Dongdong Chen

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Cross-Domain and Disentangled Face Manipulation with 3D Guidance

Face image manipulation via three-dimensional guidance has been widely a...
04/22/2021 ∙ by Can Wang, et al. ∙ 16 ∙ share

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A Simple Baseline for StyleGAN Inversion

This paper studies the problem of StyleGAN inversion, which plays an ess...
04/15/2021 ∙ by Tianyi Wei, et al. ∙ 34 ∙ share

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Equivariant Imaging: Learning Beyond the Range Space

In various imaging problems, we only have access to compressed measureme...
03/26/2021 ∙ by Dongdong Chen, et al. ∙ 10 ∙ share

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High-Fidelity Pluralistic Image Completion with Transformers

Image completion has made tremendous progress with convolutional neural ...
03/25/2021 ∙ by Ziyu Wan, et al. ∙ 3 ∙ share

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Revisiting Dynamic Convolution via Matrix Decomposition

Recent research in dynamic convolution shows substantial performance boo...
03/15/2021 ∙ by Yunsheng Li, et al. ∙ 18 ∙ share

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Diverse Semantic Image Synthesis via Probability Distribution Modeling

Semantic image synthesis, translating semantic layouts to photo-realisti...
03/11/2021 ∙ by Zhentao Tan, et al. ∙ 8 ∙ share

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Deep Model Intellectual Property Protection via Deep Watermarking

Despite the tremendous success, deep neural networks are exposed to seri...
03/08/2021 ∙ by Jie Zhang, et al. ∙ 6 ∙ share

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Multi-attentional Deepfake Detection

Face forgery by deepfake is widely spread over the internet and has rais...
03/03/2021 ∙ by Hanqing Zhao, et al. ∙ 10 ∙ share

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Weak NAS Predictors Are All You Need

Neural Architecture Search (NAS) finds the best network architecture by ...
02/21/2021 ∙ by Junru Wu, et al. ∙ 9 ∙ share

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Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud

Point cloud upsampling is vital for the quality of the mesh in three-dim...
02/08/2021 ∙ by Shuquan Ye, et al. ∙ 0 ∙ share

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COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography

Computer-aided breast cancer diagnosis in mammography is a challenging p...
12/29/2020 ∙ by Heyi Li, et al. ∙ 22 ∙ share

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Improved Image Matting via Real-time User Clicks and Uncertainty Estimation

Image matting is a fundamental and challenging problem in computer visio...
12/15/2020 ∙ by Tianyi Wei, et al. ∙ 11 ∙ share

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Are Fewer Labels Possible for Few-shot Learning?

Few-shot learning is challenging due to its very limited data and labels...
12/10/2020 ∙ by Suichan Li, et al. ∙ 12 ∙ share

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Efficient Semantic Image Synthesis via Class-Adaptive Normalization

Spatially-adaptive normalization (SPADE) is remarkably successful recent...
12/08/2020 ∙ by Zhentao Tan, et al. ∙ 5 ∙ share

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Identity-Driven DeepFake Detection

DeepFake detection has so far been dominated by “artifact-driven” method...
12/07/2020 ∙ by Xiaoyi Dong, et al. ∙ 9 ∙ share

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Unsupervised Pre-training for Person Re-identification

In this paper, we present a large scale unlabeled person re-identificati...
12/07/2020 ∙ by Dengpan Fu, et al. ∙ 5 ∙ share

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MicroNet: Towards Image Recognition with Extremely Low FLOPs

In this paper, we present MicroNet, which is an efficient convolutional ...
11/24/2020 ∙ by Yunsheng Li, et al. ∙ 5 ∙ share

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LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks

Deep neural networks have made tremendous progress in 3D point-cloud rec...
11/01/2020 ∙ by Hang Zhou, et al. ∙ 9 ∙ share

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MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing

Despite the recent success of face image generation with GANs, condition...
10/30/2020 ∙ by Zhentao Tan, et al. ∙ 8 ∙ share

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Passport-aware Normalization for Deep Model Protection

Despite tremendous success in many application scenarios, deep learning ...
10/29/2020 ∙ by Jie Zhang, et al. ∙ 0 ∙ share

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GreedyFool: Distortion-Aware Sparse Adversarial Attack

Modern deep neural networks(DNNs) are vulnerable to adversarial samples....
10/26/2020 ∙ by Xiaoyi Dong, et al. ∙ 0 ∙ share

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Improving Person Re-identification with Iterative Impression Aggregation

Our impression about one person often updates after we see more aspects ...
09/21/2020 ∙ by Dengpan Fu, et al. ∙ 0 ∙ share

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Old Photo Restoration via Deep Latent Space Translation

We propose to restore old photos that suffer from severe degradation thr...
09/14/2020 ∙ by Ziyu Wan, et al. ∙ 55 ∙ share

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Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography

Deep convolutional neural networks (CNNs) have emerged as a new paradigm...
08/07/2020 ∙ by Heyi Li, et al. ∙ 0 ∙ share

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Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations

Consistency of the predictions with respect to the physical forward mode...
06/27/2020 ∙ by Dongdong Chen, et al. ∙ 39 ∙ share

