image efficiently by employing the GPU architecture.

A straightforward method to assess motion blur for different types of displays

no code implementations8 Aug 2015 Fuhao Chen, Jun Chen, Feng Huang

A simulation method based on the liquid crystal response and the human visual system is suitable to characterize motion blur for LCDs but not other display types.

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