Search Results for author: Fan Yang

Found 123 papers, 40 papers with code

Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction

1 code implementation ECCV 2020 Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li

However, most of their training data is constructed by 3D Morphable Model, whose space spanned is only a small part of the shape space.

3D Face Reconstruction

LODE: Deep Local Deblurring and A New Benchmark

no code implementations19 Sep 2021 Zerun Wang, Liuyu Xiang, Fan Yang, Jinzhao Qian, Jie Hu, Haidong Huang, Jungong Han, Yuchen Guo, Guiguang Ding

While recent deep deblurring algorithms have achieved remarkable progress, most existing methods focus on the global deblurring problem, where the image blur mostly arises from severe camera shake.


Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss

2 code implementations9 Sep 2021 Xing Cheng, Hezheng Lin, Xiangyu Wu, Fan Yang, Dong Shen

In this paper, we propose a multi-stream Corpus Alignment network with single gate Mixture-of-Experts (CAMoE) and a novel Dual Softmax Loss (DSL) to solve the two heterogeneity.

 Ranked #1 on Video Retrieval on MSVD (using extra training data)

Video-Text Retrieval

LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces

no code implementations1 Sep 2021 Shuhan Zhang, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng

A large body of literature has proved that the Bayesian optimization framework is especially efficient and effective in analog circuit synthesis.

Adaptive Label Smoothing To Regularize Large-Scale Graph Training

no code implementations30 Aug 2021 Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

Graph neural networks (GNNs), which learn the node representations by recursively aggregating information from its neighbors, have become a predominant computational tool in many domains.

Node Clustering

Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions

no code implementations30 Aug 2021 Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Guoqi Li, Weisheng Dong, Jianbo Shi

Visual recognition is currently one of the most important and active research areas in computer vision, pattern recognition, and even the general field of artificial intelligence.

Two-step actuarial valuations

no code implementations30 Aug 2021 Karim Barigou, Daniël Linders, Fan Yang

We introduce the class of actuarial-consistent valuation methods for insurance liabilities which depend on both financial and actuarial risks, which imposes that all actuarial risks are priced via standard actuarial principles.

RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting

no code implementations ICCV 2021 Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi

Motion forecasting plays a significant role in various domains (e. g., autonomous driving, human-robot interaction), which aims to predict future motion sequences given a set of historical observations.

Human robot interaction Motion Forecasting +1

Opinion Prediction with User Fingerprinting

1 code implementation31 Jul 2021 Kishore Tumarada, Yifan Zhang, Fan Yang, Eduard Dragut, Omprakash Gnawali, Arjun Mukherjee

Experimental results show novel insights that were previously unknown such as better predictions for an increase in dynamic history length, the impact of the nature of the article on performance, thereby laying the foundation for further research.

Sentiment Analysis Time Series

An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis

no code implementations28 Jun 2021 Shuhan Zhang, Fan Yang, Dian Zhou, Xuan Zeng

A new strategy is proposed to better balance the exploration and exploitation and guarantee the diversity of the query points.

An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble

no code implementations28 Jun 2021 Shuhan Zhang, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng

After achieving the first feasible point, we favor the feasible region by adopting a specially designed penalization term to the acquisition function ensemble.

A Scalable 256-Elements E-Band Phased-Array Transceiver for Broadband Communication

no code implementations20 Jun 2021 Xu Li, Wenyao Zhai, Morris Repeta, Hua Cai, Tyler Ross, Kimia Ansari, Sam Tiller, Hari Krishna Pothula, Dong Liang, Fan Yang, Yibo Lyu, Songlin Shuai, Guangjian Wang, Wen Tong

For E-band wireless communications, a high gain steerable antenna with sub-arrays is desired to reduce the implementation complexity.

Probabilistic Model Distillation for Semantic Correspondence

1 code implementation CVPR 2021 Xin Li, Deng-Ping Fan, Fan Yang, Ao Luo, Hong Cheng, Zicheng Liu

We address this problem with the use of a novel Probabilistic Model Distillation (PMD) approach which transfers knowledge learned by a probabilistic teacher model on synthetic data to a static student model with the use of unlabeled real image pairs.

