b'Sen Wang'

research

∙ 06/01/2023

BAMF-SLAM: Bundle Adjusted Multi-Fisheye Visual-Inertial SLAM Using Recurrent Field Transforms

In this paper, we present BAMF-SLAM, a novel multi-fisheye visual-inerti...

0 Wei Zhang, et al. ∙

research

∙ 03/16/2023

Event-based Human Pose Tracking by Spiking Spatiotemporal Transformer

Event camera, as an emerging biologically-inspired vision sensor for cap...

0 Shihao Zou, et al. ∙

research

∙ 01/15/2023

DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets

Designing an efficient yet deployment-friendly 3D backbone to handle spa...

0 Haiyang Wang, et al. ∙

research

∙ 12/16/2022

rWiFiSLAM: Effective WiFi Ranging based SLAM System in Ambient Environments

In this paper, we propose rWiFiSLAM, an indoor localisation system based...

0 Bo Wei, et al. ∙

research

∙ 10/27/2022

Improved Feature Distillation via Projector Ensemble

In knowledge distillation, previous feature distillation methods mainly ...

0 Yudong Chen, et al. ∙

research

∙ 09/05/2022

Federated Zero-Shot Learning for Visual Recognition

Zero-shot learning is a learning regime that recognizes unseen classes b...

0 Zhi Chen, et al. ∙

research

∙ 08/30/2022

Boosting Night-time Scene Parsing with Learnable Frequency

Night-Time Scene Parsing (NTSP) is essential to many vision applications...

1 Zhifeng Xie, et al. ∙

research

∙ 08/17/2022

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

Deep neural networks (DNNs) are vulnerable to adversarial examples, in w...

0 Dong Huang, et al. ∙

research

∙ 07/11/2022

Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation

A typical multi-source domain adaptation (MSDA) approach aims to transfe...

0 Zixin Wang, et al. ∙

research

∙ 07/05/2022

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

Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...

7 Zhi Chen, et al. ∙

research

∙ 07/04/2022

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts

Inspired by the strong ties between vision and language, the two intimat...

0 Chuan Guo, et al. ∙

research

∙ 05/12/2022

CURL: Continuous, Ultra-compact Representation for LiDAR

Increasing the density of the 3D LiDAR point cloud is appealing for many...

0 Kaicheng Zhang, et al. ∙

research

∙ 01/09/2022

Joint Successive Cancellation List Decoding for the Double Polar codes

As a new joint source-channel coding scheme, the double polar (D-Polar) ...

0 Yanfei Dong, et al. ∙

research

∙ 11/30/2021

Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems

The increasing use of Machine Learning (ML) components embedded in auton...

3 Xingyu Zhao, et al. ∙

research

∙ 11/26/2021

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

This paper considers to jointly tackle the highly correlated tasks of es...

0 Ji Yang, et al. ∙

research

∙ 11/12/2021

Action2video: Generating Videos of Human 3D Actions

We aim to tackle the interesting yet challenging problem of generating v...

0 Chuan Guo, et al. ∙

research

∙ 10/23/2021

Generalized Polarization Transform: A Novel Coded Transmission Paradigm

With the standardization and deployment of 5G, the focus has now shifted...

0 Jincheng Dai, et al. ∙

research

∙ 09/07/2021

Sequential Diagnosis Prediction with Transformer and Ontological Representation

Sequential diagnosis prediction on the Electronic Health Record (EHR) ha...

0 Xueping Peng, et al. ∙

research

∙ 09/02/2021

Global Convolutional Neural Processes

The ability to deal with uncertainty in machine learning models has beco...

42 Xuesong Wang, et al. ∙

research

∙ 08/15/2021

Human Pose and Shape Estimation from Single Polarization Images

This paper focuses on a new problem of estimating human pose and shape f...

0 Shihao Zou, et al. ∙

research

∙ 08/15/2021

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

Event camera is an emerging imaging sensor for capturing dynamics of mov...

0 Shihao Zou, et al. ∙

research

∙ 08/12/2021

From market-ready ROVs to low-cost AUVs

Autonomous Underwater Vehicles (AUVs) are becoming increasingly importan...

0 Jonatan Scharff Willners, et al. ∙

research

∙ 08/05/2021

Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image

Given a picture of a chair, could we extract the 3-D shape of the chair,...

0 Xinxin Zuo, et al. ∙

research

∙ 07/28/2021

Underwater inspection and intervention dataset

This paper presents a novel dataset for the development of visual naviga...

16 Tomasz Łuczyński, et al. ∙

research

∙ 07/20/2021

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

Healthcare representation learning on the Electronic Health Record (EHR)...

