2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition -- And Ways to Overcome Them
Harish Haresamudram, Apoorva Beedu, Mashfiqui Rabbi +3
Cross-modal contrastive pre-training between natural language and other modalities, e.g., vision and audio, has demonstrated astonishing performance and effectiveness across a dive…
cs.CV2023★ 2 cited
Multimodal Contrastive Learning with Hard Negative Sampling for Human Activity Recognition
Hyeongju Choi, Apoorva Beedu, Irfan Essa
Human Activity Recognition (HAR) systems have been extensively studied by the vision and ubiquitous computing communities due to their practical applications in daily life, such as…