Abhinav Patel Email and Phone Number

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Worked on storage and business services of Acrobat application.

Worked with Media and Data Science Research Team. Developed mitigation strategies against two biases in existing one-shot segementation methods. The work got accepted in NeurIPS 2021.

Worked on Few-Shot Image Segmentation as part of the Media and Data Science Research Team. Developed end-to-end deep learning based system to address broadly two main problems - 1) issue with the training images having test class objects; 2) inability of networks to attend to non-salient objects and reported results on public datasets Pascal-5i and COCO-20i improving upon SOTA methods by ~2% (in mIoU). The work got accepted in Adobe Tech Summit 2021 - a biyearly internal conference held across Adobe.

Gesture Detection and Recognition in TV News VideosAim of the project was to develop an automated system to detect the presence of hand gestures, segment them temporally and further classifiy the detected hand gestures. Worked on NewsScape Dataset - Red Hen Lab's news video dataset. Also, used singularity container for code deployment on high performance clusters.

Generic HBase Plug-in Implementation- Worked as a part of Global API Platform of Data Product Development Team- Developed Java API wrapper over HBase Native API (HBase is a Database on Hadoop Distributed File System)- Integrated this HBase Plugin Microservice with the Global API PlatformGot exposure of HBase architecture and working of HBase Native API

Single-Image based Rain and Haze Detection and RemovalWorked under - Dr. Sanjeev Kumar (Assistant Professor – Department of Mathematics, IIT Roorkee). Proposed a method for removal of rain and haze from images captured in bad weather conditions (rain, haze, fog etc). The method is a combination of CNN model and Dark Channel Prior technique for removing rain and haze respectively.