Search Results for author: Dong Chen

Found 58 papers, 28 papers with code

General Facial Representation Learning in a Visual-Linguistic Manner

no code implementations6 Dec 2021 Yinglin Zheng, Hao Yang, Ting Zhang, Jianmin Bao, Dongdong Chen, Yangyu Huang, Lu Yuan, Dong Chen, Ming Zeng, Fang Wen

In this paper, we study the transfer performance of pre-trained models on face analysis tasks and introduce a framework, called FaRL, for general Facial Representation Learning in a visual-linguistic manner.

 Ranked #1 on Face Parsing on CelebAMask-HQ (using extra training data)

Face Alignment Face Parsing +1

Vector Quantized Diffusion Model for Text-to-Image Synthesis

no code implementations29 Nov 2021 Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo

Our experiments indicate that the VQ-Diffusion model with the reparameterization is fifteen times faster than traditional AR methods while achieving a better image quality.

 Ranked #1 on Text-to-Image Generation on CUB (FID metric)

Denoising Text-to-Image Generation

Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic

no code implementations11 Nov 2021 Wei Zhou, Dong Chen, Jun Yan, Zhaojian Li, Huilin Yin, Wanchen Ge

In this paper, we formulate the lane-changing decision making of multiple AVs in a mixed-traffic highway environment as a multi-agent reinforcement learning (MARL) problem, where each AV makes lane-changing decisions based on the motions of both neighboring AVs and HDVs.

Autonomous Driving Decision Making +1

Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems

1 code implementation11 Oct 2021 Dong Chen, Yuzhen Lu, Zhaojiang Li, Sierra Young

Precision weed management offers a promising solution for sustainable cropping systems through the use of chemical-reduced/non-chemical robotic weeding techniques, which apply suitable control tactics to individual weeds.

Transfer Learning

Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile

no code implementations29 Sep 2021 Dong Chen, Lingfei Wu, Siliang Tang, Fangli Xu, Yun Xiao, Bo Long, Yueting Zhuang

Furthermore, to obtain a more accurate main direction for Eigen-Reptile in the presence of label noise, we further propose Introspective Self-paced Learning (ISPL).

Few-Shot Learning

Proteome-informed machine learning studies of cocaine addiction

1 code implementation17 Sep 2021 Kaifu Gao, Dong Chen, Alfred J Robison, Guo-Wei Wei

Cocaine addiction accounts for a large portion of substance use disorders and threatens millions of lives worldwide.

Dual Path Learning for Domain Adaptation of Semantic Segmentation

1 code implementation ICCV 2021 Yiting Cheng, Fangyun Wei, Jianmin Bao, Dong Chen, Fang Wen, Wenqiang Zhang

In this paper, based on the observation that domain adaptation frameworks performed in the source and target domain are almost complementary in terms of image translation and SSL, we propose a novel dual path learning (DPL) framework to alleviate visual inconsistency.

Domain Adaptation Self-Supervised Learning +3

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

4 code implementations1 Jul 2021 Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, Baining Guo

By further pretraining on the larger dataset ImageNet-21K, we achieve 87. 5% Top-1 accuracy on ImageNet-1K and high segmentation performance on ADE20K with 55. 7 mIoU.

Ranked #8 on Semantic Segmentation on ADE20K (using extra training data)

Image Classification Semantic Segmentation

Robust Mutual Learning for Semi-supervised Semantic Segmentation

no code implementations1 Jun 2021 Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Fang Wen

The proposed robust mutual learning demonstrates state-of-the-art performance on semantic segmentation in low-data regime.

Rectification Semi-Supervised Semantic Segmentation

Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic

2 code implementations12 May 2021 Dong Chen, Zhaojian Li, Yongqiang Wang, Longsheng Jiang, Yue Wang

On-ramp merging is a challenging task for autonomous vehicles (AVs), especially in mixed traffic where AVs coexist with human-driven vehicles (HDVs).

Autonomous Vehicles Curriculum Learning +1

High-Fidelity and Arbitrary Face Editing

no code implementations CVPR 2021 Yue Gao, Fangyun Wei, Jianmin Bao, Shuyang Gu, Dong Chen, Fang Wen, Zhouhui Lian

However, we observe that the generator tends to find a tricky way to hide information from the original image to satisfy the constraint of cycle consistency, making it impossible to maintain the rich details (e. g., wrinkles and moles) of non-editing areas.

Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression

1 code implementation22 Mar 2021 Dong Chen, Duoqian Miao

In this paper, we first present an evaluation-feedback module, which is proposed to consist of evaluation system and feedback mechanism.

Object Detection

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion

1 code implementation CVPR 2021 Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen

In this paper, we proposed a novel Style-based Point Generator with Adversarial Rendering (SpareNet) for point cloud completion.

