Search Results for author: Yi Li

Found 77 papers, 19 papers with code

BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning

1 code implementation ICCV 2021 Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos

A dataset of crowd scenes with people annotations under a bird's eye view (BEV) and ground truth for metric distances is introduced, and several measures for the evaluation of social distance detection systems are proposed.

Pose Estimation

Pseudo-mask Matters in Weakly-supervised Semantic Segmentation

1 code implementation ICCV 2021 Yi Li, Zhanghui Kuang, Liyang Liu, Yimin Chen, Wayne Zhang

For these matters, we propose the following designs to push the performance to new state-of-art: (i) Coefficient of Variation Smoothing to smooth the CAMs adaptively; (ii) Proportional Pseudo-mask Generation to project the expanded CAMs to pseudo-mask based on a new metric indicating the importance of each class on each location, instead of the scores trained from binary classifiers.

Weakly-Supervised Semantic Segmentation

Learning to Cluster via Same-Cluster Queries

no code implementations17 Aug 2021 Yi Li, Yan Song, Qin Zhang

We study the problem of learning to cluster data points using an oracle which can answer same-cluster queries.

Inference for High Dimensional Censored Quantile Regression

1 code implementation22 Jul 2021 Zhe Fei, Qi Zheng, Hyokyoung G. Hong, Yi Li

To our knowledge, there is little work available to draw inference on the effects of high dimensional predictors for censored quantile regression.

Epidemiology Variable Selection

Single Pass Entrywise-Transformed Low Rank Approximation

no code implementations16 Jul 2021 Yifei Jiang, Yi Li, Yiming Sun, Jiaxin Wang, David P. Woodruff

A natural way to do this would be to simply apply $f$ to each entry of $A$, and then compute the matrix decomposition, but this requires storing all of $A$ as well as multiple passes over its entries.

Deep-learning-based Hyperspectral imaging through a RGB camera

no code implementations12 Jul 2021 Xinyu Gao, Tianlang Wang, Jing Yang, Jinchao Tao, Yanqing Qiu, Yanlong Meng, Banging Mao, Pengwei Zhou, Yi Li

Hyperspectral image (HSI) contains both spatial pattern and spectral information which has been widely used in food safety, remote sensing, and medical detection.

Cross-Lingual Adaptation for Type Inference

no code implementations1 Jul 2021 Zhiming Li, Xiaofei Xie, Haoliang Li, Zhengzi Xu, Yi Li, Yang Liu

In this paper, we propose cross-lingual adaptation of program analysis, which allows us to leverage prior knowledge learned from the labeled dataset of one language and transfer it to the others.

Code Summarization Cross-Lingual Transfer +2

Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors

no code implementations20 May 2021 Jingyi Zhang, Huolan Zhu, Yongkai Chen, Chenguang Yang, Huimin Cheng, Yi Li, Wenxuan Zhong, Fang Wang

Background: Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate.


Learning-Augmented Sketches for Hessians

no code implementations24 Feb 2021 Yi Li, Honghao Lin, David P. Woodruff

We show how to design learned sketches for the Hessian in the context of second order methods.

Dimensionality Reduction

Growth and site-specific organization of micron-scale biomolecular devices on living mammalian cells

no code implementations19 Jan 2021 Sisi Jia, Siew Cheng Phua, Yuta Nihongaki, Yizeng Li, Michael Pacella, Yi Li, Abdul M. Mohammed, Sean Sun, Takanari Inoue, Rebecca Schulman

Mesoscale molecular assemblies on the cell surface, such as cilia and filopodia, integrate information, control transport and amplify signals.

Learning Discrete Adaptive Receptive Fields for Graph Convolutional Networks

no code implementations1 Jan 2021 Xiaojun Ma, Ziyao Li, Lingjun Xu, Guojie Song, Yi Li, Chuan Shi

To address this weakness, we introduce a novel framework of conducting graph convolutions, where nodes are discretely selected among multi-hop neighborhoods to construct adaptive receptive fields (ARFs).

