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Sudip Das is listed as Lead Research Engineer at Valeo Brain | DSW India | AI & Perception Team | Research | Theoretical Statistics | Innovation | Member of Signal Processing Society | Member of British Machine Vision Association at Valeo, a company with 32227 employees, based in Chennai, Tamil Nadu, India. AeroLeads shows a matched LinkedIn profile for Sudip Das.
Sudip Das previously worked as Lead Research Engineer at Valeo and Senior Research Engineer at Valeo. Sudip Das holds Engineer’S Degree, Computer Science, A from Maulana Abul Kalam Azad University Of Technology, West Bengal Formerly Wbut.
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I am deeply immersed in the realm of theoretical statistics, with a particular emphasis on unraveling the intricate mechanisms behind how the human brain comprehends visual scenes. Under the esteemed guidance of Associate Prof. Dr. Ujjwal Bhattacharya from the Indian Statistical Institute, I am privileged to delve into this captivating domain.In my professional journey, I have embarked on a role within the DSW product line of the CDA product group and a member of AI & Perception Team at Valeo in India . One of the key aspects of my role is to bridge the gap between research and production, ensuring that the latest developments in machine learning are effectively implemented in real-world applications.During my tenure at the Indian Statistical Institute, I have had the privilege of contributing to multiple noteworthy publications in esteemed conferences and journals. My research endeavors primarily revolve around crafting sophisticated algorithms for machine learning, with a laser focus on the intricate task of detecting and recognizing activities within images or videos. Specifically, my efforts are concentrated on tackling pertinent challenges such as Unsupervised Learning, Curriculum Learning, Transfer Learning, and Domain Adaptation.However, beyond the technical intricacies lies a profound passion for delving into the realm of Visual Scene Understanding (VSU). I am deeply fascinated by the opportunity to apply machine learning methodologies to decipher how the human brain perceives and comprehends visual stimuli. This interdisciplinary pursuit not only fuels technological advancement but also enriches our understanding of the complex workings of cognition.•Specialties: Research targeted topics, project design and management, code completion, performance evaluation and tuning, writing scientific papers.•Abilities: Excellent problem solving, Abstract thinking, Quick learning ability, and Building research team.Additionally, In various research projects, I maintain strong collaboration with academia and parallelly leading a group of Computer Vision at Indian Statistical Institute, Kolkata. I jointly supervised students with Prof. Ujjwal Bhattacharya, Indian Statistical Institute, kolkata in the area of Computer Vision and Deep Learning. We are always looking for self motivated students to join our Vision Group.
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Chennai, Tamil Nadu, India
I help Valeo in achieving their goals in computer vision and deep learning by bridging the gap between business objectives and research needs. My focus is on developing deep learning-based algorithms for the features of automotive parking and driving perceptions. As part of a multidisciplinary research team, I tackle some of the most pressing challenges in.
Chennai, Tamil Nadu, India
I joined DSW product line of Comfort and Driving Assistant(CDA) product group, and a member of AI & Perception Team at Valeo in India. My role revolves around assimilating cutting-edge technology into our operations to ignite the software product line. One of the key aspects of my role is to bridge the gap between research and production, ensuring that the.
Chennai, Tamil Nadu, India
My principal research focuses on Document Image Analysis and OCR. Generally speaking, I am passionate to work on extracting the foreground and reconstructing the broken characters from Degraded Document Images for the purpose of making the recognition task better. Additionally, I am working on 'retrieval of textual information' from images, also called as.
Jeddah, Makkah, Saudi Arabia
Worked on Continual Learning
Kolkata Area, India
Currently, I am working at CVPR(Computer Vision and Pattern Recognition) Unit of Indian Statistical Institute, Kolkata on Machine/Statistical/Deep Learning to detect & recognize objects from Images. Area of my preferences include Scene Image Understanding, Unsupervised Adversarial Learning, Domain Adaptation and Transfer Learning. During my tenure, I have.
Kolkata Area, India
ROCRDD: Developed an improved OCR system for degraded Bangla document images. Various modules of this OCR system include (1) an effective preprocessing operation based on a modified Markov Random Field performing (i) foreground text extraction from noisy background, and (ii) enhancing faint parts of degraded texts/characters that would otherwise be wrongly.
Other employees you can reach at valeo.com. View company contacts for 32227 employees →
Angela Rodrigues
Colleague at Valeo
Guarulhos, São Paulo, Brazil, Brazil
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WM
Wellimar Meira/Campinas/Vws/Valeo
Colleague at Valeo
São Paulo, São Paulo, Brazil, Brazil
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JR
Janie Rucker
Colleague at Valeo
Seymour, Indiana, United States, United States
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SR
Soufien Rhimi
Colleague at Valeo
Tunis, Tunisia, Tunisia
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RB
Rivaldy Barboza
Colleague at Valeo
São Paulo, Brazil, Brazil
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EJ
Edson Jose Nunes
Colleague at Valeo
Indaiatuba, São Paulo, Brazil, Brazil
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CW
Christian Wolf
Colleague at Valeo
Ebern, Bavaria, Germany, Germany
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AE
Ahmed El Nady
Colleague at Valeo
Egypt, Egypt
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IE
Ivan Enriquez
Colleague at Valeo
Querétaro, Querétaro, Mexico, Mexico
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PC
Peng Chen
Colleague at Valeo
Xuhui District, Shanghai, China, China
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Quick answers generated from the profile data available on this page.
Sudip Das works for Valeo.
Sudip Das is listed as Lead Research Engineer at Valeo Brain | DSW India | AI & Perception Team | Research | Theoretical Statistics | Innovation | Member of Signal Processing Society | Member of British Machine Vision Association at Valeo.
Sudip Das is based in Chennai, Tamil Nadu, India while working with Valeo.
Sudip Das has worked for Valeo, British Machine Vision Association Andsociety For Pattern Recognition, Ieee Signal Processing Society, Hcl Engineering And R&D Services, and Aviso Ai.
Sudip Das's colleagues at Valeo include Angela Rodrigues, Wellimar Meira/Campinas/Vws/Valeo, Janie Rucker, Soufien Rhimi, and Rivaldy Barboza.
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Sudip Das holds Engineer’S Degree, Computer Science, A from Maulana Abul Kalam Azad University Of Technology, West Bengal Formerly Wbut.
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