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58 papers · 1 filter
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng, Cheng Han, James Liang +3
Monocular Depth Estimation (MDE) plays a vital role in applications such as autonomous driving. However, various attacks target MDE models, with physical attacks posing significant…
Towards Two-Stream Foveation-based Active Vision Learning
Timur Ibrayev, Amitangshu Mukherjee, Sai Aparna Aketi +1
Deep neural network (DNN) based machine perception frameworks process the entire input in a one-shot manner to provide answers to both "what object is being observed" and "where it…
HyperColorization: Propagating spatially sparse noisy spectral clues for reconstructing hyperspectral images
M. Kerem Aydin, Qi Guo, Emma Alexander
Hyperspectral cameras face challenging spatial-spectral resolution trade-offs and are more affected by shot noise than RGB photos taken over the same total exposure time. Here, we…
Muti-Stage Hierarchical Food Classification
Xinyue Pan, Jiangpeng He, Fengqing Zhu
Food image classification serves as a fundamental and critical step in image-based dietary assessment, facilitating nutrient intake analysis from captured food images. However, exi…
Diffusion Model with Clustering-based Conditioning for Food Image Generation
Yue Han, Jiangpeng He, Mridul Gupta +2
Image-based dietary assessment serves as an efficient and accurate solution for recording and analyzing nutrition intake using eating occasion images as input. Deep learning-based…
Visual Privacy: Current and Emerging Regulations Around Unconsented Video Analytics in Retail
Scott Pletcher
Video analytics is the practice of combining digital video data with machine learning models to infer various characteristics from that video. This capability has been used for yea…