Krishnendu Chaudhury

From Bharatpedia, an open encyclopedia

Krishnendu Chaudhury is an American Technology leader (deep learning, computer vision), inventor, and author.[1][2] He is the co-founder of Drishti Technologies in Palo Alto, CA. Currently, he is serving as the Chief Technology officer (CTO) of the company. Chaudhury is also the author of the book Mathematics and Architectures of Deep Learning. He has 34 patents [3] to his name and several publications in the field of computer vision and deep learning.[4] Over the course of his career, he has worked at Adobe Systems, Google, and Flipkart.[1][2]

File:Krish DrishtiShirt.jpg
Profile picture of Krishnendu

Early life and education[edit]

Chaudhury was born on 13 November 1964 in India to Dr. Sujit and Gauri Chaudhury. Chaudhury attended IIT Kharagpur for a short period, but his father was a professor at Calcutta Medical College and wanted him to pursue medicine, so he enrolled there. However, he had no interest in studying medicine and dropped out, joining Jadavpur University for his Bachelor’s degree in electronics and telecommunication. In 1994, he completed his Ph.D. in computer science in computer vision and image processing from the University of Kentucky, Lexington.[5]

Career[edit]

Adobe Systems[edit]

In 1995, after graduating from University of Kentucky,, Chaudhury started working for Adobe Systems as a Senior computer scientist. He worked with Adobe for ten years working on Advanced Technology Group and Postscript Core Technology, working in different locations, including San Francisco and San Jose.[1][2]

Google[edit]

In 2005, he joined hands with Google.[1][2] He worked on Image Processing and Computer Vision projects at Google. He worked on several projects that revolved around machine learning and computer vision, including Google’s newspaper search feature, which was launched in 2008 on Google’s 10th birthday. The product allows readers to go through newspaper archives from hundreds of newspapers and thousands of issues from the 1800s and early 1900s.[6] Chaudhury also managed Google’s own version of image compression called “WebP,” which was launched in October 2010. He also worked on the auto-rectification of photos at Google Photos, devising a complex mathematical way to restore parallelism of lines inside an image. He also worked on an early version of a face recognition-based login for Android.[7] After 10 years of service, he left Google and joined Flipkart.

Flipkart[edit]

In 2015, Chaudhury joined Flipkart as a Principal Scientist and Head of Image Sciences, handling projects related to Computer Vision and Deep Learning.[8] He worked on deep learning in the e-commerce visual search and recommendation systems. Chaudhury worked closely with the head of Engineering, Peeyush Ranjan, and led the computer vision and image processing technology team across Flipkart's platforms.[8] His team led the first visual recommendation engine, which would recommend visually similar products. His notable works for Flipkart include the following:[8] Deep Learning based Visually Similar recommendations for Flipkart: A new Convolutional Neural Net (CNN) architecture for visual feature embeddings. Region CNN-based e-commerce product localization on wild images: Identifying Flipkart apparel similar to the ones worn by models/celebrities/friends in wild images.Visual Semantic Embeddings for e-commerce Products: Identifying product embeddings. Neural Network Retail Modeling: in progress.

Drishti Technologies[edit]

In 2017, he co-founded Drishti Technologies in Palo Alto, CA, with Prasad Akella and serial entrepreneur Ashish Gupta.[1] Drishti Technologies works on AI-powered video analytics and video traceability and provides visibility and insights that transform the pace and impact of manual assembly line improvement.[9] Drishti is a Silicon Valley AI startup that brings Artificial Intelligence and computer vision to manufacturing factory floors. Drishti has been funded by marquee VCs, including Andreessen Horowitz, Emergence Capital, and Benhamou Global Ventures.[10] Chaudhury is also on the Technical Advisory Committee of Benhamou Global Ventures since 2017. He is currently holding the position of CTO at Drishti Technologies, working on Applying Deep Learning and Computer Vision to expand it to new areas.[2]

Selected Publications[edit]

Following is a list of selected publications by Krishnendu Chaudhury:[4]

