Deeptej More Email & Phone Number

Sunnyvale, CA, US

Evanston, Illinois, United States

• Working under Prof. Lee A. Cooper on Machine Learning for histopathological data.

Baltimore, Maryland, United States

• Working under Prof. Alan Yuille on Hyperbolic Deep Learning in Computer Vision at the CCVL lab.

Mumbai, Maharashtra, India

• Employed unsupervised learning methods (SCAN, SimCLR, Recall@k surrogate losses, Representation Learning, Style Transform) for vehicle re-identification.
• Conducted Quantization Aware Training and Finetuning. The quantized models exhibited competitive performance compared to the original models, with a mAP score of 0.86, a Rank-1 accuracy of 0.91, and a Rank-5 accuracy.
• Developed DAFOSNET, a meta-learning based framework recognizing unknown samples from novel classes in… Show more
• Developed DAFOSNET, a meta-learning based framework recognizing unknown samples from novel classes in target query sets and handling visual shifts between domains, as well as identifying target outliers under domain.

• Worked under the guidance of Prof. Biplab Banerjee to implement and analyze state-of-the-art Few-shot super-resolution methods such as Meta-SR, MLSR, and DMCN using PyTorch and Tensorflow on remote sensing data.
• Involved in development of MAML-SR, a novel meta-learning based GAN for super resolution that outperforms the current state-of-the-art models by 6.5%.

Hyderabad, Telangana, India

• Worked under the guidance of Prof. Sumeet Kumar on identifying hidden product placements in YouTube Kids videos using Few Shot Learning.
• Created modular image pre-processing pipelines and implemented deep learning models such as Matching networks, Prototypical networks, MAML, and S2M2 to create benchmarks for product placement.
• Achieved an accuracy of 83.67% using S2M2 on the novel product placement dataset, the highest known result to date.

Remote

• Worked on writing ROS middleware for Non-ROS robots.

Udupi, Karnataka, India

• Led a team of 15 multidisciplinary engineers to build autonomous multirotor UAVs.
• Oversaw all aspects of UAV production from manufacturing to testing, including coordinating with manufacturing teams, reviewing and approving plans and designs, monitoring quality, analyzing test results, and managing.
• Applied deep learning based object detection models (YOLOv3, YOLOv5), classification models (VGG16, InceptionV3), segmentation models (UNets), as well as… Show more
• Applied deep learning based object detection models (YOLOv3, YOLOv5), classification models (VGG16, InceptionV3), segmentation models (UNets), as well as custom architectures, to perform various autonomous tasks on the.
• Implemented feature-detector algorithms such as FAST, SURF, and ORB to detect stable points on the tracked object with respect to the UAV.
• During my tenure as the subsystem head, the subsystem secured a world of rank 4 in the IEEE UAV challenge.

Manipal

• Worked on various Multirotor UAV and VTOL projects.
• Worked with Robot Operating System (ROS) for working with aerial robots.
• Worked on making custom Convolutional Neural Networks for object detection tasks.
• Worked on quadcopter dynamics and control systems.
• Worked on interfacing different F4 and F7 based flight controllers and various microcontrollers like NVIDIA Jetson TX-2, Jetson Nano, Raspberry pi-3, Intel Movidius NCS with sensors and actuators.
• 2nd place in… Show more

Udupi, Karnataka, India

• My work involved mentoring the juniors, giving out software development projects and keeping track of the progress on the projects.
• I primarily worked in the domains of Web development, Machine Learning, and Deep learning inside IOSD.

Manipal

Manipal

• Webx Studios is on the mission to empower businesses for their IT needs.

Master Of Science - Ms, Artificial Intelligence, 4.0

Bachelor Of Technology - Btech, Mechatronics, Robotics, And Automation Engineering

Activities and Societies: IOSD Manipal, IE Mechatronics AI Committee