Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Sai Bhargav"'
Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering
Autor:
Rongali, Sai Bhargav, C, Mohamad Hassan N, Jha, Ankit, Bhargava, Neha, Prasad, Saurabh, Banerjee, Biplab
Publikováno v:
WACV2025
This paper tackles the intricate challenge of video question-answering (VideoQA). Despite notable progress, current methods fall short of effectively integrating questions with video frames and semantic object-level abstractions to create question-aw
Externí odkaz:
http://arxiv.org/abs/2412.09230
In recent times a number of platforms are using badge-based achievements or leaderboards to increase user involvement and participation. Due to recent advancements, there is a question of up to what extent virtual achievement systems have on users us
Externí odkaz:
http://arxiv.org/abs/2409.05877
Autor:
Rongali, Sai Bhargav, Mehrotra, Sarthak, Jha, Ankit, C, Mohamad Hassan N, Bose, Shirsha, Gupta, Tanisha, Singha, Mainak, Banerjee, Biplab
In Generalized Category Discovery (GCD), we cluster unlabeled samples of known and novel classes, leveraging a training dataset of known classes. A salient challenge arises due to domain shifts between these datasets. To address this, we present a no
Externí odkaz:
http://arxiv.org/abs/2404.05366
Autor:
Vinogradov, Evgenii, Kumar, A. V. S. Sai Bhargav, Minucci, Franco, Pollin, Sofie, Natalizio, Enrico
In this paper, we investigate the integration of drone identification data (Remote ID) with collision avoidance mechanisms to improve the safety and efficiency of multi-drone operations. We introduce an improved Near Mid-Air Collision (NMAC) definiti
Externí odkaz:
http://arxiv.org/abs/2309.00843
Miniaturization of devices inculcates the need for small-sized actuators. Actuators in the size of a few centimeters are not uncommon but miniature devices need ones that are less than a few centimeters in dimension. Market for such actuators is rath
Externí odkaz:
http://arxiv.org/abs/2212.13123
For the smart vehicular network, we studied two technologies to realize it. The first technology is the cooperative scheme which improves capacity by properly combining the V2V and V2I. The second technology is an online learning algorithm which can
Externí odkaz:
http://arxiv.org/abs/2211.05775
Publikováno v:
In Journal of Energy Storage 30 June 2024 91
Autor:
Thakkar, Jay1 (AUTHOR) jay_thakkar@student.uml.edu, Annavajjala, Sai Bhargav2 (AUTHOR) saibhargav_annavajjala@student.uml.edu, Sobkowicz, Margaret J.1 (AUTHOR) margaret_sobkowiczkline@uml.edu, Kosny, Jan2 (AUTHOR) jan_kosny@uml.edu
Publikováno v:
Materials (1996-1944). May2024, Vol. 17 Issue 10, p2442. 16p.
Autor:
Rufus, Nivedita, Nair, Unni Krishnan R., Kumar, A. V. S. Sai Bhargav, Madiraju, Vashist, Krishna, K. Madhava
In this paper, we present SROM, a novel real-time Simultaneous Localization and Mapping (SLAM) system for autonomous vehicles. The keynote of the paper showcases SROM's ability to maintain localization at low sampling rates or at high linear or angul
Externí odkaz:
http://arxiv.org/abs/2005.02042
Autor:
Jyotish, P. S. Naga, Gopalakrishnan, Bharath, Kumar, A. V. S. Sai Bhargav, Singh, Arun Kumar, Krishna, K. Madhava, Manocha, Dinesh
The probabilistic velocity obstacle (PVO) extends the concept of velocity obstacle (VO) to work in uncertain dynamic environments. In this paper, we show how a robust model predictive control (MPC) with PVO constraints under non-parametric uncertaint
Externí odkaz:
http://arxiv.org/abs/2001.09007