Model distillation Representation Learning +1

Model-Based Counterfactual Synthesizer for Interpretation

no code implementations16 Jun 2021 Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu

To address these limitations, we propose a Model-based Counterfactual Synthesizer (MCS) framework for interpreting machine learning models.

From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding

no code implementations ACL 2021 Shan Wu, Bo Chen, Chunlei Xin, Xianpei Han, Le Sun, Weipeng Zhang, Jiansong Chen, Fan Yang, Xunliang Cai

During synchronous decoding: the utterance paraphrasing is constrained by the structure of the logical form, therefore the canonical utterance can be paraphrased controlledly; the semantic decoding is guided by the semantics of the canonical utterance, therefore its logical form can be generated unsupervisedly.

Unsupervised semantic parsing

MST: Masked Self-Supervised Transformer for Visual Representation

no code implementations10 Jun 2021 Zhaowen Li, Zhiyang Chen, Fan Yang, Wei Li, Yousong Zhu, Chaoyang Zhao, Rui Deng, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang

More importantly, the masked tokens together with the remaining tokens are further recovered by a global image decoder, which preserves the spatial information of the image and is more friendly to the downstream dense prediction tasks.

Language Modelling Object Detection +1

CAT: Cross Attention in Vision Transformer

1 code implementation10 Jun 2021 Hezheng Lin, Xing Cheng, Xiangyu Wu, Fan Yang, Dong Shen, Zhongyuan Wang, Qing Song, Wei Yuan

In this paper, we propose a new attention mechanism in Transformer termed Cross Attention, which alternates attention inner the image patch instead of the whole image to capture local information and apply attention between image patches which are divided from single-channel feature maps capture global information.


Calibrating multi-dimensional complex ODE from noisy data via deep neural networks

no code implementations7 Jun 2021 Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang, Zuofeng Shang

Our method is able to recover the ODE system without being subject to the curse of dimensionality and complicated ODE structure.

ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale

1 code implementation18 May 2021 Yuanming Li, Huaizheng Zhang, Shanshan Jiang, Fan Yang, Yonggang Wen, Yong Luo

AI engineering has emerged as a crucial discipline to democratize deep neural network (DNN) models among software developers with a diverse background.

CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changes

no code implementations CVPR 2021 Fan Yang, Guosheng Lin

Garment transfer shows great potential in realistic applications with the goal of transfering outfits across different people images.

GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

1 code implementation30 Apr 2021 Chenfei Wu, Lun Huang, Qianxi Zhang, Binyang Li, Lei Ji, Fan Yang, Guillermo Sapiro, Nan Duan

Generating videos from text is a challenging task due to its high computational requirements for training and infinite possible answers for evaluation.

Video Generation

Mutual Graph Learning for Camouflaged Object Detection

1 code implementation CVPR 2021 Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan

Automatically detecting/segmenting object(s) that blend in with their surroundings is difficult for current models.

Graph Learning Object Detection

Superresolving second-order correlation imaging using synthesized colored noise speckles

no code implementations11 Feb 2021 Zheng Li, Xiaoyu Nie, Fan Yang, Xiangpei Liu, Dongyu Liu, Xiaolong Dong, Xingchen Zhao, Tao Peng, M. Suhail Zubairy, Marlan O. Scully

We present a novel method to synthesize non-trivial speckles that can enable superresolving second-order correlation imaging.

Optics Image and Video Processing

Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences

1 code implementation31 Jan 2021 Zhi Chen, Fan Yang, Wenbing Tao

We then propose a hybrid attention block to extract feature, which integrates the Bayesian attentive context normalization (BACN) and channel-wise attention (CA).

Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation

no code implementations18 Jan 2021 Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu

With the wide use of deep neural networks (DNN), model interpretability has become a critical concern, since explainable decisions are preferred in high-stake scenarios.

