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10/06/2022
Enabling Deep Learning on Edge Devices
Deep neural networks (DNNs) have succeeded in many different perception ...
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07/01/2022
DRESS: Dynamic REal-time Sparse Subnets
The limited and dynamically varied resources on edge devices motivate us...
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06/25/2022
p-Meta: Towards On-device Deep Model Adaptation
Data collected by IoT devices are often private and have a large diversi...
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04/10/2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
We design deep neural networks (DNNs) and corresponding networks' splitt...
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04/21/2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML
With the surge of inexpensive computational and memory resources, neural...
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10/23/2020
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
Keypoint detector and descriptor are two main components of point cloud ...
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07/06/2020
Deep Partial Updating
Emerging edge intelligence applications require the server to continuous...
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04/28/2020
Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset
Robotic grasping plays an important role in the field of robotics. The c...
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12/18/2019
