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10/25/2022
MAROAM: Map-based Radar SLAM through Two-step Feature Selection
In this letter, we propose MAROAM, a millimeter wave radar-based SLAM fr...
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06/22/2022
GACT: Activation Compressed Training for General Architectures
Training large neural network (NN) models requires extensive memory reso...
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06/19/2020
BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud
Bird's-eye-view (BEV) is a powerful and widely adopted representation fo...
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06/18/2020
Fully Test-time Adaptation by Entropy Minimization
Faced with new and different data during testing, a model must adapt its...
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06/12/2020
CoDeNet: Algorithm-hardware Co-design for Deformable Convolution
Deploying deep learning models on embedded systems for computer vision t...
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04/16/2019
Objects as Points
Detection identifies objects as axis-aligned boxes in an image. Most suc...
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11/13/2018
Deep Object Centric Policies for Autonomous Driving
While learning visuomotor skills in an end-to-end manner is appealing, d...
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10/18/2017
VisDA: The Visual Domain Adaptation Challenge
We present the 2017 Visual Domain Adaptation (VisDA) dataset and challen...
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07/20/2017
Deep Layer Aggregation
Convolutional networks have had great success in image classification an...
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12/08/2015
