Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Choudhury, Rohan"'
Developing autonomous vehicles that can safely interact with pedestrians requires large amounts of pedestrian and vehicle data in order to learn accurate pedestrian-vehicle interaction models. However, gathering data that include crucial but rare sce
Externí odkaz:
http://arxiv.org/abs/2407.04843
We propose to answer zero-shot questions about videos by generating short procedural programs that derive a final answer from solving a sequence of visual subtasks. We present Procedural Video Querying (ProViQ), which uses a large language model to g
Externí odkaz:
http://arxiv.org/abs/2312.00937
Existing volumetric methods for predicting 3D human pose estimation are accurate, but computationally expensive and optimized for single time-step prediction. We present TEMPO, an efficient multi-view pose estimation model that learns a robust spatio
Externí odkaz:
http://arxiv.org/abs/2309.07910
Fundamental to robotics is the debate between model-based and model-free learning: should the robot build an explicit model of the world, or learn a policy directly? In the context of HRI, part of the world to be modeled is the human. One option is f
Externí odkaz:
http://arxiv.org/abs/1901.01291
Autor:
Eschweiler, Dennis, Spina, Thiago V., Choudhury, Rohan C., Meyerowitz, Elliot, Cunha, Alexandre, Stegmaier, Johannes
The quantitative analysis of cellular membranes helps understanding developmental processes at the cellular level. Particularly 3D microscopic image data offers valuable insights into cell dynamics, but error-free automatic segmentation remains chall
Externí odkaz:
http://arxiv.org/abs/1810.06933
Publikováno v:
ACM/IEEE International Conference on Human-Robot Interaction; Mar2019, p317-325, 9p
Publikováno v:
Intelligent Tutoring Systems (9783319395821); 2016, p122-132, 11p