 Ranked #1 on Point Cloud Completion on ShapeNet (Earth Mover's Distance metric)

Point Cloud Completion

Robust Meta-learning with Noise via Eigen-Reptile

no code implementations1 Jan 2021 Dong Chen, Lingfei Wu, Siliang Tang, Fangli Xu, Juncheng Li, Chang Zong, Chilie Tan, Yueting Zhuang

In particular, we first cast the meta-overfitting problem (overfitting on sampling and label noise) as a gradient noise problem since few available samples cause meta-learner to overfit on existing examples (clean or corrupted) of an individual task at every gradient step.

Few-Shot Learning

Identity-Driven DeepFake Detection

no code implementations7 Dec 2020 Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Dong Chen, Fang Wen, Baining Guo

Our approach takes as input the suspect image/video as well as the target identity information (a reference image or video).

DeepFake Detection Face Swapping

Evidence of topological nodal lines and surface states in the centrosymmetric superconductor SnTaS2

no code implementations7 Dec 2020 Wenqing Chen, Lulu Liu, Wentao Yang, Dong Chen, Zhengtai Liu, Yaobo Huang, Tong Zhang, Haijun Zhang, Zhonghao Liu, D. W. Shen

Utilizing angle-resolved photoemission spectroscopy and first-principles calculations, here, we demonstrate the existence of topological nodal-line states and drumheadlike surface states in centrosymmetric superconductor SnTaS2, which is a type-II superconductor with a critical transition temperature of about 3 K. The valence bands from Ta 5d orbitals and the conduction bands from Sn 5p orbitals cross each other, forming two nodal lines in the vicinity of the Fermi energy without the inclusion of spin-orbit coupling (SOC), protected by the spatial-inversion symmetry and time-reversal symmetry.

Superconductivity

Unsupervised Pre-training for Person Re-identification

1 code implementation CVPR 2021 Dengpan Fu, Dongdong Chen, Jianmin Bao, Hao Yang, Lu Yuan, Lei Zhang, Houqiang Li, Dong Chen

In this paper, we present a large scale unlabeled person re-identification (Re-ID) dataset "LUPerson" and make the first attempt of performing unsupervised pre-training for improving the generalization ability of the learned person Re-ID feature representation.

Ranked #2 on Person Re-Identification on Market-1501 (using extra training data)

Data Augmentation Person Re-Identification +1

PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control

1 code implementation24 Nov 2020 Dong Chen, Kaian Chen. Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin

Specifically, we consider the decentralized inverter-based secondary voltage control problem in distributed generators (DGs), which is first formulated as a cooperative multi-agent reinforcement learning (MARL) problem.

Multi-agent Reinforcement Learning

Learnable Sampling 3D Convolution for Video Enhancement and Action Recognition

no code implementations22 Nov 2020 Shuyang Gu, Jianmin Bao, Dong Chen

A key challenge in video enhancement and action recognition is to fuse useful information from neighboring frames.

Action Recognition Denoising +3

GreedyFool: Distortion-Aware Sparse Adversarial Attack

1 code implementation NeurIPS 2020 Xiaoyi Dong, Dongdong Chen, Jianmin Bao, Chuan Qin, Lu Yuan, Weiming Zhang, Nenghai Yu, Dong Chen

Sparse adversarial samples are a special branch of adversarial samples that can fool the target model by only perturbing a few pixels.

Adversarial Attack

Old Photo Restoration via Deep Latent Space Translation

5 code implementations14 Sep 2020 Zi-Yu Wan, Bo Zhang, Dong-Dong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen

Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize.

Image Restoration Translation

Unified Representation Learning for Cross Model Compatibility

no code implementations11 Aug 2020 Chien-Yi Wang, Ya-Liang Chang, Shang-Ta Yang, Dong Chen, Shang-Hong Lai

We propose a unified representation learning framework to address the Cross Model Compatibility (CMC) problem in the context of visual search applications.

Face Identification Face Recognition +2

PriorGAN: Real Data Prior for Generative Adversarial Nets

1 code implementation30 Jun 2020 Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen

To address these two issues, we propose a novel prior that captures the whole real data distribution for GANs, which are called PriorGANs.

Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition

1 code implementation ECCV 2020 Di Hu, Xuhong LI, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou

With the help of this dataset, we evaluate three proposed approaches for transferring the sound event knowledge to the aerial scene recognition task in a multimodal learning framework, and show the benefit of exploiting the audio information for the aerial scene recognition.

