Publications

Automated assistants to identify and prompt action on visual news bias.

Published in 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2017

In this paper we propose a novel tool called UnbiasedCrowd that supports identification of, and action on bias in visual news media. We describe a preliminary study and conclude by discussing design and implication of our findings for creating future systems to identify and counteract the effects of news bias.

Recommended citation: Narwal, Vishwajeet et al. "Automated assistants to identify and prompt action on visual news bias." 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. 2017 https://dl.acm.org/doi/pdf/10.1145/3027063.3053227

Natural Image Interpolation Using Extreme Learning Machine

Published in International Conference on Soft Computing and Pattern Recognition, 2016., 2016

In this paper, we investigate replacing the linear model by a flexible non-linear model, resulting in a novel interpolation algorithm based on extreme learning machines. Based on an extensive set of experiments, we show that our proposed approach yields improved image quality, as confirmed by both objective and subjective results.

Recommended citation: Dubey, Aman et al. (2010). "Natural Image Interpolation Using Extreme Learning Machine." International Conference on Soft Computing and Pattern Recognition. . Springer, Cham, 2016.. https://link.springer.com/chapter/10.1007/978-3-319-60618-7_34

Daemo: A self-governed crowdsourcing marketplace

Published in 28th annual ACM symposium on user interface software & technology, 2015

This paper introduces Daemo, a self-governed crowdsourcing marketplace. We proposed a prototype task to improve the work quality and open-governance model to achieve equitable representation. We envisage Daemo will enable workers to build sustainable careers and provide requesters with timely, quality labor for their businesses.

Recommended citation: Gaikwad, Snehal et al. ""Daemo: A self-governed crowdsourcing marketplace." 28th annual ACM symposium on user interface software & technology. 2015 https://dl.acm.org/doi/pdf/10.1145/2815585.2815739

Peripheral Detail-based Edge Preserving Image Interpolation Scheme

Published in Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), 2015

In this paper, We propose an edge preserving interpolation algorithm in this paper. Our proposed algorithm extracts and recognises the direction of edges in an image. Based on the extracted information about localisation of edges, interpolated pixels are either replicated or predicted from known neighbourhood pixels. Experimental results confirm our approach to give good image quality, outperforming various other interpolation algorithms.

Recommended citation: Jha, Abhinash Kumar, et al. "Peripheral Detail-based Edge Preserving Image Interpolation Scheme." Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV). . The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2015. https://search.proquest.com/docview/1706223619?pq-origsite=gscholar&fromopenview=true

Interlinear image interpolation scheme for real time application

Published in 2014 Annual IEEE India Conference (INDICON), 2014

We have proposed a computationally simple interpolation algorithm for real time applications. The experimental results show that our proposed algorithm excels the conventional interpolation methods in visual effect, and has a lower complexity. Therefore, the algorithm adapts to real-time image resizing.

Recommended citation: Jha, Abhinash Kumar, et al. (2014). ""Interlinear image interpolation scheme for real time application." 2014 Annual IEEE India Conference (INDICON)(pp. 1-6). https://ieeexplore.ieee.org/iel7/7016294/7030354/07030451.pdf

Vishwajeet Narwal