Adithya Sai Lenka
I have completed my B. Tech (Hons.) in Computer Science and Engineering at SASTRA University, Thanjavur. During the course of my program, I developed a keen interest in Computer Vision and Deep Learning. At RBCDSAI, I am …
Computer Vision
SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video
Light-field imaging is appealing to the mobile devices market because of its capability for intuitive post-capture processing. Acquiring light field (LF) data with high angular, spatial and temporal resolution poses …
Corrective Filter Based on Kinematics of Human Hand for Pose Estimation
Depth-based 3D hand trackers are expected to estimate highly accurate poses of the human hand given the image. One of the critical problems in tracking the hand pose is the generation of realistic predictions. This paper …
Efficient Video Classification Using Fewer Frames
Recently, there has been a lot of interest in building compact models for video classification which have a small memory footprint (<1 GB). While these models are compact, they typically operate by repeated …
Rahul Vashisht
I am currently pursuing PhD at Department of Computer Science and Engineering under the guidance of Harish G. Ramaswamy. My topic of research is theoretical deep learning.
Studying the plasticity in deep convolutional neural networks using random pruning
Pack and Detect
Object detection in videos is an important task in computer vision for various applications such as object tracking, video summarization and video search. Although great progress has been made in improving the accuracy …