0 Xueping Peng, et al. ∙

research

∙ 07/15/2021

Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds

This paper presents a novel unsupervised approach to reconstruct human s...

0 Xinxin Zuo, et al. ∙

research

∙ 07/07/2021

Mitigating Generation Shifts for Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) is the task of leveraging semantic...

0 Zhi Chen, et al. ∙

research

∙ 07/06/2021

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

Visually-aware recommendation on E-commerce platforms aims to leverage v...

0 Ruihong Qiu, et al. ∙

research

∙ 06/21/2021

FedCM: Federated Learning with Client-level Momentum

Federated Learning is a distributed machine learning approach which enab...

15 Jing Xu, et al. ∙

research

∙ 04/12/2021

Radar SLAM: A Robust SLAM System for All Weather Conditions

A Simultaneous Localization and Mapping (SLAM) system must be robust to ...

0 Ziyang Hong, et al. ∙

research

∙ 04/12/2021

How Sensitive are Meta-Learners to Dataset Imbalance?

Meta-Learning (ML) has proven to be a useful tool for training Few-Shot ...

29 Mateusz Ochal, et al. ∙

research

∙ 04/11/2021

NOMA for Next-generation Massive IoT: Performance Potential and Technology Directions

Broader applications of the Internet of Things (IoT) are expected in the...

0 Yifei Yuan, et al. ∙

research

∙ 01/20/2021

Semantic Disentangling Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...

10 Zhi Chen, et al. ∙

research

∙ 01/07/2021

Few-Shot Learning with Class Imbalance

Few-shot learning aims to train models on a limited number of labeled sa...

45 Mateusz Ochal, et al. ∙

research

∙ 11/19/2020

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

In this paper, we teach machines to understand visuals and natural langu...

0 Yujie Zhong, et al. ∙

research

∙ 10/18/2020

RADIATE: A Radar Dataset for Automotive Perception

Datasets for autonomous cars are essential for the development and bench...

11 Marcel Sheeny, et al. ∙

research

∙ 09/24/2020

BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes

Electronic health records (EHRs) are longitudinal records of a patient's...

0 Xueping Peng, et al. ∙

research

∙ 07/30/2020

Action2Motion: Conditioned Generation of 3D Human Motions

Action recognition is a relatively established task, where givenan input...

9 Chuan Guo, et al. ∙

research

∙ 07/27/2020

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

Zero-shot learning (ZSL) is commonly used to address the very pervasive ...

4 Zhi Chen, et al. ∙

research

∙ 07/17/2020

3D Human Shape Reconstruction from a Polarization Image

This paper tackles the problem of estimating 3D body shape of clothed hu...

52 Shihao Zou, et al. ∙

research

∙ 06/07/2020

Multi-Task Reinforcement Learning based Mobile Manipulation Control for Dynamic Object Tracking and Grasping

Agile control of mobile manipulator is challenging because of the high c...

15 Cong Wang, et al. ∙

research

∙ 06/05/2020

SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images

In this paper, we propose a novel approach to reconstruct 3D human body ...

0 Xinxin Zuo, et al. ∙

research

∙ 05/10/2020

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

Deep convolutional neural networks have shown to perform well in underwa...

0 Mateusz Ochal, et al. ∙

research

∙ 05/05/2020

RadarSLAM: Radar based Large-Scale SLAM in All Weathers

Numerous Simultaneous Localization and Mapping (SLAM) algorithms have be...

0 Ziyang Hong, et al. ∙

research

∙ 04/30/2020

Polarization Human Shape and Pose Dataset

Polarization images are known to be able to capture polarized reflected ...

14 Shihao Zou, et al. ∙

research

∙ 03/12/2020

ZSTAD: Zero-Shot Temporal Activity Detection

An integral part of video analysis and surveillance is temporal activity...

12 Lingling Zhang, et al. ∙

research

∙ 03/02/2020

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

Chinese calligraphy is a unique art form with great artistic value but d...

11 Sen Wang, et al. ∙

research

∙ 02/20/2020

PA-Cache: Learning-based Popularity-Aware Content Caching in Edge Networks

With the aggressive growth of smart environments, a large amount of data...

0 Qilin Fan, et al. ∙

research

∙ 02/09/2020

Privacy-Preserving Image Classification in the Local Setting

Image data has been greatly produced by individuals and commercial vendo...

0 Sen Wang, et al. ∙

research

∙ 02/06/2020

Privacy-Preserving Boosting in the Local Setting

In machine learning, boosting is one of the most popular methods that de...

0 Sen Wang, et al. ∙

Sen Wang

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