Search Results for author: Xiaoou Tang

Found 94 papers, 47 papers with code

InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs

2 code implementations18 May 2020 Yujun Shen, Ceyuan Yang, Xiaoou Tang, Bolei Zhou

In this work, we propose a framework called InterFaceGAN to interpret the disentangled face representation learned by the state-of-the-art GAN models and study the properties of the facial semantics encoded in the latent space.

Face Generation

Interpreting the Latent Space of GANs for Semantic Face Editing

4 code implementations CVPR 2020 Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou

In this work, we propose a novel framework, called InterFaceGAN, for semantic face editing by interpreting the latent semantics learned by GANs.

Face Generation Image Manipulation

Path-Restore: Learning Network Path Selection for Image Restoration

1 code implementation23 Apr 2019 Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy

To leverage this, we propose Path-Restore, a multi-path CNN with a pathfinder that can dynamically select an appropriate route for each image region.

Denoising Image Restoration

Switchable Whitening for Deep Representation Learning

1 code implementation ICCV 2019 Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, Ping Luo

Unlike existing works that design normalization techniques for specific tasks, we propose Switchable Whitening (SW), which provides a general form unifying different whitening methods as well as standardization methods.

Domain Adaptation Image Classification +3

A Lightweight Optical Flow CNN -- Revisiting Data Fidelity and Regularization

2 code implementations15 Mar 2019 Tak-Wai Hui, Xiaoou Tang, Chen Change Loy

Over four decades, the majority addresses the problem of optical flow estimation using variational methods.

Optical Flow Estimation

An Embarrassingly Simple Approach for Knowledge Distillation

1 code implementation5 Dec 2018 Mengya Gao, Yujun Shen, Quanquan Li, Junjie Yan, Liang Wan, Dahua Lin, Chen Change Loy, Xiaoou Tang

Knowledge Distillation (KD) aims at improving the performance of a low-capacity student model by inheriting knowledge from a high-capacity teacher model.

Face Recognition Knowledge Distillation +2

FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis

no code implementations4 Dec 2018 Yujun Shen, Bolei Zhou, Ping Luo, Xiaoou Tang

In the second stage, they compete in the image domain to render photo-realistic images that contain high diversity but preserve identity.

Face Generation

Deep Network Interpolation for Continuous Imagery Effect Transition

2 code implementations CVPR 2019 Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy

Deep convolutional neural network has demonstrated its capability of learning a deterministic mapping for the desired imagery effect.

Image Restoration Image-to-Image Translation +2

Improving On-policy Learning with Statistical Reward Accumulation

no code implementations7 Sep 2018 Yubin Deng, Ke Yu, Dahua Lin, Xiaoou Tang, Chen Change Loy

Most methods in deep-RL achieve good results via the maximization of the reward signal provided by the environment, typically in the form of discounted cumulative returns.

Atari Games

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

30 code implementations1 Sep 2018 Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang

To further enhance the visual quality, we thoroughly study three key components of SRGAN - network architecture, adversarial loss and perceptual loss, and improve each of them to derive an Enhanced SRGAN (ESRGAN).

Face Hallucination Image Super-Resolution +1

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

13 code implementations ECCV 2018 Xingang Pan, Ping Luo, Jianping Shi, Xiaoou Tang

IBN-Net carefully integrates Instance Normalization (IN) and Batch Normalization (BN) as building blocks, and can be wrapped into many advanced deep networks to improve their performances.

Domain Adaptation

Deep Imbalanced Learning for Face Recognition and Attribute Prediction

1 code implementation1 Jun 2018 Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang

Data for face analysis often exhibit highly-skewed class distribution, i. e., most data belong to a few majority classes, while the minority classes only contain a scarce amount of instances.

Face Recognition Representation Learning

FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis

no code implementations CVPR 2018 Yujun Shen, Ping Luo, Junjie Yan, Xiaogang Wang, Xiaoou Tang

Existing methods typically formulate GAN as a two-player game, where a discriminator distinguishes face images from the real and synthesized domains, while a generator reduces its discriminativeness by synthesizing a face of photo-realistic quality.

Face Generation

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation

6 code implementations CVPR 2018 Tak-Wai Hui, Xiaoou Tang, Chen Change Loy

FlowNet2, the state-of-the-art convolutional neural network (CNN) for optical flow estimation, requires over 160M parameters to achieve accurate flow estimation.