  • "Applications of Deep Learning in e-Commerce," Krishnendu Chaudhury, GPU Technology Conference, GTC 2018, March 26–29, 2018, Silicon Valley, California.
  • "ARMDN: Associative and Recurrent Mixture Density Networks for e-Retail Demand Forecasting," S. Mukherjee, D. Shankar, A. Ghosh, N. Tathwadekar, P. Kompalli, S. Sarawagi, Krishnendu Cahudhury [11]
  • "Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce," D. Shankar, Sujay S., Ananya H., Krishnendu Chaudhury[6]
  • "Pose Estimation in Automated Visual Inspection using Genetic Algorithms," S. Hati, K. Chadhury, et al., International Journal of Neural Systems, Aug 1, 2006.
  • "Auto-Rectification of User Photos," Krishnendu Chaudhury, Stephen DiVerdi, Sergey Ioffe, proc. of IEEE International Conference on Image Processing, ICIP 2014, Oct 27-30, 2014, Paris.
  • “Google Newspaper Search – Image Processing and Analysis Pipeline,” Krishnendu Chaudhury et al., 10th International Conference on Document Analysis and Recognition, ICDAR 2009, July 26 – 29, Barcelona, Spain.[6]
  • "Detecting 3D Motion Field from Range Image Sequence", Krishnendu Chaudhury, R. Mehrotra, Cid Srinivasan, IEEE Transactions on Systems, Man, and Cybernetics journal, vol. 29, No. 2, April 1999 (Detecting3DMotionFieldFromRangeImageSequence.pdf).
  • "A Trajectory-based Computational Model for Optical Flow Computation," Krishnendu Chaudhury, R. Mehrotra, IEEE Transactions on Robotics and Automation journal, pp. 733–741, vol. 11, No. 5, Oct 1995
  • "Optical Flow Estimation using Smoothness of Intensity Trajectories," Krishnendu Chaudhury, R. Mehrotra, CVGIP: Image Understanding journal, pp. 230–244, vol. 60, No. 2, September 1994.[7]
  • "Detecting 3D Flow", Krishnendu Chaudhury, R. Mehrotra, International Conference on Robotics and Automation, San Diego, California, May 8–13, 1994.
  • Optical Flow from an Extended Frame Sequence, Krishnendu Chaudhury, R. Mehrotra, International Conference on Robotics and Automation, Atlanta, Georgia, May 2–7, 1993.
  • A Parallel Algorithm for 3D Point Pattern Matching, Krishnendu Chaudhury, R. Mehrotra, IEEE International Conference on Systems, Man and Cybernetics, Charlottesville, Virginia, Oct. 13-16 1991.
  • Loss and Gain of Optical Couplers with Collision Detection for CSMA/CD based LANs, A. Das, Krishnendu Chaudhury, IEEE International Conference on Communication Systems, ICCS-89, Singapore, Oct. 12-16, 1989

Selected Patents[edit]

  • Chaudhury has more than 34 patents to his name in the field of computer vision and deep learning.[3]
  • "Almost Unsupervised Cycle and Action Detection," K. Chaudhury, A.Ashok, S. Narumanchi, D. Shankar, A. Mehra, Drishti Technologies, US Patent 20210216777
  • "Deep Learning Cycle Detection from the video," K. Chaudhury, A.Ashok, S. Narumanchi, D. Shankar, Drishti Technologies, R. Jain, DRIL-P0013, US Patent 20210117684
  • "Traceability Systems and Methods," P.Akella, K. Chaudhury, A.Ashok, S. Narumanchi, D. Shankar, Drishti Technologies, US Patent 10890898B2
  • "Automatic Rectification of Distortions in images," Krishnendu Chaudhury, Stephen Diverdi, US Patent 9064309.
  • "Edge Aware Smoothing in Images," US Patent US8983188, Grayson Lang, Krishnendu Chaudhury
  • "Session Based Character Recognition for Document Reconstruction," D. Petrou, Krishnendu Chaudhury, S. Goschin, M. Bridges, US Patent 9424668.
  • "Liveness Detection in Face Recognition-based Authentication Systems," Krishnendu Chaudhury, Avani Devarasetty, U.S Patent US8856541.
  • “Automatic extraction of character ground truth data from images,” Alessandro Bissacco, Krishnendu Chaudhury, U. S. Patent 8755595.
  • "Systems and Methods for Line Balancing," P.Akella, K. Chaudhury, et al., US Patent 11054811
  • "Handheld or Wearable Document Scanner for Google," Krishnendu Chaudhury, Lu Chen, David Petrou, Blaise Aguerra, US Patent 9852348.
  • "Segmenting Printed Media Pages into Articles," Krishnendu Chaudhury, A. Jain & S. Thirthala, U.S Patent 8290268, Google
  • "Identifying a Front Page in Media Material," Krishnendu Chaudhury et al., U.S Patent 8218913, Google
  • "Method and Apparatus for Enhancing Object Boundary Precision in Images," Krishnendu Chaudhury, Ashutosh Kulshreshtha, U.S patent 07813582, Google.
  • “Digital Image Archiving in Mobile Device System,” Krishnendu Chaudhury, Ashutosh Garg, Arvind Saraf, Prasenjit Phukan, U.S Patent 7986843, Google.
  • "Complexity Based Adaptive Tiling for Transparency Flattener," Krish Chaudhury, Dejan Markovic, U.S Patent 7385727, Adobe Systems.
  • “A Cubic B Spline Intensity Re-sampling Based Method for Automatic Image Feature Embedding,” Krish Chaudhury, Dejan Markovic, U.S. Patent 7734118, Adobe Systems.
  • “Scaling of Raster Images without Edge Blurring,” Krish Chaudhury, Dejan Markovic, U.S. Patent 7817871, Adobe Systems.
  • "Author Signature for Legal Purposes," Jim Pravetz, Krish Chaudhury, Sunil Agrawal, U.S. Patent 7774608, Adobe Systems).
  • "Document Modification Detection and Prevention," Krish Chaudhury, Jim Pravetz, Sunil Agrawal, U.S. Patent 7735144, Adobe Systems.
  • "Document Digest Allowing Selective Changes to a PDF Document," Krish Chaudhury, Jim Pravetz, International Patent, Adobe Systems, PCT/US2004/015116).
  • "Dynamic Enabling of Functionality in Electronic Document Readers," Krish Chaudhury, Jim Pravetz, U.S. Patent 7278168, Adobe Systems.

