Search Results for author: Sen Wang

Found 90 papers, 45 papers with code

Improving Embedding-based Large-scale Retrieval via Label Enhancement

no code implementations Findings (EMNLP) 2021 Peiyang Liu, Xi Wang, Sen Wang, Wei Ye, Xiangyu Xi, Shikun Zhang

Current embedding-based large-scale retrieval models are trained with 0-1 hard label that indicates whether a query is relevant to a document, ignoring rich information of the relevance degree.


Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection

1 code implementation22 Aug 2023 Bingqing Zhang, Sen Wang, Yifan Liu, Brano Kusy, Xue Li, Jiajun Liu

The ODD score enhances the VOD system in two ways: 1) it enables the VOD system to select superior global reference frames, thereby improving overall accuracy; and 2) it serves as an indicator in the newly designed ODD Scheduler to eliminate the aggregation of frames that are easy to detect, thus accelerating the VOD process.

object-detection Video Object Detection

Enhancing AUV Autonomy With Model Predictive Path Integral Control

no code implementations10 Aug 2023 Pierre Nicolay, Yvan Petillot, Mykhaylo Marfeychuk, Sen Wang, Ignacio Carlucho

However, in order to ensure that the AUV is able to carry out its mission successfully, a control system capable of adapting to changing environmental conditions is required.

Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error

1 code implementation6 Aug 2023 Zixin Wang, Yadan Luo, Zhi Chen, Sen Wang, Zi Huang

The prevalence of domain adaptive semantic segmentation has prompted concerns regarding source domain data leakage, where private information from the source domain could inadvertently be exposed in the target domain.

Model Selection Pseudo Label +2

Zero-Shot Learning by Harnessing Adversarial Samples

1 code implementation1 Aug 2023 Zhi Chen, Pengfei Zhang, Jingjing Li, Sen Wang, Zi Huang

To take the advantage of image augmentations while mitigating the semantic distortion issue, we propose a novel ZSL approach by Harnessing Adversarial Samples (HAS).

Generalized Zero-Shot Learning Image Augmentation

Event-based Human Pose Tracking by Spiking Spatiotemporal Transformer

1 code implementation16 Mar 2023 Shihao Zou, Yuxuan Mu, Xinxin Zuo, Sen Wang, Li Cheng

Motivated by the above mentioned issues, we present in this paper a dedicated end-to-end sparse deep learning approach for event-based pose tracking: 1) to our knowledge this is the first time that 3D human pose tracking is obtained from events only, thus eliminating the need of accessing to any frame-based images as part of input; 2) our approach is based entirely upon the framework of Spiking Neural Networks (SNNs), which consists of Spike-Element-Wise (SEW) ResNet and a novel Spiking Spatiotemporal Transformer; 3) a large-scale synthetic dataset is constructed that features a broad and diverse set of annotated 3D human motions, as well as longer hours of event stream data, named SynEventHPD.

3D Human Pose Estimation 3D Human Pose Tracking

Improved Feature Distillation via Projector Ensemble

1 code implementation27 Oct 2022 Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang

Motivated by the positive effect of the projector in feature distillation, we propose an ensemble of projectors to further improve the quality of student features.

Knowledge Distillation Multi-Task Learning

Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems

no code implementations26 Oct 2022 Yi Dong, Xingyu Zhao, Sen Wang, Xiaowei Huang

Deep Reinforcement Learning (DRL) has achieved impressive performance in robotics and autonomous systems (RASs).

Federated Zero-Shot Learning for Visual Recognition

no code implementations5 Sep 2022 Zhi Chen, Yadan Luo, Sen Wang, Jingjing Li, Zi Huang

We identify two key challenges in our FedZSL protocol: 1) the trained models are prone to be biased to the locally observed classes, thus failing to generalize to the unseen classes and/or seen classes appeared on other devices; 2) as each category in the training data comes from a single source, the central model is highly vulnerable to model replacement (backdoor) attacks.

Federated Learning Zero-Shot Learning

Boosting Night-time Scene Parsing with Learnable Frequency

1 code implementation30 Aug 2022 Zhifeng Xie, Sen Wang, Ke Xu, Zhizhong Zhang, Xin Tan, Yuan Xie, Lizhuang Ma

Based on this, we propose to exploit the image frequency distributions for night-time scene parsing.

