• Login
    Search 
    •   etd@IISc
    • Division of Interdisciplinary Research
    • Department of Computational and Data Sciences (CDS)
    • Search
    •   etd@IISc
    • Division of Interdisciplinary Research
    • Department of Computational and Data Sciences (CDS)
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 31-40 of 54

    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    Learning to Perceive Humans From Appearance and Pose 

    Seth, Siddharth
    Analyzing humans and their activities takes a central role in computer vision. This requires machine learning models to encapsulate both the diverse poses and appearances exhibited by humans. Estimating the 3D poses of ...

    Landmark Estimation and Image Synthesis Guidance using Self-Supervised Networks 

    Karmali, Tejan
    The exponential rise in the availability of data over the past decade has fuelled research in deep learning. While supervised deep learning models achieve near-human performance using annotated data, it comes with an ...

    Deep Learning in Computer Vision: Studies in Neuro-image Segmentation and Satellite Image Super-resolution 

    Roy, Shreya
    Single image super-resolution (SR) has been a topic of great interest in the computer vision and deep learning community and has found applications in many areas including quality enhancement of satellite images. As the ...

    Optimizing the Interval-centric Distributed Computing Model for Temporal Graph Algorithms 

    Baranawal, Animesh
    Graphs with temporal characteristics are increasingly becoming prominent. Their vertices, edges and attributes are annotated with a lifespan, allowing one to add or remove vertices and edges. Such graphs can grow to millions ...

    Efficient and Resilient Stream Processing in Distributed Shared Environment 

    Chaturvedi, Shilpa
    Internet of Things (IoT) deployments comprising of sensors and actuators collect observational data and provide continuous streams of data, often called streaming data or fast data. Smart Cities use such IoT technologies ...

    Characterization of Divergence resulting from Workload, Memory and Control-Flow behavior in GPGPU Applications 

    Morkhande, Rahul Raj Kumar
    GPGPUs have emerged as high-performance computing platforms and are used for boosting the performance of general non-graphics applications from various scientifi c domains. These applications span varied areas like social ...

    Novel Deep Learning Methods for Improving Low-Dose Computed Tomography Perfusion Imaging of Brain 

    Dutta, Arindam
    Computed Tomography (CT) Perfusion imaging is a non-invasive medical imaging modality that has also established itself as a fast and economical imaging modality for diagnosing cerebrovascular diseases such as acute ischemia, ...

    Migrating VM Workloads to Containers: Issues and Challenges 

    Garg, Surya Kant
    Modern day enterprises are adopting virtualization to leverage the benefits of improved server utilization through workload consolidation. Server consolidation provides this benefit to enterprise applications as many of ...

    Static Analysis and Dynamic Monitoring of Program Flow on REDEFINE Manycore Processor 

    Baral, Pushpa
    Manycore heterogeneous architectures are becoming the promising choice for high-performance computing applications. Multiple parallel tasks run concurrently across different processor cores sharing the same communication ...

    Coarse-grained dynamics derived structural ensemble for prediction of metal binding sites of protein and phenotypic effects of variants 

    Garg, Aditi
    Structures of proteins play a key role in determining their functions. Knowledge of structure, especially the details of specific sites of a protein can help us understand their contribution to the overall activity. ...
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6

    etd@IISc is a joint service of SERC & J R D Tata Memorial (JRDTML) Library || Powered by DSpace software || DuraSpace
    Contact Us | Send Feedback | Thesis Templates
    Theme by 
    Atmire NV
     

     

    Browse

    All of etd@IIScCommunities & CollectionsTitlesAuthorsAdvisorsSubjectsBy Thesis Submission DateThis CollectionTitlesAuthorsAdvisorsSubjectsBy Thesis Submission Date

    My Account

    LoginRegister

    Discover

    AuthorKumar, Vikash (2)Abhishek, A (1)Addepalli, Sravanti (1)Aggarwal, Surbhi (1)Agrawal, Harish (1)Ahmad, Touseef (1)Alladin, Muttaqi Ahmad (1)Anandh, Thivin (1)Avasarala, Srikanth (1)Barak, Parvesh (1)... View MoreSubjectTECHNOLOGY (54)Deep Learning (8)Computer Vision (3)Deep Neural Networks (3)Machine Learning (3)Adversarial Robustness (2)Artificial Intelligence (2)Combinatorial Algorithms (2)Computer vision (2)computer vision (2)... View MoreHas File(s)
    Yes (54)

    etd@IISc is a joint service of SERC & J R D Tata Memorial (JRDTML) Library || Powered by DSpace software || DuraSpace
    Contact Us | Send Feedback | Thesis Templates
    Theme by 
    Atmire NV