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pro vyhledávání: '"Biggs, Benjamin"'
Autor:
Biggs, Benjamin Adams
This work is inspired by robotic search applications where a robot or team of robots is equipped with sensors and tasked to autonomously acquire as much information as possible from a region of interest. To accomplish this task, robots must plan path
Externí odkaz:
http://hdl.handle.net/10919/113958
Autor:
Biggs, Benjamin, Seshadri, Arjun, Zou, Yang, Jain, Achin, Golatkar, Aditya, Xie, Yusheng, Achille, Alessandro, Swaminathan, Ashwin, Soatto, Stefano
We present Diffusion Soup, a compartmentalization method for Text-to-Image Generation that averages the weights of diffusion models trained on sharded data. By construction, our approach enables training-free continual learning and unlearning with no
Externí odkaz:
http://arxiv.org/abs/2406.08431
The continued need for improvements in accuracy, throughput, and efficiency of Deep Neural Networks has resulted in a multitude of methods that make the most of custom architectures on FPGAs. These include the creation of hand-crafted networks and th
Externí odkaz:
http://arxiv.org/abs/2304.08400
This paper presents Shape of You (SoY), an approach to improve the accuracy of 3D body shape estimation for vision-based clothing recommendation systems. While existing methods have successfully estimated 3D poses, there remains a lack of work in pre
Externí odkaz:
http://arxiv.org/abs/2304.07389
We provide theoretical bounds on the worst case performance of the greedy algorithm in seeking to maximize a normalized, monotone, but not necessarily submodular objective function under a simple partition matroid constraint. We also provide worst ca
Externí odkaz:
http://arxiv.org/abs/2210.09868
We present the results of experiments performed using a small autonomous underwater vehicle to determine the location of an isobath within a bounded area. The primary contribution of this work is to implement and integrate several recent developments
Externí odkaz:
http://arxiv.org/abs/2210.02524
The growing proliferation of FPGAs and High-level Synthesis (HLS) tools has led to a large interest in designing hardware accelerators for complex operations and algorithms. However, existing HLS toolflows typically require a significant amount of us
Externí odkaz:
http://arxiv.org/abs/2201.11522
Autor:
Biggs, Benjamin, Ehrhadt, Sébastien, Joo, Hanbyul, Graham, Benjamin, Vedaldi, Andrea, Novotny, David
We consider the problem of obtaining dense 3D reconstructions of humans from single and partially occluded views. In such cases, the visual evidence is usually insufficient to identify a 3D reconstruction uniquely, so we aim at recovering several pla
Externí odkaz:
http://arxiv.org/abs/2011.00980
Publikováno v:
16th European Conference Glasgow UK August 23 to 28 2020 Proceedings Part XI
We introduce an automatic, end-to-end method for recovering the 3D pose and shape of dogs from monocular internet images. The large variation in shape between dog breeds, significant occlusion and low quality of internet images makes this a challengi
Externí odkaz:
http://arxiv.org/abs/2007.11110
Autor:
Biggs, Benjamin
Sustainable Drainage System (SuDS) technologies set out to mitigate the adverse effects of urban stormwater runoff, through a multi-objective approach. Permeable pavement systems (PPSs) are one of the most widely-adopted SuDS technologies in South Af
Externí odkaz:
http://hdl.handle.net/11427/23016