Picture for Guillem Brasó

Guillem Brasó

Technical University of Munich

SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow

Add code
Apr 17, 2024
Figure 1 for SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow
Figure 2 for SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow
Figure 3 for SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow
Figure 4 for SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow
Viaarxiv icon

Unifying Short and Long-Term Tracking with Graph Hierarchies

Add code
Dec 06, 2022
Figure 1 for Unifying Short and Long-Term Tracking with Graph Hierarchies
Figure 2 for Unifying Short and Long-Term Tracking with Graph Hierarchies
Figure 3 for Unifying Short and Long-Term Tracking with Graph Hierarchies
Figure 4 for Unifying Short and Long-Term Tracking with Graph Hierarchies
Viaarxiv icon

The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes

Add code
Oct 13, 2022
Figure 1 for The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
Figure 2 for The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
Figure 3 for The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
Figure 4 for The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
Viaarxiv icon

PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?

Add code
Aug 03, 2022
Figure 1 for PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
Figure 2 for PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
Figure 3 for PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
Figure 4 for PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
Viaarxiv icon

DeVIS: Making Deformable Transformers Work for Video Instance Segmentation

Add code
Jul 22, 2022
Figure 1 for DeVIS: Making Deformable Transformers Work for Video Instance Segmentation
Figure 2 for DeVIS: Making Deformable Transformers Work for Video Instance Segmentation
Figure 3 for DeVIS: Making Deformable Transformers Work for Video Instance Segmentation
Figure 4 for DeVIS: Making Deformable Transformers Work for Video Instance Segmentation
Viaarxiv icon

Simple Cues Lead to a Strong Multi-Object Tracker

Add code
Jun 13, 2022
Figure 1 for Simple Cues Lead to a Strong Multi-Object Tracker
Figure 2 for Simple Cues Lead to a Strong Multi-Object Tracker
Figure 3 for Simple Cues Lead to a Strong Multi-Object Tracker
Figure 4 for Simple Cues Lead to a Strong Multi-Object Tracker
Viaarxiv icon

The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation

Add code
Oct 11, 2021
Figure 1 for The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation
Figure 2 for The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation
Figure 3 for The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation
Figure 4 for The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation
Viaarxiv icon

Learning a Neural Solver for Multiple Object Tracking

Add code
Dec 16, 2019
Figure 1 for Learning a Neural Solver for Multiple Object Tracking
Figure 2 for Learning a Neural Solver for Multiple Object Tracking
Figure 3 for Learning a Neural Solver for Multiple Object Tracking
Figure 4 for Learning a Neural Solver for Multiple Object Tracking
Viaarxiv icon