Possible evidence of hydrogen emission in the first-overtone and multi-mode RR Lyrae variables

no code implementations24 Dec 2020 Xiao-Wei Duan, Xiao-Dian Chen, Li-Cai Deng, Fan Yang, Chao Liu, Anupam Bhardwaj, Hua-Wei Zhang

The nature of shock waves in non-fundamental mode RR Lyrae stars remains a mystery because of limited spectroscopic observations.

Solar and Stellar Astrophysics

A Polynomial Roth Theorem for Corners in Finite Fields

no code implementations21 Dec 2020 Rui Han, Michael T Lacey, Fan Yang

We prove a Roth type theorem for polynomial corners in the finite field setting.

Classical Analysis and ODEs Combinatorics Number Theory

Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems

no code implementations21 Dec 2020 Yunmo Chen, Sixing Lu, Fan Yang, Xiaojiang Huang, Xing Fan, Chenlei Guo

Query rewriting (QR) systems are widely used to reduce the friction caused by errors in a spoken language understanding pipeline.

Data Augmentation Spoken Language Understanding +1

Bayesian Multi-type Mean Field Multi-agent Imitation Learning

no code implementations NeurIPS 2020 Fan Yang, Alina Vereshchaka, Changyou Chen, Wen Dong

We demonstrate the performance of our algorithm through benchmarking with three state-of-the-art multi-agent imitation learning algorithms on several tasks, including solving a multi-agent traffic optimization problem in a real-world transportation network.

Imitation Learning

Fault-Aware Robust Control via Adversarial Reinforcement Learning

no code implementations17 Nov 2020 Fan Yang, Chao Yang, Di Guo, Huaping Liu, Fuchun Sun

Robots have limited adaptation ability compared to humans and animals in the case of damage.

PAMS: Quantized Super-Resolution via Parameterized Max Scale

1 code implementation ECCV 2020 Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji

Specifically, most state-of-the-art SR models without batch normalization have a large dynamic quantization range, which also serves as another cause of performance drop.

Quantization Super-Resolution +1

Analysis of Information Transfer from Heterogeneous Sources via Precise High-dimensional Asymptotics

no code implementations22 Oct 2020 Fan Yang, Hongyang R. Zhang, Sen Wu, Weijie J. Su, Christopher Ré

A fundamental question in transfer learning is whether combining the data of both tasks works better than using only the target task's data (equivalently, whether a "positive information transfer" happens).

Multi-Task Learning Text Classification

Linear-time Temporal Logic with Team Semantics: Expressivity and Complexity

no code implementations7 Oct 2020 Jonni Virtema, Jana Hofmann, Bernd Finkbeiner, Juha Kontinen, Fan Yang

Logics for hyperproperties have so far been mostly obtained by extending temporal logics like LTL and QPTL with trace quantification, resulting in HyperLTL and HyperQPTL.

Logic in Computer Science Computational Complexity

Towards Fast, Accurate and Stable 3D Dense Face Alignment

2 code implementations ECCV 2020 Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li

Firstly, on the basis of a lightweight backbone, we propose a meta-joint optimization strategy to dynamically regress a small set of 3DMM parameters, which greatly enhances speed and accuracy simultaneously.

3D FACE MODELING 3D Face Reconstruction +2

RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning

2 code implementations14 Sep 2020 Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo

Despite the remarkable successes of Convolutional Neural Networks (CNNs) in computer vision, it is time-consuming and error-prone to manually design a CNN.

Keypoint Detection Neural Architecture Search +2

LaSOT: A High-quality Large-scale Single Object Tracking Benchmark

1 code implementation8 Sep 2020 Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling

The average video length of LaSOT is around 2, 500 frames, where each video contains various challenge factors that exist in real world video footage, such as the targets disappearing and re-appearing.