Optical Flow Estimation

Pose-Robust Face Recognition via Deep Residual Equivariant Mapping

1 code implementation CVPR 2018 Kaidi Cao, Yu Rong, Cheng Li, Xiaoou Tang, Chen Change Loy

However, many contemporary face recognition models still perform relatively poor in processing profile faces compared to frontal faces.

Face Identification Face Recognition +2

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

6 code implementations17 Dec 2017 Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang

Although CNN has shown strong capability to extract semantics from raw pixels, its capacity to capture spatial relationships of pixels across rows and columns of an image is not fully explored.

Ranked #7 on Lane Detection on TuSimple (using extra training data)

Lane Detection Scene Understanding

Mix-and-Match Tuning for Self-Supervised Semantic Segmentation

no code implementations2 Dec 2017 Xiaohang Zhan, Ziwei Liu, Ping Luo, Xiaoou Tang, Chen Change Loy

The key of this new form of learning is to design a proxy task (e. g. image colorization), from which a discriminative loss can be formulated on unlabeled data.

Colorization Semantic Segmentation

Learning to Disambiguate by Asking Discriminative Questions

no code implementations ICCV 2017 Yining Li, Chen Huang, Xiaoou Tang, Chen-Change Loy

In particular, each tuple consists of a pair of images and 4. 6 discriminative questions (as positive samples) and 5. 9 non-discriminative questions (as negative samples) on average.

Image Captioning Question Answering +2

Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks

2 code implementations7 Aug 2017 Sijie Yan, Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang

This work addresses unconstrained fashion landmark detection, where clothing bounding boxes are not provided in both training and test.

Video Object Segmentation with Re-identification

3 code implementations1 Aug 2017 Xiaoxiao Li, Yuankai Qi, Zhe Wang, Kai Chen, Ziwei Liu, Jianping Shi, Ping Luo, Xiaoou Tang, Chen Change Loy

Specifically, our Video Object Segmentation with Re-identification (VS-ReID) model includes a mask propagation module and a ReID module.

Semantic Segmentation Video Object Segmentation +2

Recurrent Scale Approximation for Object Detection in CNN

1 code implementation ICCV 2017 Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang

To further increase efficiency and accuracy, we (a): design a scale-forecast network to globally predict potential scales in the image since there is no need to compute maps on all levels of the pyramid.

Face Detection Object Detection

Aesthetic-Driven Image Enhancement by Adversarial Learning

1 code implementation17 Jul 2017 Yubin Deng, Chen Change Loy, Xiaoou Tang

We introduce EnhanceGAN, an adversarial learning based model that performs automatic image enhancement.

Image Cropping Image Enhancement

Face Detection through Scale-Friendly Deep Convolutional Networks

no code implementations9 Jun 2017 Shuo Yang, Yuanjun Xiong, Chen Change Loy, Xiaoou Tang

Specifically, our method achieves 76. 4 average precision on the challenging WIDER FACE dataset and 96% recall rate on the FDDB dataset with 7 frames per second (fps) for 900 * 1300 input image.

Face Detection

Temporal Segment Networks for Action Recognition in Videos

8 code implementations8 May 2017 Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc van Gool

Furthermore, based on the temporal segment networks, we won the video classification track at the ActivityNet challenge 2016 among 24 teams, which demonstrates the effectiveness of TSN and the proposed good practices.

Ranked #17 on Action Classification on Moments in Time (Top 5 Accuracy metric)

Action Classification Action Recognition +2

Residual Attention Network for Image Classification

15 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.

General Classification Image Classification +1

Video Frame Synthesis using Deep Voxel Flow

3 code implementations ICCV 2017 Ziwei Liu, Raymond A. Yeh, Xiaoou Tang, Yiming Liu, Aseem Agarwala

We combine the advantages of these two methods by training a deep network that learns to synthesize video frames by flowing pixel values from existing ones, which we call deep voxel flow.

Optical Flow Estimation

Faceness-Net: Face Detection through Deep Facial Part Responses

no code implementations29 Jan 2017 Shuo Yang, Ping Luo, Chen Change Loy, Xiaoou Tang

We propose a deep convolutional neural network (CNN) for face detection leveraging on facial attributes based supervision.

Face Detection

Local Similarity-Aware Deep Feature Embedding

no code implementations NeurIPS 2016 Chen Huang, Chen Change Loy, Xiaoou Tang

Existing deep embedding methods in vision tasks are capable of learning a compact Euclidean space from images, where Euclidean distances correspond to a similarity metric.