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries

no code implementations31 Dec 2020 Kailong Liu, Xiaosong Hu, Zhongbao Wei, Yi Li, Yan Jiang

Experimental results demonstrate that the modified Gaussian process regression model considering the battery electrochemical and empirical ageing signature outperforms other counterparts and is able to achieve satisfactory results for both one-step and multi-step predictions.

Anomalous Hall and Nernst Effects in FeRh

no code implementations28 Dec 2020 Hilal Saglam, Changjiang Liu, Yi Li, Joseph Sklenar, Jonathan Gibbons, Deshun Hong, Vedat Karakas, John E. Pearson, Ozhan Ozatay, Wei zhang, Anand Bhattacharya, Axel Hoffmann

Antiferromagnets with tunable phase transitions are promising for future spintronics applications.

Materials Science

Comments on large central charge $T\bar{T}$ deformed conformal field theory and cutoff AdS holography

no code implementations28 Dec 2020 Yi Li

For a modified version of cutoff AdS holography which is supposed to work only in the sector of classical pure gravity, we show that the flow equation of the metric and one point function of energy-momentum tensor in $T\bar{T}$ deformation corresponds to the flow equation of the boundary metric and Brown-York tensor on a cutoff surface in AdS space as the cutoff surface moves in the direction of normal geodesics.

High Energy Physics - Theory

Robust Flat Bands with Tunable Energies in Honeycomb Superlattices

no code implementations14 Dec 2020 Zihao Qi, Eric Bobrow, Yi Li

Flat bands in lattice models have provided useful platforms for studying strong correlation and topological physics.

Mesoscale and Nanoscale Physics Strongly Correlated Electrons

Distinguishing limit of Bell states for any $n$-photon $D$-dimensional hyperentanglement

no code implementations26 Nov 2020 Chunzhen Li, Yi Li, Yongnan Li

There is a maximum number of distinguished Bell states, i. e. distinguising limit which is very important for increasing the channel capacity of quantum communications.

Quantum Physics

Lets Play Music: Audio-driven Performance Video Generation

no code implementations5 Nov 2020 Hao Zhu, Yi Li, Feixia Zhu, Aihua Zheng, Ran He

We propose a new task named Audio-driven Per-formance Video Generation (APVG), which aims to synthesizethe video of a person playing a certain instrument guided bya given music audio clip.

Video Generation

Learning Representations from Audio-Visual Spatial Alignment

no code implementations NeurIPS 2020 Pedro Morgado, Yi Li, Nuno Vasconcelos

To learn from these spatial cues, we tasked a network to perform contrastive audio-visual spatial alignment of 360{\deg} video and spatial audio.

Action Recognition Representation Learning +2

An Adversarial Attack Defending System for Securing In-Vehicle Networks

no code implementations25 Aug 2020 Yi Li, Jing Lin, Kaiqi Xiong

In a modern vehicle, there are over seventy Electronics Control Units (ECUs).

Adversarial Attack

Streaming Complexity of SVMs

no code implementations7 Jul 2020 Alexandr Andoni, Collin Burns, Yi Li, Sepideh Mahabadi, David P. Woodruff

We show that, for both problems, for dimensions $d=1, 2$, one can obtain streaming algorithms with space polynomially smaller than $\frac{1}{\lambda\epsilon}$, which is the complexity of SGD for strongly convex functions like the bias-regularized SVM, and which is known to be tight in general, even for $d=1$.

Graph Structural-topic Neural Network

1 code implementation25 Jun 2020 Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei. Lin

Specifically, we build topic models upon graphs using anonymous walks and Graph Anchor LDA, an LDA variant that selects significant structural patterns first, so as to alleviate the complexity and generate structural topics efficiently.

Topic Models

Nearly Linear Row Sampling Algorithm for Quantile Regression

no code implementations ICML 2020 Yi Li, Ruosong Wang, Lin Yang, Hanrui Zhang

We give a row sampling algorithm for the quantile loss function with sample complexity nearly linear in the dimensionality of the data, improving upon the previous best algorithm whose sampling complexity has at least cubic dependence on the dimensionality.

