Lei Zhang

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks

The success of deep learning has been widely recognized in many machine ...
02/27/2020 ∙ by Zhiqian Chen, et al. ∙ 125 ∙ share

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Conditionally Learn to Pay Attention for Sequential Visual Task

Sequential visual task usually requires to pay attention to its current ...
11/11/2019 ∙ by Jun He, et al. ∙ 58 ∙ share

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A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images

Arterial spin labeling (ASL) perfusion MRI provides a non-invasive way t...
05/15/2020 ∙ by Danfeng Xie, et al. ∙ 37 ∙ share

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Transfer Adaptation Learning: A Decade Survey

The world we see is ever-changing and it always changes with people, thi...
03/12/2019 ∙ by Lei Zhang, et al. ∙ 28 ∙ share

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Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

In many practical transfer learning scenarios, the feature distribution ...
03/25/2019 ∙ by Lei Zhang, et al. ∙ 22 ∙ share

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Unified Vision-Language Pre-Training for Image Captioning and VQA

This paper presents a unified Vision-Language Pre-training (VLP) model. ...
09/24/2019 ∙ by Luowei Zhou, et al. ∙ 17 ∙ share

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Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding

Video rain/snow removal from surveillance videos is an important task in...
09/13/2019 ∙ by Minghan Li, et al. ∙ 16 ∙ share

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Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice

In this paper, we study the formalism of unsupervised multi-class domain...
02/20/2020 ∙ by Yabin Zhang, et al. ∙ 15 ∙ share

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AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results

This paper reviews the AIM 2019 challenge on constrained example-based s...
11/04/2019 ∙ by Kai Zhang, et al. ∙ 12 ∙ share

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Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)

Steady-state visual evoked potentials (SSVEP) brain-computer interface (...
02/04/2020 ∙ by Aung Aung Phyo Wai, et al. ∙ 11 ∙ share

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High Frequency Residual Learning for Multi-Scale Image Classification

We present a novel high frequency residual learning framework, which lea...
05/07/2019 ∙ by Bowen Cheng, et al. ∙ 10 ∙ share

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Variational Denoising Network: Toward Blind Noise Modeling and Removal

Blind image denoising is an important yet very challenging problem in co...
08/29/2019 ∙ by Zongsheng Yue, et al. ∙ 10 ∙ share

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Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation

In this paper, we are interested in bottom-up multi-person human pose es...
08/27/2019 ∙ by Bowen Cheng, et al. ∙ 9 ∙ share

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Solving Rubik's Cube with a Robot Hand

We demonstrate that models trained only in simulation can be used to sol...
10/16/2019 ∙ by OpenAI, et al. ∙ 9 ∙ share

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Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation

Most recent semi-supervised video object segmentation (VOS) methods rely...
02/17/2020 ∙ by Yingjie Yin, et al. ∙ 9 ∙ share

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Simplex Representation for Subspace Clustering

Spectral clustering based methods have achieved leading performance on s...
07/26/2018 ∙ by Jun Xu, et al. ∙ 8 ∙ share

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Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement

Enhancing visual qualities of images plays very important roles in vario...
10/09/2018 ∙ by Risheng Liu, et al. ∙ 8 ∙ share

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Learning Symmetry Consistent Deep CNNs for Face Completion

Deep convolutional networks (CNNs) have achieved great success in face c...
12/19/2018 ∙ by Xiaoming Li, et al. ∙ 8 ∙ share

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Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Large-scale pre-training methods of learning cross-modal representations...
04/13/2020 ∙ by Xiujun Li, et al. ∙ 7 ∙ share

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Automatic individual pig detection and tracking in surveillance videos

Individual pig detection and tracking is an important requirement in man...
12/12/2018 ∙ by Lei Zhang, et al. ∙ 6 ∙ share

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Object-driven Text-to-Image Synthesis via Adversarial Training

In this paper, we propose Object-driven Attentive Generative Adversarial...
02/27/2019 ∙ by Wenbo Li, et al. ∙ 6 ∙ share

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Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution

Spectral super-resolution (SSR) aims at generating a hyperspectral image...
03/24/2019 ∙ by Lei Zhang, et al. ∙ 6 ∙ share

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Continual Local Replacement for Few-shot Image Recognition

The goal of few-shot learning is to learn a model that can recognize nov...
01/23/2020 ∙ by Canyu Le, et al. ∙ 6 ∙ share

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Research on the pixel-based and object-oriented methods of urban feature extraction with GF-2 remote-sensing images

During the rapid urbanization construction of China, acquisition of urba...
03/08/2019 ∙ by Dong-dong Zhang, et al. ∙ 6 ∙ share

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CameraNet: A Two-Stage Framework for Effective Camera ISP Learning

Traditional image signal processing (ISP) pipeline consists of a set of ...
08/05/2019 ∙ by Zhetong Liang, et al. ∙ 5 ∙ share