Autonomous Driving Scene Parsing

Two Heads are Better than One: Robust Learning Meets Multi-branch Models

1 code implementation17 Aug 2022 Dong Huang, Qingwen Bu, Yuhao QING, Haowen Pi, Sen Wang, Heming Cui

Compared to all methods that do not use additional data for training, our models achieve 67. 3% and 41. 5% robust accuracy on CIFAR-10 and CIFAR-100 (improving upon the state-of-the-art by +7. 23% and +9. 07%).

Adversarial Robustness Philosophy

Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation

1 code implementation11 Jul 2022 Zixin Wang, Yadan Luo, Peng-Fei Zhang, Sen Wang, Zi Huang

A typical multi-source domain adaptation (MSDA) approach aims to transfer knowledge learned from a set of labeled source domains, to an unlabeled target domain.

Disentanglement Domain Adaptation

GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning

no code implementations5 Jul 2022 Zhi Chen, Yadan Luo, Sen Wang, Jingjing Li, Zi Huang

To address this issue, we propose a novel flow-based generative framework that consists of multiple conditional affine coupling layers for learning unseen data generation.

Generalized Zero-Shot Learning

Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance

no code implementations30 Nov 2021 Yi Dong, Wei Huang, Vibhav Bharti, Victoria Cox, Alec Banks, Sen Wang, Xingyu Zhao, Sven Schewe, Xiaowei Huang

The increasing use of Machine Learning (ML) components embedded in autonomous systems -- so-called Learning-Enabled Systems (LESs) -- has resulted in the pressing need to assure their functional safety.

EndHiC: assemble large contigs into chromosomal-level scaffolds using the Hi-C links from contig ends

1 code implementation30 Nov 2021 Sen Wang, Hengchao Wang, Fan Jiang, Anqi Wang, Hangwei Liu, Hanbo Zhao, Boyuan Yang, Dong Xu, Yan Zhang, Wei Fan

As the Hi-C links of two adjacent contigs concentrate only at the neighbor ends of the contigs, larger contig size will reduce the power to differentiate adjacent (signal) and non-adjacent (noise) contig linkages, leading to a higher rate of mis-assembly.

3D Pose Estimation and Future Motion Prediction from 2D Images

no code implementations26 Nov 2021 Ji Yang, Youdong Ma, Xinxin Zuo, Sen Wang, Minglun Gong, Li Cheng

This paper considers to jointly tackle the highly correlated tasks of estimating 3D human body poses and predicting future 3D motions from RGB image sequences.

3D Pose Estimation motion prediction

Action2video: Generating Videos of Human 3D Actions

no code implementations12 Nov 2021 Chuan Guo, Xinxin Zuo, Sen Wang, Xinshuang Liu, Shihao Zou, Minglun Gong, Li Cheng

Action2motion stochastically generates plausible 3D pose sequences of a prescribed action category, which are processed and rendered by motion2video to form 2D videos.

Neural Architecture Search via Ensemble-based Knowledge Distillation

no code implementations29 Sep 2021 Fanxin Li, Shixiong Zhao, Haowen Pi, Yuhao QING, Yichao Fu, Sen Wang, Heming Cui

Neural Architecture Search (NAS) automatically searches for well-performed network architectures from a given search space.

Knowledge Distillation Neural Architecture Search

Sequential Diagnosis Prediction with Transformer and Ontological Representation

1 code implementation7 Sep 2021 Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

Sequential diagnosis prediction on the Electronic Health Record (EHR) has been proven crucial for predictive analytics in the medical domain.

Sequential Diagnosis

Global Convolutional Neural Processes

1 code implementation2 Sep 2021 Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang

Latent neural process, a member of NPF, is believed to be capable of modelling the uncertainty on certain points (local uncertainty) as well as the general function priors (global uncertainties).

Few-Shot Learning Gaussian Processes

EventHPE: Event-based 3D Human Pose and Shape Estimation

1 code implementation ICCV 2021 Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng

Event camera is an emerging imaging sensor for capturing dynamics of moving objects as events, which motivates our work in estimating 3D human pose and shape from the event signals.

3D human pose and shape estimation Optical Flow Estimation

Human Pose and Shape Estimation from Single Polarization Images

1 code implementation15 Aug 2021 Shihao Zou, Xinxin Zuo, Sen Wang, Yiming Qian, Chuan Guo, Li Cheng

This paper focuses on a new problem of estimating human pose and shape from single polarization images.

