Zobrazeno 1 - 10
of 422
pro vyhledávání: '"Praveen, R. P."'
Autor:
Lin, Juexin, Yadav, Sachin, Liu, Feng, Rossi, Nicholas, Suram, Praveen R., Chembolu, Satya, Chandran, Prijith, Mohapatra, Hrushikesh, Lee, Tony, Magnani, Alessandro, Liao, Ciya
Embedding-based neural retrieval (EBR) is an effective search retrieval method in product search for tackling the vocabulary gap between customer search queries and products. The initial launch of our EBR system at Walmart yielded significant gains i
Externí odkaz:
http://arxiv.org/abs/2408.04884
Autor:
Praveen, R. Gnana, Alam, Jahangir
In video-based emotion recognition, audio and visual modalities are often expected to have a complementary relationship, which is widely explored using cross-attention. However, they may also exhibit weak complementary relationships, resulting in poo
Externí odkaz:
http://arxiv.org/abs/2403.19554
Autor:
Praveen, R. Gnana, Alam, Jahangir
Though multimodal emotion recognition has achieved significant progress over recent years, the potential of rich synergic relationships across the modalities is not fully exploited. In this paper, we introduce Recursive Joint Cross-Modal Attention (R
Externí odkaz:
http://arxiv.org/abs/2403.13659
Autor:
Praveen, R. Gnana, Alam, Jahangir
Although person or identity verification has been predominantly explored using individual modalities such as face and voice, audio-visual fusion has recently shown immense potential to outperform unimodal approaches. Audio and visual modalities are o
Externí odkaz:
http://arxiv.org/abs/2403.04661
Autor:
Praveen, R. Gnana, Alam, Jahangir
Person or identity verification has been recently gaining a lot of attention using audio-visual fusion as faces and voices share close associations with each other. Conventional approaches based on audio-visual fusion rely on score-level or early fea
Externí odkaz:
http://arxiv.org/abs/2403.04654
Text mining research has grown in importance in recent years due to the tremendous increase in the volume of unstructured textual data. This has resulted in immense potential as well as obstacles in the sector, which may be efficiently addressed with
Externí odkaz:
http://arxiv.org/abs/2311.07296
Autor:
Praveen, R. Gnana, Alam, Jahangir
Speaker verification has been widely explored using speech signals, which has shown significant improvement using deep models. Recently, there has been a surge in exploring faces and voices as they can offer more complementary and comprehensive infor
Externí odkaz:
http://arxiv.org/abs/2309.16569
Publikováno v:
Al Ameen Journal of Medical Sciences, Vol 17, Iss 04, Pp 344-348 (2024)
Background: Active Chronic Otitis Media is a pertinacious disease of the middle ear, capable of causing severe destructive sequelae, with the manifestations of deafness, discharge and a permanent perforation. It is one of the most common childhood di
Externí odkaz:
https://doaj.org/article/6c82c32f08024a9a961ffd4620d03b94
Autor:
Ammathalli Aparna, Praveen R Singh
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 18, Iss 09, Pp 11-16 (2024)
Introduction: Blended learning is a combination of online and face-to-face learning. With the introduction of a competency-based curriculum in India and Early Clinical Exposure (ECE) as a part of it, there is a need for innovative learning methods li
Externí odkaz:
https://doaj.org/article/afb8147ca01545d3aefe4c299a1d214e
In video-based emotion recognition (ER), it is important to effectively leverage the complementary relationship among audio (A) and visual (V) modalities, while retaining the intra-modal characteristics of individual modalities. In this paper, a recu
Externí odkaz:
http://arxiv.org/abs/2304.07958