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Found 11 papers, 4 papers with code
Revelio: A Real-World Screen-Camera Communication System with Visually Imperceptible Data Embedding
We present `Revelio', a real-world screen-camera communication system leveraging temporal flicker fusion in the OKLAB color space.
Memory Proxy Maps for Visual Navigation
Key to our approach is a memory proxy map (MPM), an intermediate representation of the environment learned in a self-supervised manner by the high-level manager agent that serves as a simplified memory, approximating what the agent has seen.
A Landmark-Aware Visual Navigation Dataset
However, recent advancements in the visual navigation field face challenges due to the lack of human datasets in the real world for efficient supervised representation learning of the environments.
Feudal Networks for Visual Navigation
We introduce a new approach to visual navigation using feudal learning, which employs a hierarchical structure consisting of a worker agent, a mid-level manager, and a high-level manager.
ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time Measurements
Tracking subjects in videos is one of the most widely used functions in camera-based IoT applications such as security surveillance, smart city traffic safety enhancement, vehicle to pedestrian communication and so on.
ViFiCon: Vision and Wireless Association Via Self-Supervised Contrastive Learning
We introduce ViFiCon, a self-supervised contrastive learning scheme which uses synchronized information across vision and wireless modalities to perform cross-modal association.
ViTag: Online WiFi Fine Time Measurements Aided Vision-Motion Identity Association in Multi-person Environments
ViTag associates a sequence of vision tracker generated bounding boxes with Inertial Measurement Unit (IMU) data and Wi-Fi Fine Time Measurements (FTM) from smartphones.
Vi-Fi: Associating Moving Subjects across Vision and Wireless Sensors
In this paper, we present Vi-Fi, a multi-modal system that leverages a user’s smartphone WiFi Fine Timing Measurements (FTM) and inertial measurement unit (IMU) sensor data to associate the user detected on a camera footage with their corresponding smartphone identifier (e. g. WiFi MAC address).
DeepLight: Robust & Unobtrusive Real-time Screen-Camera Communication for Real-World Displays
We show that a fully functional DeepLight system is able to robustly achieve high decoding accuracy (frame error rate < 0. 2) and moderately-high data goodput (>=0. 95Kbps) using a human-held smartphone camera, even over larger screen-camera distances (approx =2m).
A Data Set of Internet Claims and Comparison of their Sentiments with Credibility
Furthermore, we intend to create this data set not only for classification of the news but also to find patterns that reason the intent behind misinformation.
Optimal Radiometric Calibration for Camera-Display Communication
We present a novel method for communicating between a camera and display by embedding and recovering hidden and dynamic information within a displayed image.
