@misc{SchneiderShigeyamaKovacsetal.2018, author = {Schneider, Oliver and Shigeyama, Jotaro and Kovacs, Robert and Roumen, Thijs Jan and Marwecki, Sebastian and B{\"o}ckhoff, Nico and Gl{\"o}ckner, Daniel Amadeus Johannes and Bounama, Jonas and Baudisch, Patrick}, title = {DualPanto}, series = {UIST '18: Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology}, journal = {UIST '18: Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {978-1-4503-5948-1}, doi = {10.1145/3242587.3242604}, pages = {877 -- 887}, year = {2018}, abstract = {We present a new haptic device that enables blind users to continuously track the absolute position of moving objects in spatial virtual environments, as is the case in sports or shooter games. Users interact with DualPanto by operating the me handle with one hand and by holding on to the it handle with the other hand. Each handle is connected to a pantograph haptic input/output device. The key feature is that the two handles are spatially registered with respect to each other. When guiding their avatar through a virtual world using the me handle, spatial registration enables users to track moving objects by having the device guide the output hand. This allows blind players of a 1-on-1 soccer game to race for the ball or evade an opponent; it allows blind players of a shooter game to aim at an opponent and dodge shots. In our user study, blind participants reported very high enjoyment when using the device to play (6.5/7).}, language = {en} } @misc{RoumenShigeyamaRudolphetal.2019, author = {Roumen, Thijs and Shigeyama, Jotaro and Rudolph, Julius Cosmo Romeo and Grzelka, Felix and Baudisch, Patrick}, title = {SpringFit}, series = {User Interface Software and Technology}, journal = {User Interface Software and Technology}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {978-1-4503-6816-2}, doi = {10.1145/3332165.3347930}, pages = {727 -- 738}, year = {2019}, abstract = {Joints are crucial to laser cutting as they allow making three-dimensional objects; mounts are crucial because they allow embedding technical components, such as motors. Unfortunately, mounts and joints tend to fail when trying to fabricate a model on a different laser cutter or from a different material. The reason for this lies in the way mounts and joints hold objects in place, which is by forcing them into slightly smaller openings. Such "press fit" mechanisms unfortunately are susceptible to the small changes in diameter that occur when switching to a machine that removes more or less material ("kerf"), as well as to changes in stiffness, as they occur when switching to a different material. We present a software tool called springFit that resolves this problem by replacing the problematic press fit-based mounts and joints with what we call cantilever-based mounts and joints. A cantilever spring is simply a long thin piece of material that pushes against the object to be held. Unlike press fits, cantilever springs are robust against variations in kerf and material; they can even handle very high variations, simply by using longer springs. SpringFit converts models in the form of 2D cutting plans by replacing all contained mounts, notch joints, finger joints, and t-joints. In our technical evaluation, we used springFit to convert 14 models downloaded from the web.}, language = {en} } @misc{PodlesnyKayemMeinel2019, author = {Podlesny, Nikolai Jannik and Kayem, Anne V. D. M. and Meinel, Christoph}, title = {Attribute Compartmentation and Greedy UCC Discovery for High-Dimensional Data Anonymisation}, series = {Proceedings of the Ninth ACM Conference on Data and Application Security and Privacy}, journal = {Proceedings of the Ninth ACM Conference on Data and Application Security and Privacy}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {978-1-4503-6099-9}, doi = {10.1145/3292006.3300019}, pages = {109 -- 119}, year = {2019}, abstract = {High-dimensional data is particularly useful for data analytics research. In the healthcare domain, for instance, high-dimensional data analytics has been used successfully for drug discovery. Yet, in order to adhere to privacy legislation, data analytics service providers must guarantee anonymity for data owners. In the context of high-dimensional data, ensuring privacy is challenging because increased data dimensionality must be matched by an exponential growth in the size of the data to avoid sparse datasets. Syntactically, anonymising sparse datasets with methods that rely of statistical significance, makes obtaining sound and reliable results, a challenge. As such, strong privacy is only achievable at the cost of high information loss, rendering the data unusable for data analytics. In this paper, we make two contributions to addressing this problem from both the privacy and information loss perspectives. First, we show that by identifying dependencies between attribute subsets we can eliminate privacy violating attributes from the anonymised dataset. Second, to minimise information loss, we employ a greedy search algorithm to determine and eliminate maximal partial unique attribute combinations. Thus, one only needs to find the minimal set of identifying attributes to prevent re-identification. Experiments on a health cloud based on the SAP HANA platform using a semi-synthetic medical history dataset comprised of 109 attributes, demonstrate the effectiveness of our approach.