Search Results for author: Chen Qian

Found 88 papers, 41 papers with code

Local Correlation Consistency for Knowledge Distillation

no code implementations ECCV 2020 Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian

Sufficient knowledge extraction from the teacher network plays a critical role in the knowledge distillation task to improve the performance of the student network.

Knowledge Distillation

Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing

no code implementations25 Apr 2022 Haoyue Cheng, Zhaoyang Liu, Hang Zhou, Chen Qian, Wayne Wu, LiMin Wang

This paper focuses on the weakly-supervised audio-visual video parsing task, which aims to recognize all events belonging to each modality and localize their temporal boundaries.

Denoising

Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis

1 code implementation25 Apr 2022 Wei Cheng, Su Xu, Jingtan Piao, Chen Qian, Wayne Wu, Kwan-Yee Lin, Hongsheng Li

Specifically, we compress the light fields for novel view human rendering as conditional implicit neural radiance fields from both geometry and appearance aspects.

Novel View Synthesis

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

1 code implementation25 Apr 2022 Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Chen Qian, Chen Change Loy, Wayne Wu, Ziwei Liu

In addition, a model zoo and human editing applications are demonstrated to facilitate future research in the community.

Image Generation

Simulating Fluids in Real-World Still Images

1 code implementation24 Apr 2022 Siming Fan, Jingtan Piao, Chen Qian, Kwan-Yee Lin, Hongsheng Li

In this work, we tackle the problem of real-world fluid animation from a still image.

Motion Estimation

A Keypoint-based Global Association Network for Lane Detection

1 code implementation15 Apr 2022 Jinsheng Wang, Yinchao Ma, Shaofei Huang, Tianrui Hui, Fei Wang, Chen Qian, Tianzhu Zhang

Earlier works follow a top-down roadmap to regress predefined anchors into various shapes of lane lines, which lacks enough flexibility to fit complex shapes of lanes due to the fixed anchor shapes.

Ranked #3 on Lane Detection on TuSimple (F1 score metric)

Lane Detection

A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging

no code implementations28 Mar 2022 Chen Qian, Zi Wang, Xinlin Zhang, Boxuan Shi, Boyu Jiang, Ran Tao, Di Guo, Xiaobo Qu

The explicit phase model PAIR with complementary priors has a good performance on challenging reconstructions under severe motions between shots and low signal-to-noise ratio.

Learning Where to Learn in Cross-View Self-Supervised Learning

1 code implementation28 Mar 2022 Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki

In this paper, we present a new approach, Learning Where to Learn (LEWEL), to adaptively aggregate spatial information of features, so that the projected embeddings could be exactly aligned and thus guide the feature learning better.

Object Detection Representation Learning +2

Searching for Network Width with Bilaterally Coupled Network

1 code implementation25 Mar 2022 Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu

In BCNet, each channel is fairly trained and responsible for the same amount of network widths, thus each network width can be evaluated more accurately.

Fairness

Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory

1 code implementation24 Mar 2022 Li SiYao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, Ziwei Liu

With the learned choreographic memory, dance generation is realized on the quantized units that meet high choreography standards, such that the generated dancing sequences are confined within the spatial constraints.

DyRep: Bootstrapping Training with Dynamic Re-parameterization

1 code implementation24 Mar 2022 Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu

Structural re-parameterization (Rep) methods achieve noticeable improvements on simple VGG-style networks.

Relational Self-Supervised Learning

no code implementations16 Mar 2022 Mingkai Zheng, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang, Chang Xu

Self-supervised Learning (SSL) including the mainstream contrastive learning has achieved great success in learning visual representations without data annotations.

Contrastive Learning Self-Supervised Learning

Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization

no code implementations ICLR 2022 Can Wang, Sheng Jin, Yingda Guan, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang

PL approaches apply pseudo-labels to unlabeled data, and then train the model with a combination of the labeled and pseudo-labeled data iteratively.

