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2024

Conference Publication

GTP-ViT: efficient vision transformers via graph-based token propagation

Xu, Xuwei, Wang, Sen, Chen, Yudong, Zheng, Yanping, Wei, Zhewei and Liu, Jiajun (2024). GTP-ViT: efficient vision transformers via graph-based token propagation. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 3-8 January 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/wacv57701.2024.00016

GTP-ViT: efficient vision transformers via graph-based token propagation

2024

Conference Publication

Why only text: empowering vision-and-language navigation with multi-modal prompts

Hong, Haodong, Wang, Sen, Huang, Zi, Wu, Qi and Liu, Jiajun (2024). Why only text: empowering vision-and-language navigation with multi-modal prompts. 33rd International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 3-9 August 2024. Palo Alto, CA, United States: AAAI Press. doi: 10.24963/ijcai.2024/93

Why only text: empowering vision-and-language navigation with multi-modal prompts

2023

Conference Publication

No token left behind: efficient vision transformer via dynamic token idling

Xu, Xuwei, Li, Changlin, Chen, Yudong, Chang, Xiaojun, Liu, Jiajun and Wang, Sen (2023). No token left behind: efficient vision transformer via dynamic token idling. 36th Australasian Joint Conference on Artificial Intelligence, Brisbane, QLD Australia, 28 November-1 December 2023. Singapore: Springer. doi: 10.1007/978-981-99-8388-9_3

No token left behind: efficient vision transformer via dynamic token idling

2023

Conference Publication

SkySea: connecting satellite, UAV and underwater imagery for benthic habitat mapping

Do, Brendan, Liu, Jiajun, Wang, Ziwei, Kusy, Brano, Merz, Torsten, Steven, Andy, Carlin, Geoffrey, Crosswell, Joseph, Li, Yang, Mortimer, Nicholas, Nayyeri, Fereshteh, Vanderklift, Mat and Wilson, Mark (2023). SkySea: connecting satellite, UAV and underwater imagery for benthic habitat mapping. 31st ACM International Conference on Multimedia, Ottawa, ON Canada, 2 November 2023. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3607834.3616570

SkySea: connecting satellite, UAV and underwater imagery for benthic habitat mapping

2023

Conference Publication

Object detection difficulty: suppressing over-aggregation for faster and better video object detection

Zhang, Bingqing, Wang, Sen, Liu, Yifan, Kusy, Brano, Li, Xue and Liu, Jiajun (2023). Object detection difficulty: suppressing over-aggregation for faster and better video object detection. 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3612090

Object detection difficulty: suppressing over-aggregation for faster and better video object detection

2023

Conference Publication

OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision

Zhang, Shujie, Zheng, Tianyue, Chen, Zhe, Hu, Jingzhi, Khamis, Abdelwahed, Liu, Jiajun and Luo, Jun (2023). OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision. 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 1-6 October 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccv51070.2023.01387

OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision

2023

Conference Publication

Decoupled graph neural networks for large dynamic graphs

Zheng, Yanping, Wei, Zhewei and Liu, Jiajun (2023). Decoupled graph neural networks for large dynamic graphs. 49th International Conference on Very Large Data Bases, Vancouver, BC, Canada, 28 August-1 September 2023. New York, NY United States: Association for Computing Machinery. doi: 10.14778/3598581.3598595

Decoupled graph neural networks for large dynamic graphs

2023

Conference Publication

Plug n' play channel shuffle module for enhancing tiny vision transformers

Xu, Xuwei, Wang, Sen, Chen, Yudong and Liu, Jiajun (2023). Plug n' play channel shuffle module for enhancing tiny vision transformers. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, NSW, Australia, 28 November - 1 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA60407.2023.00066

Plug n' play channel shuffle module for enhancing tiny vision transformers

2022

Conference Publication

A real-time edge-AI system for reef surveys

Li, Yang, Liu, Jiajun, Kusy, Brano, Marchant, Ross, Do, Brendan, Merz, Torsten, Crosswell, Joey, Steven, Andy, Tychsen-Smith, Lachlan, Ahmedt-Aristizabal, David, Oorloff, Jeremy, Moghadam, Peyman, Babcock, Russ, Malpani, Megha and Oerlemans, Ard (2022). A real-time edge-AI system for reef surveys. ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW Australia, 17-21 October 2022. New York, NY, USA: ACM. doi: 10.1145/3495243.3558278

