Browsing E-print Articles by Title

Browsing E-print Articles by Title

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  • A graph neural network approach for temporal mesh blending and correspondence 
    Gangopadhyay, Aalok; Harish, Abhinav Narayan; Singh, Prajwal; Raman, Shanmuganathan (Cornell University Library, 2023-06)
    We have proposed a self-supervised deep learning framework for solving the mesh blending problem in scenarios where the meshes are not in correspondence. To solve this problem, we have developed Red-Blue MPNN, a novel graph ...
  • Addressing practical challenges in active learning via a hybrid query strategy 
    Agarwal, Deepesh; Srivastava, Pravesh; Martin-del-Campo, Sergio; Natarajan, Balasubramaniam; Srinivasan, Babji (Cornell University Library, 2021-10)
    Active Learning (AL) is a powerful tool to address modern machine learning problems with significantly fewer labeled training instances. However, implementation of traditional AL methodologies in practical scenarios is ...
  • Almost-global tracking for a rigid body with internal rotors 
    Nayak, Aradhana; Banavar, Ravi; Maithripala, D. H. S. (Cornell University Library, 2017-03)
    Almost-global orientation trajectory tracking for a rigid body with external actuation has been well studied in the literature, and in the geometric setting as well. The tracking control law relies on the fact that a rigid ...
  • Analysing digital in-memory computing for advanced finFET node 
    Devaraddi, Veerendra S.; Mekie, Joycee (Cornell University Library, 2021-08)
    Digital In-memory computing improves energy efficiency and throughput of a data-intensive process, which incur memory thrashing and, resulting multiple same memory accesses in a von Neumann architecture. Digital in-memory ...
  • Analysis and control of a planar quadrotor 
    Venkatesh, Praveen; Vadhvana, Sanket; Jain, Varun (Cornell University Library, 2021-06)
    In this paper, we model the planar motion of a quadcopter, and develop a linear model of the same. We perform stability analysis of the open loop system and develop a PD controller for its position control. We compare the ...
  • APEX-NET: Automatic Plot Extractor Network 
    Gangopadhyay, Aalok; Singh, Prajwal; Raman, Shanmuganathan (Cornell University Library, 2021-01)
    Automatic extraction of raw data from 2D line plot images is a problem of great importance having many real-world applications. Several algorithms have been proposed for solving this problem. However, these algorithms ...
  • Approximate reflection symmetry in a point set: theory and algorithm with an application 
    Nagar, Rajendra; Raman, Shanmuganathan (Cornell University Library, 2017-06)
    We propose an algorithm to detect approximate reflection symmetry present in a set of volumetrically distributed points belonging to Rd containing a distorted reflection symmetry pattern. We pose the problem of detecting ...
  • Arbitrary scale super-resolution assisted lunar crater detection in satellite images 
    Tewari, Atal; Khanna, Nitin (Cornell University Library, 2024-02)
    Craters are one of the most studied planetary features used for different scientific analyses, such as estimation of surface age and surface processes. Satellite images utilized for crater detection often have low resolution ...
  • Assessing the interplay between travel patterns and SARS-CoV-2 outbreak in realistic urban setting 
    Patil, Rohan; Dave, Raviraj; Patel, Harsh; Shah, Viraj M.; Chakrabarti, Deep; Bhatia, Udit (Cornell University Library, 2020-09)
  • Asynchronous real-time learning in spiking neural network using 3-terminal resistance random access memory 
    Singh, Harshvardhan; Solanki, Nirmal; Maskeen, Jaskirat Singh; Lashkare, Sandip (Institute of Electrical and Electronics Engineers (IEEE), 2025-05)
    Spiking Neural Networks, inspired by the human brain, are promising as they attempt to solve real-life complex problems, such as pattern recognition, at low energy consumption. Resistance Random Access Memory (RRAM) crossbar ...
  • Attitude Tracking Control for Aerobatic Helicopters: A Geometric Approach 
    Raj, Nidhish; Banavar, Ravi; Abhishek; Kothari, Mangal (Cornell University Library, 2017-03)
    We consider the problem of attitude tracking for small-scale aerobatic helicopters. A small scale helicopter has two subsystems: the fuselage, modeled as a rigid body; and the rotor, modeled as a first order system. Due ...
  • Automated crater detection from co-registered optical images, elevation maps and slope maps using deep learning 
    Tewari, Atal; Verma, Vinay; Srivastava, Pradeep; Jain, Vikrant; Khanna, Nitin (Cornell University Library, 2020-12)
    Impact craters are formed as a result of continuous impacts on the surface of planetary bodies. This paper proposes a novel way of simultaneously utilizing optical images, digital elevation maps (DEMs), and slope maps for ...
  • Automatic content aware non-photorealistic rendering of images 
    Patil, Akshay Gadi; Raman, Shanmuganathan (Cornell University Library, 2016-04)
    Non-photorealistic rendering techniques work on image features and often manipulate a set of characteristics such as edges and texture to achieve a desired depiction of the scene. Most computational photography methods ...
  • Automatic crater shape retrieval using unsupervised and semi-supervised systems 
    Tewari, Atal; Jain, Vikrant; Khanna, Nitin (Cornell University Library, 2022-11)
    Impact craters are formed due to continuous impacts on the surface of planetary bodies. Most recent deep learning-based crater detection methods treat craters as circular shapes, and less attention is paid to extracting ...
  • Automatic segmentation of dynamic objects from an image pair 
    Malireddi, Sri Raghu; Raman, Shanmuganathan (Cornell University Library, 2016-04)
    Automatic segmentation of objects from a single image is a challenging problem which generally requires training on large number of images. We consider the problem of automatically segmenting only the dynamic objects from ...
  • Band-to-band tunneling based ultra-energy efficient silicon neuron 
    Chavan, Tanmay; Dutta, Sangya; Mohapatra, Nihar Ranjan; Ganguly, Udayan (Cornell University Library, 2019-02)
    The human brain comprises about a hundred billion neurons connected through quadrillion synapses. Spiking Neural Networks (SNNs) take inspiration from the brain to model complex cognitive and learning tasks. Neuromorphic ...
  • BEAMERS: brain-engaged, active music-based emotion regulation system 
    Li, Jiyang; Wang, Wei; Bhagtani, Kratika; Jin, Yincheng; Jin, Zhanpeng (Cornell University Library, 2022-11)
    With the increasing demands of emotion comprehension and regulation in our daily life, a customized music-based emotion regulation system is introduced by employing current EEG information and song features, which predicts ...
  • Block-level double JPEG compression detection for image forgery localization 
    Verma, Vinay; Singh, Deepak; Khanna, Nitin (Cornell University Library, 2020-03)
  • Challenges in Gaussian processes for non intrusive load monitoring 
    Desai, Aadesh; Vashishtha, Gautam; Patel, Zeel B.; Batra, Nipun (Cornell University Library, 2022-11)
    Non-intrusive load monitoring (NILM) or energy disaggregation aims to break down total household energy consumption into constituent appliances. Prior work has shown that providing an energy breakdown can help people save ...
  • Circuit-aware device modeling of energy-efficient monolayer WS2 trench-FinFETs 
    Agarwal, Tarun; Lee, Youseung; Luisier, Mathieu (Cornell University Library, 2021-04)
    The continuous scaling of semiconductor technology has pushed the footprint of logic devices below 50 nm. Currently, logic standard cells with one single fin are being investigated to increase the integration density, ...

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