4 papers
EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video
Yuan Zeng, Yujia Shi, Tiao Tan +6
Estimating full-hand grasp pressure from egocentric video is critical for immersive VR and robotic manipulation, yet dense tactile sensing often relies on intrusive hardware. Exist…
PathoSCOPE: Few-Shot Pathology Detection via Self-Supervised Contrastive Learning and Pathology-Informed Synthetic Embeddings
Sinchee Chin, Yinuo Ma, Xiaochen Yang +2
Unsupervised pathology detection trains models on non-pathological data to flag deviations as pathologies, offering strong generalizability for identifying novel diseases and avoid…
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection
Sinchee Chin, Fan Zhang, Xiaochen Yang +5
Time Series Anomaly Detection (TSAD) is essential for uncovering rare and potentially harmful events in unlabeled time series data. Existing methods are highly dependent on clean,…
BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network
Zongkai Zhang, Zidong Xu, Wenming Yang +2
Existing 3D occupancy networks demand significant hardware resources, hindering the deployment of edge devices. Binarized Neural Networks (BNN) offer substantially reduced computat…