Zobrazeno 1 - 10
of 4 505
pro vyhledávání: '"Björkman, P"'
The human brain encodes stimuli from the environment into representations that form a sensory perception of the world. Despite recent advances in understanding visual and auditory perception, olfactory perception remains an under-explored topic in th
Externí odkaz:
http://arxiv.org/abs/2411.03038
Autor:
Reichlin, Alfredo, Tegnér, Gustaf, Vasco, Miguel, Yin, Hang, Björkman, Mårten, Kragic, Danica
Given a finite set of sample points, meta-learning algorithms aim to learn an optimal adaptation strategy for new, unseen tasks. Often, this data can be ambiguous as it might belong to different tasks concurrently. This is particularly the case in me
Externí odkaz:
http://arxiv.org/abs/2410.01476
Robotic systems for manipulation tasks are increasingly expected to be easy to configure for new tasks or unpredictable environments, while keeping a transparent policy that is readable and verifiable by humans. We propose the method BEhavior TRee eX
Externí odkaz:
http://arxiv.org/abs/2409.13356
Publikováno v:
2023 IEEE/CVF CVPRW, pp. 4454-4463
This paper is about effectively utilizing synthetic data for training deep neural networks for industrial parts classification, in particular, by taking into account the domain gap against real-world images. To this end, we introduce a synthetic data
Externí odkaz:
http://arxiv.org/abs/2404.08778
Publikováno v:
International Conference on Human-Computer Interaction (HCII) 2024
This paper presents findings from an exploratory needfinding study investigating the research current status and potential participation of the competitions on the robotics community towards four human-centric topics: safety, privacy, explainability,
Externí odkaz:
http://arxiv.org/abs/2403.18616
Dance typically involves professional choreography with complex movements that follow a musical rhythm and can also be influenced by lyrical content. The integration of lyrics in addition to the auditory dimension, enriches the foundational tone and
Externí odkaz:
http://arxiv.org/abs/2403.09407
Autor:
Zhang, Yuchong, Rajabi, Nona, Taleb, Farzaneh, Matviienko, Andrii, Ma, Yong, Björkman, Mårten, Kragic, Danica
Brain-robot interaction (BRI) empowers individuals to control (semi-)automated machines through their brain activity, either passively or actively. In the past decade, BRI systems have achieved remarkable success, predominantly harnessing electroence
Externí odkaz:
http://arxiv.org/abs/2403.06186
The ability to accurately estimate room impulse responses (RIRs) is integral to many applications of spatial audio processing. Regrettably, estimating the RIR using ambient signals, such as speech or music, remains a challenging problem due to, e.g.,
Externí odkaz:
http://arxiv.org/abs/2403.03762
Second-order processes introduce nonlinearities in quantum dynamics, unlocking a totally unexpected area of control operations. Here we show that the well-known Landau-Zener-St\"uckelberg-Majorana (LZSM) transition can be driven by a virtual process
Externí odkaz:
http://arxiv.org/abs/2402.10833
Current training of motion style transfer systems relies on consistency losses across style domains to preserve contents, hindering its scalable application to a large number of domains and private data. Recent image transfer works show the potential
Externí odkaz:
http://arxiv.org/abs/2312.07311