Zobrazeno 1 - 10
of 16 214
pro vyhledávání: '"Munawar, A A"'
Diffusion models excel at generative modeling (e.g., text-to-image) but sampling requires multiple denoising network passes, limiting practicality. Efforts such as progressive distillation or consistency distillation have shown promise by reducing th
Externí odkaz:
http://arxiv.org/abs/2410.11971
Autor:
Allison, Christopher John, Zhou, Haoying, Munawar, Adnan, Kazanzides, Peter, Barragan, Juan Antonio
Interactive dynamic simulators are an accelerator for developing novel robotic control algorithms and complex systems involving humans and robots. In user training and synthetic data generation applications, a high-fidelity visualization of the simul
Externí odkaz:
http://arxiv.org/abs/2410.05095
Autor:
Cai, Zhixi, Dhall, Abhinav, Ghosh, Shreya, Hayat, Munawar, Kollias, Dimitrios, Stefanov, Kalin, Tariq, Usman
The detection and localization of deepfake content, particularly when small fake segments are seamlessly mixed with real videos, remains a significant challenge in the field of digital media security. Based on the recently released AV-Deepfake1M data
Externí odkaz:
http://arxiv.org/abs/2409.06991
Autor:
Basu, Kinjal, Abdelaziz, Ibrahim, Bradford, Kelsey, Crouse, Maxwell, Kate, Kiran, Kumaravel, Sadhana, Goyal, Saurabh, Munawar, Asim, Rizk, Yara, Wang, Xin, Lastras, Luis, Kapanipathi, Pavan
Autonomous agent applications powered by large language models (LLMs) have recently risen to prominence as effective tools for addressing complex real-world tasks. At their core, agentic workflows rely on LLMs to plan and execute the use of tools and
Externí odkaz:
http://arxiv.org/abs/2409.03797
Autor:
Abdelaziz, Ibrahim, Basu, Kinjal, Agarwal, Mayank, Kumaravel, Sadhana, Stallone, Matthew, Panda, Rameswar, Rizk, Yara, Bhargav, GP, Crouse, Maxwell, Gunasekara, Chulaka, Ikbal, Shajith, Joshi, Sachin, Karanam, Hima, Kumar, Vineet, Munawar, Asim, Neelam, Sumit, Raghu, Dinesh, Sharma, Udit, Soria, Adriana Meza, Sreedhar, Dheeraj, Venkateswaran, Praveen, Unuvar, Merve, Cox, David, Roukos, Salim, Lastras, Luis, Kapanipathi, Pavan
Large language models (LLMs) have recently shown tremendous promise in serving as the backbone to agentic systems, as demonstrated by their performance in multi-faceted, challenging benchmarks like SWE-Bench and Agent-Bench. However, to realize the t
Externí odkaz:
http://arxiv.org/abs/2407.00121
Despite advancements in robotic-assisted surgery, automating complex tasks like suturing remain challenging due to the need for adaptability and precision. Learning-based approaches, particularly reinforcement learning (RL) and imitation learning (IL
Externí odkaz:
http://arxiv.org/abs/2406.13865
Autor:
Borse, Shubhankar, Kadambi, Shreya, Pandey, Nilesh Prasad, Bhardwaj, Kartikeya, Ganapathy, Viswanath, Priyadarshi, Sweta, Garrepalli, Risheek, Esteves, Rafael, Hayat, Munawar, Porikli, Fatih
While Low-Rank Adaptation (LoRA) has proven beneficial for efficiently fine-tuning large models, LoRA fine-tuned text-to-image diffusion models lack diversity in the generated images, as the model tends to copy data from the observed training samples
Externí odkaz:
http://arxiv.org/abs/2406.08798
Publikováno v:
2024 International Symposium on Medical Robotics (ISMR)
The development of algorithms for automation of subtasks during robotic surgery can be accelerated by the availability of realistic simulation environments. In this work, we focus on one aspect of the realism of a surgical simulator, which is the pos
Externí odkaz:
http://arxiv.org/abs/2406.07375
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA)
Automation in surgical robotics has the potential to improve patient safety and surgical efficiency, but it is difficult to achieve due to the need for robust perception algorithms. In particular, 6D pose estimation of surgical instruments is critica
Externí odkaz:
http://arxiv.org/abs/2406.07328
In the era of exponential technology growth, one unexpected guest has claimed a seat in classrooms worldwide, Artificial Intelligence. Generative AI, such as ChatGPT, promises a revolution in education, yet it arrives with a double-edged sword. Its p
Externí odkaz:
http://arxiv.org/abs/2405.10645