default search action
Nima Khademi Kalantari
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j29]Salah A. Faroughi
, Nikhil M. Pawar
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics. J. Comput. Inf. Sci. Eng. 24(4) (2024) - [c21]Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, Nima Khademi Kalantari:
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians. ECCV (30) 2024: 19-37 - [i16]Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, Nima Khademi Kalantari:
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians. CoRR abs/2403.19495 (2024) - 2023
- [j28]Libing Zeng, Nima Khademi Kalantari:
Test-Time Optimization for Video Depth Estimation Using Pseudo Reference Depth. Comput. Graph. Forum 42(1): 195-205 (2023) - [j27]Nicholas Milef
Variational Pose Prediction with Dynamic Sample Selection from Sparse Tracking Signals. Comput. Graph. Forum 42(2): 359-369 (2023) - [j26]Xilong Zhou
A Semi-Procedural Convolutional Material Prior. Comput. Graph. Forum 42(6) (2023) - [j25]Avinash Paliwal
ReShader: View-Dependent Highlights for Single Image View-Synthesis. ACM Trans. Graph. 42(6): 216:1-216:9 (2023) - [c20]Avinash Paliwal, