1 code implementation • 15 Apr 2024 • Scarlett Raine, Ross Marchant, Brano Kusy, Frederic Maire, Niko Suenderhauf, Tobias Fischer
For extremely sparsely labeled images, we propose a labeling regime based on human-in-the-loop principles, resulting in significant improvement in annotation efficiency: If only 5 point labels per image are available, our proposed human-in-the-loop approach improves on the state-of-the-art by 17. 3% for pixel accuracy and 22. 6% for mIoU; and by 10. 6% and 19. 1% when 10 point labels per image are available.
1 code implementation • 4 Apr 2024 • Rui Li, Tobias Fischer, Mattia Segu, Marc Pollefeys, Luc van Gool, Federico Tombari
We propose KYN, a novel method for single-view scene reconstruction that reasons about semantic and spatial context to predict each point's density.
no code implementations • 25 Mar 2024 • Gokul B. Nair, Michael Milford, Tobias Fischer
Event cameras are increasingly popular in robotics due to their beneficial features, such as low latency, energy efficiency, and high dynamic range.
no code implementations • 22 Mar 2024 • Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno
Accurate detection and tracking of surrounding objects is essential to enable self-driving vehicles.
1 code implementation • 24 Nov 2023 • Alastair Bradford, Grant van Breda, Tobias Fischer
The advent of autonomous vehicle technologies has significantly impacted various sectors, including motorsport, where Formula Student and Formula: Society of Automotive Engineers introduced autonomous racing classes.
1 code implementation • 22 Nov 2023 • Somayeh Hussaini, Michael Milford, Tobias Fischer
Lastly, we investigate the role of sequence matching in SNN-based VPR, a technique where consecutive images are used to refine place recognition.
1 code implementation • 6 Nov 2023 • Son Tung Nguyen, Alejandro Fontan, Michael Milford, Tobias Fischer
We propose FocusTune, a focus-guided sampling technique to improve the performance of visual localization algorithms.
no code implementations • ICCV 2023 • Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu
We propose R3D3, a multi-camera system for dense 3D reconstruction and ego-motion estimation.
1 code implementation • CVPR 2023 • Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu
This leaves contemporary MOT methods limited to a small set of pre-defined object categories.
1 code implementation • 10 Apr 2023 • Jason Yik, Korneel Van den Berghe, Douwe den Blanken, Younes Bouhadjar, Maxime Fabre, Paul Hueber, Denis Kleyko, Noah Pacik-Nelson, Pao-Sheng Vincent Sun, Guangzhi Tang, Shenqi Wang, Biyan Zhou, Soikat Hasan Ahmed, George Vathakkattil Joseph, Benedetto Leto, Aurora Micheli, Anurag Kumar Mishra, Gregor Lenz, Tao Sun, Zergham Ahmed, Mahmoud Akl, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Petrut Bogdan, Sander Bohte, Sonia Buckley, Gert Cauwenberghs, Elisabetta Chicca, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Tobias Fischer, Jeremy Forest, Vittorio Fra, Steve Furber, P. Michael Furlong, William Gilpin, Aditya Gilra, Hector A. Gonzalez, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Yao-Hong Liu, Shih-Chii Liu, Haoyuan Ma, Rajit Manohar, Josep Maria Margarit-Taulé, Christian Mayr, Konstantinos Michmizos, Dylan Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayca Ozcelikkale, Priyadarshini Panda, Jongkil Park, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Alessandro Pierro, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Samuel Schmidgall, Catherine Schuman, Jae-sun Seo, Sadique Sheik, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Matthew Stewart, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Jonathan Timcheck, Nergis Tömen, Gianvito Urgese, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
The NeuroBench framework introduces a common set of tools and systematic methodology for inclusive benchmark measurement, delivering an objective reference framework for quantifying neuromorphic approaches in both hardware-independent (algorithm track) and hardware-dependent (system track) settings.