Object Tracking Visual Tracking

Cascade Graph Neural Networks for RGB-D Salient Object Detection

1 code implementation ECCV 2020 Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu

Current works either simply distill prior knowledge from the corresponding depth map for handling the RGB-image or blindly fuse color and geometric information to generate the coarse depth-aware representations, hindering the performance of RGB-D saliency detectors. In this work, we introduceCascade Graph Neural Networks(Cas-Gnn), a unified framework which is capable of comprehensively distilling and reasoning the mutual benefits between these two data sources through a set of cascade graphs, to learn powerful representations for RGB-D salient object detection.

RGB-D Salient Object Detection RGB Salient Object Detection +1

PIC-Net: Point Cloud and Image Collaboration Network for Large-Scale Place Recognition

no code implementations3 Aug 2020 Yuheng Lu, Fan Yang, Fangping Chen, Don Xie

Place recognition is one of the hot research fields in automation technology and is still an open issue, Camera and Lidar are two mainstream sensors used in this task, Camera-based methods are easily affected by illumination and season changes, LIDAR cannot get the rich data as the image could , In this paper, we propose the PIC-Net (Point cloud and Image Collaboration Network), which use attention mechanism to fuse the features of image and point cloud, and mine the complementary information between the two.

Cascade Network with Guided Loss and Hybrid Attention for Two-view Geometry

no code implementations11 Jul 2020 Zhi Chen, Fan Yang, Wenbing Tao

We then propose a hybrid attention block to extract feature, which integrates the bayesian attentive context normalization (BACN) and channel-wise attention (CA).

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks

1 code implementation15 Jun 2020 Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu

In this paper, we investigate a specific security problem called trojan attack, which aims to attack deployed DNN systems relying on the hidden trigger patterns inserted by malicious hackers.

Defending SVMs against Poisoning Attacks: the Hardness and DBSCAN Approach

no code implementations14 Jun 2020 Hu Ding, Fan Yang, Jiawei Huang

For the data sanitization defense, we link it to the intrinsic dimensionality of data; in particular, we provide a sampling theorem in doubling metrics for explaining the effectiveness of DBSCAN (as a density-based outlier removal method) for defending against poisoning attacks.

MSDU-net: A Multi-Scale Dilated U-net for Blur Detection

no code implementations5 Jun 2020 Fan Yang, Xiao Xiao

Blur detection is the separation of blurred and clear regions of an image, which is an important and challenging task in computer vision.

Semantic Segmentation

Acme: A Research Framework for Distributed Reinforcement Learning

2 code implementations1 Jun 2020 Matt Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Feryal Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Alex Novikov, Sergio Gómez Colmenarejo, Serkan Cabi, Caglar Gulcehre, Tom Le Paine, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas

Ultimately, we show that the design decisions behind Acme lead to agents that can be scaled both up and down and that, for the most part, greater levels of parallelization result in agents with equivalent performance, just faster.

DQN Replay Dataset

Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild

no code implementations7 Apr 2020 Zhecan Wang, Jian Zhao, Cheng Lu, Han Huang, Fan Yang, Lianji Li, Yandong Guo

To better demonstrate the advantage of our methods, we further propose a new benchmark dataset with the most rich distribution of head-gaze combination reflecting real-world scenarios.

Gaze Estimation

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

2 code implementations3 Apr 2020 Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou

In this paper, we introduce XGLUE, a new benchmark dataset that can be used to train large-scale cross-lingual pre-trained models using multilingual and bilingual corpora and evaluate their performance across a diverse set of cross-lingual tasks.

Natural Language Understanding

EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning

no code implementations NeurIPS 2020 Jiachen Li, Fan Yang, Masayoshi Tomizuka, Chiho Choi

In this paper, we propose a generic trajectory forecasting framework (named EvolveGraph) with explicit relational structure recognition and prediction via latent interaction graphs among multiple heterogeneous, interactive agents.

Autonomous Driving Decision Making +2

Hybrid Graph Neural Networks for Crowd Counting

no code implementations31 Jan 2020 Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng

In this paper, we present a novel network structure called Hybrid Graph Neural Network (HyGnn) which targets to relieve the problem by interweaving the multi-scale features for crowd density as well as its auxiliary task (localization) together and performing joint reasoning over a graph.