Surface Normal Estimation

Detailed Avatar Recovery from Single Image

no code implementations6 Aug 2021 Hao Zhu, Xinxin Zuo, Haotian Yang, Sen Wang, Xun Cao, Ruigang Yang

In this paper, we propose a novel learning-based framework that combines the robustness of the parametric model with the flexibility of free-form 3D deformation.

Underwater inspection and intervention dataset

no code implementations28 Jul 2021 Tomasz Luczynski, Jonatan Scharff Willners, Elizabeth Vargas, Joshua Roe, Shida Xu, Yu Cao, Yvan Petillot, Sen Wang

This paper presents a novel dataset for the development of visual navigation and simultaneous localisation and mapping (SLAM) algorithms as well as for underwater intervention tasks.

Visual Navigation

MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning

1 code implementation20 Jul 2021 Xueping Peng, Guodong Long, Sen Wang, Jing Jiang, Allison Clarke, Clement Schlegel, Chengqi Zhang

Hence, some recent works train healthcare representations by incorporating medical ontology, by self-supervised tasks like diagnosis prediction, but (1) the small-scale, monotonous ontology is insufficient for robust learning, and (2) critical contexts or dependencies underlying patient journeys are barely exploited to enhance ontology learning.

Graph Embedding Ontology Embedding +1

Self-supervised 3D Human Mesh Recovery from Noisy Point Clouds

1 code implementation15 Jul 2021 Xinxin Zuo, Sen Wang, Qiang Sun, Minglun Gong, Li Cheng

However, Chamfer distance is quite sensitive to noise and outliers, thus could be unreliable to assign correspondences.

Human Mesh Recovery

Mitigating Generation Shifts for Generalized Zero-Shot Learning

1 code implementation7 Jul 2021 Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang

Generalized Zero-Shot Learning (GZSL) is the task of leveraging semantic information (e. g., attributes) to recognize the seen and unseen samples, where unseen classes are not observable during training.

Generalized Zero-Shot Learning

CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation

1 code implementation6 Jul 2021 Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang

Existing visually-aware models make use of the visual features as a separate collaborative signal similarly to other features to directly predict the user's preference without considering a potential bias, which gives rise to a visually biased recommendation.

Counterfactual Inference Recommendation Systems

FedCM: Federated Learning with Client-level Momentum

1 code implementation21 Jun 2021 Jing Xu, Sen Wang, LiWei Wang, Andrew Chi-Chih Yao

Federated Learning is a distributed machine learning approach which enables model training without data sharing.

Federated Learning

QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval

no code implementations NAACL 2021 Peiyang Liu, Sen Wang, Xi Wang, Wei Ye, Shikun Zhang

The embedding-based large-scale query-document retrieval problem is a hot topic in the information retrieval (IR) field.

Information Retrieval Retrieval

How Sensitive are Meta-Learners to Dataset Imbalance?

1 code implementation ICLR Workshop Learning_to_Learn 2021 Mateusz Ochal, Massimiliano Patacchiola, Amos Storkey, Jose Vazquez, Sen Wang

Meta-Learning (ML) has proven to be a useful tool for training Few-Shot Learning (FSL) algorithms by exposure to batches of tasks sampled from a meta-dataset.

Few-Shot Learning

Semantics Disentangling for Generalized Zero-Shot Learning

1 code implementation ICCV 2021 Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang

Generalized zero-shot learning (GZSL) aims to classify samples under the assumption that some classes are not observable during training.

Generalized Zero-Shot Learning Relation Network

Few-Shot Learning with Class Imbalance

1 code implementation7 Jan 2021 Mateusz Ochal, Massimiliano Patacchiola, Amos Storkey, Jose Vazquez, Sen Wang

Few-Shot Learning (FSL) algorithms are commonly trained through Meta-Learning (ML), which exposes models to batches of tasks sampled from a meta-dataset to mimic tasks seen during evaluation.

Few-Shot Learning

Class Imbalance in Few-Shot Learning

no code implementations1 Jan 2021 Mateusz Ochal, Massimiliano Patacchiola, Jose Vazquez, Amos Storkey, Sen Wang

Few-shot learning aims to train models on a limited number of labeled samples from a support set in order to generalize to unseen samples from a query set.

