61 citations · 200 across the 38 of their papers we have counts for
39 papers
Challenges in Video-Based Infant Action Recognition: A Critical Examination of the State of the Art
Elaheh Hatamimajoumerd, Pooria Daneshvar Kakhaki, Xiaofei Huang +3
Automated human action recognition, a burgeoning field within computer vision, boasts diverse applications spanning surveillance, security, human-computer interaction, tele-health,…
Subtle Signals: Video-based Detection of Infant Non-nutritive Sucking as a Neurodevelopmental Cue
Shaotong Zhu, Michael Wan, Sai Kumar Reddy Manne +2
Non-nutritive sucking (NNS), which refers to the act of sucking on a pacifier, finger, or similar object without nutrient intake, plays a crucial role in assessing healthy early de…
Automatic Infant Respiration Estimation from Video: A Deep Flow-based Algorithm and a Novel Public Benchmark
Sai Kumar Reddy Manne, Shaotong Zhu, Sarah Ostadabbas +1
Respiration is a critical vital sign for infants, and continuous respiratory monitoring is particularly important for newborns. However, neonates are sensitive and contact-based se…
Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving
Xiangyu Bai, Yedi Luo, Le Jiang +4
Modern autonomous systems require extensive testing to ensure reliability and build trust in ground vehicles. However, testing these systems in the real-world is challenging due to…
Temporal-controlled Frame Swap for Generating High-Fidelity Stereo Driving Data for Autonomy Analysis
Yedi Luo, Xiangyu Bai, Le Jiang +4
This paper presents a novel approach, TeFS (Temporal-controlled Frame Swap), to generate synthetic stereo driving data for visual simultaneous localization and mapping (vSLAM) task…
SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation
Le Jiang, Sarah Ostadabbas
Animal pose estimation has become a crucial area of research, but the scarcity of annotated data is a significant challenge in developing accurate models. Synthetic data has emerge…