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08/22/2023
TurboViT: Generating Fast Vision Transformers via Generative Architecture Search
Vision transformers have shown unprecedented levels of performance in ta...
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06/14/2023
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability
Explainability plays a crucial role in providing a more comprehensive un...
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12/06/2022
A Trustworthy Framework for Medical Image Analysis with Deep Learning
Computer vision and machine learning are playing an increasingly importa...
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08/15/2022
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers
With the growing adoption of deep learning for on-device TinyML applicat...
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08/08/2022
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis
Autonomous bin picking poses significant challenges to vision-driven rob...
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05/25/2022
MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge
Deep neural network (DNN) latency characterization is a time-consuming p...
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01/22/2022
Bag of Tricks for Natural Policy Gradient Reinforcement Learning
Natural policy gradient methods are popular reinforcement learning metho...
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11/16/2021
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation
In keypoint estimation tasks such as human pose estimation, heatmap-base...
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09/08/2021
Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
While significant research advances have been made in the field of deep ...
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05/20/2021
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera
Existing multi-camera solutions for automatic scorekeeping in steel-tip ...
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04/29/2021
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge
In this study, we introduce AttendSeg, a low-precision, highly compact d...
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04/06/2021
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images
Tuberculosis (TB) remains a global health problem, and is the leading ca...
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03/18/2021
COVIDx-US – An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics
The COVID-19 pandemic continues to have a devastating effect on the heal...
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11/17/2020
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution
Neural architecture search has proven to be highly effective in the desi...
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03/22/2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images
The COVID-19 pandemic continues to have a devastating effect on the heal...
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10/24/2019
Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes
Malnutrition impacts quality of life and places annually-recurring burde...
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09/08/2019
Squeeze-and-Attention Networks for Semantic Segmentation
Squeeze-and-excitation (SE) module enhances the representational power o...
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03/15/2019
GolfDB: A Video Database for Golf Swing Sequencing
The golf swing is a complex movement requiring considerable full-body co...
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03/28/2018
muNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification
Traffic sign recognition is a very important computer vision task for a ...
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02/19/2018
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection
Object detection is a major challenge in computer vision, involving both...
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04/15/2016
