13 citations · 18 across the 8 of their papers we have counts for
8 papers
Can viewer proximity be a behavioural marker for Autism Spectrum Disorder?
Rahul Bishain, Bhismadev Chakrabarti, Jayashree Dasgupta +2
Screening for any of the Autism Spectrum Disorders is a complicated process often involving a hybrid of behavioural observations and questionnaire based tests. Typically carried ou…
Low radiation tomographic reconstruction with and without template information
Preeti Gopal, Sharat Chandran, Imants Svalbe +1
Low-dose tomography is highly preferred in medical procedures for its reduced radiation risk when compared to standard-dose Computed Tomography (CT). However, the lower the intensi…
Tomographic reconstruction to detect evolving structures
Preeti Gopal, Sharat Chandran, Imants Svalbe +1
The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical. In such cases, i…
Joint Seat Allocation 2018: An algorithmic perspective
Surender Baswana, Partha Pratim Chakrabarti, Yashodhan Kanoria +2
Until 2014, admissions to the Indian Institutes of Technology (IITs) were conducted under one umbrella, whereas the admissions to the non-IIT Centrally Funded Government Institutes…
Learning from past scans: Tomographic reconstruction to detect new structures
Preeti Gopal, Sharat Chandran, Imants Svalbe +1
The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical. In such cases, p…
A Large Dataset for Improving Patch Matching
Rahul Mitra, Nehal Doiphode, Utkarsh Gautam +4
We propose a new dataset for learning local image descriptors which can be used for significantly improved patch matching. Our proposed dataset consists of an order of magnitude mo…
Tomographic Reconstruction using Global Statistical Prior
Preeti Gopal, Ritwick Chaudhry, Sharat Chandran +2
Recent research in tomographic reconstruction is motivated by the need to efficiently recover detailed anatomy from limited measurements. One of the ways to compensate for the incr…
Improved Descriptors for Patch Matching and Reconstruction
Rahul Mitra, Jiakai Zhang, Sanath Narayan +3
We propose a convolutional neural network (ConvNet) based approach for learning local image descriptors which can be used for significantly improved patch matching and 3D reconstru…