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- Video2.6 MBPublished By ACM
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation
Modeling in Computer Vision has evolved to MLPs. Vision MLPs naturally lack local modeling capability, to which the simplest treatment is combined with convolutional layers. Convolution, famous for its sliding window scheme, also suffers from this scheme ...
- Video89.1 MBPublished By ACM
Rapport Matters: Enhancing HIV mHealth Communication through Linguistic Analysis and Large Language Models
In HIV care, a strong rapport between patient and provider is essential for strengthening trust, enhancing therapy adherence, and ultimately leading to improved health outcomes. As the adoption of digital interactions in HIV care via mobile health (...
- Video247.3 MBPublished By ACM
Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks
Pinpointing the geographic location of an IP address is important for a range of location-aware applications spanning from targeted advertising to fraud prevention. The majority of traditional measurement-based and recent learning-based methods either ...
- Video03:196.3 MBPublished By ACM
Objectness Consistent Representation for Weakly Supervised Object Detection
Weakly supervised object detection aims at learning object detectors with only image-level category labels. Most existing methods tend to solve this problem by using a multiple instance learning detector which is usually trapped to discriminate object ...