Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Sipeng Zheng
About me
Page not in menu
This is a page not in th emain menu
Posts
WASP: An R package for complex system modelling and prediction
Published:
The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. A supporting open-source software, Wavelet System Prediction (WASP), can be found under page of Software.
GitHub Pages: A site to host your personal homepage
Published:
GitHub Pages is a static site hosting service that takes HTML, CSS, and JavaScript files straight from a repository on GitHub, optionally runs the files through a build process, and publishes a website.
Word Cloud: A tool of visualization, communication and insights
Published:
A word cloud is a collection or cluster of words described in different sizes. The larger the word appears, the more times it is mentioned in a given text, and the more important it is.
Word to Latex: Writing papers the right way
Published:
LaTeX is a document preparation system for high-quality typesetting. It is most often used for medium-to-large technical or scientific documents, but it can be used for almost any form of publishing.
people
Sipeng Zheng
Expertise in Hydro-climatology 
projects
Climate Change: Impact on agriculture across Southeast Asia
Published:
Singapore-MIT Alliance project and World Bank project 
Climate Change: Impact on urban flooding in Singapore
Published:
Public Utilities Board (PUB) project 
ABC Waters: Low impact development (LID) for Singapore environment
Published:
PUB-TMSI-Monash University project 
Drought Prediction across Australia
Published:
ARC linkage grant and Department of Industry, NSW, Australia 
publications
Relation understanding in videos
Published in Proceedings of the 27th ACM International Conference on Multimedia, 2019
This paper proposes a effective video relation detection model.
Recommended citation: S Zheng, X Chen, S Chen, Q Jin. "Relation understanding in videos." 2019 Proceedings of the 27th ACM International Conference on Multimedia. 2662-2666. https://dl.acm.org/doi/abs/10.1145/3343031.3356080
Visual relation detection with multi-level attention
Published in Proceedings of the 27th ACM International Conference on Multimedia, 2019
This paper proposes a multi-level attention visual relation detection model for visual relation detection.
Recommended citation: S Zheng, S Chen, Q Jin. "Visual relation detection with multi-level attention." 2019 Proceedings of the 27th ACM International Conference on Multimedia. 121-129. https://dl.acm.org/doi/abs/10.1145/3343031.3350962
Skeleton-based interactive graph network for human object interaction detection
Published in IEEE International Conference on Multimedia and Expo, 2020
This paper proposes a skeleton-based interactive graph network for human-object interaction.
Recommended citation: S Zheng, S Chen, Q Jin. "Skeleton-based interactive graph network for human object interaction detection." 2020 IEEE International Conference on Multimedia and Expo (ICME). 1-6. https://ieeexplore.ieee.org/document/9102755
Exploring anchor-based detection for ego4d natural language query
Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop 2022, 2022
This paper proposes an egocentric framework for natural language query.
Recommended citation: S Zheng, Q Zhang, B Liu, Q Jin, J Fu. "Exploring anchor-based detection for ego4d natural language query." 2022 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop. https://arxiv.org/abs/2208.05375
VRDFormer: End-to-end video visual relation detection with transformer
Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
This paper proposes the first end2end framework for visual relation detection.
Recommended citation: S Zheng, S Chen, Q Jin. "VRDFormer: End-to-end video visual relation detection with transformer." 2022 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 18836-18846. https://openaccess.thecvf.com/content/CVPR2022/papers/Zheng_VRDFormer_End-to-End_Video_Visual_Relation_Detection_With_Transformers_CVPR_2022_paper.pdf
Few-shot Action Recognition with Hierarchical Matching and Contrastive Learning
Published in European Conference on Computer Vision, 2022
This paper proposes a hierarchical matching model for few-shot action recognition.
Recommended citation: S Zheng, S Chen, Q Jin. "Few-shot Action Recognition with Hierarchical Matching and Contrastive Learning." 2022 European Conference on Computer Vision. 297-313. https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136640293.pdf
Anchor-Based Detection for Natural Language Localization in Ego-Centric Videos
Published in 2023 IEEE International Conference on Consumer Electronics (ICCE), 2023
This paper proposes a anchor-based detection method for ego-centric natural language localization.
Recommended citation: B Liu, S Zheng, J Fu, WH Cheng. "Anchor-Based Detection for Natural Language Localization in Ego-Centric Videos." 2023 IEEE International Conference on Consumer Electronics (ICCE). 01-04. https://ieeexplore.ieee.org/abstract/document/10043460/
Accommodating audio modality in CLIP for multimodal processing
Published in Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
This paper proposes a large pretrained model for vision, text and audio modalities.