Efficient and Reliable Overlay Networks for Decentralized Federated Learning

no code implementations12 Dec 2021 Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang

As such, our proposed overlay networks accelerate convergence, improve generalization, and enhance robustness to clients failures in DFL with theoretical guarantees.

Federated Learning Generalization Bounds +2

Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection

no code implementations9 Dec 2021 Jiaqi Tang, Zhaoyang Liu, Chen Qian, Wayne Wu, LiMin Wang

Generic event boundary detection is an important yet challenging task in video understanding, which aims at detecting the moments where humans naturally perceive event boundaries.

Boundary Detection Video Understanding

One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI

no code implementations9 Dec 2021 Zi Wang, Chen Qian, Di Guo, Hongwei Sun, Rushuai Li, Bo Zhao, Xiaobo Qu

Deep learning has shown astonishing performance in accelerated magnetic resonance imaging (MRI).

GreedyNASv2: Greedier Search with a Greedy Path Filter

no code implementations24 Nov 2021 Tao Huang, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang, Chang Xu

In this paper, we leverage an explicit path filter to capture the characteristics of paths and directly filter those weak ones, so that the search can be thus implemented on the shrunk space more greedily and efficiently.

Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary

no code implementations4 Oct 2021 Siyuan Zhou, Li Niu, Jianlou Si, Chen Qian, Liqing Zhang

As a result, we find that pixel-level annotation of base categories can facilitate affinity learning and propagation, leading to higher-quality CAMs of novel categories.

Weakly-Supervised Semantic Segmentation

Counterfactual Inference for Text Classification Debiasing

1 code implementation ACL 2021 Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, Pengjun Xie

In inference, given a factual input document, Corsair imagines its two counterfactual counterparts to distill and mitigate the two biases captured by the poisonous model.

Classification Counterfactual Inference +2

ViTAS: Vision Transformer Architecture Search

1 code implementation25 Jun 2021 Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang, Chang Xu

Vision transformers (ViTs) inherited the success of NLP but their structures have not been sufficiently investigated and optimized for visual tasks.

Neural Architecture Search

Pareidolia Face Reenactment

no code implementations CVPR 2021 Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He

We present a new application direction named Pareidolia Face Reenactment, which is defined as animating a static illusory face to move in tandem with a human face in the video.

Face Reenactment Texture Synthesis

K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets

no code implementations11 Jun 2021 Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu

The operation weight for each path is represented as a convex combination of items in a dictionary with a simplex code.

BCNet: Searching for Network Width with Bilaterally Coupled Network

no code implementations CVPR 2021 Xiu Su, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu

In BCNet, each channel is fairly trained and responsible for the same amount of network widths, thus each network width can be evaluated more accurately.

When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks

1 code implementation CVPR 2021 Jiahang Wang, Sheng Jin, Wentao Liu, Weizhong Liu, Chen Qian, Ping Luo

However, unlike human vision that is robust to various data corruptions such as blur and pixelation, current pose estimators are easily confused by these corruptions.

Knowledge Distillation Pose Estimation

Invariance and Contraction in Geometrically Periodic Systems with Differential Inclusions

no code implementations29 Apr 2021 Chen Qian, Yongchun Fang

The objective of this paper is to derive the essential invariance and contraction properties for the geometric periodic systems, which can be formulated as a category of differential inclusions, and primarily rendered in the phase coordinate, or the cycle coordinate.

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI

no code implementations18 Apr 2021 Yirong Zhou, Chen Qian, Yi Guo, Zi Wang, Jian Wang, Biao Qu, Di Guo, Yongfu You, Xiaobo Qu

Machine learning and artificial intelligence have shown remarkable performance in accelerated magnetic resonance imaging (MRI).

Image Reconstruction

Everything's Talkin': Pareidolia Face Reenactment

1 code implementation7 Apr 2021 Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He

We present a new application direction named Pareidolia Face Reenactment, which is defined as animating a static illusory face to move in tandem with a human face in the video.

Face Reenactment Texture Synthesis

Prioritized Architecture Sampling with Monto-Carlo Tree Search

1 code implementation CVPR 2021 Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu

One-shot neural architecture search (NAS) methods significantly reduce the search cost by considering the whole search space as one network, which only needs to be trained once.