Crowd Counting

Tricritical physics in two-dimensional $p$-wave superfluids

no code implementations16 Jan 2020 Fan Yang, Shao-Jian Jiang, Fei Zhou

When strong quantum fluctuations near resonance are taken into account, the line of continuous phase transitions terminates at two multicritical points near resonance, between which the transitions are expected to be first-order ones.

Quantum Gases

Relational State-Space Model for Stochastic Multi-Object Systems

no code implementations ICLR 2020 Fan Yang, Ling Chen, Fan Zhou, Yusong Gao, Wei Cao

Real-world dynamical systems often consist of multiple stochastic subsystems that interact with each other.

Time Series

Game Design for Eliciting Distinguishable Behavior

no code implementations NeurIPS 2019 Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom Mitchell

The ability to inferring latent psychological traits from human behavior is key to developing personalized human-interacting machine learning systems.

Dually Supervised Feature Pyramid for Object Detection and Segmentation

1 code implementation8 Dec 2019 Fan Yang, Cheng Lu, Yandong Guo, Longin Jan Latecki, Haibin Ling

Feature pyramid architecture has been broadly adopted in object detection and segmentation to deal with multi-scale problem.

Object Detection

Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network

no code implementations1 Dec 2019 Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng

Bayesian optimization with Gaussian process as surrogate model has been successfully applied to analog circuit synthesis.

Detecting Unknown Behaviors by Pre-defined Behaviours: An Bayesian Non-parametric Approach

no code implementations25 Nov 2019 Jin Watanabe, Takatomi Kubo, Fan Yang, Kazushi Ikeda

An automatic mouse behavior recognition system can considerably reduce the workload of experimenters and facilitate the analysis process.

Using Panoramic Videos for Multi-person Localization and Tracking in a 3D Panoramic Coordinate

1 code implementation24 Nov 2019 Fan Yang, Feiran Li, Yang Wu, Sakriani Sakti, Satoshi Nakamura

3D panoramic multi-person localization and tracking are prominent in many applications, however, conventional methods using LiDAR equipment could be economically expensive and also computationally inefficient due to the processing of point cloud data.

TracKlinic: Diagnosis of Challenge Factors in Visual Tracking

no code implementations18 Nov 2019 Heng Fan, Fan Yang, Peng Chu, Lin Yuan, Haibin Ling

For the analysis component, given the tracking results on all sequences, it investigates the behavior of the tracker under each individual factor and generates the report automatically.

Visual Tracking

XDeep: An Interpretation Tool for Deep Neural Networks

1 code implementation4 Nov 2019 Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu

XDeep is an open-source Python package developed to interpret deep models for both practitioners and researchers.

A Hierarchical Mixture Density Network

no code implementations23 Oct 2019 Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda

One of the complicated relationships among three correlated variables could be a two-layer hierarchical many-to-many mapping.

TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation

no code implementations14 Oct 2019 Fan Yang, Xiao Liu, Dongliang He, Chuang Gan, Jian Wang, Chao Li, Fu Li, Shilei Wen

In this work, we introduce a new problem, named as {\em story-preserving long video truncation}, that requires an algorithm to automatically truncate a long-duration video into multiple short and attractive sub-videos with each one containing an unbroken story.

Video Summarization

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

7 code implementations3 Oct 2019 Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu

Recently, increasing attention has been drawn to the internal mechanisms of convolutional neural networks, and the reason why the network makes specific decisions.

Adversarial Attack Decision Making +1

Contextual Local Explanation for Black Box Classifiers

no code implementations2 Oct 2019 Zijian Zhang, Fan Yang, Haofan Wang, Xia Hu

We introduce a new model-agnostic explanation technique which explains the prediction of any classifier called CLE.

General Classification Image Classification

GLA-Net: An Attention Network with Guided Loss for Mismatch Removal

no code implementations28 Sep 2019 Zhi Chen, Fan Yang, Wenbing Tao

To establish the link between Fn-score and loss, we propose to guide the loss with the Fn-score directly.

