Ziwei Wang

According to our database, Ziwei Wang authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring.

Jia Syuen Lim, Ziwei Wang, Jiajun Liu, Abdelwahed Khamis, Reza Arablouei, Robert Barlow, Ryan McAllister

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

SkySea: Connecting Satellite, UAV and Underwater Imagery for Benthic Habitat Mapping.

Brendan Do, Jiajun Liu, Ziwei Wang, Brano Kusy, Torsten Merz, Andy Steven, Geoffrey Carlin, Joseph Crosswell, Yang Li, Nicholas Mortimer, Fereshteh Nayyeri, Mat Vanderklift, Mark Wilson

Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 2023

Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds.

Ziwei Wang, Reza Arablouei, Jiajun Liu, Paulo Borges, Greg Bishop-Hurley, Nicholas Heaney

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Multi-modal Sensor Data Fusion for In-situ Classification of Animal Behavior Using Accelerometry and GNSS Data.

Reza Arablouei, Ziwei Wang, Greg Bishop-Hurley, Jiajun Liu

CoRR, 2022

Multi-modal sensing for behaviour recognition.

Ziwei Wang, Jiajun Liu, Reza Arablouei, Greg Bishop-Hurley, Melissa Matthews, Paulo Borges

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee.

Yaxian Li, Bingqing Zhang, Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ziwei Wang, Jirong Wen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Multimedia content analytics with modality transition

Ziwei Wang

PhD thesis, 2021

Enhanced Modality Transition for Image Captioning.

Ziwei Wang, Yadan Luo, Zi Huang

CoRR, 2021

2020

ORD: Object Relationship Discovery for Visual Dialogue Generation.

Ziwei Wang, Zi Huang, Yadan Luo, Huimin Lu

CoRR, 2020

Human Consensus-Oriented Image Captioning.

Ziwei Wang, Zi Huang, Yadan Luo

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

PAIC: Parallelised Attentive Image Captioning.

Ziwei Wang, Zi Huang, Yadan Luo

Proceedings of the Databases Theory and Applications, 2020

Semi-supervised Cross-Modal Hashing with Graph Convolutional Networks.

Jiasheng Duan, Yadan Luo, Ziwei Wang, Zi Huang

Proceedings of the Databases Theory and Applications, 2020

Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks.

Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling.

Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang

CoRR, 2019

Snap and Find: Deep Discrete Cross-domain Garment Image Retrieval.

Yadan Luo, Ziwei Wang, Zi Huang, Yang Yang, Huimin Lu

CoRR, 2019

Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation.

Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Jingjing Li, Yang Yang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

Look Deeper See Richer: Depth-aware Image Paragraph Captioning.

Ziwei Wang, Yadan Luo, Yang Li, Zi Huang, Hongzhi Yin

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning.

Yadan Luo, Ziwei Wang, Zi Huang, Yang Yang, Cong Zhao

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016

Classification of Movement of People with Parkinsons Disease Using Wearable Inertial Movement Units and Machine Learning.

David Ireland, Ziwei Wang, Robyn Lamont, Jacki Liddle

Proceedings of the Digital Health Innovation for Consumers, Clinicians, Connectivity and Community, 2016