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Grid Anchor based Image Cropping: A New Benchmark and An Efficient Model

Image cropping aims to improve the composition as well as aesthetic qual...
09/18/2019 ∙ by Hui Zeng, et al. ∙ 5 ∙ share

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Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network

Deep neural networks have achieved remarkable success in single image su...
06/05/2018 ∙ by Lei Zhang, et al. ∙ 4 ∙ share

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Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

Pavement crack detection is a critical task for insuring road safety. Ma...
01/18/2019 ∙ by Fan Yang, et al. ∙ 4 ∙ share

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S&CNet: A Enhanced Coarse-to-fine Framework For Monocular Depth Completion

Real-time depth completing is a critical problem for robotics and autono...
07/13/2019 ∙ by Lei Zhang, et al. ∙ 4 ∙ share

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Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network

With the popularity and development of the wearable devices such as smar...
04/13/2020 ∙ by Kun Wang, et al. ∙ 4 ∙ share

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Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition

Image recognition is an important topic in computer vision and image pro...
08/11/2019 ∙ by Haoqian Wang, et al. ∙ 3 ∙ share

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Simultaneous Fidelity and Regularization Learning for Image Restoration

Most existing non-blind restoration methods are based on the assumption ...
04/12/2018 ∙ by Dongwei Ren, et al. ∙ 2 ∙ share

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View Confusion Feature Learning for Person Re-identification

Person re-identification is an important task in video surveillance that...
10/09/2019 ∙ by Fangyi Liu, et al. ∙ 2 ∙ share

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Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem

With the emergence of diverse data collection techniques, objects in rea...
07/27/2019 ∙ by Yi Zhang, et al. ∙ 1 ∙ share

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Hashing-based Non-Maximum Suppression for Crowded Object Detection

In this paper, we propose an algorithm, named hashing-based non-maximum ...
05/22/2020 ∙ by Jianfeng Wang, et al. ∙ 1 ∙ share

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CatGAN: Coupled Adversarial Transfer for Domain Generation

This paper introduces a Coupled adversarial transfer GAN (CatGAN), an ef...
11/24/2017 ∙ by Shanshan Wang, et al. ∙ 0 ∙ share

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A novel total variation model based on kernel functions and its application

The total variation (TV) model and its related variants have already bee...
11/19/2017 ∙ by Zhizheng Liang, et al. ∙ 0 ∙ share

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Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond

Single image dehazing is an important low-level vision task with many ap...
11/18/2017 ∙ by Risheng Liu, et al. ∙ 0 ∙ share

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FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising

Due to the fast inference and good performance, discriminative learning ...
10/11/2017 ∙ by Kai Zhang, et al. ∙ 0 ∙ share

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A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction

Blind image quality assessment (BIQA) remains a very challenging problem...
08/28/2017 ∙ by Hui Zeng, et al. ∙ 0 ∙ share

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Beyond Low Rank: A Data-Adaptive Tensor Completion Method

Low rank tensor representation underpins much of recent progress in tens...
08/03/2017 ∙ by Lei Zhang, et al. ∙ 0 ∙ share

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Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Top-down visual attention mechanisms have been used extensively in image...
07/25/2017 ∙ by Peter Anderson, et al. ∙ 0 ∙ share

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When Unsupervised Domain Adaptation Meets Tensor Representations

Domain adaption (DA) allows machine learning methods trained on data sam...
07/19/2017 ∙ by Hao Lu, et al. ∙ 0 ∙ share

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One-shot Face Recognition by Promoting Underrepresented Classes

We study in this paper the problem of one-shot face recognition, with th...
07/18/2017 ∙ by Yandong Guo, et al. ∙ 0 ∙ share

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Robust Online Matrix Factorization for Dynamic Background Subtraction

We propose an effective online background subtraction method, which can ...
05/28/2017 ∙ by Hongwei Yong, et al. ∙ 0 ∙ share

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Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising

Most of the existing denoising algorithms are developed for grayscale im...
05/28/2017 ∙ by Jun Xu, et al. ∙ 0 ∙ share

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External Prior Guided Internal Prior Learning for Real Noisy Image Denoising

Most of existing image denoising methods learn image priors from either ...
05/12/2017 ∙ by Jun Xu, et al. ∙ 0 ∙ share

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Learning Deep CNN Denoiser Prior for Image Restoration

Model-based optimization methods and discriminative learning methods hav...
04/11/2017 ∙ by Kai Zhang, et al. ∙ 0 ∙ share

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PatternNet: Visual Pattern Mining with Deep Neural Network

Visual patterns represent the discernible regularity in the visual world...
03/18/2017 ∙ by Hongzhi Li, et al. ∙ 0 ∙ share

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CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise

In this paper, we study the problem of learning image classification mod...
11/20/2017 ∙ by Kuang-Huei Lee, et al. ∙ 0 ∙ share

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Lei Zhang

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