}, language = {en} } @misc{PlauthSterzEberhardtetal.2017, author = {Plauth, Max and Sterz, Christoph and Eberhardt, Felix and Feinbube, Frank and Polze, Andreas}, title = {Assessing NUMA performance based on hardware event counters}, series = {IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)}, journal = {IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)}, publisher = {Institute of Electrical and Electronics Engineers}, address = {New York}, isbn = {978-0-7695-6149-3}, issn = {2164-7062}, doi = {10.1109/IPDPSW.2017.51}, pages = {904 -- 913}, year = {2017}, abstract = {Cost models play an important role for the efficient implementation of software systems. These models can be embedded in operating systems and execution environments to optimize execution at run time. Even though non-uniform memory access (NUMA) architectures are dominating today's server landscape, there is still a lack of parallel cost models that represent NUMA system sufficiently. Therefore, the existing NUMA models are analyzed, and a two-step performance assessment strategy is proposed that incorporates low-level hardware counters as performance indicators. To support the two-step strategy, multiple tools are developed, all accumulating and enriching specific hardware event counter information, to explore, measure, and visualize these low-overhead performance indicators. The tools are showcased and discussed alongside specific experiments in the realm of performance assessment.}, language = {en} } @misc{PerscheidUflacker2019, author = {Perscheid, Cindy and Uflacker, Matthias}, title = {Integrating Biological Context into the Analysis of Gene Expression Data}, series = {Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference}, volume = {801}, journal = {Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-99608-0}, issn = {2194-5357}, doi = {10.1007/978-3-319-99608-0_41}, pages = {339 -- 343}, year = {2019}, abstract = {High-throughput RNA sequencing produces large gene expression datasets whose analysis leads to a better understanding of diseases like cancer. The nature of RNA-Seq data poses challenges to its analysis in terms of its high dimensionality, noise, and complexity of the underlying biological processes. Researchers apply traditional machine learning approaches, e. g. hierarchical clustering, to analyze this data. Until it comes to validation of the results, the analysis is based on the provided data only and completely misses the biological context. However, gene expression data follows particular patterns - the underlying biological processes. In our research, we aim to integrate the available biological knowledge earlier in the analysis process. We want to adapt state-of-the-art data mining algorithms to consider the biological context in their computations and deliver meaningful results for researchers.}, language = {en} } @misc{MarweckiWilsonOfeketal.2019, author = {Marwecki, Sebastian and Wilson, Andrew D. and Ofek, Eyal and Franco, Mar Gonzalez and Holz, Christian}, title = {Mise-Unseen}, series = {UIST '19: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology}, journal = {UIST '19: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {978-1-4503-6816-2}, doi = {10.1145/3332165.3347919}, pages = {777 -- 789}, year = {2019}, abstract = {Creating or arranging objects at runtime is needed in many virtual reality applications, but such changes are noticed when they occur inside the user's field of view. We present Mise-Unseen, a software system that applies such scene changes covertly inside the user's field of view. Mise-Unseen leverages gaze tracking to create models of user attention, intention, and spatial memory to determine if and when to inject a change. We present seven applications of Mise-Unseen to unnoticeably modify the scene within view (i) to hide that task difficulty is adapted to the user, (ii) to adapt the experience to the user's preferences, (iii) to time the use of low fidelity effects, (iv) to detect user choice for passive haptics even when lacking physical props, (v) to sustain physical locomotion despite a lack of physical space, (vi) to reduce motion sickness during virtual locomotion, and (vii) to verify user understanding during story progression. We evaluated Mise-Unseen and our applications in a user study with 15 participants and find that while gaze data indeed supports obfuscating changes inside the field of view, a change is rendered unnoticeably by using gaze in combination with common masking techniques.