Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Hetul Sanghvi"'
Publikováno v:
2022 IEEE Custom Integrated Circuits Conference (CICC).
Publikováno v:
VLSI Design
Census Transform is a commonly used pixel transform technique in Computer Vision (CV) algorithms to provide robustness against illumination variance. Implementing this as a low gate-count and power-efficient HW IP is critical to support CV algorithms
Autor:
Chunhua Hu, Niraj Nandan, Greg Shurtz, Anish Reghunath, Vijay Kanumuri, Anthony J. Lell, Eldad Falik, Anthony M. Hill, Abhinay Armstrong, Sam Visalli, Ali Siddiki, Kai Chirca, Sanjive Agarwala, Brian J. Karguth, Rama Venkatasubramanian, S. Mullinnix, Jason Jones, Don Steiss, Hetul Sanghvi, Lewis Nardini, Wu Daniel, Raghavendra Santhanagopal, Abhijeet Ashok Chachad, Amrit Mundra, Arthur J. Redfern, Manoj Koul, Darnell Moore, Frank Cano, Mihir Mody, Charles Fuoco, Maher Sarraj, Haydar Bilhan, Devanathan Varadarajan, Timothy D. Anderson, Shane Stelmach, Todd Beck, Denis R. Beaudoin
Publikováno v:
ISSCC
The 7th generation Jacinto™ SoC platform is an evolution of prior architectures [1], [2] and integrates new capabilities to support a wide set of applications, including automotive, industrial, and broad market. This drives a diverse set of require
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585822
ECCV (27)
ECCV (27)
Deep neural networks have achieved state-of-the art performance on various computer vision tasks. However, their deployment on resource-constrained devices has been hindered due to their high computational and storage complexity. While various comple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c65961074c43a6f76be634a5a6d13871
https://doi.org/10.1007/978-3-030-58583-9_6
https://doi.org/10.1007/978-3-030-58583-9_6
Autor:
Gang Hua, Mayank Magla, Shashank Dabral, Raja Shekhar Allu, Hetul Sanghvi, Mihir Mody, Kedar Chitnis, Brijesh Jadhav, Niraj Nandan
Publikováno v:
2019 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT).
Image processing technology enables capturing high quality images and video from raw image sensors. Recently, the advent of Advanced Driver Assistance Systems (ADAS) present new challenges on image processing due to their requirement of concurrent vi
Autor:
Shashank Dabral, Gang Hua, Brijesh Jadav, Mihir Mody, Jason Jones, Rajshekar Allu, Niraj Nandan, Hetul Sanghvi, Sujith Shivalingappa
Publikováno v:
2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia).
Perspective transform (or Homography) is commonly used in image and computer vision processing, which typically solved using a back mapping algorithm. It is used in multiple use-cases e.g. view point change, fish-eye lens distortion correction, chrom
Publikováno v:
ICCE
Wide Dynamic Range (WDR) enables capturing images with extreme light variations within them. Typically, image sensor manufactures enable WDR using their proprietary techniques consisting of actual physical capture method as well as transmission forma
Autor:
Ghone Chaitanya, Hetul Sanghvi, Naresh Kumar Yadav, Mihir Mody, Dipan Kumar Mandal, Mahesh Mehendale, Niraj Nandan, Piyali Goswami
Publikováno v:
ICCE
Video coding standards (e.g. H.264, HEVC) use slice, consisting of a header and payload video data, as an independent coding unit for low latency encode-decode and better transmission error resiliency. In typical video streams, decoding the slice hea
Publikováno v:
ISSPIT
Transformation and quantization in block based video codecs introduces blocking artifacts at edges. Special optimized video filter called de-blocking filter is applied on 4×4/8×8 block boundary to enhance visual quality and improve prediction effic
Autor:
Subrangshu Das, Hetul Sanghvi, Rahul Gulati, Prashant Karandikar, Niraj Nandan, Mihir Mody, Prithvi Shankar Y A, Vasant Easwaran
Publikováno v:
ICACCI