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03/16/2023
PyVBMC: Efficient Bayesian inference in Python
PyVBMC is a Python implementation of the Variational Bayesian Monte Carl...
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03/09/2023
Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo
We introduce Sparse Variational Bayesian Monte Carlo (SVBMC), a method f...
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08/14/2022
Model Generalization: A Sharpness Aware Optimization Perspective
Sharpness-Aware Minimization (SAM) and adaptive sharpness-aware minimiza...
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04/09/2022
Robotic Surgery Remote Mentoring via AR with 3D Scene Streaming and Hand Interaction
With the growing popularity of robotic surgery, education becomes increa...
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11/21/2021
Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine
Pixel-level 2D object semantic understanding is an important topic in co...
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11/24/2020
Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes
3D object detection has attracted much attention thanks to the advances ...
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06/08/2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation?
3D LiDAR semantic segmentation is a pivotal task that is widely involved...
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04/20/2020
Semantic Correspondence via 2D-3D-2D Cycle
Visual semantic correspondence is an important topic in computer vision ...
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02/28/2020
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations
Detecting 3D objects keypoints is of great interest to the areas of both...
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02/21/2020
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances
3D semantic segmentation is one of the key tasks for autonomous driving ...
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12/29/2019
Fine-grained Object Semantic Understanding from Correspondences
Fine-grained semantic understanding of 3D objects is crucial in many app...
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12/04/2018