Fairness in Deep Learning: A Computational Perspective

no code implementations23 Aug 2019 Mengnan Du, Fan Yang, Na Zou, Xia Hu

Deep learning is increasingly being used in high-stake decision making applications that affect individual lives.

Decision Making Fairness

Learning Credible Deep Neural Networks with Rationale Regularization

no code implementations13 Aug 2019 Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu

Recent explainability related studies have shown that state-of-the-art DNNs do not always adopt correct evidences to make decisions.

Text Classification

Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images

no code implementations26 Jul 2019 Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang

Segmenting coronary arteries is challenging, as classic unsupervised methods fail to produce satisfactory results and modern supervised learning (deep learning) requires manual annotation which is often time-consuming and can some time be infeasible.

Transfer Learning

Make Skeleton-based Action Recognition Model Smaller, Faster and Better

2 code implementations arXiv 2019 Fan Yang, Sakriani Sakti, Yang Wu, Satoshi Nakamura

Although skeleton-based action recognition has achieved great success in recent years, most of the existing methods may suffer from a large model size and slow execution speed.

Action Recognition Skeleton Based Action Recognition

Evaluating Explanation Without Ground Truth in Interpretable Machine Learning

no code implementations16 Jul 2019 Fan Yang, Mengnan Du, Xia Hu

Interpretable Machine Learning (IML) has become increasingly important in many real-world applications, such as autonomous cars and medical diagnosis, where explanations are significantly preferred to help people better understand how machine learning systems work and further enhance their trust towards systems.

Interpretable Machine Learning Medical Diagnosis

XFake: Explainable Fake News Detector with Visualizations

no code implementations8 Jul 2019 Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia Hu

In this demo paper, we present the XFake system, an explainable fake news detector that assists end-users to identify news credibility.

Reconstructing Perceived Images from Brain Activity by Visually-guided Cognitive Representation and Adversarial Learning

no code implementations27 Jun 2019 Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao

In addition, we introduce a novel three-stage learning approach which enables the (cognitive) encoder to gradually distill useful knowledge from the paired (visual) encoder during the learning process.

Image Reconstruction Knowledge Distillation +1

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching

1 code implementation2 Jun 2019 Hao Wang, Qilong Wang, Fan Yang, Weiqi Zhang, WangMeng Zuo

For guiding our IS to obtain better object performance, we explore issues of instance imbalance and class importance in datasets, which frequently occur and bring adverse effect on detection performance.

Data Augmentation Instance Segmentation +1

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation

no code implementations21 May 2019 Xuhua Ren, Lichi Zhang, Sahar Ahmad, Dong Nie, Fan Yang, Lei Xiang, Qian Wang, Dinggang Shen

In this paper, we propose to decompose the single segmentation task into three subsequent sub-tasks, including (1) pixel-wise image segmentation, (2) prediction of the class labels of the objects within the image, and (3) classification of the scene the image belonging to.

Brain Tumor Segmentation Scene Segmentation +1

Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process

no code implementations7 May 2019 Wen Dong, Bo Liu, Fan Yang

However, such real-world complex system control is difficult to achieve because of high-dimensional and non-linear system dynamics, and the exploding state and action spaces for the decision maker.

Decision Making Variational Inference

Clustered Object Detection in Aerial Images

1 code implementation ICCV 2019 Fan Yang, Heng Fan, Peng Chu, Erik Blasch, Haibin Ling

The key components in ClusDet include a cluster proposal sub-network (CPNet), a scale estimation sub-network (ScaleNet), and a dedicated detection network (DetecNet).

Object Detection In Aerial Images

On Attribution of Recurrent Neural Network Predictions via Additive Decomposition

no code implementations27 Mar 2019 Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu

REAT decomposes the final prediction of a RNN into additive contribution of each word in the input text.

Decision Making

Low-bit Quantization of Neural Networks for Efficient Inference

no code implementations18 Feb 2019 Yoni Choukroun, Eli Kravchik, Fan Yang, Pavel Kisilev

Recent machine learning methods use increasingly large deep neural networks to achieve state of the art results in various tasks.


Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

1 code implementation18 Jan 2019 Fan Yang, Lei Zhang, Sijia Yu, Danil Prokhorov, Xue Mei, Haibin Ling

To demonstrate the superiority and generality of the proposed method, we evaluate the proposed method on five crack datasets and compare it with state-of-the-art crack detection, edge detection, semantic segmentation methods.

Edge Detection Semantic Segmentation

Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads

1 code implementation17 Jan 2019 Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang

With widespread advances in machine learning, a number of large enterprises are beginning to incorporate machine learning models across a number of products.

Distributed, Parallel, and Cluster Computing

Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing

2 code implementations27 Nov 2018 Fan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin'ichi Satoh

Diffusion is commonly used as a ranking or re-ranking method in retrieval tasks to achieve higher retrieval performance, and has attracted lots of attention in recent years.

Image Retrieval Re-Ranking

Attention Driven Person Re-identification

no code implementations13 Oct 2018 Fan Yang, Ke Yan, Shijian Lu, Huizhu Jia, Xiaodong Xie, Wen Gao

Person re-identification (ReID) is a challenging task due to arbitrary human pose variations, background clutters, etc.

Person Re-Identification

Contour Knowledge Transfer for Salient Object Detection

1 code implementation ECCV 2018 Xin Li, Fan Yang, Hong Cheng, Wei Liu, Dinggang Shen

Our goal is to overcome this limitation by automatically converting an existing deep contour detection model into a salient object detection model without using any manual salient object masks.

Contour Detection RGB Salient Object Detection +2

Using Randomness to Improve Robustness of Machine-Learning Models Against Evasion Attacks

no code implementations10 Aug 2018 Fan Yang, ZhiYuan Chen

Machine learning models have been widely used in security applications such as intrusion detection, spam filtering, and virus or malware detection.

Intrusion Detection Malware Detection

Attending Sentences to detect Satirical Fake News

no code implementations COLING 2018 Sohan De Sarkar, Fan Yang, Arjun Mukherjee

Satirical news detection is important in order to prevent the spread of misinformation over the Internet.

Document-level Misinformation +2

Adversarial Learning for Fine-grained Image Search

no code implementations6 Jul 2018 Kevin Lin, Fan Yang, Qiaosong Wang, Robinson Piramuthu

Fine-grained image search is still a challenging problem due to the difficulty in capturing subtle differences regardless of pose variations of objects from fine-grained categories.

Image Retrieval

Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design

1 code implementation ICML 2018 Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng

In each iteration, the multi-objective optimization of the multiple acquisition functions is performed to search for the Pareto front of the acquisition functions.

Privacy-Protective-GAN for Face De-identification

no code implementations23 Jun 2018 Yifan Wu, Fan Yang, Haibin Ling

In this paper, we propose a new framework called Privacy-Protective-GAN (PP-GAN) that adapts GAN with novel verificator and regulator modules specially designed for the face de-identification problem to ensure generating de-identified output with retained structure similarity according to a single input.

De-identification Face Recognition

Large-scale Bisample Learning on ID Versus Spot Face Recognition

no code implementations8 Jun 2018 Xiangyu Zhu, Hao liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Guo-Jun Qi, Stan Z. Li

In this paper, we propose a deep learning based large-scale bisample learning (LBL) method for IvS face recognition.

Face Recognition General Classification

Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese Bi-GRU for Multiple Object Tracking

no code implementations12 Apr 2018 Cong Ma, Changshui Yang, Fan Yang, Yueqing Zhuang, Ziwei Zhang, Huizhu Jia, Xiaodong Xie

In this paper, we propose a novel tracklet processing method to cleave and re-connect tracklets on crowd or long-term occlusion by Siamese Bi-Gated Recurrent Unit (GRU).

Autonomous Driving Multi-Object Tracking +1


no code implementations ICLR 2018 Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao

Existing end-to-end deep QA models (Miller et al., 2016; Weston et al., 2014) need to read the entire text after observing the question, and therefore their complexity in responding a question is linear in the text size.

