output
20062026
most citedBuilding better spin models for merging binary black holes: Evidence for non-spinning and rapidly spinning nearly aligned sub-populations

90 citations

Showing cs.CVShow all

8 papers · 1 filter

cs.CV2026

Development of Low-Cost Real-Time Driver Drowsiness Detection System using Eye Centre Tracking and Dynamic Thresholding

Fuzail Khan, Sandeep Sharma, M. R. Arulalan

One in every five vehicle accidents on the road today is caused simply due to driver fatigue. Fatigue or otherwise drowsiness, significantly reduces the concentration and vigilance…

cs.CV2026★ 12 cited

Product Review Based on Optimized Facial Expression Detection

Vikrant Chaugule, Abhishek D, Aadheeshwar Vijayakumar +2

This paper proposes a method to review public acceptance of products based on their brand by analyzing the facial expression of the customer intending to buy the product from a sup…

cs.CV2021★ 1 cited

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Zudi Lin, Donglai Wei, Mariela D. Petkova +12

Segmenting 3D cell nuclei from microscopy image volumes is critical for biological and clinical analysis, enabling the study of cellular expression patterns and cell lineages. Howe…

cs.CV2020★ 2 cited

Depth-Based Selective Blurring in Stereo Images Using Accelerated Framework

Subhayan Mukherjee, Ram Mohana Reddy Guddeti

We propose a hybrid method for stereo disparity estimation by combining block and region-based stereo matching approaches. It generates dense depth maps from disparity measurements…

cs.CV2020★ 15 cited

A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo vision

Subhayan Mukherjee, Ram Mohana Reddy Guddeti

In this paper, we have proposed a novel method for stereo disparity estimation by combining the existing methods of block based and region based stereo matching. Our method can gen…

cs.CV2018★ 77 cited

Preserving Semantic Relations for Zero-Shot Learning

Yashas Annadani, Soma Biswas

Zero-shot learning has gained popularity due to its potential to scale recognition models without requiring additional training data. This is usually achieved by associating catego…

cs.CV2017★ 1 cited

Entropy-difference based stereo error detection

Subhayan Mukherjee, Irene Cheng, Ram Mohana Reddy Guddeti +1

Stereo depth estimation is error-prone; hence, effective error detection methods are desirable. Most such existing methods depend on characteristics of the stereo matching cost cur…

cs.CV2016

Selfie Detection by Synergy-Constraint Based Convolutional Neural Network

Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish +1

Categorisation of huge amount of data on the multimedia platform is a crucial task. In this work, we propose a novel approach to address the subtle problem of selfie detection for…