Search Results for author: Ke Lu

Found 23 papers, 9 papers with code

Neighborhood Contrastive Transformer for Change Captioning

1 code implementation6 Mar 2023 Yunbin Tu, Liang Li, Li Su, Ke Lu, Qingming Huang

Change captioning is to describe the semantic change between a pair of similar images in natural language.

Image Captioning

Markerless Body Motion Capturing for 3D Character Animation based on Multi-view Cameras

no code implementations12 Dec 2022 Jinbao Wang, Ke Lu, Jian Xue

This paper proposes a novel application system for the generation of three-dimensional (3D) character animation driven by markerless human body motion capturing.

G-Rep: Gaussian Representation for Arbitrary-Oriented Object Detection

1 code implementation24 May 2022 Liping Hou, Ke Lu, Xue Yang, Yuqiu Li, Jian Xue

To go further, in this paper, we propose a unified Gaussian representation called G-Rep to construct Gaussian distributions for OBB, QBB, and PointSet, which achieves a unified solution to various representations and problems.

object-detection Object Detection +2

Distinguishing Unseen From Seen for Generalized Zero-Shot Learning

no code implementations CVPR 2022 Hongzu Su, Jingjing Li, Zhi Chen, Lei Zhu, Ke Lu

In this paper, we present a novel method which leverages both visual and semantic modalities to distinguish seen and unseen categories.

Generalized Zero-Shot Learning

TransZero: Attribute-guided Transformer for Zero-Shot Learning

1 code implementation3 Dec 2021 Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You

Although some attention-based models have attempted to learn such region features in a single image, the transferability and discriminative attribute localization of visual features are typically neglected.

Zero-Shot Learning

FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation

no code implementations4 Nov 2021 Wei Gan, Jian Xue, Ke Lu, Yanfu Yan, Pengcheng Gao, Jiayi Lyu

Extended FEAFA (FEAFA+) includes 150 video sequences from FEAFA and DISFA, with a total of 230, 184 frames being manually annotated on floating-point intensity value of 24 redefined AUs using the Expression Quantitative Tool.

Domain Adaptive Semantic Segmentation without Source Data

1 code implementation13 Oct 2021 Fuming You, Jingjing Li, Lei Zhu, Ke Lu, Zhi Chen, Zi Huang

To address these problems, we investigate domain adaptive semantic segmentation without source data, which assumes that the model is pre-trained on the source domain, and then adapting to the target domain without accessing source data anymore.

Semantic Segmentation

Adversarial Energy Disaggregation for Non-intrusive Load Monitoring

no code implementations2 Aug 2021 Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen

Energy disaggregation, also known as non-intrusive load monitoring (NILM), challenges the problem of separating the whole-home electricity usage into appliance-specific individual consumptions, which is a typical application of data analysis.

Non-Intrusive Load Monitoring

Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation

1 code implementation CVPR 2021 Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu

Previous bi-classifier adversarial learning methods only focus on the similarity between the outputs of two distinct classifiers.

Clustering Self-Supervised Learning +1

Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network

no code implementations20 Apr 2020 Ji Gan, Weiqiang Wang, Ke Lu

Chinese is one of the most widely used languages in the world, yet online handwritten Chinese character recognition (OLHCCR) remains challenging.

Time Series Time Series Analysis

Cycle-consistent Conditional Adversarial Transfer Networks

1 code implementation17 Sep 2019 Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang

Domain adaptation investigates the problem of cross-domain knowledge transfer where the labeled source domain and unlabeled target domain have distinctive data distributions.

Domain Adaptation Transfer Learning

Alleviating Feature Confusion for Generative Zero-shot Learning

1 code implementation17 Sep 2019 Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang

An inevitable issue of such a paradigm is that the synthesized unseen features are prone to seen references and incapable to reflect the novelty and diversity of real unseen instances.

Generalized Zero-Shot Learning

Agile Domain Adaptation

no code implementations11 Jul 2019 Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang

Because of the distribution shifts, different target samples have distinct degrees of difficulty in adaptation.

Domain Adaptation

From Zero-Shot Learning to Cold-Start Recommendation

1 code implementation20 Jun 2019 Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang

This work, for the first time, formulates CSR as a ZSL problem, and a tailor-made ZSL method is proposed to handle CSR.

Recommendation Systems Zero-Shot Learning

Leveraging the Invariant Side of Generative Zero-Shot Learning

1 code implementation CVPR 2019 Jingjing Li, Mengmeng Jin, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang

In this paper, we take the advantage of generative adversarial networks (GANs) and propose a novel method, named leveraging invariant side GAN (LisGAN), which can directly generate the unseen features from random noises which are conditioned by the semantic descriptions.

Generalized Zero-Shot Learning

FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation

no code implementations2 Apr 2019 Yanfu Yan, Ke Lu, Jian Xue, Pengcheng Gao, Jiayi Lyu

To meet the need for videos labeled in great detail, we present a well-annotated dataset named FEAFA for Facial Expression Analysis and 3D Facial Animation.

3D Face Reconstruction regression

Sample-Efficient Policy Learning based on Completely Behavior Cloning

no code implementations9 Nov 2018 Qiming Zou, Ling Wang, Ke Lu, Yu Li

Direct policy search is one of the most important algorithm of reinforcement learning.

Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion

no code implementations20 Nov 2017 Weiyao Lin, Yang Mi, Jianxin Wu, Ke Lu, Hongkai Xiong

In this paper, we propose a novel deep-based framework for action recognition, which improves the recognition accuracy by: 1) deriving more precise features for representing actions, and 2) reducing the asynchrony between different information streams.

Action Recognition Temporal Action Localization

Learning Correspondence Structures for Person Re-identification

no code implementations20 Mar 2017 Weiyao Lin, Yang shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu

We first introduce a boosting-based approach to learn a correspondence structure which indicates the patch-wise matching probabilities between images from a target camera pair.

Patch Matching Person Re-Identification

Challenge of Multi-Camera Tracking

no code implementations6 Feb 2017 Yong Wang, Ke Lu

Multi-camera tracking is quite different from single camera tracking, and it faces new technology and system architecture challenges.

Multiview Hessian regularized logistic regression for action recognition

no code implementations3 Mar 2014 W. Liu, H. Liu, D. Tao, Y. Wang, Ke Lu

With the rapid development of social media sharing, people often need to manage the growing volume of multimedia data such as large scale video classification and annotation, especially to organize those videos containing human activities.

Action Recognition General Classification +3

Binary Code Ranking with Weighted Hamming Distance

no code implementations CVPR 2013 Lei Zhang, Yongdong Zhang, Jinhu Tang, Ke Lu, Qi Tian

In this paper, we propose a weighted Hamming distance ranking algorithm (WhRank) to rank the binary codes of hashing methods.

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