Image Retrieval Transfer Learning +1

Image Aesthetic Assessment: An Experimental Survey

1 code implementation4 Oct 2016 Yubin Deng, Chen Change Loy, Xiaoou Tang

This survey aims at reviewing recent computer vision techniques used in the assessment of image aesthetic quality.

From Facial Expression Recognition to Interpersonal Relation Prediction

no code implementations21 Sep 2016 Zhanpeng Zhang, Ping Luo, Chen Change Loy, Xiaoou Tang

Unlike existing models that typically learn from facial expression labels alone, we devise an effective multitask network that is capable of learning from rich auxiliary attributes such as gender, age, and head pose, beyond just facial expression data.

Facial Expression Recognition

Deep Markov Random Field for Image Modeling

1 code implementation7 Sep 2016 Zhirong Wu, Dahua Lin, Xiaoou Tang

Markov Random Fields (MRFs), a formulation widely used in generative image modeling, have long been plagued by the lack of expressive power.

Fashion Landmark Detection in the Wild

4 code implementations10 Aug 2016 Ziwei Liu, Sijie Yan, Ping Luo, Xiaogang Wang, Xiaoou Tang

Fashion landmark is also compared to clothing bounding boxes and human joints in two applications, fashion attribute prediction and clothes retrieval, showing that fashion landmark is a more discriminative representation to understand fashion images.

Pose Estimation

Deep Convolution Networks for Compression Artifacts Reduction

2 code implementations9 Aug 2016 Ke Yu, Chao Dong, Chen Change Loy, Xiaoou Tang

Lossy compression introduces complex compression artifacts, particularly blocking artifacts, ringing effects and blurring.

Transfer Learning

CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016

1 code implementation2 Aug 2016 Yuanjun Xiong, Li-Min Wang, Zhe Wang, Bo-Wen Zhang, Hang Song, Wei Li, Dahua Lin, Yu Qiao, Luc van Gool, Xiaoou Tang

This paper presents the method that underlies our submission to the untrimmed video classification task of ActivityNet Challenge 2016.

General Classification Video Classification

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

19 code implementations2 Aug 2016 Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc van Gool

The other contribution is our study on a series of good practices in learning ConvNets on video data with the help of temporal segment network.

Action Classification Action Recognition +3

Accelerating the Super-Resolution Convolutional Neural Network

11 code implementations1 Aug 2016 Chao Dong, Chen Change Loy, Xiaoou Tang

As a successful deep model applied in image super-resolution (SR), the Super-Resolution Convolutional Neural Network (SRCNN) has demonstrated superior performance to the previous hand-crafted models either in speed and restoration quality.

Image Super-Resolution

Deep Cascaded Bi-Network for Face Hallucination

no code implementations18 Jul 2016 Shizhan Zhu, Sifei Liu, Chen Change Loy, Xiaoou Tang

We present a novel framework for hallucinating faces of unconstrained poses and with very low resolution (face size as small as 5pxIOD).

Face Hallucination

DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations

no code implementations CVPR 2016 Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang

To demonstrate the advantages of DeepFashion, we propose a new deep model, namely FashionNet, which learns clothing features by jointly predicting clothing attributes and landmarks.

Learning Deep Representation for Imbalanced Classification

no code implementations CVPR 2016 Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang

We further demonstrate that more discriminative deep representation can be learned by enforcing a deep network to maintain both inter-cluster and inter-class margins.

General Classification imbalanced classification +1

Actionness Estimation Using Hybrid Fully Convolutional Networks

no code implementations CVPR 2016 Limin Wang, Yu Qiao, Xiaoou Tang, Luc van Gool

Actionness was introduced to quantify the likelihood of containing a generic action instance at a specific location.

Action Detection Action Recognition

Discriminative Sparse Neighbor Approximation for Imbalanced Learning

no code implementations3 Feb 2016 Chen Huang, Chen Change Loy, Xiaoou Tang

These methods further deteriorate on small, imbalanced data that has a large degree of class overlap.

Sparsifying Neural Network Connections for Face Recognition

no code implementations CVPR 2016 Yi Sun, Xiaogang Wang, Xiaoou Tang

This paper proposes to learn high-performance deep ConvNets with sparse neural connections, referred to as sparse ConvNets, for face recognition.

Face Recognition

Deep Learning Strong Parts for Pedestrian Detection

no code implementations ICCV 2015 Yonglong Tian, Ping Luo, Xiaogang Wang, Xiaoou Tang

Third, each part detector in DeepParts is a strong detector that can detect pedestrian by observing only a part of a proposal.

