Zobrazeno 1 - 10
of 697
pro vyhledávání: '"Sharma, Aditya P"'
Geometry problem-solving demands advanced reasoning abilities to process multimodal inputs and employ mathematical knowledge effectively. Vision-language models (VLMs) have made significant progress in various multimodal tasks. Yet, they still strugg
Externí odkaz:
http://arxiv.org/abs/2410.13510
Autor:
Leong, Samson H. W., Janquart, Justin, Sharma, Aditya Kumar, Martens, Paul, Ajith, Parameswaran, Hannuksela, Otto A.
The dense and dynamic environments within active galactic nuclei (AGN) accretion disks may serve as prolific birthplaces for binary black holes (BBHs) and one possible origin for some of the BBHs detected by gravitational-wave (GW) observatories. We
Externí odkaz:
http://arxiv.org/abs/2408.13144
We present LoCoVQA, a dynamic benchmark generator for evaluating long-context extractive reasoning in vision language models (VLMs). LoCoVQA augments test examples for mathematical reasoning, VQA, and character recognition tasks with increasingly lon
Externí odkaz:
http://arxiv.org/abs/2406.16851
Autor:
Saxon, Michael, Jahara, Fatima, Khoshnoodi, Mahsa, Lu, Yujie, Sharma, Aditya, Wang, William Yang
With advances in the quality of text-to-image (T2I) models has come interest in benchmarking their prompt faithfulness -- the semantic coherence of generated images to the prompts they were conditioned on. A variety of T2I faithfulness metrics have b
Externí odkaz:
http://arxiv.org/abs/2404.04251
Autor:
Manoharan, Amith, Sharma, Aditya, Belsare, Himani, Pal, Kaustab, Krishna, K. Madhava, Singh, Arun Kumar
Navigation of wheeled vehicles on uneven terrain necessitates going beyond the 2D approaches for trajectory planning. Specifically, it is essential to incorporate the full 6dof variation of vehicle pose and its associated stability cost in the planni
Externí odkaz:
http://arxiv.org/abs/2404.03307
Publikováno v:
ApJ 971 135 (2024)
Galactic spinning compact objects (COs) with non-zero ellipticity are expected to be sources of continuous gravitational waves (CGWs). Certain classes of hypothetical COs, such as neutron stars with quark cores (hybrid stars), and quark stars, are th
Externí odkaz:
http://arxiv.org/abs/2403.00502
Autor:
Callahan, Alison, McElfresh, Duncan, Banda, Juan M., Bunney, Gabrielle, Char, Danton, Chen, Jonathan, Corbin, Conor K., Dash, Debadutta, Downing, Norman L., Jain, Sneha S., Kotecha, Nikesh, Masterson, Jonathan, Mello, Michelle M., Morse, Keith, Nallan, Srikar, Pandya, Abby, Revri, Anurang, Sharma, Aditya, Sharp, Christopher, Thapa, Rahul, Wornow, Michael, Youssef, Alaa, Pfeffer, Michael A., Shah, Nigam H.
The impact of using artificial intelligence (AI) to guide patient care or operational processes is an interplay of the AI model's output, the decision-making protocol based on that output, and the capacity of the stakeholders involved to take the nec
Externí odkaz:
http://arxiv.org/abs/2403.07911
Point cloud prediction is an important yet challenging task in the field of autonomous driving. The goal is to predict future point cloud sequences that maintain object structures while accurately representing their temporal motion. These predicted p
Externí odkaz:
http://arxiv.org/abs/2401.17399
One key challenge in augmented reality is the placement of virtual content in natural locations. Existing automated techniques are only able to work with a closed-vocabulary, fixed set of objects. In this paper, we introduce a new open-vocabulary met
Externí odkaz:
http://arxiv.org/abs/2312.12815
In this paper we show an effective means of integrating data driven frameworks to sampling based optimal control to vastly reduce the compute time for easy adoption and adaptation to real time applications such as on-road autonomous driving in the pr
Externí odkaz:
http://arxiv.org/abs/2310.13077