Recent advances in 3d gaussian splatting
The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …
Sgs-slam: Semantic gaussian splatting for neural dense slam
We present SGS-SLAM, the first semantic visual SLAM system based on Gaussian Splatting.
It incorporates appearance, geometry, and semantic features through multi-channel …
It incorporates appearance, geometry, and semantic features through multi-channel …
Plgslam: Progressive neural scene represenation with local to global bundle adjustment
Neural implicit scene representations have recently shown encouraging results in dense
visual SLAM. However existing methods produce low-quality scene reconstruction and low …
visual SLAM. However existing methods produce low-quality scene reconstruction and low …
Deception detection from linguistic and physiological data streams using bimodal convolutional neural networks
P Li, M Abouelenien, R Mihalcea, Z Ding… - 2024 5th …, 2024 - ieeexplore.ieee.org
Deception detection is gaining increasing interest due to ethical and security concerns. This
paper explores the application of convolutional neural networks for the purpose of …
paper explores the application of convolutional neural networks for the purpose of …
Absgs: Recovering fine details in 3d gaussian splatting
3D Gaussian Splatting (3D-GS) technique couples 3D Gaussian primitives with
differentiable rasterization to achieve high-quality novel view synthesis results while …
differentiable rasterization to achieve high-quality novel view synthesis results while …
Dvlo: Deep visual-lidar odometry with local-to-global feature fusion and bi-directional structure alignment
Abstract Information inside visual and LiDAR data is well complementary derived from the
fine-grained texture of images and massive geometric information in point clouds. However …
fine-grained texture of images and massive geometric information in point clouds. However …
Emie-map: Large-scale road surface reconstruction based on explicit mesh and implicit encoding
Road surface reconstruction plays a vital role in autonomous driving systems, enabling road
lane perception and high-precision mapping. Recently, neural implicit encoding has …
lane perception and high-precision mapping. Recently, neural implicit encoding has …
Neslam: Neural implicit mapping and self-supervised feature tracking with depth completion and denoising
In recent years, there have been significant advancements in 3D reconstruction and dense
RGB-D SLAM systems. One notable development is the application of Neural Radiance …
RGB-D SLAM systems. One notable development is the application of Neural Radiance …
Enhancing federated semi-supervised learning with out-of-distribution filtering amidst class mismatches
Federated Learning (FL) has gained prominence as a method for training models on edge
computing devices, enabling the preservation of data privacy by eliminating the need to …
computing devices, enabling the preservation of data privacy by eliminating the need to …
Enhanced detection classification via clustering svm for various robot collaboration task
We introduce an advanced, swift pattern recognition strategy for various multiple robotics
during curve negotiation. This method, leveraging a sophisticated k-means clustering …
during curve negotiation. This method, leveraging a sophisticated k-means clustering …