Deep Chakraborty Email and Phone Number
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I am a Ph.D. student in Computer Science at UMass Amherst specializing in Deep Learning and Computer Vision, with publications in top tier conferences such as ECCV, CVPR and INTERSPEECH. I am currently working on improving object detection using unsupervised/self-supervised learning in images/video. Previously, I have worked on projects like improving pedestrian detection in thermal images using saliency maps and improving object detection in images using unsupervised hard negative mining from videos. I have also worked on deep learning for speech in projects such as emotion recognition and emotion conversion using generative adversarial networks. In the past, I have worked on deep learning approaches for semantic segmentation in images, face detection/verification algorithms, speaker identification and speech processing, and embedded computer vision for robotics. My aim is to enable intelligent reasoning in machines through high level understanding from images, audio and video, enabling a true Artificial General Intelligence.
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Graduate Research AssistantUniversity Of Massachusetts AmherstAmherst, Ma, Us
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Graduate Research AssistantUniversity Of Massachusetts Amherst Jan 2018 - PresentAmherst, Massachusetts, UsWorked at the Remote Hyperspectral Observers (RHO) group under the supervision of Dr. Mario Parente on self-supervised learning and image processing for geologic categorization from Mars Science Laboratory (Curiosity) images. (Published in Earthvision workshop, CVPR 2022)Worked at the Computer Vision Lab under Dr. Erik Learned-Miller. • Worked on unsupervised motion segmentation, tracking and representation learning.• Designed an End-to-End framework for improving object detection for arbitrary categories using Unsupervised Hard Negative Mining (Published in ECCV 2018).Worked at the Information Fusion Lab with Dr. Madalina Fiterau on Improving Pedestrian Detection in Thermal Images using Deep Saliency maps (Published in PBVS workshop, CVPR 2019).
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Graduate Teaching AssistantUniversity Of Massachusetts Amherst Sep 2019 - PresentAmherst, Massachusetts, UsI TA-ed Machine Learning courses at all levels CMPSCI-389/589/689, and undergrad level Artificial Intelligence course CMPSCI-383.
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Machine Learning Research InternApple Jun 2021 - Sep 2021Cupertino, California, UsResearcher in Scene Understanding and Reasoning team at the Video Computer Vision group, working on Neural Architecture Search. -
Computer Vision Research InternApple Jun 2020 - Sep 2020Cupertino, California, UsResearcher in Scene Understanding and Reasoning team at the Video Computer Vision group, working on scene graph generation and object detection.
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Deep Learning Research InternPhilips Lighting May 2018 - Aug 2018Eindhoven, Noord Brabant, Nl• Non-Parallel Emotion Conversion in Speech using Disentangled Representation of Emotion specific and emotion invariant content using Generative Adversarial Networks, Auto-encoders and Style Transfer Techniques, with Python and Tensorflow (Published in INTERSPEECH 2019).• Realtime Automatic Emotion Recognition from Speech and Audio Event Detection using Bidirectional Recurrent Neural Networks with Attention and Convolutional Neural Networks.• Philips sensor segmentation from Google StreetView Images to generate product insights, using Python and Keras framework. -
Engineer ISeagate Technology Jul 2016 - Jul 2017Fremont, Ca, UsI was part of the Product Quality Enhancement team for RealStor storage solutions in the Cloud Systems and Silicon Group (CSSG) of Seagate. My responsibilities included:• Triaging system logs from data unavailability/ loss cases reported from HPE MSA storage arrays (RealStor OEM) deployed around the globe and filing and managing bugs in product firmware, if any. • Providing feedback directly to the L1/L2/L3 teams on customer support performance, suggesting improvements in technical know-how if required.I developed expertise in the areas of RAID, Cache, Paged Storage, Host Connectivity (FC/iSCSI/SAS) and Storage Area Network (SAN) configuration. -
Undergraduate Research AssistantIit Mandi Aug 2015 - Jun 2016Mandi, Himachal Pradesh, In• Research on a speech classification problem titled "Bird Call Identification", better known as birdsong recognition using Deep Learning, dynamic kernel Support Vector Machines and Gaussian Mixture Models, using Tensorflow, MATLAB and SVMTorch.• Published at International Conference on Machine Learning Applications 2016. -
Summer InternIit Mandi May 2015 - Jul 2015Mandi, Himachal Pradesh, InI worked on kernel methods for pattern analysis and modified SVMTorch, (C++ library for support vector machines) to directly train using user defined kernel gram matrices.
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Summer InternIndian Institute Of Information Technology, Allahabad, India May 2014 - Jul 2014Allahabad, Uttar Pradesh, InWorked at Robotics and AI Lab. Developed a Semi-humanoid robot called SMART (Social Mobile Autonomous Robot Testbed) based on subsumption architecture which would find its way around the lab and demonstrate its features to visitors. Responsibilities included:• Writing OpenCV code in C++ API to allow deployment on embedded hardware• Writing real time navigation and obstacle detection/avoidance algorithms• Deploying the software on a single board embedded Linux computer
Deep Chakraborty Skills
Deep Chakraborty Education Details
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University Of Massachusetts AmherstComputer Science -
University Of Massachusetts AmherstComputer Science
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Manipal Institute Of TechnologyElectronics And Communications Engineering
Frequently Asked Questions about Deep Chakraborty
What company does Deep Chakraborty work for?
Deep Chakraborty works for University Of Massachusetts Amherst
What is Deep Chakraborty's role at the current company?
Deep Chakraborty's current role is Graduate Research Assistant.
What is Deep Chakraborty's email address?
Deep Chakraborty's email address is de****@****ate.com
What is Deep Chakraborty's direct phone number?
Deep Chakraborty's direct phone number is +185720*****
What schools did Deep Chakraborty attend?
Deep Chakraborty attended University Of Massachusetts Amherst, University Of Massachusetts Amherst, Manipal Institute Of Technology.
What are some of Deep Chakraborty's interests?
Deep Chakraborty has interest in Robotics, Machine Learning, Embedded Systems, Computer Vision.
What skills is Deep Chakraborty known for?
Deep Chakraborty has skills like C++, Matlab, C, Machine Learning, Python, Embedded Systems, Linux, Microcontrollers, Opencv, Computer Vision, Robotics, Latex.
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