Neural Architecture Search

Reformulating HOI Detection as Adaptive Set Prediction

1 code implementation CVPR 2021 Mingfei Chen, Yue Liao, Si Liu, ZhiYuan Chen, Fei Wang, Chen Qian

To attain this, we map a trainable interaction query set to an interaction prediction set with a transformer.

Ranked #12 on Human-Object Interaction Detection on HICO-DET (using extra training data)

Human-Object Interaction Detection

Locally Free Weight Sharing for Network Width Search

no code implementations ICLR 2021 Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu

In this paper, to better evaluate each width, we propose a locally free weight sharing strategy (CafeNet) accordingly.

Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search

no code implementations CVPR 2021 Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin

Our method enables differentiable sparsification, and keeps the derived architecture equivalent to that of Engine-cell, which further improves the consistency between search and evaluation.

Neural Architecture Search

EnTranNAS: Towards Closing the Gap between the Architectures in Search and Evaluation

no code implementations1 Jan 2021 Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin

The Engine-cell is differentiable for architecture search, while the Transit-cell only transits the current sub-graph by architecture derivation.

Neural Architecture Search

Learning With Privileged Tasks

no code implementations ICCV 2021 Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, ChangShui Zhang, Xiaogang Wang

Concretely, we introduce a privileged parameter so that the optimization direction does not necessarily follow the gradient from the privileged tasks, but concentrates more on the target tasks.

Multi-Task Learning

Explicit Learning Topology for Differentiable Neural Architecture Search

no code implementations1 Jan 2021 Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, ChangShui Zhang

Differentiable neural architecture search (NAS) has gained much success in discovering more flexible and diverse cell types.

Neural Architecture Search

GAHNE: Graph-Aggregated Heterogeneous Network Embedding

no code implementations23 Dec 2020 Xiaohe Li, Lijie Wen, Chen Qian, Jianmin Wang

Heterogeneous network embedding aims to embed nodes into low-dimensional vectors which capture rich intrinsic information of heterogeneous networks.

Network Embedding

Directed Graph Attention Neural Network Utilizing 3D Coordinates for Molecular Property Prediction

no code implementations1 Dec 2020 Chen Qian, Yunhai Xiong, Xiang Chen

DGANN distinguishes from previous models with those features: (1) It learns the local chemical environment encoding by graph attention mechanism on chemical bonds.

Graph Attention Molecular Property Prediction

Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space

1 code implementation NeurIPS 2020 Shangchen Du, Shan You, Xiaojie Li, Jianlong Wu, Fei Wang, Chen Qian, ChangShui Zhang

In this paper, we examine the diversity of teacher models in the gradient space and regard the ensemble knowledge distillation as a multi-objective optimization problem so that we can determine a better optimization direction for the training of student network.

Knowledge Distillation

Stretchable Cells Help DARTS Search Better

no code implementations18 Nov 2020 Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, ChangShui Zhang

However, even for this consistent search, the searched cells often suffer from poor performance, especially for the supernet with fewer layers, as current DARTS methods are prone to wide and shallow cells, and this topology collapse induces sub-optimal searched cells.

Neural Architecture Search

AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection

no code implementations NeurIPS 2020 Hao Zhu, Chaoyou Fu, Qianyi Wu, Wayne Wu, Chen Qian, Ran He

However, due to the lack of Deepfakes datasets with large variance in appearance, which can be hardly produced by recent identity swapping methods, the detection algorithm may fail in this situation.

Data Agnostic Filter Gating for Efficient Deep Networks

no code implementations28 Oct 2020 Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, ChangShui Zhang, Chang Xu

To deploy a well-trained CNN model on low-end computation edge devices, it is usually supposed to compress or prune the model under certain computation budget (e. g., FLOPs).

HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation

no code implementations ECCV 2020 Jiefeng Li, Can Wang, Wentao Liu, Chen Qian, Cewu Lu

The HMOR encodes interaction information as the ordinal relations of depths and angles hierarchically, which captures the body-part and joint level semantic and maintains global consistency at the same time.