Recommended citation: L Ruan, A Hu, Y Song, L Zhang, S Zheng, Q Jin. "Accommodating audio modality in CLIP for multimodal processing." 2023 Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence. 7 - 14. https://ojs.aaai.org/index.php/AAAI/article/view/26153/25925
No-frills Temporal Video Grounding: Multi-Scale Neighboring Attention and Zoom-in Boundary Detection
Published in arXiv preprint, 2023
This paper proposes an effective no-frill framework for temporal video grounding.
Recommended citation: Q Zhang, S Zheng, Q Jin. "No-frills Temporal Video Grounding: Multi-Scale Neighboring Attention and Zoom-in Boundary Detection." 2023 arXiv preprint. arXiv:2307.10567. https://arxiv.org/abs/2307.10567
Open-Category Human-Object Interaction Pre-Training via Language Modeling Framework
Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
This paper proposes an open-category pre-trained model for human-object interaction understanding.
Recommended citation: S Zheng, B Xu, Q Jin. "Open-Category Human-Object Interaction Pre-Training via Language Modeling Framework." 2023 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 19392-19402. https://openaccess.thecvf.com/content/CVPR2023/papers/Zheng_Open-Category_Human-Object_Interaction_Pre-Training_via_Language_Modeling_Framework_CVPR_2023_paper.pdf
POV: Prompt-Oriented View-agnostic Learning for Egocentric Hand-Object Interaction in the Multi-view World
Published in Proceedings of the 31st ACM International Conference on Multimedia, 2023
This paper propose a prompt-oriented view-agnostic learning framework for multi-view action understanding.
Recommended citation: B Xu, S Zheng, Q Jin. "POV: Prompt-Oriented View-agnostic Learning for Egocentric Hand-Object Interaction in the Multi-view World." 2023 Proceedings of the 31st ACM International Conference on Multimedia. 2807-2816. https://doi.org/10.1007/s00704-018-2617-z
LLaMA Rider: Spurring Large Language Models to Explore the Open World
Published in arXiv preprint, 2023
This paper proposes a self-driven framework for LLM-based agents in open worlds.
Recommended citation: Y Feng, Y Wang, J Liu, S Zheng, Z Lu. "LLaMA Rider: Spurring Large Language Models to Explore the Open World." 2023 arXiv preprint. arXiv:2310.08922. https://arxiv.org/abs/2310.08922
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
Published in arXiv preprint, 2023
This paper proposes the first large multi-modal model for open-world agents in Minecraft.
Recommended citation: S Zheng, J Liu, Y Feng, Z Lu. "Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds." 2023 arXiv preprint. arXiv:2310.13255. https://arxiv.org/abs/2310.13255
software
Predictor identifier: Nonparametric PREDiction (NPRED)
The open-source R package NPRED is used to identify the meaningful predictors to the response from a large set of potential predictors.
WASP: Wavelet System Prediction
The open-source software WASP is used for system modeling and prediction.
WQM: Wavelet-based Quantile Mapping
The open-source software WQM is used for post-processing numerical weather prediction.
synthesis: Generate Synthetic Data from Statistical Models
Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems.
talks
Urban Surface Characteristics Study Using Time-area Function Model: A Case Study in Saudi Arabia
Published:
Recommended citation: Jiang, Z., Molkenthin, F., & Sieker, H. (2016). Urban Surface Characteristics Study Using Time-area Function Model: A Case Study in Saudi Arabia. 12th International Conference on Hydroinformatics HIC 2016, Poster, Songdo Convensia Convention Center, 21-26 August 2016, FP-10.
teaching
CVEN3501 Water Resources Engineering
Undergraduate course, School of Civil and Environmental Engineering, UNSW Sydney, 2019
- Teaching period: T1, 2019
- Position: Teaching Assistant
- Role: Demonstrator and Tutor
- Number of students: 610
- Course Profile: Download
CVEN9625 Fundamentals of Water Engineering
Masters course, School of Civil and Environmental Engineering, UNSW Sydney, 2019
- Teaching period: S2, 2018; T1&3, 2019.
- Position: Teaching Assistant
- Role: Demonstrator and Tutor
- Number of students: ~200
- Course Profile: Download
CVEN9612 Catchment and Water Resources Modelling
Masters course, School of Civil and Environmental Engineering, UNSW Sydney, 2023
- Teaching period: T3, 2022 and 2023.
- Position: Teaching Assistant
- Role: Demonstrator and Instructor
- Number of students: ~20
- Course Profile: Download