Scene Recognition

Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation

no code implementations23 Apr 2020 Jingwei Song, Shaobo Xia, Jun Wang, Mitesh Patel, Dong Chen

Sliding-window based low-rank matrix approximation (LRMA) is a technique widely used in hyperspectral images (HSIs) denoising or completion.

Hyperspectral Image Denoising Image Denoising

Bringing Old Photos Back to Life

5 code implementations CVPR 2020 Zi-Yu Wan, Bo Zhang, Dong-Dong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen

Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize.

Image Restoration Translation

Curved Buildings Reconstruction from Airborne LiDAR Data by Matching and Deforming Geometric Primitives

no code implementations22 Mar 2020 Jingwei Song, Shaobo Xia, Jun Wang, Dong Chen

To this end, we propose a new framework for curved building reconstruction via assembling and deforming geometric primitives.

GIQA: Generated Image Quality Assessment

1 code implementation ECCV 2020 Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen

Generative adversarial networks (GANs) have achieved impressive results today, but not all generated images are perfect.

Image Quality Assessment

Online Semantic Exploration of Indoor Maps

no code implementations21 Feb 2020 Ziyuan Liu, Dong Chen, Georg von Wichert

In this paper we propose a method to extract an abstracted floor plan from typical grid maps using Bayesian reasoning.

Table-Top Scene Analysis Using Knowledge-Supervised MCMC

no code implementations19 Feb 2020 Ziyuan Liu, Dong Chen, Kai M. Wurm, Georg von Wichert

Our approach to generate scene graphs is probabilistic: Uncertainty in the object poses is addressed by a probabilistic sensor model that is embedded in a data driven MCMC process.

Face X-ray for More General Face Forgery Detection

2 code implementations CVPR 2020 Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, Baining Guo

For this reason, face X-ray provides an effective way for detecting forgery generated by most existing face manipulation algorithms.

DeepFake Detection Face Swapping

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

9 code implementations31 Dec 2019 Lingzhi Li, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen

We propose a novel attributes encoder for extracting multi-level target face attributes, and a new generator with carefully designed Adaptive Attentional Denormalization (AAD) layers to adaptively integrate the identity and the attributes for face synthesis.

Face Generation Face Swapping

Face Parsing with RoI Tanh-Warping

2 code implementations CVPR 2019 Jinpeng Lin, Hao Yang, Dong Chen, Ming Zeng, Fang Wen, Lu Yuan

It uses hierarchical local based method for inner facial components and global methods for outer facial components.

Face Parsing

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set

1 code implementation20 Mar 2019 Yu Deng, Jiaolong Yang, Sicheng Xu, Dong Chen, Yunde Jia, Xin Tong

Recently, deep learning based 3D face reconstruction methods have shown promising results in both quality and efficiency. However, training deep neural networks typically requires a large volume of data, whereas face images with ground-truth 3D face shapes are scarce.

3D Face Reconstruction

Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks

no code implementations28 Nov 2018 Wei Hu, Gusi Te, Ju He, Dong Chen, Zongming Guo

Face anti-spoofing plays a crucial role in protecting face recognition systems from various attacks.

Face Anti-Spoofing Face Recognition

A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria

no code implementations27 Sep 2018 Yu Zhao, Zhenhui Shi, Jingyang Zhang, Dong Chen, Lixu Gu

The proposed method serves as a heuristic means to select high-value samples of high scalability and generality and is implemented through a three-step process: (1) the transformation of the sample selection to sample ranking and scoring, (2) the computation of the self-adaptive weights of each criterion, and (3) the weighted aggregation of each sample rank list.

Active Learning General Classification

Towards Open-Set Identity Preserving Face Synthesis

no code implementations CVPR 2018 Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, Gang Hua

We then recombine the identity vector and the attribute vector to synthesize a new face of the subject with the extracted attribute.

Face Generation

Supervised Transformer Network for Efficient Face Detection

no code implementations19 Jul 2016 Dong Chen, Gang Hua, Fang Wen, Jian Sun

For real-time performance, we run the cascaded network only on regions of interests produced from a boosting cascade face detector.

Face Detection Region Proposal

Neural Aggregation Network for Video Face Recognition

no code implementations CVPR 2017 Jiaolong Yang, Peiran Ren, Dong-Qing Zhang, Dong Chen, Fang Wen, Hongdong Li, Gang Hua

The network takes a face video or face image set of a person with a variable number of face images as its input, and produces a compact, fixed-dimension feature representation for recognition.

Face Recognition Face Verification

Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification

no code implementations CVPR 2013 Dong Chen, Xudong Cao, Fang Wen, Jian Sun

Making a high-dimensional (e. g., 100K-dim) feature for face recognition seems not a good idea because it will bring difficulties on consequent training, computation, and storage.

Age-Invariant Face Recognition Face Verification

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