E-print Articles

E-print Articles

 

Recent Submissions

  • Rajpura, Param S.; Goyal, Manik; Hegde, Ravi S.; Bojinov, Hristo (Cornell University Library, 2017-09)
    Although Deep Convolutional Neural Networks trained with strong pixel-level annotations have significantly pushed the performance in semantic segmentation, annotation efforts required for the creation of training data ...
  • Vora, Aditya; Raman, Shanmuganathan (Cornell University Library, 2017-06)
    This paper addresses the problem of unsupervised object localization in an image. Unlike previous supervised and weakly supervised algorithms that require bounding box or image level annotations for training classifiers ...
  • Vora, Aditya; Raman, Shanmuganathan (Cornell University Library, 2017-06)
    Segmenting foreground object from a video is a challenging task because of the large deformations of the objects, occlusions, and background clutter. In this paper, we propose a frame-by-frame but computationally efficient ...
  • 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 ...
  • Rajpura, Param S.; Hegde, Ravi S.; Bojinov, Hristo (Cornell University Library, 2017-06)
  • B, Ramkumar; Hegde, Ravi S.; Laber, Rob; Bojinov, Hristo (Cornell University Library, 2017-06)
  • Donda, Krupali D.; Hegde, Ravi S. (Cornell University Library, 2017-04)
  • Joshi, Kedar; Gupta, Naman; Katdare, Pulkit; Kadam, Sudin; Banavar, Ravi (Cornell University Library, 2017-03)
    Locomotion at low Reynolds numbers is a topic of growing interest, spurred by its various engineering and medical applications. This paper presents a novel prototype and locomotion algorithm for the 3-link planar Purcell's ...
  • 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 ...
  • Raj, Nidhish; Banavar, Ravi; Abhishek, A.; 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 ...
  • Raman, Shanmuganathan; Sheth, Kshiteej (Cornell University Library, 2016-09)
  • Raman, Shanmuganathan; Pachori, Shubham (Cornell University Library, 2016-10)
    This paper provides a framework to hash images containing instances of unknown object classes. In many object recognition problems, we might have access to huge amount of data. It may so happen that even this huge data ...
  • 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 ...
  • 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 ...
  • Salvi, Govind; Sharma, Puneet; Raman, Shanmuganathan (Cornell University Library, 2013-05)
    Most of the real world scenes have a very high dynamic range (HDR). The mobile phone cameras and the digital cameras available in markets are limited in their capability in both the range and spatial resolution. Same ...

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