Background Data Resampling for Outlier-Aware Classification

1 code implementation CVPR 2020 Yi Li, Nuno Vasconcelos

The problem of learning an image classifier that allows detection of out-of-distribution (OOD) examples, with the help of auxiliary background datasets, is studied.

Classification General Classification

Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling

1 code implementation29 May 2020 Wenwu Ye, Jin Yao, Hui Xue, Yi Li

Localizing thoracic diseases on chest X-ray plays a critical role in clinical practices such as diagnosis and treatment planning.

Learning-Augmented Data Stream Algorithms

no code implementations ICLR 2020 Tanqiu Jiang, Yi Li, Honghao Lin, Yisong Ruan, David P. Woodruff

For estimating the $p$-th frequency moment for $0 < p < 2$ we obtain the first algorithms with optimal update time.

Cosmetic-Aware Makeup Cleanser

no code implementations20 Apr 2020 Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan

Face verification aims at determining whether a pair of face images belongs to the same identity.

Face Parsing Face Verification +1

Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection

1 code implementation27 Mar 2020 Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxin Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia

In this paper, we formulate the task of differentiating viral pneumonia from non-viral pneumonia and healthy controls into an one-class classification-based anomaly detection problem, and thus propose the confidence-aware anomaly detection (CAAD) model, which consists of a shared feature extractor, an anomaly detection module, and a confidence prediction module.

Anomaly Detection Classification +1

Informative Sample Mining Network for Multi-Domain Image-to-Image Translation

no code implementations ECCV 2020 Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun

The performance of multi-domain image-to-image translation has been significantly improved by recent progress in deep generative models.

Image-to-Image Translation Translation

Evolving ab initio trading strategies in heterogeneous environments

1 code implementation19 Dec 2019 David Rushing Dewhurst, Yi Li, Alexander Bogdan, Jasmine Geng

Securities markets are quintessential complex adaptive systems in which heterogeneous agents compete in an attempt to maximize returns.

Path Planning Games

no code implementations30 Oct 2019 Yi Li, Yevgeniy Vorobeychik

Path planning is a fundamental and extensively explored problem in robotic control.

Directed-Weighting Group Lasso for Eltwise Blocked CNN Pruning

no code implementations21 Oct 2019 Ke Zhan, Shimiao Jiang, Yu Bai, Yi Li, Xu Liu, Zhuoran Xu

Eltwise layer is a commonly used structure in the multi-branch deep learning network.

Cross-Spectral Face Hallucination via Disentangling Independent Factors

no code implementations CVPR 2020 Boyan Duan, Chaoyou Fu, Yi Li, Xingguang Song, Ran He

The cross-sensor gap is one of the challenges that have aroused much research interests in Heterogeneous Face Recognition (HFR).

Face Alignment Face Hallucination +2

Data-Driven Neuron Allocation for Scale Aggregation Networks

1 code implementation CVPR 2019 Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang

The most informative output neurons in each block are preserved while others are discarded, and thus neurons for multiple scales are competitively and adaptively allocated.

Image Classification Object Detection

REPAIR: Removing Representation Bias by Dataset Resampling

1 code implementation CVPR 2019 Yi Li, Nuno Vasconcelos

An experimental set-up is also introduced to measure the bias of any dataset for a given representation, and the impact of this bias on the performance of recognition models.

Action Recognition

Biphasic Learning of GANs for High-Resolution Image-to-Image Translation

no code implementations14 Apr 2019 Jie Cao, Huaibo Huang, Yi Li, Jingtuo Liu, Ran He, Zhenan Sun

In this work, we present a novel training framework for GANs, namely biphasic learning, to achieve image-to-image translation in multiple visual domains at $1024^2$ resolution.

Image-to-Image Translation Mutual Information Estimation +1

Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach

1 code implementation11 Mar 2019 Zhe Fei, Yi Li

In modern biomedical studies, focus has been shifted to estimate and explain the joint effects of high dimensional predictors (for example, molecular biomarkers) on a disease outcome (for example, onset of cancer).


Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks

1 code implementation25 Feb 2019 Yi Li

Instead of directly regressing the rotation angle of the ellipse as the common practice, GPN represents bounding ellipses as 2D Gaussian distributions on the image plain and minimizes the Kullback-Leibler (KL) divergence between the proposed Gaussian and the ground truth Gaussian for object localization.

Computed Tomography (CT) Object Localization +1

A Survey of Deep Facial Attribute Analysis

no code implementations26 Dec 2018 Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He

Deep learning based facial attribute analysis consists of two basic sub-issues: facial attribute estimation (FAE), which recognizes whether facial attributes are present in given images, and facial attribute manipulation (FAM), which synthesizes or removes desired facial attributes.

Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning

no code implementations17 Dec 2018 Hao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He

Talking face generation aims to synthesize a face video with precise lip synchronization as well as a smooth transition of facial motion over the entire video via the given speech clip and facial image.

Talking Face Generation

DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems

no code implementations13 Dec 2018 Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Jianjun Zhao, Yang Liu

Our in-depth evaluation on a state-of-the-art speech-to-text DL system demonstrates the effectiveness of our technique in improving quality and reliability of stateful DL systems.

Testing Matrix Rank, Optimally

no code implementations18 Oct 2018 Maria-Florina Balcan, Yi Li, David P. Woodruff, Hongyang Zhang

This improves upon the previous $O(d^2/\epsilon^2)$ bound (SODA'03), and bypasses an $\Omega(d^2/\epsilon^2)$ lower bound of (KDD'14) which holds if the algorithm is required to read a submatrix.

Cancer Metastasis Detection With Neural Conditional Random Field

1 code implementation19 Jun 2018 Yi Li, Wei Ping

Compared to the baseline method without considering spatial correlations, we show that the proposed NCRF framework obtains probability maps of patch predictions with better visual quality.

Cancer Metastasis Detection whole slide images

Covariance-Insured Screening

no code implementations17 May 2018 Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li

Modern bio-technologies have produced a vast amount of high-throughput data with the number of predictors far greater than the sample size.

DeepIM: Deep Iterative Matching for 6D Pose Estimation

1 code implementation ECCV 2018 Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox

Estimating the 6D pose of objects from images is an important problem in various applications such as robot manipulation and virtual reality.

6D Pose Estimation 6D Pose Estimation using RGB +1

Enhanced Biologically Inspired Model for Image Recognition Based on a Novel Patch Selection Method with Moment

no code implementations27 Oct 2017 Yan-Feng Lu, Li-Hao Jia, Hong Qaio, Yi Li

Although the performance of BIM for image recognition is robust, it takes the randomly selected ways for the patch selection, which is sightless, and results in heavy computing burden.

Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification

no code implementations12 Sep 2017 Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan

This paper proposes a learning from generation approach for makeup-invariant face verification by introducing a bi-level adversarial network (BLAN).

Face Verification

Consensus measure of rankings

1 code implementation27 Apr 2017 Zhiwei Lin, Yi Li, Xiaolian Guo

The consensus measure can be used to evaluate rankings in many information systems, as quite often there is not ground truth available for evaluation.

Deformable Convolutional Networks

35 code implementations ICCV 2017 Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei

Convolutional neural networks (CNNs) are inherently limited to model geometric transformations due to the fixed geometric structures in its building modules.

Object Detection Semantic Segmentation

Classification with Ultrahigh-Dimensional Features

no code implementations4 Nov 2016 Yanming Li, Hyokyoung Hong, Jian Kang, Kevin He, Ji Zhu, Yi Li

Although much progress has been made in classification with high-dimensional features \citep{Fan_Fan:2008, JGuo:2010, CaiSun:2014, PRXu:2014}, classification with ultrahigh-dimensional features, wherein the features much outnumber the sample size, defies most existing work.

Classification General Classification

R-FCN: Object Detection via Region-based Fully Convolutional Networks

44 code implementations NeurIPS 2016 Jifeng Dai, Yi Li, Kaiming He, Jian Sun

In contrast to previous region-based detectors such as Fast/Faster R-CNN that apply a costly per-region subnetwork hundreds of times, our region-based detector is fully convolutional with almost all computation shared on the entire image.