A real-time edge-AI system for reef surveys

2022

Conference Publication

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

Li, Yaxian, Zhang, Bingqing, Zhao, Guoping, Zhang, Mingyu, Liu, Jiajun, Wang, Ziwei and Wen, Jirong (2022). InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee. 31st International Conference on Artificial Neural Networks, ICANN 2022, Bristol, United Kingdom, 6–9 September 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-15934-3_14

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

2022

Conference Publication

Instant Graph Neural Networks for Dynamic Graphs

Zheng, Yanping, Wang, Hanzhi, Wei, Zhewei, Liu, Jiajun and Wang, Sibo (2022). Instant Graph Neural Networks for Dynamic Graphs. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KKD), Washington Dc, Aug 14-18, 2022. NEW YORK: Association for Computing Machinery. doi: 10.1145/3534678.3539352

Instant Graph Neural Networks for Dynamic Graphs

2022

Conference Publication

Integrating Dependency Tree into Self-Attention for Sentence Representation

Ma, Junhua, Li, Jiajun, Liu, Yuxuan, Zhou, Shangbo and Li, Xue (2022). Integrating Dependency Tree into Self-Attention for Sentence Representation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 23-27 May 2022. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICASSP43922.2022.9747221

Integrating Dependency Tree into Self-Attention for Sentence Representation

2022

Conference Publication

A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition

Rajapakshe, Thejan, Rana, Rajib, Khalifa, Sara, Liu, Jiajun and Schuller, Bjorn (2022). A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition. Association for Computing Machinery. doi: 10.1145/3511616.3513104

A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition

2022

Conference Publication

STAR-GNN: spatial-temporal video representation for content-based retrieval

Zhao, Guoping, Zhang, Bingqing, Zhang, Mingyu, Li, Yaxian, Liu, Jiajun and Wen, Ji-Rong (2022). STAR-GNN: spatial-temporal video representation for content-based retrieval. 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, 18-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICME52920.2022.9859598

STAR-GNN: spatial-temporal video representation for content-based retrieval

2022

Conference Publication

Improved feature distillation via projector ensemble

Chen, Yudong, Wang, Sen, Liu, Jiajun, Xu, Xuwei, de Hoog, Frank and Huang, Zi (2022). Improved feature distillation via projector ensemble. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, United States, 29 November-1 December 2022. New Orleans, LA, United States: Neural information processing systems foundation. doi: 10.52202/068431-0878

Improved feature distillation via projector ensemble

2022

Conference Publication

EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain

Patel, Vatsal, Rajasegarar, Sutharshan, Pan, Lei, Liu, Jiajun and Zhu, Liming (2022). EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain. Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-031-22064-7_32

EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain

2021

Conference Publication

PathSAGE: Spatial Graph Attention Neural Networks with Random Path Sampling

Ma, Junhua, Li, Jiajun, Li, Xueming and Li, Xu (2021). PathSAGE: Spatial Graph Attention Neural Networks with Random Path Sampling. 28th International Conference on Neural Information Processing ICONIP 2021, Bali, Indonesia, 8–12 December 2021. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-92270-2_10

PathSAGE: Spatial Graph Attention Neural Networks with Random Path Sampling

2019

Conference Publication

RUM: Network representation learning using motifs

Yu, Yanlei, Lu, Zhiwu, Liu, Jiajun, Zhao, Guoping and Wen, Ji-Rong (2019). RUM: Network representation learning using motifs. IEEE Computer Society. doi: 10.1109/ICDE.2019.00125

RUM: Network representation learning using motifs

2018

Conference Publication

Skip-Connected Deep Convolutional Autoencoder for Restoration of Document Images

Zhao, Guoping, Liu, Jiajun, Jiang, Jiacheng, Guan, Hua and Wen, Ji-Rong (2018). Skip-Connected Deep Convolutional Autoencoder for Restoration of Document Images. Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICPR.2018.8546199

Skip-Connected Deep Convolutional Autoencoder for Restoration of Document Images

2018

Conference Publication

Improving Person Re-identification by Body Parts Segmentation Generated by GAN

Zhao, Guoping, Jiang, Jiacheng, Liu, Jiajun, Yu, Yanlei and Wen, Ji-Rong (2018). Improving Person Re-identification by Body Parts Segmentation Generated by GAN. Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/IJCNN.2018.8489450

Improving Person Re-identification by Body Parts Segmentation Generated by GAN