Zobrazeno 1 - 10
of 95 338
pro vyhledávání: '"KAUSHIK, A."'
Autor:
Matta, Gopi Raju, Siddartha, Rahul, Girish, Rongali Simhachala Venkata, Sharma, Sumit, Mitra, Kaushik
Flare, an optical phenomenon resulting from unwanted scattering and reflections within a lens system, presents a significant challenge in imaging. The diverse patterns of flares, such as halos, streaks, color bleeding, and haze, complicate the flare
Externí odkaz:
http://arxiv.org/abs/2412.08200
Autor:
Bal, Kaushik, Biswas, Sanjit
Given a smooth and bounded domain $\Omega(\subset\mathbf{R}^N)$, we prove the existence of two non-trivial, non-negative solutions for the semilinear degenerate elliptic equation \begin{align} \left. \begin{array}{l} -\Delta_\lambda u=\mu g(z)|u|^{r-
Externí odkaz:
http://arxiv.org/abs/2412.04794
We propose a method to accurately and efficiently identify the constitutive behavior of complex materials through full-field observations. We formulate the problem of inferring constitutive relations from experiments as an indirect inverse problem th
Externí odkaz:
http://arxiv.org/abs/2412.02864
Autor:
Long, Yinghan, Roy, Kaushik
Recently, diffusion models have demonstrated impressive capabilities in text-guided and image-conditioned image generation. However, existing diffusion models cannot simultaneously generate a segmentation map of objects and a corresponding image from
Externí odkaz:
http://arxiv.org/abs/2412.02929
Autor:
Reddy, Lauhitya, Anand, Ketan, Kaushik, Shoibolina, Rodrigo, Corey, McKay, J. Lucas, Kesar, Trisha M., Kwon, Hyeokhyen
Accurate diagnosis of gait impairments is often hindered by subjective or costly assessment methods, with current solutions requiring either expensive multi-camera equipment or relying on subjective clinical observation. There is a critical need for
Externí odkaz:
http://arxiv.org/abs/2412.01056
This study explores the application of deep learning for rainfall prediction, leveraging the Spinning Enhanced Visible and Infrared Imager (SEVIRI) High rate information transmission (HRIT) data as input and the Operational Program on the Exchange of
Externí odkaz:
http://arxiv.org/abs/2412.00451
Underwater images suffer from colour shifts, low contrast, and haziness due to light absorption, refraction, scattering and restoring these images has warranted much attention. In this work, we present Unsupervised Underwater Neural Radiance Field U2
Externí odkaz:
http://arxiv.org/abs/2411.16172
Autor:
Sachdeva, Bhuvan, Akash, Naren, Ashraf, Tajamul, Mueller, Simon, Schultz, Thomas, Wintergerst, Maximilian W. M., Prasad, Niharika Singri, Murali, Kaushik, Jain, Mohit
Cataract surgery is the most common surgical procedure globally, with a disproportionately higher burden in developing countries. While automated surgical video analysis has been explored in general surgery, its application to ophthalmic procedures r
Externí odkaz:
http://arxiv.org/abs/2411.16794
In this work, we introduce a generative approach for pose-free reconstruction of $360^{\circ}$ scenes from a limited number of uncalibrated 2D images. Pose-free scene reconstruction from incomplete, unposed observations is usually regularized with de
Externí odkaz:
http://arxiv.org/abs/2411.15966
Given a graph $A$ on a group $G$ and an equivalence relation $B$ on $G$, the $B$ super$A$ graph, whose vertex set is $G$ and two vertices $g$, $h$ are adjacent if and only if there exist $g^{\prime} \in[g]$ and $h^{\prime} \in[h]$ such that $g^{\prim
Externí odkaz:
http://arxiv.org/abs/2411.16734