Object Detection as Probabilistic Set Prediction
Paper
•
2203.07980
•
Published
AI & ML interests
Zenseact's purpose is to make safe and intelligent mobility real for everyone, everywhere. #makeitreal
georghess
authored
9
papers
over 1 year ago
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap
Paper
•
2403.16092
•
Published
Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing
Paper
•
2312.17261
•
Published
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds
Paper
•
2207.00531
•
Published
Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
Paper
•
2202.07909
•
Published
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning
Paper
•
2104.00734
•
Published
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
Paper
•
2305.02008
•
Published
•
1
LidarCLIP or: How I Learned to Talk to Point Clouds
Paper
•
2212.06858
•
Published
•
3
NeuRAD: Neural Rendering for Autonomous Driving
Paper
•
2311.15260
•
Published
Alibeigi
updated
a
dataset
almost 2 years ago
Alibeigi
authored
3
papers
almost 2 years ago
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning
Paper
•
2307.07393
•
Published
•
1
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
Paper
•
2305.02008
•
Published
•
1
DASS: Differentiable Architecture Search for Sparse neural networks
Paper
•
2207.06968
•
Published
•
1