Occlusion Handling Pedestrian Detection

Towards Arbitrary-View Face Alignment by Recommendation Trees

no code implementations20 Nov 2015 Shizhan Zhu, Cheng Li, Chen Change Loy, Xiaoou Tang

The unified framework seamlessly handles different viewpoints and landmark protocols, and it is trained by optimising directly on landmark locations, thus yielding superior results on arbitrary-view face alignment.

Face Alignment Head Pose Estimation +1

Adjustable Bounded Rectifiers: Towards Deep Binary Representations

no code implementations19 Nov 2015 Zhirong Wu, Dahua Lin, Xiaoou Tang

This suggests that the semantic structure of a neural network may be manifested through a guided binarization process.

Binarization

From Facial Parts Responses to Face Detection: A Deep Learning Approach

2 code implementations ICCV 2015 Shuo Yang, Ping Luo, Chen Change Loy, Xiaoou Tang

In this paper, we propose a novel deep convolutional network (DCN) that achieves outstanding performance on FDDB, PASCAL Face, and AFW.

Face Detection

Learning Social Relation Traits from Face Images

no code implementations ICCV 2015 Zhanpeng Zhang, Ping Luo, Chen Change Loy, Xiaoou Tang

Social relation defines the association, e. g, warm, friendliness, and dominance, between two or more people.

Semantic Image Segmentation via Deep Parsing Network

no code implementations ICCV 2015 Ziwei Liu, Xiaoxiao Li, Ping Luo, Chen Change Loy, Xiaoou Tang

This paper addresses semantic image segmentation by incorporating rich information into Markov Random Field (MRF), including high-order relations and mixture of label contexts.

Semantic Segmentation

Reading Scene Text in Deep Convolutional Sequences

1 code implementation14 Jun 2015 Pan He, Weilin Huang, Yu Qiao, Chen Change Loy, Xiaoou Tang

We develop a Deep-Text Recurrent Network (DTRN) that regards scene text reading as a sequence labelling problem.

Scene Text Recognition

Cascaded Hand Pose Regression

no code implementations CVPR 2015 Xiao Sun, Yichen Wei, Shuang Liang, Xiaoou Tang, Jian Sun

We extends the previous 2D cascaded object pose regression work [9] in two aspects so that it works better for 3D articulated objects.

3D Hand Pose Estimation

Recognize Complex Events From Static Images by Fusing Deep Channels

no code implementations CVPR 2015 Yuanjun Xiong, Kai Zhu, Dahua Lin, Xiaoou Tang

A considerable portion of web images capture events that occur in our personal lives or social activities.

DeepID3: Face Recognition with Very Deep Neural Networks

2 code implementations3 Feb 2015 Yi Sun, Ding Liang, Xiaogang Wang, Xiaoou Tang

Very deep neural networks recently achieved great success on general object recognition because of their superb learning capacity.

Face Identification Face Recognition +2

Learning to Recognize Pedestrian Attribute

no code implementations5 Jan 2015 Yubin Deng, Ping Luo, Chen Change Loy, Xiaoou Tang

Learning to recognize pedestrian attributes at far distance is a challenging problem in visual surveillance since face and body close-shots are hardly available; instead, only far-view image frames of pedestrian are given.

Informativeness

Image Super-Resolution Using Deep Convolutional Networks

54 code implementations31 Dec 2014 Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang

We further show that traditional sparse-coding-based SR methods can also be viewed as a deep convolutional network.

Image Super-Resolution Video Super-Resolution

Zeta Hull Pursuits: Learning Nonconvex Data Hulls

no code implementations NeurIPS 2014 Yuanjun Xiong, Wei Liu, Deli Zhao, Xiaoou Tang

Selecting a small informative subset from a given dataset, also called column sampling, has drawn much attention in machine learning.

Image Classification

Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations

no code implementations NeurIPS 2014 Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang

Intriguingly, even without accessing 3D data, human not only can recognize face identity, but can also imagine face images of a person under different viewpoints given a single 2D image, making face perception in the brain robust to view changes.

Face Recognition

Pedestrian Detection aided by Deep Learning Semantic Tasks

no code implementations CVPR 2015 Yonglong Tian, Ping Luo, Xiaogang Wang, Xiaoou Tang

Rather than expensively annotating scene attributes, we transfer attributes information from existing scene segmentation datasets to the pedestrian dataset, by proposing a novel deep model to learn high-level features from multiple tasks and multiple data sources.

