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pro vyhledávání: '"Lang, Christopher"'
Multi-task networks can potentially improve performance and computational efficiency compared to single-task networks, facilitating online deployment. However, current multi-task architectures in point cloud perception combine multiple task-specific
Externí odkaz:
http://arxiv.org/abs/2404.12798
Self-supervised multi-object trackers have tremendous potential as they enable learning from raw domain-specific data. However, their re-identification accuracy still falls short compared to their supervised counterparts. We hypothesize that this dra
Externí odkaz:
http://arxiv.org/abs/2304.13147
Self-supervised feature learning enables perception systems to benefit from the vast raw data recorded by vehicle fleets worldwide. While video-level self-supervised learning approaches have shown strong generalizability on classification tasks, the
Externí odkaz:
http://arxiv.org/abs/2302.09043
Autor:
Lang, Christopher Ilic
Semiconductor fabrication relies heavily on the precision and accuracy of its individual processes in order to meet device requirements. If left unchecked, variations in these processes can lead to decreased performance and yield of the final product
Externí odkaz:
https://hdl.handle.net/1721.1/143184
Object detection, for the most part, has been formulated in the euclidean space, where euclidean or spherical geodesic distances measure the similarity of an image region to an object class prototype. In this work, we study whether a hyperbolic geome
Externí odkaz:
http://arxiv.org/abs/2203.08049
Object recognition for the most part has been approached as a one-hot problem that treats classes to be discrete and unrelated. Each image region has to be assigned to one member of a set of objects, including a background class, disregarding any sim
Externí odkaz:
http://arxiv.org/abs/2112.11366
Autor:
Lang, Christopher M.
In this work, electrolytes for secondary batteries and fuel cells were investigated. Ionic liquids (ILs), for use as battery electrolytes, were formed using quaternary ammonium salts (Quats) and aluminum chloride. The room temperature (RT) carbonate
Externí odkaz:
http://hdl.handle.net/1853/14027
An increasing body of research focuses on using neural networks to model time series. A common assumption in training neural networks via maximum likelihood estimation on time series is that the errors across time steps are uncorrelated. However, err
Externí odkaz:
http://arxiv.org/abs/2101.12578
Autor:
Lang, Christopher Ilic
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and
Externí odkaz:
http://hdl.handle.net/1721.1/113137
Publikováno v:
In Electrochimica Acta 20 January 2023 439