}, language = {en} } @misc{MalchowRenzBaueretal.2017, author = {Malchow, Martin and Renz, Jan and Bauer, Matthias and Meinel, Christoph}, title = {Embedded smart home}, series = {11th Annual IEEE International Systems Conference (SysCon)}, journal = {11th Annual IEEE International Systems Conference (SysCon)}, publisher = {IEEE}, address = {New York}, isbn = {978-1-5090-4623-2}, issn = {1944-7620}, doi = {10.1109/SYSCON.2017.7934728}, pages = {195 -- 200}, year = {2017}, abstract = {The popularity of MOOCs has increased considerably in the last years. A typical MOOC course consists of video content, self tests after a video and homework, which is normally in multiple choice format. After solving this homeworks for every week of a MOOC, the final exam certificate can be issued when the student has reached a sufficient score. There are also some attempts to include practical tasks, such as programming, in MOOCs for grading. Nevertheless, until now there is no known possibility to teach embedded system programming in a MOOC course where the programming can be done in a remote lab and where grading of the tasks is additionally possible. This embedded programming includes communication over GPIO pins to control LEDs and measure sensor values. We started a MOOC course called "Embedded Smart Home" as a pilot to prove the concept to teach real hardware programming in a MOOC environment under real life MOOC conditions with over 6000 students. Furthermore, also students with real hardware have the possibility to program on their own real hardware and grade their results in the MOOC course. Finally, we evaluate our approach and analyze the student acceptance of this approach to offer a course on embedded programming. We also analyze the hardware usage and working time of students solving tasks to find out if real hardware programming is an advantage and motivating achievement to support students learning success.}, language = {en} } @misc{LorenzKiekhebenSchnor2017, author = {Lorenz, Claas and Kiekheben, Sebastian and Schnor, Bettina}, title = {FaVe: Modeling IPv6 firewalls for fast formal verification}, series = {International Conference on Networked Systems (NetSys) 2017}, journal = {International Conference on Networked Systems (NetSys) 2017}, publisher = {IEEE}, address = {New York}, doi = {10.1109/NetSys.2017.7903956}, pages = {8}, year = {2017}, abstract = {As virtualization drives the automation of networking, the validation of security properties becomes more and more challenging eventually ruling out manual inspections. While formal verification in Software Defined Networks is provided by comprehensive tools with high speed reverification capabilities like NetPlumber for instance, the presence of middlebox functionality like firewalls is not considered. Also, they lack the ability to handle dynamic protocol elements like IPv6 extension header chains. In this work, we provide suitable modeling abstractions to enable both - the inclusion of firewalls and dynamic protocol elements. We exemplarily model the Linux ip6tables/netfilter packet filter and also provide abstractions for an application layer gateway. Finally, we present a prototype of our formal verification system FaVe.}, language = {en} } @misc{LimbergerScheibelTrappetal.2017, author = {Limberger, Daniel and Scheibel, Willy and Trapp, Matthias and D{\"o}llner, J{\"u}rgen Roland Friedrich}, title = {Mixed-projection treemaps}, series = {21st International Conference Information Visualisation (IV)}, journal = {21st International Conference Information Visualisation (IV)}, publisher = {Institute of Electrical and Electronics Engineers}, address = {Los Alamitos}, isbn = {978-1-5386-0831-9}, issn = {2375-0138}, doi = {10.1109/iV.2017.67}, pages = {164 -- 169}, year = {2017}, abstract = {This paper presents a novel technique for combining 2D and 2.5D treemaps using multi-perspective views to leverage the advantages of both treemap types. It enables a new form of overview+detail visualization for tree-structured data and contributes new concepts for real-time rendering of and interaction with treemaps. The technique operates by tilting the graphical elements representing inner nodes using affine transformations and animated state transitions. We explain how to mix orthogonal and perspective projections within a single treemap. Finally, we show application examples that benefit from the reduced interaction overhead.