Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-7223-7926
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Axiu MAO is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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A Two-Stage Computer Vision Framework for Individual Recognition and Precision Data Collection Illustrated through Piglets in Farrowing Pens
Guo, C., Guo, Z., Ede, T., Lyu, L., He, Z., Mao, A., Parsons, T. D. & Liu, K., Sept 2024, 11th European Conference on Precision Livestock Farming (ECPLF 2024). European Conference on Precision Livestock Farming, p. 1698-1706 (European Conference on Precision Livestock Farming).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Automatic Detection of Feral Pigeons in Urban Environments Using Deep Learning
Guo, Z., He, Z., Lyu, L., Mao, A., Huang, E. & Liu, K., Jan 2024, In: Animals. 14, 1, 159.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile1 Citation (Scopus)137 Downloads (CityUHK Scholars) -
DeMVpp-YOLO: A lightweight pig behaviour detection model for improving pig health management in farrowing pens
Guo, Z., Lyu, L., He, Z., Guo, C., Mao, A., Huang, E. & Liu, K., Sept 2024, 11th European Conference on Precision Livestock Farming (ECPLF 2024). European Conference on Precision Livestock Farming, p. 1110-1117 (European Conference on Precision Livestock Farming).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Real-time pose estimation for suckling piglets using affordable surveillance cameras
He, Z., Guo, C., Guo, Z., Lyu, L., Mao, A., Huang, E. & Liu, K., Sept 2024, 11th European Conference on Precision Livestock Farming (ECPLF 2024). European Conference on Precision Livestock Farming, p. 1126-1133 (European Conference on Precision Livestock Farming).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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A semi-supervised generative adversarial network for amodal instance segmentation of piglets in farrowing pens
Huang, E., He, Z., Mao, A., Ceballos, M. C., Parsons, T. D. & Liu, K., Jun 2023, In: Computers and Electronics in Agriculture. 209, 107839.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
11 Citations (Scopus)
Prizes
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Silver Award of The 8th China International College Students' 'Internet +' Innovation and Entrepreneurship Competition
HUANG, E. (Recipient), MAO, A. (Recipient), GAN, H. (Recipient), YANG, Y. (Recipient), LEI, Z. (Recipient), SZE, C. N. (Recipient) & FAN, X. (Recipient), Nov 2022
Prize: RGC 64B - Prizes and awards
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Outstanding Graduate Student Paper and Presentation Award
MAO, A. (Recipient), 21 Oct 2021
Prize: RGC 64B - Prizes and awards
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Press/Media
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Deep learning tool improves chicken welfare by identifying distress calls
MCELLIGOTT, A. G., MAO, A. & LIU, K.
8/07/22 → 20/07/22
18 items of Media coverage
Press/Media: Press / Media
Activities
- 2 Conference / Symposium
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10th European Conference on Precision Livestock Farming (ECPLF 2022)
MAO, A. (Presenter)
29 Aug 2022 → 2 Sept 2022Activity: Organizing or Participating in a conference / an event › Conference / Symposium
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6th International Symposium on Animal Environment and Welfare (ISAEW 2021)
MAO, A. (Presenter)
21 Oct 2021Activity: Organizing or Participating in a conference / an event › Conference / Symposium
Thesis
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Towards Robust Animal Activity Recognition Using Deep Learning and Wearable Sensors
MAO, A. (Author), LIU, K. (Supervisor), 6 Sept 2023Student thesis: Doctoral Thesis