Books[edit]

In 2020, Chaudhury authored Math and Architectures for Deep Learning which was published by Manning Publications, New York. [12]The book demonstrates the mathematical examples of deep learning and narrows the gap between Math and Architectures of Deep Learning, defining both theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch.

Awards and Recognition[edit]

Chaudhury has been awarded the following recognitions over the course of his career. [13][14]

  • 2022: Robotics and Automation Innovation and Entrepreneurship (IERA) Award
  • 2022: California’s Top 101 CTOs

References[edit]

  1. ↑ 1.0 1.1 1.2 1.3 1.4 Cai, Kenrick. "AI Manufacturing Startup Drishti Raises $25 Million To Go Global With Its Factory Floor Analytics". Forbes. Retrieved 2023-08-29.
  2. ↑ 2.0 2.1 2.2 2.3 2.4 Feldman, Amy. "How This Manufacturing-Automation Startup Signed Up Auto-Parts Giant Denso For Tech That Helps Humans Work Smarter". Forbes. Retrieved 2023-08-29.
  3. ↑ 3.0 3.1 "CHAUDHURY; Krishnendu Patent Filings". uspto.report. Retrieved 2023-08-29.
  4. ↑ 4.0 4.1 "Krishnendu Chaudhury". scholar.google.com. Retrieved 2023-08-29.
  5. ↑ "Minutes of the University of Kentucky Board of Trustees, 1994-04-may3". exploreuk.uky.edu. Retrieved 2023-08-29.
  6. ↑ 6.0 6.1 6.2 Chaudhury, Krishnendu; Jain, Ankur; Thirthala, Sriram; Sahasranaman, Vivek; Saxena, Shobhit; Mahalingam, Selvam (July 2009). "Google Newspaper Search – Image Processing and Analysis Pipeline". 2009 10th International Conference on Document Analysis and Recognition. pp. 621–625. doi:10.1109/ICDAR.2009.272. ISBN 978-1-4244-4500-4. S2CID 12254112.
  7. ↑ 7.0 7.1 Chaudhury, K.; Mehrotra, R. (1994-09-01). "Optical Flow Estimation Using Smoothness of Intensity Trajectories". CVGIP: Image Understanding. 60 (2): 230–244. doi:10.1006/ciun.1994.1049. ISSN 1049-9660.
  8. ↑ 8.0 8.1 8.2 "Flipkart hires Krishnendu Chaudhury to head Image Sciences". The Times of India. 2015-07-23. ISSN 0971-8257. Retrieved 2023-08-29.
  9. ↑ "Tech from Drishti's Bengaluru R&D team aiding firms close a 100-year-old data gap in manufacturing". The Times of India. 2021-09-28. ISSN 0971-8257. Retrieved 2023-08-29.
  10. ↑ "History". Drishti. Retrieved 2023-08-30.
  11. ↑ Mukherjee, Srayanta; Shankar, Devashish; Ghosh, Atin; Tathawadekar, Nilam; Kompalli, Pramod; Sarawagi, Sunita; Chaudhury, Krishnendu (March 16, 2018). "ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting". arXiv:1803.03800 [cs.LG].
  12. ↑ Chaudhury, Krishnendu (2023-10-17). Math and Architectures of Deep Learning. Manning. ISBN 978-1-61729-648-2.
  13. ↑ Smith, Mark (2022-06-02). "Meet California's 101 Top CTO's in the Machine Learning Space". BestStartup.us. Retrieved 2023-08-30.
  14. ↑ https://invision-news.de/invision/drishti-gewinnt-iera-robotics-award-2022/?utm_content=214737722&utm_medium=social&utm_source=linkedin&hss_channel=lcp-18389336

External links[edit]

  1. ↑ Devashish, Shankar; Sujay, Narumanchi; A, Ananya, H; Pramod, Kompalli; Krishnendu, Chaudhury (2017-03-07). "Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce". arXiv:1703.02344 [cs.CV].{{cite arXiv}}: CS1 maint: multiple names: authors list (link)
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