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06/14/2023
Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images
Recent camera-based 3D object detection methods have introduced sequenti...
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04/03/2023
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception
Autonomous driving requires an accurate and fast 3D perception system th...
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11/22/2022
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes
Semi-supervised Learning (SSL) has received increasing attention in auto...
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10/29/2022
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision
Recent advances in monocular 3D detection leverage a depth estimation ne...
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09/14/2022
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer
Camera and radar sensors have significant advantages in cost, reliabilit...
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08/23/2022
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
We introduce a new empirical Bayes approach for large-scale multiple lin...
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05/23/2019
Scale Invariant Power Iteration
Power iteration has been generalized to solve many interesting problems ...
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02/12/2019
Effective Network Compression Using Simulation-Guided Iterative Pruning
Existing high-performance deep learning models require very intensive co...
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02/08/2019
Bayesian Model Selection with Graph Structured Sparsity
We propose a general algorithmic framework for Bayesian model selection....
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06/04/2018