Satya Krishna Gorti

MSc. in Applied Computing

satyag [at] cs [dot] toronto [dot] edu

Brief Bio

I graduated with MSc. in Applied Computing from University of Toronto. My main interests lie in the area of Machine Learning, Deep Learning and Computer Vision. I am currently a Machine Learning Research Scientist at Layer6 AI where I work on local and global methods for large-scale image retrieval. Previous to this, I was a Research Intern at Uber ATG working on multi-object tracking using LIDAR and RADAR sensors for self-driving vehicles.

Courses taken at University of Toronto

Research

  • Cross-Class Relevance Learning for Information Fusion in Temporal Concept Localization
    We present a framework for temporal concept localization and hold state-of-the-art results on Youtube-8M dataset.
    The 3rd Workshop on YouTube-8M Large-Scale Video Understanding - ICCV 2019
    [paper][workshop]
  • Guided Similarity Separation for Image Retrieval
    We propose a graph convolutional network to directly encode neighbour information into image descriptors for image retrieval. We further leverage ideas from clustering and manifold learning, and introduce an unsupervised loss based on pairwise separation of image similarities.
    NeurIPS 2019
    [paper]
  • Semi-Supervised Traversal in Image Retrieval
    A novel semi-supervised graph traversal extention to Explore-Exploit Graph Traversal (EGT) for image retrieval.
    CVPR 2019 Landmark Recognition Workshop
    [arXiv]
  • Online algorithm for adaptive learning rate
    Online algorithm for learning the learning rate in stochastic gradient descent using first order and second order approximation methods and studying its effects on convex and non-convex machine learning problems.
    [arXiv][GitHub]
  • Text-to-Image-to-Text translation using cycle consistent adversarial networks
    Improving text to image synthesis using cycle consistency.
    [arXiv][GitHub]
    Ground Truth Caption Generated Image Generated Caption
    the flower has long yellow petals that are thin and a yellow stamen this flower has petals that are yellow and very thin
    there are many long and narrow floppy pink petals surrounding many red stamen and a green stigma on this flower this flower has petals that are red with pointed tips
  • ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs
    A comparative study on gradient estimators for sequence generation using GANs
    [arXiv][GitHub]

Presentations

  • Review of GANs for Sequences of Discrete Elements with Gumbel-Softmax Distribution
  • [Slides]

Previous Work Experience

I have worked as a software engineer for over a year at Morgan Stanley and VoterCircle. You can find my full resume here.