Pradeep Sen

List of Publications for Evaluation

1.Qiaodong Cui, Pradeep Sen, and Theodore Kim. 2018. Scalable Laplacian Eigenfluids. ACM Trans. Graph. 37, 4, Article 87 (August 2018), 12 pages.

2. Steve Bako, Thijs Vogels, Brian McWilliams, Mark Meyer, Jan Novák, Alex Harvill, Pradeep Sen, Tony DeRose, and Fabrice Rousselle. 2017.
Kernel-Predicting Convolutional Networks for Denoising Monte Carlo Renderings. ACM Trans. Graph. 36, 4, Article 97 (July 2017), 14 pages.

3. Abhishek Badki, Orazio Gallo, Jan Kautz, and Pradeep Sen. 2017. Computational Zoom: A Framework for Post-Capture Image Composition. ACM Trans. Graph. 36, 4, Article 46 (July 2017), 14 pages.

4. Nima Khademi Kalantari, Steve Bako, and Pradeep Sen. 2015. A Machine Learning Approach for Filtering Monte Carlo Noise. ACM Trans. Graph. 34, 4, Article 122 (July 2015), 12 pages.

5. Pradeep Sen, Nima Khademi Kalantari, Maziar Yaesoubi, Soheil Darabi, Dan B. Goldman, and Eli Shechtman. 2012. Robust patch-based hdr reconstruction of dynamic scenes. ACM Trans. Graph. 31, 6, Article 203 (November 2012), 11 pages.

6. Sen, P. and Darabi, S. 2011. On Filtering the Noise from the Random Parameters in Monte Carlo Rendering. ACM Trans. Graph. XX, X, Article XXX (September 2011), 14 pages.

7. E. Prashnani, H. Cai, Y. Mostofi and P. Sen. PieAPP: Perceptual Image-Error Assessment through Pairwise Preference. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018