Real-Time Object Detection Translation

Instance-sensitive Fully Convolutional Networks

no code implementations29 Mar 2016 Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, Jian Sun

In contrast to the previous FCN that generates one score map, our FCN is designed to compute a small set of instance-sensitive score maps, each of which is the outcome of a pixel-wise classifier of a relative position to instances.

Semantic Segmentation

Neural Self Talk: Image Understanding via Continuous Questioning and Answering

no code implementations10 Dec 2015 Yezhou Yang, Yi Li, Cornelia Fermuller, Yiannis Aloimonos

In this paper we consider the problem of continuously discovering image contents by actively asking image based questions and subsequently answering the questions being asked.

Question Answering Question Generation +1

Compositional Memory for Visual Question Answering

no code implementations18 Nov 2015 Aiwen Jiang, Fang Wang, Fatih Porikli, Yi Li

We then feed the episodes to a standard question answering module together with the contextual visual information and linguistic information.

Question Answering Visual Question Answering

Free-hand Sketch Synthesis with Deformable Stroke Models

no code implementations9 Oct 2015 Yi Li, Yi-Zhe Song, Timothy Hospedales, Shaogang Gong

We present a generative model which can automatically summarize the stroke composition of free-hand sketches of a given category.

Making Better Use of Edges via Perceptual Grouping

no code implementations CVPR 2015 Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li, Jun Guo

We propose a perceptual grouping framework that organizes image edges into meaningful structures and demonstrate its usefulness on various computer vision tasks.

Learning-To-Rank Sketch-Based Image Retrieval

Sketch-based 3D Shape Retrieval using Convolutional Neural Networks

no code implementations CVPR 2015 Fang Wang, Le Kang, Yi Li

Almost always in state of the art approaches a large amount of "best views" are computed for 3D models, with the hope that the query sketch matches one of these 2D projections of 3D models using predefined features.

3D Shape Classification 3D Shape Retrieval +1

DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking

no code implementations28 Feb 2015 Hanxi Li, Yi Li, Fatih Porikli

In this work, we present an efficient and very robust tracking algorithm using a single Convolutional Neural Network (CNN) for learning effective feature representations of the target object, in a purely online manner.

Visual Tracking

Random Bits Regression: a Strong General Predictor for Big Data

no code implementations13 Jan 2015 Yi Wang, Yi Li, Momiao Xiong, Li Jin

To improve accuracy and speed of regressions and classifications, we present a data-based prediction method, Random Bits Regression (RBR).

Physical Computing With No Clock to Implement the Gaussian Pyramid of SIFT Algorithm

no code implementations11 Aug 2014 Yi Li, Qi Wei, Fei Qiao, Huazhong Yang

In this paper, we propose an active circuit network to implement multi-scale Gaussian filter, which is also called Gaussian Pyramid in image preprocessing.

Is Rotation a Nuisance in Shape Recognition?

no code implementations CVPR 2014 Qiuhong Ke, Yi Li

and 3) how to use rotation unaware local features for rotation aware shape recognition?

Orientation Robust Text Line Detection in Natural Images

no code implementations CVPR 2014 Le Kang, Yi Li, David Doermann

In this paper, higher-order correlation clustering (HOCC) is used for text line detection in natural images.

graph partitioning Line Detection

Convolutional Neural Networks for No-Reference Image Quality Assessment

no code implementations CVPR 2014 Le Kang, Peng Ye, Yi Li, David Doermann

In this work we describe a Convolutional Neural Network (CNN) to accurately predict image quality without a reference image.

No-Reference Image Quality Assessment

Beyond Physical Connections: Tree Models in Human Pose Estimation

no code implementations CVPR 2013 Fang Wang, Yi Li

Our method outperformed the state of the art on the LSP, both in the scenarios when the training images are from the same dataset and from the PARSE dataset.

Pose Estimation

Learning Visual Symbols for Parsing Human Poses in Images

no code implementations23 Apr 2013 Fang Wang, Yi Li

When the structure of the compositional parts is a tree, we derive an efficient approach to estimating human poses in images.

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