3D Human Pose Estimation 3D Multi-Person Pose Estimation (absolute) +3

Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation

no code implementations ECCV 2020 Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo

The modules of HGG can be trained end-to-end with the keypoint detection network and is able to supervise the grouping process in a hierarchical manner.

Graph Clustering Human Detection +1

Whole-Body Human Pose Estimation in the Wild

2 code implementations ECCV 2020 Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo

This paper investigates the task of 2D human whole-body pose estimation, which aims to localize dense landmarks on the entire human body including face, hands, body, and feet.

Facial Landmark Detection Hand Pose Estimation

Fast and Accurate: Structure Coherence Component for Face Alignment

no code implementations21 Jun 2020 Beier Zhu, Chunze Lin, Quan Wang, Renjie Liao, Chen Qian

In this paper, we propose a fast and accurate coordinate regression method for face alignment.

Face Alignment

Effects of Horizons on Entanglement Harvesting

no code implementations2 Jun 2020 Wan Cong, Chen Qian, Michael R. R. Good, Robert B. Mann

We study the effects of horizons on the entanglement harvested between two Unruh-DeWitt detectors via the use of moving mirrors with and without strict horizons.

General Relativity and Quantum Cosmology High Energy Physics - Theory

TAM: Temporal Adaptive Module for Video Recognition

2 code implementations ICCV 2021 Zhao-Yang Liu, Li-Min Wang, Wayne Wu, Chen Qian, Tong Lu

Video data is with complex temporal dynamics due to various factors such as camera motion, speed variation, and different activities.

Action Recognition Video Recognition

Multiple uncertainty relation for accelerated quantum information

no code implementations21 Apr 2020 Chen Qian, Ya-Dong Wu, Jia-Wei Ji, Yunlong Xiao, Barry C. Sanders

The uncertainty principle, first introduced by Heisenberg in inertial frames, clearly distinguishes quantum theories from classical mechanics.

Quantum Physics General Relativity and Quantum Cosmology

3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior

2 code implementations CVPR 2020 Xiaokang Chen, Kwan-Yee Lin, Chen Qian, Gang Zeng, Hongsheng Li

To this end, we first propose a novel 3D sketch-aware feature embedding to explicitly encode geometric information effectively and efficiently.

TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting

no code implementations CVPR 2020 Zhuoqian Yang, Wentao Zhu, Wayne Wu, Chen Qian, Qiang Zhou, Bolei Zhou, Chen Change Loy

We present a lightweight video motion retargeting approach TransMoMo that is capable of transferring motion of a person in a source video realistically to another video of a target person.

motion retargeting

CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

2 code implementations CVPR 2020 Zhiwei Dong, Guoxuan Li, Yue Liao, Fei Wang, Pengju Ren, Chen Qian

CentripetalNet predicts the position and the centripetal shift of the corner points and matches corners whose shifted results are aligned.

Instance Segmentation Object Detection +1

Everybody's Talkin': Let Me Talk as You Want

no code implementations15 Jan 2020 Linsen Song, Wayne Wu, Chen Qian, Ran He, Chen Change Loy

The audio-translated expression parameters are then used to synthesize a photo-realistic human subject in each video frame, with the movement of the mouth regions precisely mapped to the source audio.

3D Face Reconstruction Frame

TRB: A Novel Triplet Representation for Understanding 2D Human Body

2 code implementations ICCV 2019 Haodong Duan, Kwan-Yee Lin, Sheng Jin, Wentao Liu, Chen Qian, Wanli Ouyang

In this paper, we propose the Triplet Representation for Body (TRB) -- a compact 2D human body representation, with skeleton keypoints capturing human pose information and contour keypoints containing human shape information.

Conditional Image Generation

Make a Face: Towards Arbitrary High Fidelity Face Manipulation

no code implementations ICCV 2019 Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He

Recent studies have shown remarkable success in face manipulation task with the advance of GANs and VAEs paradigms, but the outputs are sometimes limited to low-resolution and lack of diversity.

