Zobrazeno 1 - 10
of 5 857
pro vyhledávání: '"A Srikrishna"'
Autor:
Shetty, Karthik, Birkhold, Annette, Egger, Bernhard, Jaganathan, Srikrishna, Strobel, Norbert, Kowarschik, Markus, Maier, Andreas
We present a novel approach for 3D human pose estimation by employing probabilistic modeling. This approach leverages the advantages of normalizing flows in non-Euclidean geometries to address uncertain poses. Specifically, our method employs normali
Externí odkaz:
http://arxiv.org/abs/2412.04665
We consider the problem of single-source domain generalization. Existing methods typically rely on extensive augmentations to synthetically cover diverse domains during training. However, they struggle with semantic shifts (e.g., background and viewp
Externí odkaz:
http://arxiv.org/abs/2411.16788
Autor:
Sundaram, Aravindan, Pal, Ujjayan, Chauhan, Abhimanyu, Agarwal, Aishwarya, Karanam, Srikrishna
Despite recent advancements in text-to-image models, achieving semantically accurate images in text-to-image diffusion models is a persistent challenge. While existing initial latent optimization methods have demonstrated impressive performance, we i
Externí odkaz:
http://arxiv.org/abs/2411.16783
Autor:
Iyer, Srikrishna
We present our submission to the BabyLM challenge, aiming to push the boundaries of data-efficient language model pretraining. Our method builds upon deep mutual learning, introducing a student model search for diverse initialization. We address the
Externí odkaz:
http://arxiv.org/abs/2411.16487
In this paper, we consider nonparametric clustering of $M$ independent and identically distributed (i.i.d.) data streams generated from unknown distributions. The distributions of the $M$ data streams belong to $K$ underlying distribution clusters. E
Externí odkaz:
http://arxiv.org/abs/2411.13922
Autor:
M, Avinash, Bhashyam, Srikrishna
In this paper, we propose a bistatic sensing-assisted beam tracking method for simultaneous communication and tracking of user vehicles navigating arbitrary-shaped road trajectories. Prior work on simultaneous communication and tracking assumes a col
Externí odkaz:
http://arxiv.org/abs/2411.13201
Autor:
Kashyap, Srikrishna S
I present CMBAnalysis, a state-of-the-art Python framework designed for high-precision analysis of Cosmic Microwave Background (CMB) radiation data. This comprehensive package implements parallel Markov Chain Monte Carlo (MCMC) techniques for robust
Externí odkaz:
http://arxiv.org/abs/2411.12207
We consider the problem of conditional text-to-image synthesis with diffusion models. Most recent works need to either finetune specific parts of the base diffusion model or introduce new trainable parameters, leading to deployment inflexibility due
Externí odkaz:
http://arxiv.org/abs/2411.10800
We consider the problem of independently, in a disentangled fashion, controlling the outputs of text-to-image diffusion models with color and style attributes of a user-supplied reference image. We present the first training-free, test-time-only meth
Externí odkaz:
http://arxiv.org/abs/2409.02429
Referring Expression Segmentation (RES) aims to provide a segmentation mask of the target object in an image referred to by the text (i.e., referring expression). Existing methods require large-scale mask annotations. Moreover, such approaches do not
Externí odkaz:
http://arxiv.org/abs/2407.02389