Cosmo: contrastive fusion learning with small data for multimodal human activity recognition

X Ouyang, X Shuai, J Zhou, IW Shi, Z Xie… - Proceedings of the 28th …, 2022 - dl.acm.org
Human activity recognition (HAR) is a key enabling technology for a wide range of emerging
applications. Although multimodal sensing systems are essential for capturing complex and …

Augmenting Augmented Reality with {Non-Line-of-Sight} Perception

T Boroushaki, M Lam, L Dodds, A Eid… - 20th USENIX Symposium …, 2023 - usenix.org
We present the design, implementation, and evaluation of X-AR, an augmented reality (AR)
system with non-line-of-sight perception. X-AR augments AR headsets with RF sensing to …

A handheld fine-grained rfid localization system with complex-controlled polarization

L Dodds, I Perper, A Eid, F Adib - Proceedings of the 29th Annual …, 2023 - dl.acm.org
There is much interest in fine-grained RFID localization systems. Existing systems for
accurate localization typically require infrastructure, either in the form of extensive reference …

Constrained localization: A survey

T Savić, X Vilajosana, T Watteyne - IEEE Access, 2022 - ieeexplore.ieee.org
Indoor localization techniques have been extensively studied in the last decade. The well-
established technologies enable the development of Real-Time Location Systems (RTLS). A …

Fast, fine-grained, and robust grouping of rfids

M Jin, K Li, X Tian, X Wang, C Zhou - Proceedings of the 29th Annual …, 2023 - dl.acm.org
This paper presents the design, implementation, and evaluation of TaGroup, a fast, fine-
grained, and robust grouping technique for RFIDs. It can achieve a nearly 100% accuracy in …

[HTML][HTML] {AutoFR}: Automated Filter Rule Generation for Adblocking

H Le, J Hayes, S Elmalaki, M Nasr… - 32nd USENIX Security …, 2023 - usenix.org
USENIX Security '23 Technical Sessions | USENIX Sign In Conferences Attend Registration
Information Registration Discounts Grant Opportunities Venue, Hotel, and Travel Program …

MR Object Identification and Interaction: Fusing Object Situation Information from Heterogeneous Sources

J Strecker, K Akhunov, F Carbone, K García… - Proceedings of the …, 2023 - dl.acm.org
The increasing number of objects in ubiquitous computing environments creates a need for
effective object detection and identification mechanisms that permit users to intuitively …

Kinematically-decoupled impedance control for fast object visual servoing and grasping on quadruped manipulators

R Parosi, M Risiglione, DG Caldwell… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
We propose a control pipeline for SAG (Searching, Approaching, and Grasping) of objects,
based on a decoupled arm kinematic chain and impedance control, which integrates image …

Motion inspires notion: Self-supervised visual-LiDAR fusion for environment depth estimation

D Li, J Xu, Z Yang, Q Zhang, Q Ma, L Zhang… - Proceedings of the 20th …, 2022 - dl.acm.org
Environment depth estimation by fusing camera and radar enables a broad spectrum of
applications such as autonomous driving, environmental perception, context-aware …

Learning haptic-based object pose estimation for in-hand manipulation control with underactuated robotic hands

O Azulay, I Ben-David, A Sintov - IEEE Transactions on Haptics, 2022 - ieeexplore.ieee.org
Unlike traditional robotic hands, underactuated compliant hands are challenging to model
due to inherent uncertainties. Consequently, pose estimation of a grasped object is usually …