}, language = {en} } @misc{HesseMatthiesSinzigetal.2019, author = {Hesse, G{\"u}nter and Matthies, Christoph and Sinzig, Werner and Uflacker, Matthias}, title = {Adding Value by Combining Business and Sensor Data}, series = {Database Systems for Advanced Applications}, volume = {11448}, journal = {Database Systems for Advanced Applications}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-18590-9}, issn = {0302-9743}, doi = {10.1007/978-3-030-18590-9_80}, pages = {528 -- 532}, year = {2019}, abstract = {Industry 4.0 and the Internet of Things are recent developments that have lead to the creation of new kinds of manufacturing data. Linking this new kind of sensor data to traditional business information is crucial for enterprises to take advantage of the data's full potential. In this paper, we present a demo which allows experiencing this data integration, both vertically between technical and business contexts and horizontally along the value chain. The tool simulates a manufacturing company, continuously producing both business and sensor data, and supports issuing ad-hoc queries that answer specific questions related to the business. In order to adapt to different environments, users can configure sensor characteristics to their needs.}, language = {en} } @misc{HerzogHoenigSchroederPreikschatetal.2019, author = {Herzog, Benedict and H{\"o}nig, Timo and Schr{\"o}der-Preikschat, Wolfgang and Plauth, Max and K{\"o}hler, Sven and Polze, Andreas}, title = {Bridging the Gap}, series = {e-Energy '19: Proceedings of the Tenth ACM International Conference on Future Energy Systems}, journal = {e-Energy '19: Proceedings of the Tenth ACM International Conference on Future Energy Systems}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {978-1-4503-6671-7}, doi = {10.1145/3307772.3330176}, pages = {428 -- 430}, year = {2019}, abstract = {The recent restructuring of the electricity grid (i.e., smart grid) introduces a number of challenges for today's large-scale computing systems. To operate reliable and efficient, computing systems must adhere not only to technical limits (i.e., thermal constraints) but they must also reduce operating costs, for example, by increasing their energy efficiency. Efforts to improve the energy efficiency, however, are often hampered by inflexible software components that hardly adapt to underlying hardware characteristics. In this paper, we propose an approach to bridge the gap between inflexible software and heterogeneous hardware architectures. Our proposal introduces adaptive software components that dynamically adapt to heterogeneous processing units (i.e., accelerators) during runtime to improve the energy efficiency of computing systems.}, language = {en} } @misc{HernandezDemirayArnrichetal.2019, author = {Hernandez, Netzahualcoyotl and Demiray, Burcu and Arnrich, Bert and Favela, Jesus}, title = {An Exploratory Study to Detect Temporal Orientation Using Bluetooth's sensor}, series = {PervasiveHealth'19: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare}, journal = {PervasiveHealth'19: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {978-1-4503-6126-2}, issn = {2153-1633}, doi = {10.1145/3329189.3329223}, pages = {292 -- 297}, year = {2019}, abstract = {Mobile sensing technology allows us to investigate human behaviour on a daily basis. In the study, we examined temporal orientation, which refers to the capacity of thinking or talking about personal events in the past and future. We utilise the mksense platform that allows us to use the experience-sampling method. Individual's thoughts and their relationship with smartphone's Bluetooth data is analysed to understand in which contexts people are influenced by social environments, such as the people they spend the most time with. As an exploratory study, we analyse social condition influence through a collection of Bluetooth data and survey information from participant's smartphones. Preliminary results show that people are likely to focus on past events when interacting with close-related people, and focus on future planning when interacting with strangers. Similarly, people experience present temporal orientation when accompanied by known people. We believe that these findings are linked to emotions since, in its most basic state, emotion is a state of physiological arousal combined with an appropriated cognition. In this contribution, we envision a smartphone application for automatically inferring human emotions based on user's temporal orientation by using Bluetooth sensors, we briefly elaborate on the influential factor of temporal orientation episodes and conclude with a discussion and lessons learned.