Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Deepti Ghadiyaram"'
Publikováno v:
Empirical Studies of the Arts. 41:157-187
Conceptual information is central to the field of artistic photography. Nonetheless, there are very few studies on the matter. Therefore, we investigated whether artist's conceptual titles affected viewers’ interest in artistic photographs. Experim
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197741
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c122ed24194bd89cae3a7b1d324d54cf
https://doi.org/10.1007/978-3-031-19775-8_16
https://doi.org/10.1007/978-3-031-19775-8_16
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198359
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d60dd76185d1d58873e5c6b63592d40
https://doi.org/10.1007/978-3-031-19836-6_19
https://doi.org/10.1007/978-3-031-19836-6_19
Publikováno v:
CVPR
No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and important problem for social and streaming media applications. Efficient and accurate video quality predictors are needed to monitor and guide the processing of b
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 29:183-197
Over-the-top mobile adaptive video streaming is invariably influenced by volatile network conditions, which can cause playback interruptions (stalling or rebuffering events) and bitrate fluctuations, thereby impairing users’ quality of experience (
Publikováno v:
CVPR
Pre-training convolutional neural networks with weakly-supervised and self-supervised strategies is becoming increasingly popular for several computer vision tasks. However, due to the lack of strong discriminative signals, these learned representati
Autor:
Krishna Kumar Singh, Matt Feiszli, Kristen Grauman, Yong Jae Lee, Dhruv Mahajan, Deepti Ghadiyaram
Publikováno v:
CVPR
Existing models often leverage co-occurrences between objects and their context to improve recognition accuracy. However, strongly relying on context risks a model's generalizability, especially when typical co-occurrence patterns are absent. This wo
Autor:
Xavier Giro-i-Nieto, Shruti Palaskar, Deepti Ghadiyaram, Kenneth DeHaan, Amanda Duarte, Lucas Ventura, Jordi Torres, Florian Metze
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
CVPR
Universitat Politècnica de Catalunya (UPC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
CVPR
Trabajo presentado en la IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), celebrada de forma virtual del 19 al 25 de junio de 2021
One of the factors that have hindered progress in the areas of sign language recognition, tr
One of the factors that have hindered progress in the areas of sign language recognition, tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b8f11f0f1f12b91b5cc9293c6c8c458
Publikováno v:
IEEE Transactions on Image Processing. 27:2257-2271
Over-the-top adaptive video streaming services are frequently impacted by fluctuating network conditions that can lead to rebuffering events (stalling events) and sudden bitrate changes. These events visually impact video consumers' quality of experi
Publikováno v:
IEEE Signal Processing Magazine. 34:130-141
Convolutional neural networks (CNNs) have been shown to deliver standout performance on a wide variety of visual information processing applications. However, this rapidly developing technology has only recently been applied with systematic energy to