activity
20192026
most citedTrack to Reconstruct and Reconstruct to Track

133 citations · 259 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 14 cited

CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion

Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar +2

To track the 3D locations and trajectories of the other traffic participants at any given time, modern autonomous vehicles are equipped with multiple cameras that cover the vehicle…

cs.CV2022★ 7 cited

Boosting Performance of a Baseline Visual Place Recognition Technique by Predicting the Maximally Complementary Technique

Connor Malone, Stephen Hausler, Tobias Fischer +1

One recent promising approach to the Visual Place Recognition (VPR) problem has been to fuse the place recognition estimates of multiple complementary VPR techniques using methods…

cs.CV2022★ 3 cited

QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking

Tobias Fischer, Thomas E. Huang, Jiangmiao Pang +4

Similarity learning has been recognized as a crucial step for object tracking. However, existing multiple object tracking methods only use sparse ground truth matching as the train…

cs.CV2022★ 1 cited

SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection

Samuel Wilson, Tobias Fischer, Feras Dayoub +2

We address the problem of out-of-distribution (OOD) detection for the task of object detection. We show that residual convolutional layers with batch normalisation produce Sensitiv…

cs.CV2022★ 1 cited

How Many Events do You Need? Event-based Visual Place Recognition Using Sparse But Varying Pixels

Tobias Fischer, Michael Milford

Event cameras continue to attract interest due to desirable characteristics such as high dynamic range, low latency, virtually no motion blur, and high energy efficiency. One of th…

cs.CV2022★ 27 cited

Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery

Scarlett Raine, Ross Marchant, Brano Kusy +2

Monitoring coral reefs using underwater vehicles increases the range of marine surveys and availability of historical ecological data by collecting significant quantities of images…