Language Modelling Latent Variable Models +2

Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems

1 code implementation NeurIPS 2017 Le Fang, Fan Yang, Wen Dong, Tong Guan, Chunming Qiao

Technological breakthroughs allow us to collect data with increasing spatio-temporal resolution from complex interaction systems.

Learning to Organize Knowledge and Answer Questions with N-Gram Machines

no code implementations17 Nov 2017 Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao

Though deep neural networks have great success in natural language processing, they are limited at more knowledge intensive AI tasks, such as open-domain Question Answering (QA).

Open-Domain Question Answering

Towards the Success Rate of One: Real-time Unconstrained Salient Object Detection

no code implementations31 Jul 2017 Mahyar Najibi, Fan Yang, Qiaosong Wang, Robinson Piramuthu

In this work, we propose an efficient and effective approach for unconstrained salient object detection in images using deep convolutional neural networks.

RGB Salient Object Detection Salient Object Detection

TensorLog: Deep Learning Meets Probabilistic DBs

no code implementations17 Jul 2017 William W. Cohen, Fan Yang, Kathryn Rivard Mazaitis

We present an implementation of a probabilistic first-order logic called TensorLog, in which classes of logical queries are compiled into differentiable functions in a neural-network infrastructure such as Tensorflow or Theano.

Object-Aware Dense Semantic Correspondence

no code implementations CVPR 2017 Fan Yang, Xin Li, Hong Cheng, Jianping Li, Leiting Chen

To address these problems, this paper proposes an object-aware method to estimate per-pixel correspondences from semantic to low-level by learning a classifier for each selected discriminative grid cell and guiding the localization of every pixel under the semantic constraint.

Semantic correspondence

Visual Search at eBay

no code implementations10 Jun 2017 Fan Yang, Ajinkya Kale, Yury Bubnov, Leon Stein, Qiaosong Wang, Hadi Kiapour, Robinson Piramuthu

We harness the availability of large image collection of eBay listings and state-of-the-art deep learning techniques to perform visual search at scale.

Good Semi-supervised Learning that Requires a Bad GAN

1 code implementation NeurIPS 2017 Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov

Semi-supervised learning methods based on generative adversarial networks (GANs) obtained strong empirical results, but it is not clear 1) how the discriminator benefits from joint training with a generator, and 2) why good semi-supervised classification performance and a good generator cannot be obtained at the same time.

General Classification Semi-Supervised Image Classification

Differentiable Learning of Logical Rules for Knowledge Base Reasoning

1 code implementation NeurIPS 2017 Fan Yang, Zhilin Yang, William W. Cohen

We propose a framework, Neural Logic Programming, that combines the parameter and structure learning of first-order logical rules in an end-to-end differentiable model.

Leveraging Multiple Domains for Sentiment Classification

no code implementations COLING 2016 Fan Yang, Arjun Mukherjee, Yifan Zhang

In addition, the learned feature representation can be used as classifier since our model defines the meaning of feature value and arranges high-level features in a prefixed order, so it is not necessary to train another classifier on top of the new features.

Classification Domain Adaptation +3

Exploit All the Layers: Fast and Accurate CNN Object Detector With Scale Dependent Pooling and Cascaded Rejection Classifiers

no code implementations CVPR 2016 Fan Yang, Wongun Choi, Yuanqing Lin

In this paper, we investigate two new strategies to detect objects accurately and efficiently using deep convolutional neural network: 1) scale-dependent pooling and 2) layer-wise cascaded rejection classifiers.

Object Detection

Multi-Task Learning With Low Rank Attribute Embedding for Person Re-Identification

no code implementations ICCV 2015 Chi Su, Fan Yang, Shiliang Zhang, Qi Tian, Larry S. Davis, Wen Gao

Since attributes are generally correlated, we introduce a low rank attribute embedding into the MTL formulation to embed original binary attributes to a continuous attribute space, where incorrect and incomplete attributes are rectified and recovered to better describe people.

Multi-Task Learning Person Re-Identification

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