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ORCIDImaging and Multimedia Analytics at the Edge 2023: San Francisco, CA, USA
- Imaging and Multimedia Analytics at the Edge 2023, San Francisco, CA, USA, January 15-19, 2023. Society for Imaging Science and Technology 2023
Article
- Wenjin Fu, Yue Han
, Jiangpeng He, Sriram Baireddy, Mridul Gupta, Fengqing Zhu:
Conditional synthetic food image generation. 1-6 - Andrew Peng, Jiangpeng He, Fengqing Zhu:
Self-supervised visual representation learning on food images. 1-6 - Yezhi Shen, Weichen Xu, Qian Lin, Jan P. Allebach, Fengqing Zhu:
Depth assisted portrait video background blurring. 1-6 - Shengtai Ju, Amy R. Reibman, Amanda J. Deering:
Robust hand hygiene monitoring for food safety using hand images. 1-6 - Ling Li, Bandara Dissanayake, Tatsuya Omotezako, Yunjie Zhong, Qing Zhang, Rizhao Cai, Qian Zheng, Dennis Sng, Weisi Lin, Yufei Wang, Alex C. Kot:
Evaluating the efficacy of skincare product: A realistic short-term facial pore simulation. 1-6 - Manu Ramesh, Amy R. Reibman, Jacquelyn P. Boerman:
Eidetic recognition of cattle using keypoint alignment. 1-6 - Haoyu Chen, Stacy M. Lindshield, Amy R. Reibman:
Challenges and constraints when applying few shot learning to a real-world scenario: In-the-wild camera-trap species classification. 1-6 - Shanmukha Yenneti, Yan-Ming Chiou, Bob Price:
Lightweight single pass numerical reading extraction for displays in the wild. 1-4 - Yan-Ming Chiou, Bob Price:
Robust tracking of industrial objects across environments from small samples in single environments using chroma-key and occlusion augmentations. 1-5
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