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Bringing Old Photos Back to Life

We propose to restore old photos that suffer from severe degradation thr...
04/20/2020 ∙ by Ziyu Wan, et al. ∙ 23 ∙ share

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Rethinking Spatially-Adaptive Normalization

Spatially-adaptive normalization is remarkably successful recently in co...
04/06/2020 ∙ by Zhentao Tan, et al. ∙ 0 ∙ share

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Density-Aware Graph for Deep Semi-Supervised Visual Recognition

Semi-supervised learning (SSL) has been extensively studied to improve t...
03/30/2020 ∙ by Suichan Li, et al. ∙ 12 ∙ share

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DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search

Efficient search is a core issue in Neural Architecture Search (NAS). It...
03/27/2020 ∙ by Xiyang Dai, et al. ∙ 0 ∙ share

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Dynamic ReLU

Rectified linear units (ReLU) are commonly used in deep neural networks....
03/22/2020 ∙ by Yinpeng Chen, et al. ∙ 0 ∙ share

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Model Watermarking for Image Processing Networks

Deep learning has achieved tremendous success in numerous industrial app...
02/25/2020 ∙ by Jie Zhang, et al. ∙ 14 ∙ share

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Deep Reflection Prior

Reflections are very common phenomena in our daily photography, which di...
12/08/2019 ∙ by Qingnan Fan, et al. ∙ 17 ∙ share

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Dynamic Convolution: Attention over Convolution Kernels

Light-weight convolutional neural networks (CNNs) suffer performance deg...
12/07/2019 ∙ by Yinpeng Chen, et al. ∙ 1 ∙ share

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Deep Decomposition Learning for Inverse Imaging Problems

Deep learning is emerging as a new paradigm for solving inverse imaging ...
11/25/2019 ∙ by Dongdong Chen, et al. ∙ 0 ∙ share

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Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once

Modern deep neural networks are often vulnerable to adversarial samples....
08/14/2019 ∙ by Jiangfan Han, et al. ∙ 9 ∙ share

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A General Decoupled Learning Framework for Parameterized Image Operators

Many different deep networks have been used to approximate, accelerate o...
07/11/2019 ∙ by Qingnan Fan, et al. ∙ 1 ∙ share

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Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis

Computer-aided breast cancer diagnosis in mammography is limited by inad...
06/30/2019 ∙ by Heyi Li, et al. ∙ 0 ∙ share

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Inferring the Importance of Product Appearance: A Step Towards the Screenless Revolution

Nowadays, almost all the online orders were placed through screened devi...
05/01/2019 ∙ by Yongshun Gong, et al. ∙ 0 ∙ share

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A Deep DUAL-PATH Network for Improved Mammogram Image Processing

We present, for the first time, a novel deep neural network architecture...
03/01/2019 ∙ by Heyi Li, et al. ∙ 0 ∙ share

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Transductive Zero-Shot Learning with Visual Structure Constraint

Zero-shot Learning (ZSL) aims to recognize objects of the unseen classes...
01/06/2019 ∙ by Ziyu Wan, et al. ∙ 0 ∙ share

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Gated Context Aggregation Network for Image Dehazing and Deraining

Image dehazing aims to recover the uncorrupted content from a hazy image...
11/21/2018 ∙ by Dongdong Chen, et al. ∙ 16 ∙ share

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Emerging Applications of Reversible Data Hiding

Reversible data hiding (RDH) is one special type of information hiding, ...
11/07/2018 ∙ by Dongdong Hou, et al. ∙ 0 ∙ share

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A deep learning approach for Magnetic Resonance Fingerprinting

Current popular methods for Magnetic Resonance Fingerprint (MRF) recover...
09/05/2018 ∙ by Mohammad Golbabaee, et al. ∙ 0 ∙ share

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Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine

We investigate the potential of a restricted Boltzmann Machine (RBM) for...
08/28/2018 ∙ by Dongdong Chen, et al. ∙ 0 ∙ share

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Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net

We explore the use of deep learning for breast mass segmentation in mamm...
08/27/2018 ∙ by Heyi Li, et al. ∙ 0 ∙ share

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Decouple Learning for Parameterized Image Operators

Many different deep networks have been used to approximate, accelerate o...
07/21/2018 ∙ by Qingnan Fan, et al. ∙ 0 ∙ share

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Deep Exemplar-based Colorization

We propose the first deep learning approach for exemplar-based local col...
07/17/2018 ∙ by Mingming He, et al. ∙ 2 ∙ share

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Stereoscopic Neural Style Transfer

This paper presents the first attempt at stereoscopic neural style trans...
02/28/2018 ∙ by Dongdong Chen, et al. ∙ 0 ∙ share

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Coherent Online Video Style Transfer

Training a feed-forward network for fast neural style transfer of images...
03/27/2017 ∙ by Dongdong Chen, et al. ∙ 0 ∙ share

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StyleBank: An Explicit Representation for Neural Image Style Transfer

We propose StyleBank, which is composed of multiple convolution filter b...
03/27/2017 ∙ by Dongdong Chen, et al. ∙ 0 ∙ share

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Dongdong Chen

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