Phd Positions, Project 'spatiotemporal

2 maanden geleden

Amsterdam, Nederland Universiteit van Amsterdam Voltijd

PhD Positions, Project 'Spatiotemporal Reconstruction of Interacting People for Perceiving Systems'

**Faculteit/Dienst**:Faculteit der Natuurw., Wiskunde & Informatica**Opleidingsniveau**:Master**Functie type**:Promotieplaats**Sluitingsdatum**:31 oktober 2024**Vacaturenummer**:13444
- The Computer Vision lab provides 3 fully-funded PhD positions as part of the **ERC Starting Grant** project **STRIPES: SpatioTemporal Reconstruction of Interacting People for pErceiving Systems**.- Since humans live in a 3D world, their actions involve interacting with 3D objects. Thus, to understand human actions, we need to reason in 3D, or in 4D with the time dimension, about humans and objects jointly. There is significant prior work on estimating 3D humans without taking into account objects and estimating 3D objects without taking into account humans. But, comparatively, there is little work on reconstructing 3D Human-Object Interactions (HOI) from images.- Despite the progress, the field is still at its infancy. Intelligent systems need methods that work on natural images/videos, so that the whole body is tracked reliably in 3D, the hand pose is captured, objects are also tracked, and body
- and hand-object contact is realistic. However, essential components for this, such as interaction-aware representations for objects and humans, and estimating HOI from images/videos with contact and spacetime awareness, are still open problems. These are fundamental challenges and timely problems that call for a holistic approach.- We aim to tackle these by developing novel mathematical and computational HOI frameworks. To this end, we seek 3 PhD students to work on different, yet complementary, components of the project:
- **Position #1**: Develop & evaluate novel generative models for 3D/4D HOI.
- **Position #2**: Develop & evaluate novel methods for contact-aware 3D HOI reconstruction.
- **Position #3**: Develop & evaluate novel methods for spacetime-aware 4D HOI reconstruction.- The goal is performing cutting-edge fundamental research, publishing at top-tier venues, releasing data and code, and introducing new research problems. We highly value a strong computational and mathematical background along with strong creativity, curiosity, self-motivation and team spirit.- Let us know how your experience and interests fit with any of these positions**What are you going to do?**

**Tasks and responsibilities**:

- Develop and evaluate new methods at the intersection of (3D) Computer Vision, Computer Graphics and Machine Learning, within the project context described above;
- Collaborate with other people at the UvA, as well as (inter-)nationally;
- Regularly present internally on your progress;
- Regularly present intermediate research results at top-tier international conferences and workshops, and publish them in proceedings and journals;
- Provide a reviewing service for top-tier conferences and journals;
- Develop exciting demos for both the research community and for public outreach;
- Assist in relevant teaching activities, e.g., lectures, labs, co-advising BSc/MSc students.
- Complete and defend a PhD thesis within the official appointment duration of four years;
- You will be advised by Dimitris Tzionas (DT, UvA). The main location will be the UvA (Amsterdam) and the brand-new Lab42 building. We work on the intersection of (3D) Computer Vision, Graphics and Machine Learning. We publish at top international venues (CVPR, ICCV, ECCV, SIGGRAPH/TOG, IJCV, TPAMI. We have expertise on statistical 3D models for human bodies/hands, 3D human shape/pose understanding, and (inter-)action understanding. We work on both 3D/4D perception from images and 3D/4D synthesis. Recently, DT received a prestigious ERC Starting Grant, while two papers co-authored by DT were best-paper finalists at CVPR 2022 and GCPR 2022. An immediate (growing) team of 2 PhDs (Dimitrije Antic, Georgios Paschalidis) working on related topics is available for tight interactions. A surrounding team (CV lab) of 7 senior researchers and 13 PhD students (and growing) is also available for interactions. Our strong international network (ELLIS society and beyond) can also lead to potential collaborations and/or internships.**Your profile**

**Your experience and profile**:

- You have a MSc degree (or equivalent) in Artificial Intelligence, Computer Science, Engineering, (Applied) Mathematics/Physics, or any other related field;
- You have a strong background in (3D) Computer Vision, Graphics, and Machine Learning;
- You have solid mathematics foundations (statistics, calculus, geometry and linear algebra);
- You have excellent programming skills, especially in Python and PyTorch (C++ and CUDA are welcome);
- You have strong communication, presentation and writing skills, and excellent command of English;
- You are self-motivated, independent, creative, and you think critically and outside the box;
- You are resistant to stress, when it gets busy you keep your cool;
- You

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