Few-Shot Learning

Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision

1 code implementation19 Nov 2020 Yujie Zhong, Linhai Xie, Sen Wang, Lucia Specia, Yishu Miao

In this paper, we teach machines to understand visuals and natural language by learning the mapping between sentences and noisy video snippets without explicit annotations.

Retrieval Self-Supervised Learning

RADIATE: A Radar Dataset for Automotive Perception in Bad Weather

1 code implementation18 Oct 2020 Marcel Sheeny, Emanuele De Pellegrin, Saptarshi Mukherjee, Alireza Ahrabian, Sen Wang, Andrew Wallace

To the best of our knowledge, this is the first public radar dataset which provides high-resolution radar images on public roads with a large amount of road actors labelled.

Autonomous Driving Benchmarking +4

BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes

1 code implementation24 Sep 2020 Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang

Electronic health records (EHRs) are longitudinal records of a patient's interactions with healthcare systems.


Action2Motion: Conditioned Generation of 3D Human Motions

1 code implementation30 Jul 2020 Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, Li Cheng

Action recognition is a relatively established task, where givenan input sequence of human motion, the goal is to predict its ac-tion category.

Action Generation

Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches

no code implementations27 Jul 2020 Zhi Chen, Sen Wang, Jingjing Li, Zi Huang

A voting strategy averages the probability distributions output from the classifiers and, given that some patches are more discriminative than others, a discrimination-based attention mechanism helps to weight each patch accordingly.

Ensemble Learning Fine-Grained Image Classification +1

3D Human Shape Reconstruction from a Polarization Image

no code implementations ECCV 2020 Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong, Li Cheng

Inspired by the recent advances in human shape estimation from single color images, in this paper, we attempt at estimating human body shapes by leveraging the geometric cues from single polarization images.

Self-Attention Enhanced Patient Journey Understanding in Healthcare System

1 code implementation15 Jun 2020 Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

The key challenge of patient journey understanding is to design an effective encoding mechanism which can properly tackle the aforementioned multi-level structured patient journey data with temporal sequential visits and a set of medical codes.

SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images

no code implementations5 Jun 2020 Xinxin Zuo, Sen Wang, Jiangbin Zheng, Weiwei Yu, Minglun Gong, Ruigang Yang, Li Cheng

First, based on a generative human template, for every two frames having sufficient overlap, an initial pairwise alignment is performed; It is followed by a global non-rigid registration procedure, in which partial results from RGBD frames are collected into a unified 3D shape, under the guidance of correspondences from the pairwise alignment; Finally, the texture map of the reconstructed human model is optimized to deliver a clear and spatially consistent texture.

A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification

no code implementations10 May 2020 Mateusz Ochal, Jose Vazquez, Yvan Petillot, Sen Wang

Deep convolutional neural networks generally perform well in underwater object recognition tasks on both optical and sonar images.

Few-Shot Learning General Classification +3

Polarization Human Shape and Pose Dataset

no code implementations30 Apr 2020 Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chuan Guo, Chi Xu, Minglun Gong, Li Cheng

Polarization images are known to be able to capture polarized reflected lights that preserve rich geometric cues of an object, which has motivated its recent applications in reconstructing detailed surface normal of the objects of interest.

Estimation of genome size using k-mer frequencies from corrected long reads

1 code implementation26 Mar 2020 Hengchao Wang, Bo Liu, Yan Zhang, Fan Jiang, Yuwei Ren, Lijuan Yin, Hangwei Liu, Sen Wang, Wei Fan

We show that corrected third-generation data can be used to count k-mer frequencies and estimate genome size reliably, in replacement of using second-generation data.

ZSTAD: Zero-Shot Temporal Activity Detection

no code implementations CVPR 2020 Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, ZongYuan Ge, Alexander Hauptmann

An integral part of video analysis and surveillance is temporal activity detection, which means to simultaneously recognize and localize activities in long untrimmed videos.

Action Detection Activity Detection

Privacy-Preserving Image Classification in the Local Setting

no code implementations9 Feb 2020 Sen Wang, J. Morris Chang

To protect the image privacy, we propose to locally perturb the image representation before revealing to the data user.

BIG-bench Machine Learning Classification +3

Privacy-Preserving Boosting in the Local Setting

no code implementations6 Feb 2020 Sen Wang, J. Morris Chang

The privacy concern raises when such data leaves the hand of the owners and be further explored or mined.

