Kamu erişimi zorunlu olan makaleler - Pradeep SenDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 4
Offline deep importance sampling for Monte Carlo path tracing
S Bako, M Meyer, T DeRose, P Sen
Computer Graphics Forum 38 (7), 527-542, 2019
Zorunlu olanlar: US National Science Foundation
Stack-based algorithms for HDR capture and reconstruction
O Gallo, P Sen
High dynamic range video, 85-119, 2016
Zorunlu olanlar: US National Science Foundation
Deep appearance prefiltering
S Bako, P Sen, A Kaplanyan
ACM Transactions on Graphics 42 (2), 1-23, 2023
Zorunlu olanlar: US National Science Foundation
A surface approximation method for image and video correspondences
J Huang, B Wang, W Wang, P Sen
IEEE Transactions on Image Processing 24 (12), 5100-5113, 2015
Zorunlu olanlar: National Natural Science Foundation of China
Bir yerde sunuluyor: 19
Kernel-predicting convolutional networks for denoising Monte Carlo renderings.
S Bako, T Vogels, B McWilliams, M Meyer, J Novák, A Harvill, P Sen, ...
ACM Trans. Graph. 36 (4), 97:1-97:14, 2017
Zorunlu olanlar: US National Science Foundation
Pieapp: Perceptual image-error assessment through pairwise preference
E Prashnani, H Cai, Y Mostofi, P Sen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Zorunlu olanlar: US National Science Foundation
Recent advances in adaptive sampling and reconstruction for Monte Carlo rendering
M Zwicker, W Jarosz, J Lehtinen, B Moon, R Ramamoorthi, F Rousselle, ...
Computer graphics forum 34 (2), 667-681, 2015
Zorunlu olanlar: Swiss National Science Foundation
Localization-aware active learning for object detection
CC Kao, TY Lee, P Sen, MY Liu
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
Zorunlu olanlar: US National Science Foundation
Vortx: Volumetric 3d reconstruction with transformers for voxelwise view selection and fusion
N Stier, A Rich, P Sen, T Höllerer
2021 International Conference on 3D Vision (3DV), 320-330, 2021
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Removing shadows from images of documents
S Bako, S Darabi, E Shechtman, J Wang, K Sunkavalli, P Sen
Asian Conference on Computer Vision, 173-183, 2016
Zorunlu olanlar: US National Science Foundation
Meshlet priors for 3d mesh reconstruction
A Badki, O Gallo, J Kautz, P Sen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Zorunlu olanlar: US National Science Foundation
Practical high dynamic range imaging of everyday scenes: Photographing the world as we see it with our own eyes
P Sen, C Aguerrebere
IEEE Signal Processing Magazine 33 (5), 36-44, 2016
Zorunlu olanlar: US National Science Foundation
3dvnet: Multi-view depth prediction and volumetric refinement
A Rich, N Stier, P Sen, T Höllerer
2021 International Conference on 3D Vision (3DV), 700-709, 2021
Zorunlu olanlar: US National Science Foundation, US Department of Defense
A Phase‐Based Approach for Animating Images Using Video Examples
E Prashnani, M Noorkami, D Vaquero, P Sen
Computer Graphics Forum 36 (6), 303-311, 2017
Zorunlu olanlar: US National Science Foundation
Impact of annotator demographics on sentiment dataset labeling
Y Ding, J You, TK Machulla, J Jacobs, P Sen, T Höllerer
Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-22, 2022
Zorunlu olanlar: US National Science Foundation, US Department of Defense
User-perspective AR magic lens from gradient-based IBR and semi-dense stereo
D Baričević, T Höllerer, P Sen, M Turk
IEEE transactions on visualization and computer graphics 23 (7), 1838-1851, 2016
Zorunlu olanlar: US National Science Foundation
Panotrace: interactive 3d modeling of surround-view panoramic images in virtual reality
E Sayyad, P Sen, T Höllerer
Proceedings of the 23rd ACM Symposium on Virtual Reality Software and …, 2017
Zorunlu olanlar: US Department of Defense
GraphMatch: Efficient large-scale graph construction for structure from motion
Q Cui, V Fragoso, C Sweeney, P Sen
2017 International Conference on 3D Vision (3DV), 165-174, 2017
Zorunlu olanlar: US National Science Foundation
Progress in Rendering and Modeling for Digital Planetariums.
MA Magnor, P Sen, J Kniss, E Angel, S Wenger
Eurographics (Areas Papers), 1-8, 2010
Zorunlu olanlar: German Research Foundation
Cosmic-conn: a cosmic-ray detection deep-learning framework, data set, and toolkit
C Xu, C McCully, B Dong, DA Howell, P Sen
The Astrophysical Journal 942 (2), 73, 2023
Zorunlu olanlar: US National Science Foundation
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