1 code implementation • 6 Mar 2023 • Stefan Schubert, Peer Neubert, Sourav Garg, Michael Milford, Tobias Fischer
It unifies the terminology of VPR and complements prior research in two important directions: 1) It provides a systematic introduction for newcomers to the field, covering topics such as the formulation of the VPR problem, a general-purpose algorithmic pipeline, an evaluation methodology for VPR approaches, and the major challenges for VPR and how they may be addressed.
1 code implementation • 2 Mar 2023 • Scarlett Raine, Ross Marchant, Brano Kusy, Frederic Maire, Tobias Fischer
Our method outperforms previous approaches that require patch-level labels on the multi-species 'DeepSeagrass' dataset by 6. 8% (absolute) for the class-weighted F1 score, and by 12. 1% (absolute) for the seagrass presence/absence F1 score on the 'Global Wetlands' dataset.
1 code implementation • 2 Dec 2022 • Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu
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's full surroundings.
no code implementations • 14 Oct 2022 • Connor Malone, Stephen Hausler, Tobias Fischer, Michael Milford
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 such as SRAL and multi-process fusion.
2 code implementations • 12 Oct 2022 • Tobias Fischer, Thomas E. Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu
In this paper, we present Quasi-Dense Similarity Learning, which densely samples hundreds of object regions on a pair of images for contrastive learning.
Ranked #4 on Multiple Object Tracking on BDD100K test
1 code implementation • 19 Sep 2022 • Somayeh Hussaini, Michael Milford, Tobias Fischer
We evaluate this new scalable modular system on benchmark localization datasets Nordland and Oxford RobotCar, with comparisons to standard techniques NetVLAD, DenseVLAD, and SAD, and a previous spiking neural network system.
1 code implementation • ICCV 2023 • Samuel Wilson, Tobias Fischer, Feras Dayoub, Dimity Miller, Niko Sünderhauf
We address the problem of out-of-distribution (OOD) detection for the task of object detection.
1 code implementation • 28 Jun 2022 • 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.
no code implementations • 27 Feb 2022 • Scarlett Raine, Ross Marchant, Brano Kusy, Frederic Maire, Tobias Fischer
We propose a point label aware method for propagating labels within superpixel regions to obtain augmented ground truth for training a semantic segmentation model.
1 code implementation • 10 Dec 2021 • Samuel Wilson, Tobias Fischer, Niko Sünderhauf, Feras Dayoub
We introduce powerful ideas from Hyperdimensional Computing into the challenging field of Out-of-Distribution (OOD) detection.
Out-of-Distribution Detection Out of Distribution (OOD) Detection
no code implementations • 9 Dec 2021 • Stephen Hausler, Tobias Fischer, Michael Milford
A recent approach to the Visual Place Recognition (VPR) problem has been to fuse the place recognition estimates of multiple complementary VPR techniques simultaneously.
no code implementations • 20 Oct 2021 • Frederic Matter, Tobias Fischer, Marius Pesavento, Marc E. Pfetsch
Our approach uses Young tableaux for which a submatrix of the steering matrix has a vanishing determinant, which can be expressed through vanishing sums of unit roots.
1 code implementation • 14 Sep 2021 • Somayeh Hussaini, Michael Milford, Tobias Fischer
Spiking neural networks (SNNs) offer both compelling potential advantages, including energy efficiency and low latencies and challenges including the non-differentiable nature of event spikes.
no code implementations • 31 Aug 2021 • Tobias Fischer
My overarching research goal is to provide robots with perceptional abilities that allow interactions with humans in a human-like manner.
1 code implementation • 16 Jul 2021 • Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford
Probabilistic state-estimation approaches offer a principled foundation for designing localization systems, because they naturally integrate sequences of imperfect motion and exteroceptive sensor data.
1 code implementation • 12 Mar 2021 • Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun
Experiments on our proposed simulation data and real-world benchmarks, including KITTI, nuScenes, and Waymo datasets, show that our tracking framework offers robust object association and tracking on urban-driving scenarios.
Ranked #7 on Multiple Object Tracking on KITTI Tracking test
no code implementations • 11 Mar 2021 • Sourav Garg, Tobias Fischer, Michael Milford
Visual Place Recognition (VPR) is often characterized as being able to recognize the same place despite significant changes in appearance and viewpoint.