}, language = {en} } @misc{Giese2019, author = {Giese, Holger Burkhard}, title = {Software Engineering for Smart Cyber-Physical Systems}, series = {Proceedings of the 12th Innovations on Software Engineering Conference}, journal = {Proceedings of the 12th Innovations on Software Engineering Conference}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {978-1-4503-6215-3}, doi = {10.1145/3299771.3301650}, pages = {1}, year = {2019}, abstract = {Currently, a transformation of our technical world into a networked technical world where besides the embedded systems with their interaction with the physical world the interconnection of these nodes in the cyber world becomes a reality can be observed. In parallel nowadays there is a strong trend to employ artificial intelligence techniques and in particular machine learning to make software behave smart. Often cyber-physical systems must be self-adaptive at the level of the individual systems to operate as elements in open, dynamic, and deviating overall structures and to adapt to open and dynamic contexts while being developed, operated, evolved, and governed independently. In this presentation, we will first discuss the envisioned future scenarios for cyber-physical systems with an emphasis on the synergies networking can offer and then characterize which challenges for the design, production, and operation of these systems result. We will then discuss to what extent our current capabilities, in particular concerning software engineering match these challenges and where substantial improvements for the software engineering are crucial. In today's software engineering for embedded systems models are used to plan systems upfront to maximize envisioned properties on the one hand and minimize cost on the other hand. When applying the same ideas to software for smart cyber-physical systems, it soon turned out that for these systems often somehow more subtle links between the involved models and the requirements, users, and environment exist. Self-adaptation and runtime models have been advocated as concepts to covers the demands that result from these subtler links. Lately, both trends have been brought together more thoroughly by the notion of self-aware computing systems. We will review the underlying causes, discuss some our work in this direction, and outline related open challenges and potential for future approaches to software engineering for smart cyber-physical systems.}, language = {en} } @misc{Giese2017, author = {Giese, Holger}, title = {Formal models and analysis for self-adaptive cyber-physical systems}, series = {Lecture notes in computer science}, volume = {10231}, journal = {Lecture notes in computer science}, editor = {Kouchnarenko, Olga and Khosravi, Ramtin}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-57666-4}, issn = {0302-9743}, doi = {10.1007/978-3-319-57666-4_1}, pages = {3 -- 9}, year = {2017}, abstract = {In this extended abstract, we will analyze the current challenges for the envisioned Self-Adaptive CPS. In addition, we will outline our results to approach these challenges with SMARTSOS [10] a generic approach based on extensions of graph transformation systems employing open and adaptive collaborations and models at runtime for trustworthy self-adaptation, self-organization, and evolution of the individual systems and the system-of-systems level taking the independent development, operation, management, and evolution of these systems into account.}, language = {en} } @misc{GhahremaniGiese2019, author = {Ghahremani, Sona and Giese, Holger}, title = {Performance evaluation for self-healing systems}, series = {2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)}, journal = {2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)}, publisher = {IEEE}, address = {New York}, isbn = {978-1-7281-2406-3}, doi = {10.1109/FAS-W.2019.00039}, pages = {116 -- 119}, year = {2019}, abstract = {Evaluating the performance of self-adaptive systems (SAS) is challenging due to their complexity and interaction with the often highly dynamic environment. In the context of self-healing systems (SHS), employing simulators has been shown to be the most dominant means for performance evaluation. Simulating a SHS also requires realistic fault injection scenarios. We study the state of the practice for evaluating the performance of SHS by means of a systematic literature review. We present the current practice and point out that a more thorough and careful treatment in evaluating the performance of SHS is required.