Search Results for author:
Found 3 papers, 1 papers with code
Designing A Sustainable Marine Debris Clean-up Framework without Human Labels
The framework uses Grounding DINO, a transformer-based zero-shot object detector, and CLIP, a vision-language model for zero-shot object classification, enabling the detection and classification of debris objects based on material type without the need for training labels.
Parameter Selection for Analyzing Conversations with Autism Spectrum Disorder
The diagnosis of autism spectrum disorder (ASD) is a complex, challenging task as it depends on the analysis of interactional behaviors by psychologists rather than the use of biochemical diagnostics.
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams
We show that by learning a representation specifically with the segmentation objective based on maximum mean discrepancy (MMD), our algorithm can robustly detect time-series events across different applications.
