activity
20172023
most citedHOTA: A Higher Order Metric for Evaluating Multi-Object Tracking

1.1k citations · 1.3k across the 14 of their papers we have counts for

collaborators

20 papers

cs.CV2023★ 6 cited

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula +4

Dense simultaneous localization and mapping (SLAM) is crucial for robotics and augmented reality applications. However, current methods are often hampered by the non-volumetric or…

cs.CV2023★ 5 cited

Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis

Jonathon Luiten, Georgios Kopanas, Bastian Leibe +1

We present a method that simultaneously addresses the tasks of dynamic scene novel-view synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We follow…

cs.CV2023

TarViS: A Unified Approach for Target-based Video Segmentation

Ali Athar, Alexander Hermans, Jonathon Luiten +2

The general domain of video segmentation is currently fragmented into different tasks spanning multiple benchmarks. Despite rapid progress in the state-of-the-art, current methods…

cs.CV2022★ 2 cited

BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video

Ali Athar, Jonathon Luiten, Paul Voigtlaender +4

Multiple existing benchmarks involve tracking and segmenting objects in video e.g., Video Object Segmentation (VOS) and Multi-Object Tracking and Segmentation (MOTS), but there is…

cs.CV2022

Differentiable Soft-Masked Attention

Ali Athar, Jonathon Luiten, Alexander Hermans +2

Transformers have become prevalent in computer vision due to their performance and flexibility in modelling complex operations. Of particular significance is the 'cross-attention'…

cs.CV2022★ 1 cited

Forecasting from LiDAR via Future Object Detection

Neehar Peri, Jonathon Luiten, Mengtian Li +3

Object detection and forecasting are fundamental components of embodied perception. These two problems, however, are largely studied in isolation by the community. In this paper, w…