3 papers
cs.CV2024
EffiPerception: an Efficient Framework for Various Perception Tasks
Xinhao Xiang, Simon Dräger, Jiawei Zhang
The accuracy-speed-memory trade-off is always the priority to consider for several computer vision perception tasks. Previous methods mainly focus on a single or small couple of th…
cs.LG2024
The Importance of Architecture Choice in Deep Learning for Climate Applications
Simon Dräger, Maike Sonnewald
Machine Learning has become a pervasive tool in climate science applications. However, current models fail to address nonstationarity induced by anthropogenic alterations in greenh…
cs.CV2023
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion
Xinhao Xiang, Simon Dräger, Jiawei Zhang
Good 3D object detection performance from LiDAR-Camera sensors demands seamless feature alignment and fusion strategies. We propose the 3DifFusionDet framework in this paper, which…