Thesis: Learning Representations for Word Images

Thesis: Recognizing People in Image and Videos

Thesis: Geometry-aware methods for efficient and accurate 3D reconstruction

Thesis: Anatomical Structure Segmentation in Retinal Images with Some Applications in Disease Detection

Thesis: Computational Displays

 This email address is being protected from spambots. You need JavaScript enabled to view it.

Thesis: Recognition and Retrieval from Document Image Collections

Thesis: 

Thesis: Automatic Reginal Image Analysis for the Detection of Glaucoma

Thesis: Aligning Textual & Visual Data : Towards Scalable Multimedia Retrieval

Thesis: Understanding Text in Scene Images

Thesis: Human Pose Retrieval for Image and Video collections

Thesis: Understanding Semantic Association Between Images and Text

Thesis: Super-resolution of Digital Elevation Models With Deep Learning Solutions

Thesis: Monocular 3D Human Body Reconstruction

Thesis: Multiscale Two-view Stereo using Convolutional Neural Networks for Unrectified Images

Thesis: A New Algorithm for Ray Tracing Synthetic Light Fields on the GPU

Thesis: SemanticEdge Labeling usingDepth cues

Thesis: Computational Imaging Techniques to Recover Omni3D Structure & Surface Properties

Thesis: Extending Visual Object Tracking for Long Time Horizons

Thesis: Retinal Image Quality Improvement via Learning

Thesis: Exploring Binarization and Pruning of Convolutional Neural Networks

Thesis: Analyzing Racket Sports From Broadcast Videos

Thesis: Development and Tracking of Consensus Mesh for Monocular Depth Sequences

Thesis: On Compact Deep Neural Networks for Visual Place Recognition, Object Recognition and Visual Localization

Thesis: Towards Data-Driven Cinematography and Video Retargeting using Gaze

Thesis: Handwritten Word Recognition for Indic & Latin scripts using Deep CNN-RNN Hybrid Networks

Thesis: Audio-Visual Speech Recognition and Synthesis

Thesis:Multimodal Emotion Recognition from Advertisements with Application to Computational Advertising

Thesis:Understanding Short Social Video Clips using Visual-Semantic Joint Embedding

Thesis:Script and Language Identification for Document Images and Scene Texts

Thesis:Driver Attention Monitoring using Facial Features

Thesis:A Sketch-based Approach for Multimedia Retrieval

Thesis:A design for an automated Optical Coherence Tomography analysis system

Thesis:Exemplar based approaches on Face Fiducial Detection and Frontalization

Thesis:Active Learning & its Applications

Thesis:Automatic Analysis of Cricket And Soccer Broadcast Videos

Thesis:Population specific template construction and brain structure segmentation using deep learning methods

Thesis:Visual Perception Based Assistance for Fundus Image Readers

Thesis:Error Detection and Correction in Indic OCRs

Thesis: Optical Character Recognition as Sequence Mapping

Thesis: Human Pose Estimation: Extension and Application

Thesis:Landmark Detection in Retinal Images

Thesis:Tackling Low Resolution for Better Scene Understanding

Thesis:Machine Learning for Source-code Plagiarism Detection

Thesis:Learning Deep and Compact Models for Gesture Recognition

Thesis:Gender Differences in Facial Emotion Perception for User Profiling via Implicit Behavioral Signals

Thesis:Unconstrained Arabic & Urdu Text Recognition using Deep CNN-RNN Hybrid Networks

Thesis:Combining Class Taxonomies and Multi Task Learning To Regularize Fine-grained Recognition

Thesis:Efficient Annotation of Objects for Video Analysis

Thesis:Cognitive Vision: Examining Attention, Engagement and Cognitive load via Gaze and EEG

Thesis: Mixed-Resolution Patch-Matching

Thesis: Understanding and Describing Tennis Videos

Thesis: Distinctive Parts for Relative attributes

Thesis: Document Image Retrieval using Bag of Visual Words Model

Thesis: Tomographic Image Reconstruction in Noisy and Limited Data Settings

Thesis: Fine Pose Estimation and Region Proposals from a Single Image

Thesis: Diversity in Image Retrieval using Randomization and Learned Metrics

Thesis: Registration of Retinal Images

Thesis: Efficient Annotation and Knowledge Distillation for Semantic Segmentation