Federated vehicular transformers and their federations: Privacy-preserving computing and cooperation for autonomous driving
Cooperative computing is promising to enhance the performance and safety of autonomous
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
Sparks of large audio models: A survey and outlook
This survey paper provides a comprehensive overview of the recent advancements and
challenges in applying large language models to the field of audio signal processing. Audio …
challenges in applying large language models to the field of audio signal processing. Audio …
Masked autoencoder for self-supervised pre-training on lidar point clouds
G Hess, J Jaxing, E Svensson… - Proceedings of the …, 2023 - openaccess.thecvf.com
Masked autoencoding has become a successful pretraining paradigm for Transformer
models for text, images, and, recently, point clouds. Raw automotive datasets are suitable …
models for text, images, and, recently, point clouds. Raw automotive datasets are suitable …
Glt-t: Global-local transformer voting for 3d single object tracking in point clouds
Current 3D single object tracking methods are typically based on VoteNet, a 3D region
proposal network. Despite the success, using a single seed point feature as the cue for offset …
proposal network. Despite the success, using a single seed point feature as the cue for offset …
Recent advances and perspectives in deep learning techniques for 3D point cloud data processing
In recent years, deep learning techniques for processing 3D point cloud data have seen
significant advancements, given their unique ability to extract relevant features and handle …
significant advancements, given their unique ability to extract relevant features and handle …
Assessing sampling interval-dependent roughness in fractured steel fiber reinforced concrete using a double-exponential decay model
This study introduces a double-exponential decay (DED) model to investigate the sampling
interval (δ)-dependent behavior of crack morphology roughness in steel fiber reinforced …
interval (δ)-dependent behavior of crack morphology roughness in steel fiber reinforced …
3D point cloud descriptors: state-of-the-art
XF Han, ZA Feng, SJ Sun, GQ Xiao - Artificial Intelligence Review, 2023 - Springer
The development of inexpensive 3D data acquisition devices has promisingly facilitated the
wide availability and popularity of point clouds, which attracts increasing attention to the …
wide availability and popularity of point clouds, which attracts increasing attention to the …
Gmsf: Global matching scene flow
We tackle the task of scene flow estimation from point clouds. Given a source and a target
point cloud, the objective is to estimate a translation from each point in the source point …
point cloud, the objective is to estimate a translation from each point in the source point …
Csdn: Cross-modal shape-transfer dual-refinement network for point cloud completion
How will you repair a physical object with some missings? You may imagine its original
shape from previously captured images, recover its overall (global) but coarse shape first …
shape from previously captured images, recover its overall (global) but coarse shape first …
Trackastra: Transformer-based cell tracking for live-cell microscopy
B Gallusser, M Weigert - European Conference on Computer Vision, 2025 - Springer
Cell tracking is a ubiquitous image analysis task in live-cell microscopy. Unlike multiple
object tracking (MOT) for natural images, cell tracking typically involves hundreds of similar …
object tracking (MOT) for natural images, cell tracking typically involves hundreds of similar …