}, language = {en} } @misc{GawronChengMeinel2017, author = {Gawron, Marian and Cheng, Feng and Meinel, Christoph}, title = {PVD: Passive Vulnerability Detection}, series = {8th International Conference on Information and Communication Systems (ICICS)}, journal = {8th International Conference on Information and Communication Systems (ICICS)}, publisher = {IEEE}, address = {New York}, isbn = {978-1-5090-4243-2}, issn = {2471-125X}, doi = {10.1109/IACS.2017.7921992}, pages = {322 -- 327}, year = {2017}, abstract = {The identification of vulnerabilities relies on detailed information about the target infrastructure. The gathering of the necessary information is a crucial step that requires an intensive scanning or mature expertise and knowledge about the system even though the information was already available in a different context. In this paper we propose a new method to detect vulnerabilities that reuses the existing information and eliminates the necessity of a comprehensive scan of the target system. Since our approach is able to identify vulnerabilities without the additional effort of a scan, we are able to increase the overall performance of the detection. Because of the reuse and the removal of the active testing procedures, our approach could be classified as a passive vulnerability detection. We will explain the approach and illustrate the additional possibility to increase the security awareness of users. Therefore, we applied the approach on an experimental setup and extracted security relevant information from web logs.}, language = {en} } @misc{FlorioTrappDoellner2019, author = {Florio, Alessandro and Trapp, Matthias and D{\"o}llner, J{\"u}rgen Roland Friedrich}, title = {Semantic-driven Visualization Techniques for Interactive Exploration of 3D Indoor Models}, series = {2019 23rd International Conference Information Visualisation (IV)}, journal = {2019 23rd International Conference Information Visualisation (IV)}, publisher = {Inst. of Electr. and Electronics Engineers}, address = {Los Alamitos}, isbn = {978-1-7281-2838-2}, issn = {2375-0138}, doi = {10.1109/IV.2019.00014}, pages = {25 -- 30}, year = {2019}, abstract = {The availability of detailed virtual 3D building models including representations of indoor elements, allows for a wide number of applications requiring effective exploration and navigation functionality. Depending on the application context, users should be enabled to focus on specific Objects-of-Interests (OOIs) or important building elements. This requires approaches to filtering building parts as well as techniques to visualize important building objects and their relations. For it, this paper explores the application and combination of interactive rendering techniques as well as their semanticallydriven configuration in the context of 3D indoor models.}, language = {en} } @misc{Fink2009, author = {Fink, Hans-Peter}, title = {Von Biopolymeren und Biokunststoffen : Antrittsvorlesung 2009-06-04}, publisher = {Univ.-Bibl.}, address = {Potsdam}, year = {2009}, abstract = {Prof. Fink wird zum einen auf die industriell schon lange genutzten nat{\"u}rlichen Polymere wie Cellulose, St{\"a}rke und Lignin eingehen, zum anderen auf neue Entwicklungen bei biobasierten Kunststoffen. Von besonderer Bedeutung ist dabei die Aufkl{\"a}rung von Zusammenh{\"a}ngen zwischen Prozessparametern, Strukturen und Eigenschaften.}, language = {de} } @misc{BjoerkHoelze2019, author = {Bj{\"o}rk, Jennie and H{\"o}lze, Katharina}, title = {Editorial}, series = {Creativity and innovation management}, volume = {28}, journal = {Creativity and innovation management}, number = {3}, publisher = {Wiley}, address = {Hoboken}, issn = {0963-1690}, doi = {10.1111/caim.12336}, pages = {289 -- 290}, year = {2019}, language = {en} } @misc{BartzYangBethgeetal.2019, author = {Bartz, Christian and Yang, Haojin and Bethge, Joseph and Meinel, Christoph}, title = {LoANs}, series = {Computer Vision - ACCV 2018 Workshops}, volume = {11367}, journal = {Computer Vision - ACCV 2018 Workshops}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-21074-8}, issn = {0302-9743}, doi = {10.1007/978-3-030-21074-8_29}, pages = {341 -- 356}, year = {2019}, abstract = {Recently, deep neural networks have achieved remarkable performance on the task of object detection and recognition. The reason for this success is mainly grounded in the availability of large scale, fully annotated datasets, but the creation of such a dataset is a complicated and costly task. In this paper, we propose a novel method for weakly supervised object detection that simplifies the process of gathering data for training an object detector. We train an ensemble of two models that work together in a student-teacher fashion. Our student (localizer) is a model that learns to localize an object, the teacher (assessor) assesses the quality of the localization and provides feedback to the student. The student uses this feedback to learn how to localize objects and is thus entirely supervised by the teacher, as we are using no labels for training the localizer. In our experiments, we show that our model is very robust to noise and reaches competitive performance compared to a state-of-the-art fully supervised approach. We also show the simplicity of creating a new dataset, based on a few videos (e.g. downloaded from YouTube) and artificially generated data.}, language = {en} }