BIG-bench Machine Learning Privacy Preserving

Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning

1 code implementation10 Dec 2019 Chris Xiaoxuan Lu, Bowen Du, Hongkai Wen, Sen Wang, Andrew Markham, Ivan Martinovic, Yiran Shen, Niki Trigoni

Demand for smartwatches has taken off in recent years with new models which can run independently from smartphones and provide more useful features, becoming first-class mobile platforms.

300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning

no code implementations6 Dec 2019 Marcel Sheeny, Andrew Wallace, Sen Wang

For high resolution scene mapping and object recognition, optical technologies such as cameras and LiDAR are the sensors of choice.

Object Recognition Transfer Learning

Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Simulated Brush Model

no code implementations18 Nov 2019 Sen Wang, Jiaqi Chen, Xuanliang Deng, Seth Hutchinson, Frank Dellaert

Chinese calligraphy is a unique form of art that has great artistic value but is difficult to master.


Temporal Self-Attention Network for Medical Concept Embedding

1 code implementation15 Sep 2019 Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Michael Blumenstein

In this paper, we propose a medical concept embedding method based on applying a self-attention mechanism to represent each medical concept.


A Multi-level Neural Network for Implicit Causality Detection in Web Texts

1 code implementation18 Aug 2019 Shining Liang, Wanli Zuo, Zhenkun Shi, Sen Wang, Junhu Wang, Xianglin Zuo

Mining causality from text is a complex and crucial natural language understanding task corresponding to the human cognition.

Causal Inference Feature Engineering +3

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

1 code implementation NeurIPS 2019 Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni

The framework directly regresses 3D bounding boxes for all instances in a point cloud, while simultaneously predicting a point-level mask for each instance.

Ranked #12 on 3D Instance Segmentation on S3DIS (mPrec metric)

3D Instance Segmentation Clustering +2

Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation

1 code implementation CVPR 2019 Hao Zhu, Xinxin Zuo, Sen Wang, Xun Cao, Ruigang Yang

This paper presents a novel framework to recover detailed human body shapes from a single image.

Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning

no code implementations25 Mar 2019 Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Sen Wang, Andrew Markham, Niki Trigoni

Inspired by the cognitive process of humans and animals, Curriculum Learning (CL) trains a model by gradually increasing the difficulty of the training data.

Monocular Visual Odometry Optical Flow Estimation

Deep Reinforcement Learning for Autonomous Driving

1 code implementation28 Nov 2018 Sen Wang, Daoyuan Jia, Xinshuo Weng

To deal with these challenges, we first adopt the deep deterministic policy gradient (DDPG) algorithm, which has the capacity to handle complex state and action spaces in continuous domain.

Autonomous Driving reinforcement-learning +1

Part-level Car Parsing and Reconstruction from Single Street View

no code implementations27 Nov 2018 Qichuan Geng, Hong Zhang, Xinyu Huang, Sen Wang, Feixiang Lu, Xinjing Cheng, Zhong Zhou, Ruigang Yang

As it is labor-intensive to annotate semantic parts on real street views, we propose a specific approach to implicitly transfer part features from synthesized images to real street views.

Car Pose Estimation Domain Adaptation +1

Learning with Stochastic Guidance for Navigation

1 code implementation27 Nov 2018 Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni

Due to the sparse rewards and high degree of environment variation, reinforcement learning approaches such as Deep Deterministic Policy Gradient (DDPG) are plagued by issues of high variance when applied in complex real world environments.


Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction

1 code implementation2 Aug 2018 Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni

However, GRU based approaches are unable to consistently estimate 3D shapes given different permutations of the same set of input images as the recurrent unit is permutation variant.

3D Object Reconstruction 3D Reconstruction +1

NeuRec: On Nonlinear Transformation for Personalized Ranking

no code implementations8 May 2018 Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong

Modeling user-item interaction patterns is an important task for personalized recommendations.

Recommendation Systems

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations

1 code implementation25 Apr 2018 Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham

This is further confounded by the fact that shape information about encountered objects in the real world is often impaired by occlusions, noise and missing regions e. g. a robot manipulating an object will only be able to observe a partial view of the entire solid.

