Aljosa Osep

Orcid: 0000-0001-8105-4737

Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA, USA


According to our database1, Aljosa Osep authored at least 41 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Better Call SAL: Towards Learning to Segment Anything in Lidar.
CoRR, 2024

SeMoLi: What Moves Together Belongs Together.
CoRR, 2024

2023
Lidar Panoptic Segmentation and Tracking without Bells and Whistles.
IROS, 2023

Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles.
IEEE Robotics Autom. Lett., 2022

Learning to Discover and Detect Objects.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Is Geometry Enough for Matching in Visual Localization?
Proceedings of the Computer Vision - ECCV 2022, 2022

PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking?
Proceedings of the Computer Vision - ECCV 2022, 2022

Forecasting from LiDAR via Future Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Opening up Open World Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Text2Pos: Text-to-Point-Cloud Cross-Modal Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
HOTA: A Higher Order Metric for Evaluating Multi-object Tracking.
Int. J. Comput. Vis., 2021

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking.
Int. J. Comput. Vis., 2021

STEP: Segmenting and Tracking Every Pixel.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

EagerMOT: 3D Multi-Object Tracking via Sensor Fusion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A Single-Stage, Bottom-up Approach for Occluded VIS using Spatio-temporal Embeddings.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

(Just) A Spoonful of Refinements Helps the Registration Error Go Down.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

4D Panoptic LiDAR Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
4D Generic Video Object Proposals.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos.
Proceedings of the Computer Vision - ECCV 2020, 2020

How to Train Your Deep Multi-Object Tracker.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Making a Case for 3D Convolutions for Object Segmentation in Videos.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Vision-based category agnostic object tracking for mobile robots and intelligent vehicles / Aljose Osep ; Bastian Leibe, David Held.
PhD thesis, 2019

Large-Scale Object Mining for Object Discovery from Unlabeled Video.
Proceedings of the International Conference on Robotics and Automation, 2019

MOTS: Multi-Object Tracking and Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Towards Large-Scale Video Video Object Mining.
CoRR, 2018

Track, Then Decide: Category-Agnostic Vision-Based Multi-Object Tracking.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video.
CoRR, 2017

Combined image- and world-space tracking in traffic scenes.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Scene flow propagation for semantic mapping and object discovery in dynamic street scenes.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Multi-scale object candidates for generic object tracking in street scenes.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Unsupervised Learning of Shape-Motion Patterns for Objects in Urban Street Scenes.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
A fixed-dimensional 3D shape representation for matching partially observed objects in street scenes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2013
Multi-view Normal Field Integration for 3D Reconstruction of Mirroring Objects.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Fusing Structured Light Consistency and Helmholtz Normals for 3D Reconstruction.
Proceedings of the British Machine Vision Conference, 2012


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