3 code implementations • CVPR 2021 • Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer
Visual Place Recognition is a challenging task for robotics and autonomous systems, which must deal with the twin problems of appearance and viewpoint change in an always changing world.
Ranked #1 on Visual Localization on RobotCar Seasons v2
no code implementations • 19 Oct 2020 • Timothy L. Molloy, Tobias Fischer, Michael Milford, Girish N. Nair
A key challenge in visual place recognition (VPR) is recognizing places despite drastic visual appearance changes due to factors such as time of day, season, weather or lighting conditions.
no code implementations • 6 Jun 2020 • Sebastian Blacker, Niels-Uwe F. Bastian, Andreas Bauswein, David B. Blaschke, Tobias Fischer, Micaela Oertel, Theodoros Soultanis, Stefan Typel
The softening of the EoS by the PT at higher densities, i. e. after merging, leads to a characteristic increase of the dominant postmerger GW frequency f_peak relative to the tidal deformability Lambda inferred during the premerger inspiral phase.
High Energy Astrophysical Phenomena High Energy Physics - Phenomenology Nuclear Theory
1 code implementation • 22 May 2020 • Tobias Fischer, Michael Milford
Event cameras are bio-inspired sensors capable of providing a continuous stream of events with low latency and high dynamic range.
1 code implementation • IEEE International Conference on Computer Vision Workshops 2019 • Kévin Cortacero, Tobias Fischer, Yiannis Demiris
We further incorporate our proposed RT-BENE baselines in the recently presented RT-GENE gaze estimation framework where it provides a real-time inference of the openness of the eyes.
Ranked #1 on Blink estimation on RT-BENE
1 code implementation • 30 Sep 2019 • Jonathon Luiten, Tobias Fischer, Bastian Leibe
Object tracking and 3D reconstruction are often performed together, with tracking used as input for reconstruction.
no code implementations • 27 Jun 2019 • Pierluca Carenza, Tobias Fischer, Maurizio Giannotti, Gang Guo, Gabriel Martinez-Pinedo, Alessandro Mirizzi
We find that the axion emissivity is reduced by over an order of magnitude with respect to the basic OPE calculation, after all these effects are accounted for.
High Energy Physics - Phenomenology Solar and Stellar Astrophysics
1 code implementation • ECCV 2018 • Tobias Fischer, Hyung Jin Chang, Yiannis Demiris
We first record a novel dataset of varied gaze and head pose images in a natural environment, addressing the issue of ground truth annotation by measuring head pose using a motion capture system and eye gaze using mobile eyetracking glasses.
Ranked #1 on Gaze Estimation on RT-GENE
1 code implementation • CVPR 2018 • Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi
We propose a new context-aware correlation filter based tracking framework to achieve both high computational speed and state-of-the-art performance among real-time trackers.
Ranked #15 on Visual Object Tracking on VOT2017/18
1 code implementation • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 • Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, Jin Young Choi
We propose a new tracking framework with an attentional mechanism that chooses a subset of the associated correlation filters for increased robustness and computational efficiency.
1 code implementation • 12 Jun 2017 • Clément Moulin-Frier, Tobias Fischer, Maxime Petit, Grégoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong Nguyen, Matej Hoffmann, Hyung Jin Chang, Martina Zambelli, Anne-Laure Mealier, Andreas Damianou, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Peter Ford Dominey, Paul F. M. J. Verschure
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative can originate from both the human and the robot.
no code implementations • CVPR 2016 • Hyung Jin Chang, Tobias Fischer, Maxime Petit, Martina Zambelli, Yiannis Demiris
In this paper, we present a novel framework for finding the kinematic structure correspondence between two objects in videos via hypergraph matching.
no code implementations • 14 Oct 2014 • Alexandre Payez, Carmelo Evoli, Tobias Fischer, Maurizio Giannotti, Alessandro Mirizzi, Andreas Ringwald
We revise the bound from the supernova SN1987A on the coupling of ultralight axion-like particles (ALPs) to photons.
High Energy Astrophysical Phenomena High Energy Physics - Phenomenology