Search Results for author: Jun Chen

Found 45 papers, 16 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

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

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 implementations18 Jun 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: Balancing the Visual Relationship Detection from Local Context, Scene and Memory

1 code implementation24 Apr 2021 Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny

The key feature of our model is its ability to aggregate three different-level features (local context, scene, and dataset-level) to compositionally predict the visual relationship.

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

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

no code implementations19 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 implementation20 Feb 2021 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 +1

Indirect Domain Shift for Single Image Dehazing

no code implementations5 Feb 2021 Huan Liu, Chen Wang, 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

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.

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.

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.

Domain Adaptation Image Generation

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.

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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