no code implementations • 15 Nov 2024 • Faith Johnson, Bryan Bo Cao, Ashwin Ashok, Shubham Jain, Kristin Dana
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.
1 code implementation • 2 Nov 2024 • Bryan Bo Cao, Lawrence O'Gorman, Michael Coss, Shubham Jain
FCA offers a new tool for efficient machine learning in the Few-Class Regime, with goals ranging from a new efficient class similarity proposal, to lightweight model architecture design, to a new scaling law.
no code implementations • 15 Oct 2024 • Bryan Bo Cao, Abhinav Sharma, Manavjeet Singh, Anshul Gandhi, Samir Das, Shubham Jain
The re-evaluation of a merged model's performance, however, requires a validation dataset with ground truth, typically runs at the cloud.
no code implementations • 9 Apr 2024 • Bryan Bo Cao, Abhinav Sharma, Lawrence O'Gorman, Michael Coss, Shubham Jain
We show how a practitioner can use this measure to help select an efficient model 6 to 29x faster than through repeated training and testing.
no code implementations • 22 Feb 2024 • Faith Johnson, Bryan Bo Cao, Kristin Dana, Shubham Jain, Ashwin Ashok
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.
no code implementations • 19 Feb 2024 • Faith Johnson, Bryan Bo Cao, Ashwin Ashok, Shubham Jain, Kristin Dana
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.
1 code implementation • MobiCom ISACom 2023 • Bryan Bo Cao, Abrar Alali, Hansi Liu, Nicholas Meegan, Marco Gruteser, Kristin Dana, Ashwin Ashok, Shubham Jain
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.
no code implementations • 24 Aug 2023 • Bryan Bo Cao, Lawrence O'Gorman, Michael Coss, Shubham Jain
We examine how the choice of data-side attributes for two important visual tasks of image classification and object detection can aid in the choice or design of lightweight convolutional neural networks.
1 code implementation • IEEE International Conference on Sensing, Communication, and Networking 2022 • Bryan Bo Cao, Abrar Alali, Hansi Liu, Nicholas Meegan, Marco Gruteser, Kristin Dana, Ashwin Ashok, Shubham Jain
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.
1 code implementation • ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) 2022 • Hansi Liu, Abrar Alali, Mohamed Ibrahim, Bryan Bo Cao, Nicholas Meegan, Hongyu Li, Marco Gruteser, Shubham Jain, Kristin Dana, Ashwin Ashok, Bin Cheng, HongSheng Lu
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).