Disentanglement

TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking

no code implementations16 May 2019 Chen Qian, Lijie Wen, Akhil Kumar

Process consistency checking (PCC), an interdiscipline of natural language processing (NLP) and business process management (BPM), aims to quantify the degree of (in)consistencies between graphical and textual descriptions of a process.

Graph Embedding

An Approach for Process Model Extraction By Multi-Grained Text Classification

1 code implementation16 May 2019 Chen Qian, Lijie Wen, Akhil Kumar, Leilei Lin, Li Lin, Zan Zong, Shuang Li, Jian-Min Wang

Process model extraction (PME) is a recently emerged interdiscipline between natural language processing (NLP) and business process management (BPM), which aims to extract process models from textual descriptions.

General Classification Model extraction +3

Disentangling Content and Style via Unsupervised Geometry Distillation

1 code implementation ICLR Workshop DeepGenStruct 2019 Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy

It is challenging to disentangle an object into two orthogonal spaces of content and style since each can influence the visual observation differently and unpredictably.

Disentanglement

TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation

no code implementations CVPR 2019 Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy

Extensive experiments demonstrate the superior performance of our method to other state-of-the-art approaches, especially in the challenging near-rigid and non-rigid objects translation tasks.

Translation Unsupervised Image-To-Image Translation

Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

no code implementations CVPR 2019 Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Xiaogang Wang, Liang Lin

Recent studies have shown remarkable advances in 3D human pose estimation from monocular images, with the help of large-scale in-door 3D datasets and sophisticated network architectures.

3D Human Pose Estimation

3D Human Pose Machines with Self-supervised Learning

2 code implementations arXiv.org 2019 Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei

Driven by recent computer vision and robotic applications, recovering 3D human poses has become increasingly important and attracted growing interests.

3D Human Pose Estimation Self-Supervised Learning

Unsupervised Disentangling Structure and Appearance

no code implementations27 Sep 2018 Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy

It is challenging to disentangle an object into two orthogonal spaces of structure and appearance since each can influence the visual observation in a different and unpredictable way.

Disentanglement

The Devil of Face Recognition is in the Noise

2 code implementations ECCV 2018 Fei Wang, Liren Chen, Cheng Li, Shiyao Huang, Yanjie Chen, Chen Qian, Chen Change Loy

2) With the original datasets and cleaned subsets, we profile and analyze label noise properties of MegaFace and MS-Celeb-1M.

Face Recognition

Look at Boundary: A Boundary-Aware Face Alignment Algorithm

2 code implementations CVPR 2018 Wayne Wu, Chen Qian, Shuo Yang, Quan Wang, Yici Cai, Qiang Zhou

By utilising boundary information of 300-W dataset, our method achieves 3. 92% mean error with 0. 39% failure rate on COFW dataset, and 1. 25% mean error on AFLW-Full dataset.

Ranked #2 on Face Alignment on AFLW-19 (using extra training data)

Face Alignment Facial Landmark Detection

DRPose3D: Depth Ranking in 3D Human Pose Estimation

no code implementations23 May 2018 Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma

In this paper, we propose a two-stage depth ranking based method (DRPose3D) to tackle the problem of 3D human pose estimation.

3D Human Pose Estimation 3D Pose Estimation

Residual Attention Network for Image Classification

14 code implementations CVPR 2017 Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang

In this work, we propose "Residual Attention Network", a convolutional neural network using attention mechanism which can incorporate with state-of-art feed forward network architecture in an end-to-end training fashion.

Classification General Classification +2

DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection

no code implementations11 Sep 2014 Wanli Ouyang, Ping Luo, Xingyu Zeng, Shi Qiu, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Yuanjun Xiong, Chen Qian, Zhenyao Zhu, Ruohui Wang, Chen-Change Loy, Xiaogang Wang, Xiaoou Tang

In the proposed new deep architecture, a new deformation constrained pooling (def-pooling) layer models the deformation of object parts with geometric constraint and penalty.

Object Detection

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