Multi-modality Sensor Data Classification with Selective Attention

no code implementations16 Apr 2018 Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang

Multimodal wearable sensor data classification plays an important role in ubiquitous computing and has a wide range of applications in scenarios from healthcare to entertainment.

Classification General Classification

Defo-Net: Learning Body Deformation using Generative Adversarial Networks

1 code implementation16 Apr 2018 Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham

Modelling the physical properties of everyday objects is a fundamental prerequisite for autonomous robots.


POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors

no code implementations7 Apr 2018 Marcel Sheeny, Andrew Wallace, Mehryar Emambakhsh, Sen Wang, Barry Connor

For vehicle autonomy, driver assistance and situational awareness, it is necessary to operate at day and night, and in all weather conditions.

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling

1 code implementation31 Jan 2018 Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang

In this paper, we integrate both soft and hard attention into one context fusion model, "reinforced self-attention (ReSA)", for the mutual benefit of each other.

Hard Attention Natural Language Inference

SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation

no code implementations16 Oct 2017 Fang Gong, Meng Wang, Haofen Wang, Sen Wang, Mengyue Liu

To our best knowledge, SMR is the first to learn embeddings of a patient-disease-medicine graph for medicine recommendation in the world.

Knowledge Graph Embedding Knowledge Graphs +2

DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

5 code implementations25 Sep 2017 Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni

This paper presents a novel end-to-end framework for monocular VO by using deep Recurrent Convolutional Neural Networks (RCNNs).

Monocular Visual Odometry Motion Estimation

UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning

no code implementations20 Sep 2017 Ruihao Li, Sen Wang, Zhiqiang Long, Dongbing Gu

UnDeepVO is able to estimate the 6-DoF pose of a monocular camera and the depth of its view by using deep neural networks.

Monocular Visual Odometry

3D Object Reconstruction from a Single Depth View with Adversarial Learning

2 code implementations26 Aug 2017 Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni

In this paper, we propose a novel 3D-RecGAN approach, which reconstructs the complete 3D structure of a given object from a single arbitrary depth view using generative adversarial networks.

3D Object Reconstruction

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface

no code implementations22 Aug 2017 Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots

Brain-Computer Interface (BCI) is a system empowering humans to communicate with or control the outside world with exclusively brain intentions.

Human-Computer Interaction Neurons and Cognition

PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking

no code implementations17 Jul 2017 Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li, Wenqiang Liu

Electronic medical records contain multi-format electronic medical data that consist of an abundance of medical knowledge.

Entity Linking Knowledge Graphs

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

no code implementations CVPR 2017 Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen

Machine learning techniques, namely convolutional neural networks (CNN) and regression forests, have recently shown great promise in performing 6-DoF localization of monocular images.

Autonomous Driving Indoor Localization

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

no code implementations29 Jan 2017 Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni

In this paper we present an on-manifold sequence-to-sequence learning approach to motion estimation using visual and inertial sensors.

Motion Estimation

Safety Verification of Deep Neural Networks

2 code implementations21 Oct 2016 Xiaowei Huang, Marta Kwiatkowska, Sen Wang, Min Wu

Our method works directly with the network code and, in contrast to existing methods, can guarantee that adversarial examples, if they exist, are found for the given region and family of manipulations.

Adversarial Attack Adversarial Defense +3

Uncovering Locally Discriminative Structure for Feature Analysis

no code implementations9 Jul 2016 Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao

We propose a method that utilizes both the manifold structure of data and local discriminant information.

Interactive Visual Hull Refinement for Specular and Transparent Object Surface Reconstruction

no code implementations ICCV 2015 Xinxin Zuo, Chao Du, Sen Wang, Jiangbin Zheng, Ruigang Yang

We discovered that these internal contours, which are results of convex parts on an object's surface, can lead to a tighter fit than the original visual hull.

Contour Detection Surface Reconstruction +1

Unsupervised Feature Analysis with Class Margin Optimization

no code implementations3 Jun 2015 Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng

In this paper, we propose an unsupervised feature selection method seeking a feature coefficient matrix to select the most distinctive features.

Clustering feature selection

Compound Rank-k Projections for Bilinear Analysis

no code implementations23 Nov 2014 Xiaojun Chang, Feiping Nie, Sen Wang, Yi Yang, Xiaofang Zhou, Chengqi Zhang

In many real-world applications, data are represented by matrices or high-order tensors.

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