Zobrazeno 1 - 10
of 632
pro vyhledávání: '"Jain , Shubham"'
Visual navigation takes inspiration from humans, who navigate in previously unseen environments using vision without detailed environment maps. Inspired by this, we introduce a novel no-RL, no-graph, no-odometry approach to visual navigation using fe
Externí odkaz:
http://arxiv.org/abs/2411.09893
We propose Few-Class Arena (FCA), as a unified benchmark with focus on testing efficient image classification models for few classes. A wide variety of benchmark datasets with many classes (80-1000) have been created to assist Computer Vision archite
Externí odkaz:
http://arxiv.org/abs/2411.01099
Edge computing has emerged as an alternative to reduce transmission and processing delay and preserve privacy of the video streams. However, the ever-increasing complexity of Deep Neural Networks (DNNs) used in video-based applications (e.g. object d
Externí odkaz:
http://arxiv.org/abs/2410.11233
Autor:
Jain, Shubham, pramanick, paramita
We formally introduce and study Toeplitz operators on the Hardy space of the $n$-dimensional Hartogs triangle. We find a precise relation between these operators and the Toeplitz operators on the Hardy space of the unit polydisc $\mathbb D^n.$ As an
Externí odkaz:
http://arxiv.org/abs/2410.00791
In this work, we present RadGazeGen, a novel framework for integrating experts' eye gaze patterns and radiomic feature maps as controls to text-to-image diffusion models for high fidelity medical image generation. Despite the recent success of text-t
Externí odkaz:
http://arxiv.org/abs/2410.00307
Autor:
Wang, Liang, Jain, Shubham, Dou, Yingtong, Wang, Junpeng, Yeh, Chin-Chia Michael, Fan, Yujie, Aboagye, Prince, Zheng, Yan, Dai, Xin, Zhuang, Zhongfang, Saini, Uday Singh, Zhang, Wei
Numerous algorithms have been developed for online product rating prediction, but the specific influence of user and product information in determining the final prediction score remains largely unexplored. Existing research often relies on narrowly
Externí odkaz:
http://arxiv.org/abs/2409.04649
Autor:
Jain, Shubham P., Albert, Victor V.
The non-local interactions in several quantum devices allow for the realization of more compact quantum encodings while retaining the same degree of protection against noise. Anticipating that short to medium-length codes will soon be realizable, it
Externí odkaz:
http://arxiv.org/abs/2408.12752
Let $\sigma : \mathbb C^d \rightarrow \mathbb C^d$ be an affine-linear involution such that $J_\sigma = -1$ and let $U, V$ be two domains in $\mathbb C^d.$ Let $\phi : U \rightarrow V$ be a $\sigma$-invariant $2$-proper map such that $J_\phi$ is affi
Externí odkaz:
http://arxiv.org/abs/2408.04384
Autor:
Meeus, Matthieu, Shilov, Igor, Jain, Shubham, Faysse, Manuel, Rei, Marek, de Montjoye, Yves-Alexandre
Whether LLMs memorize their training data and what this means, from privacy leakage to detecting copyright violations -- has become a rapidly growing area of research over the last two years. In recent months, more than 10 new methods have been propo
Externí odkaz:
http://arxiv.org/abs/2406.17975
Publikováno v:
ICPR 2024
Although accuracy and computation benchmarks are widely available to help choose among neural network models, these are usually trained on datasets with many classes, and do not give a good idea of performance for few (< 10) classes. The conventional
Externí odkaz:
http://arxiv.org/abs/2404.05981