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I am a Ph.D student at the GrUVi Lab of School of Computer Science at Simon Fraser University, under the supervision of Prof. Hao (Richard) Zhang. Prior to that, I spent couple of years working in industry where I was mainly involved in development of computer vision and machine learning solutions for fire safety and security products. I completed my master's from Indian Institute of Technology, Gandhinagar, India where I did my thesis under the supervision of Prof. Shanmuganathan Raman. I received my bachelor's degree in Electronics and Communications Engineering from Birla Vishwakarma Mahavidyalaya, India. Email / Google Scholar / LinkedIn / GitHub / Twitter |
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My research interests are in 3D Computer Vision and Graphics, Geometry Processing and Deep Learning. |
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We present a volume rendering-based neural surface reconstruction method that takes as few as three disparate RGB images as input. Our key idea is to regularize the reconstruction, which is severely ill-posed and leaving significant gaps between the sparse views, by learning a set of neural templates to act as surface priors. |
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We present a robut deep architecture for Appearance Consistent person image generation in novel poses. We incorporate a 3 stream network, for image, pose, and appearance. Additionaly we use Gated convolutions and, Non-local attention blocks for generating realistic images. |
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We propose a completely unsupervised algorithm for the same, where we try to exploit the structural differences between the foreground and the background region in an image in order to localize the object in the scene. |
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We propose an fully automatic video object segmentation algorithm where localization of object segments are obtained by performing clustering on proposals generated by a segmentation proposal network. Later, the overall temporal consistency is improved using a track and fill method. |
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A fully convolutional single stage head detector is proposed where the anchor scales are designed by taking effective receptive field into account, hence giving better average precision especially for small heads in crowded scenes. |
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Rajkumar Palanivel, Amit Kulkarni, Douglas Beaudet, Manjuprakash Rama Rao, Atul Laxman Katole, Aditya Vora, "System and Method for identifying blockages of emergency exits in a building.", US Patent 11388775, 2021 |
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TA - CMPT 985: Neural Fields by Prof. Andrea Tagliasacchi SFU [Summer, 2023] TA - CMPT 361: Introduction to Visual Computing by Prof. Jason Peng SFU [Spring, 2023] |
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Reviewer CVPR 2024 |
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Layout inspired by Jon Barron . Thank you Jon. © 2020 |