no code implementations • 14 Dec 2023 • Frank P. -W. Lo, Jianing Qiu, Zeyu Wang, Junhong Chen, Bo Xiao, Wu Yuan, Stamatia Giannarou, Gary Frost, Benny Lo
Although artificial intelligence (AI)-based solutions have been devised to automate the dietary assessment process, these prior AI methodologies encounter challenges in their ability to generalize across a diverse range of food types, dietary behaviors, and cultural contexts.
no code implementations • 8 Oct 2023 • Jianing Qiu, Jian Wu, Hao Wei, Peilun Shi, Minqing Zhang, Yunyun Sun, Lin Li, Hanruo Liu, Hongyi Liu, Simeng Hou, Yuyang Zhao, Xuehui Shi, Junfang Xian, Xiaoxia Qu, Sirui Zhu, Lijie Pan, Xiaoniao Chen, Xiaojia Zhang, Shuai Jiang, Kebing Wang, Chenlong Yang, Mingqiang Chen, Sujie Fan, Jianhua Hu, Aiguo Lv, Hui Miao, Li Guo, Shujun Zhang, Cheng Pei, Xiaojuan Fan, Jianqin Lei, Ting Wei, Junguo Duan, Chun Liu, Xiaobo Xia, Siqi Xiong, Junhong Li, Benny Lo, Yih Chung Tham, Tien Yin Wong, Ningli Wang, Wu Yuan
To be commensurate with this capacity, in addition to the real data used for pre-training, we also generated and leveraged synthetic ophthalmic imaging data.
no code implementations • 6 Apr 2023 • James Calo, Benny Lo
The system is designed for three paradigms: 1) Training neural networks on IoT devices to allow for collaborative training of a shared model whilst decoupling the learning from the dataset to ensure privacy.
1 code implementation • 21 Mar 2023 • Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P. -W. Lo, Bo Xiao, Wu Yuan, Ningli Wang, Dong Xu, Benny Lo
Large AI models, or foundation models, are models recently emerging with massive scales both parameter-wise and data-wise, the magnitudes of which can reach beyond billions.
no code implementations • 8 Feb 2023 • Peilun Shi, Jiachuan Peng, Jianing Qiu, Xinwei Ju, Frank Po Wen Lo, Benny Lo
Comprehensive experiments have been conducted, and the impact of different adverse weather combinations on the performance of framework has also been investigated.
no code implementations • 15 Oct 2022 • Xinwei Ju, Frank Po Wen Lo, Jianing Qiu, Peilun Shi, Jiachuan Peng, Benny Lo
The promising results, with accuracy ranging from 77. 2% to 99. 5%, have demonstrated the great potential of LTR model in addressing food recommendation problems.
1 code implementation • 8 Oct 2022 • Yuxuan Shu, Xiao Gu, Guang-Zhong Yang, Benny Lo
The success of most advanced facial expression recognition works relies heavily on large-scale annotated datasets.
no code implementations • 25 Aug 2022 • Jiachuan Peng, Peilun Shi, Jianing Qiu, Xinwei Ju, Frank P. -W. Lo, Xiao Gu, Wenyan Jia, Tom Baranowski, Matilda Steiner-Asiedu, Alex K. Anderson, Megan A McCrory, Edward Sazonov, Mingui Sun, Gary Frost, Benny Lo
By clustering images into separate events, annotators and dietitians can examine and analyze the data more efficiently and facilitate the subsequent dietary assessment processes.
1 code implementation • 20 Jul 2022 • Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang
Two new datasets were proposed for this problem, named AWA2-LTS and ImageNet-LTS.
1 code implementation • 8 Jul 2022 • Jianing Qiu, Frank P. -W. Lo, Yingnan Sun, Siyao Wang, Benny Lo
Taking inspiration from Adversarial Erasing, a strategy that progressively discovers discriminative object regions for weakly supervised semantic segmentation, we propose a novel network architecture in which a primary network maintains the base accuracy of classifying an input image, an auxiliary network adversarially mines discriminative food regions, and a region network classifies the resulting mined regions.
no code implementations • 11 Apr 2022 • Ruiqi Zhu, Dandan Zhang, Benny Lo
In recent decades, the tremendous benefits surgical robots have brought to surgeons and patients have been witnessed.
1 code implementation • 1 Nov 2021 • Jianing Qiu, Lipeng Chen, Xiao Gu, Frank P. -W. Lo, Ya-Yen Tsai, Jiankai Sun, Jiaqi Liu, Benny Lo
To this end, a novel egocentric human trajectory forecasting dataset was constructed, containing real trajectories of people navigating in crowded spaces wearing a camera, as well as extracted rich contextual data.
2 code implementations • 3 Sep 2021 • Xiao Gu, Jianxin Yang, Hanxiao Zhang, Jianing Qiu, Frank Po Wen Lo, Yao Guo, Guang-Zhong Yang, Benny Lo
It can generalize well on the real-world data from all the other unseen views.
1 code implementation • 28 Jul 2021 • Xiao Gu, Jianing Qiu, Yao Guo, Benny Lo, Guang-Zhong Yang
In this report, the technical details of our submission to the EPIC-Kitchens Action Anticipation Challenge 2021 are given.
no code implementations • 1 Jul 2021 • Jianing Qiu, Frank P. -W. Lo, Xiao Gu, Modou L. Jobarteh, Wenyan Jia, Tom Baranowski, Matilda Steiner-Asiedu, Alex K. Anderson, Megan A McCrory, Edward Sazonov, Mingui Sun, Gary Frost, Benny Lo
In this paper, we propose a privacy-preserved secure solution (i. e., egocentric image captioning) for dietary assessment with passive monitoring, which unifies food recognition, volume estimation, and scene understanding.
no code implementations • 7 May 2021 • Frank Po Wen Lo, Modou L Jobarteh, Yingnan Sun, Jianing Qiu, Shuo Jiang, Gary Frost, Benny Lo
Malnutrition is a major public health concern in low-and-middle-income countries (LMICs).
no code implementations • 2 May 2021 • Dandan Zhang, Ruoxi Wang, Benny Lo
It can provide explainable results by showing the regions of the surgical images that have a strong relationship with the surgical gesture classification results.
no code implementations • 6 Mar 2021 • Jianing Qiu, Frank P. -W. Lo, Xiao Gu, Yingnan Sun, Shuo Jiang, Benny Lo
Accurate prediction of future person location and movement trajectory from an egocentric wearable camera can benefit a wide range of applications, such as assisting visually impaired people in navigation, and the development of mobility assistance for people with disability.
no code implementations • 8 Nov 2020 • Ruoxi Wang, Dandan Zhang, QingBiao Li, Xiao-Yun Zhou, Benny Lo
In Robot-Assisted Minimally Invasive Surgery (RAMIS), a camera assistant is normally required to control the position and zooming ratio of the laparoscope, following the surgeon's instructions.