Zobrazeno 1 - 10
of 7 381
pro vyhledávání: '"Bharath A P"'
Autor:
Yoo, Jinsu, Feng, Zhenyang, Pan, Tai-Yu, Sun, Yihong, Phoo, Cheng Perng, Chen, Xiangyu, Campbell, Mark, Weinberger, Kilian Q., Hariharan, Bharath, Chao, Wei-Lun
Accurate 3D object detection in real-world environments requires a huge amount of annotated data with high quality. Acquiring such data is tedious and expensive, and often needs repeated effort when a new sensor is adopted or when the detector is dep
Externí odkaz:
http://arxiv.org/abs/2410.02646
Autor:
Kao, Chia-Hsiang, Hariharan, Bharath
Despite its widespread use in neural networks, error backpropagation has faced criticism for its lack of biological plausibility, suffering from issues such as the backward locking problem and the weight transport problem. These limitations have moti
Externí odkaz:
http://arxiv.org/abs/2409.19841
Autor:
He, Zizhao, Li, Rui, Shu, Yiping, Tortora, Crescenzo, Er, Xinzhong, Canameras, Raoul, Schuldt, Stefan, Napolitano, Nicola R., N, Bharath Chowdhary, Chen, Qihang, Li, Nan, Feng, Haicheng, Deng, Limeng, Li, Guoliang, Koopmans, L. V. E., Dvornik, Andrej
Gravitationally strongly lensed quasars (SL-QSO) offer invaluable insights into cosmological and astrophysical phenomena. With the data from ongoing and next-generation surveys, thousands of SL-QSO systems can be discovered expectedly, leading to unp
Externí odkaz:
http://arxiv.org/abs/2409.17471
Autor:
Li, Zilu, Yang, Guandao, Zhao, Qingqing, Deng, Xi, Guibas, Leonidas, Hariharan, Bharath, Wetzstein, Gordon
Publikováno v:
SIGGRAPH Conference Papers 2024
This paper presents a method to leverage arbitrary neural network architecture for control variates. Control variates are crucial in reducing the variance of Monte Carlo integration, but they hinge on finding a function that both correlates with the
Externí odkaz:
http://arxiv.org/abs/2409.15394
Autor:
Chen, Zonghao, Mustafi, Aratrika, Glaser, Pierre, Korba, Anna, Gretton, Arthur, Sriperumbudur, Bharath K.
We introduce a (de)-regularization of the Maximum Mean Discrepancy (DrMMD) and its Wasserstein gradient flow. Existing gradient flows that transport samples from source distribution to target distribution with only target samples, either lack tractab
Externí odkaz:
http://arxiv.org/abs/2409.14980
Automated cell segmentation is crucial for various biological and medical applications, facilitating tasks like cell counting, morphology analysis, and drug discovery. However, manual segmentation is time-consuming and prone to subjectivity, necessit
Externí odkaz:
http://arxiv.org/abs/2409.08163
Autor:
Goda, Bharath Antarvedi, Bacca, Mattia
Cutting mechanics in soft solids present a complex mechanical challenge due to the intricate behavior of soft ductile materials as they undergo crack nucleation and propagation. Recent research has explored the relationship between the cutting force
Externí odkaz:
http://arxiv.org/abs/2409.02665
Autor:
Nair, Bharath Rajiv
This paper explores the paradigm of Collaborative Perception (CP), where multiple robots and sensors in the environment share and integrate sensor data to construct a comprehensive representation of the surroundings. By aggregating data from various
Externí odkaz:
http://arxiv.org/abs/2408.14039
Autor:
On, Y., Vimalesvaran, K., Zaman, S., Shun-Shin, M., Howard, J., Linton, N., Cole, G., Bharath, A. A., Varela, M.
The assessment of mitral regurgitation (MR) using cardiac MRI, particularly Cine MRI, is a promising technique due to its wide availability. However, some of the temporal information available in clinical Cine MRI may not be fully utilised, as it req
Externí odkaz:
http://arxiv.org/abs/2408.11532
The interplay between cosmology and strongly coupled dynamics can yield transient spectral features that vanish at late times, but which may leave behind phenomenological signatures in the spectrum of primordial fluctuations. Of particular interest a
Externí odkaz:
http://arxiv.org/abs/2408.08951