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Found 8 papers, 3 papers with code
Enabling On-Device LLMs Personalization with Smartphone Sensing
To the best of our knowledge, this is the first framework to provide on-device LLMs personalization with smartphone sensing.
A new fuzzy multi-attribute group decision-making method based on TOPSIS and optimization models
Secondly, based on TOPSIS method, the improved closeness index for evaluating each alternative is obtained.
On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem
In practical engineering experiments, the data obtained through detectors are inevitably noisy.
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
Instead of directly training a depth prediction network, we unify the image and LiDAR features in the Bird-Eye-View (BEV) space and adaptively transfer knowledge across non-homogenous representations in a teacher-student paradigm.
Ranked #14 on
3D Object Detection
on nuScenes Camera Only
Neural Networks Based on Power Method and Inverse Power Method for Solving Linear Eigenvalue Problems
In this article, we propose two kinds of neural networks inspired by power method and inverse power method to solve linear eigenvalue problems.
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection
Recently, AutoAlign presents a learnable paradigm in combining these two modalities for 3D object detection.
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection
3D object detection from multiple image views is a fundamental and challenging task for visual scene understanding.
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection
This map enables our model to automate the alignment of non-homogenous features in a dynamic and data-driven manner.