Pedestrian Detection Scene Segmentation

Deep Learning Face Attributes in the Wild

1 code implementation ICCV 2015 Ziwei Liu, Ping Luo, Xiaogang Wang, Xiaoou Tang

LNet is pre-trained by massive general object categories for face localization, while ANet is pre-trained by massive face identities for attribute prediction.

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

Transferring Landmark Annotations for Cross-Dataset Face Alignment

no code implementations2 Sep 2014 Shizhan Zhu, Cheng Li, Chen Change Loy, Xiaoou Tang

We show extensive results on combining various popular databases (LFW, AFLW, LFPW, HELEN) for improved cross-dataset and unseen data alignment.

Face Alignment Object Recognition

Homophilic Clustering by Locally Asymmetric Geometry

no code implementations5 Jul 2014 Deli Zhao, Xiaoou Tang

Clustering is indispensable for data analysis in many scientific disciplines.

Deep Learning Multi-View Representation for Face Recognition

no code implementations26 Jun 2014 Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang

Intriguingly, even without accessing 3D data, human not only can recognize face identity, but can also imagine face images of a person under different viewpoints given a single 2D image, making face perception in the brain robust to view changes.

Face Recognition

3D ShapeNets: A Deep Representation for Volumetric Shapes

no code implementations CVPR 2015 Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, Jianxiong Xiao

Our model, 3D ShapeNets, learns the distribution of complex 3D shapes across different object categories and arbitrary poses from raw CAD data, and discovers hierarchical compositional part representations automatically.

Ranked #16 on 3D Point Cloud Classification on ModelNet40 (Mean Accuracy metric)

3D Point Cloud Classification 3D Shape Representation +1

A Learning-to-Rank Approach for Image Color Enhancement

no code implementations CVPR 2014 Jianzhou Yan, Stephen Lin, Sing Bing Kang, Xiaoou Tang

We present a machine-learned ranking approach for automatically enhancing the color of a photograph.

Learning-To-Rank

Deep Learning Face Representation from Predicting 10,000 Classes

no code implementations Conference 2014 Yi Sun, Xiaogang Wang, Xiaoou Tang

When learned as classifiers to recognize about 10, 000 face identities in the training set and configured to keep reducing the neuron numbers along the feature extraction hierarchy, these deep ConvNets gradually form compact identity-related features in the top layers with only a small number of hidden neurons.

Face Identification Face Verification

Recover Canonical-View Faces in the Wild with Deep Neural Networks

no code implementations14 Apr 2014 Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang

Face images in the wild undergo large intra-personal variations, such as poses, illuminations, occlusions, and low resolutions, which cause great challenges to face-related applications.

Face Reconstruction Face Verification

Deep Learning Face Representation from Predicting 10,000 Classes

3 code implementations1 Jan 2014 Yi Sun, Xiaogang Wang, Xiaoou Tang

When learned as classifiers to recognize about 10, 000 face identities in the training set and configured to keep reducing the neuron numbers along the feature extraction hierarchy, these deep ConvNets gradually form compact identity-related features in the top layers with only a small number of hidden neurons.

Face Identification Face Verification

Measuring Crowd Collectiveness

no code implementations CVPR 2013 Bolei Zhou, Xiaoou Tang, Xiaogang Wang

Collective motions are common in crowd systems and have attracted a great deal of attention in a variety of multidisciplinary fields.

Motionlets: Mid-level 3D Parts for Human Motion Recognition

no code implementations CVPR 2013 Li-Min Wang, Yu Qiao, Xiaoou Tang

We postulate three key properties of motionlet for action recognition: high motion saliency, multiple scale representation, and representative-discriminative ability.

Action Recognition

Deep Convolutional Network Cascade for Facial Point Detection

no code implementations CVPR 2013 Yi Sun, Xiaogang Wang, Xiaoou Tang

At each level, the outputs of multiple networks are fused for robust and accurate estimation.

Graph Degree Linkage: Agglomerative Clustering on a Directed Graph

2 code implementations25 Aug 2012 Wei Zhang, Xiaogang Wang, Deli Zhao, Xiaoou Tang

We explore the different roles of two fundamental concepts in graph theory, indegree and outdegree, in the context of clustering.

 Ranked #1 on Image Clustering on Coil-20 (Accuracy metric)

Image Clustering

Cyclizing Clusters via Zeta Function of a Graph

no code implementations NeurIPS 2008 Deli Zhao, Xiaoou Tang

A mathematical tool, Zeta function of a graph, is introduced for the integration of all cycles, leading to a structural descriptor of the cluster in determinantal form.

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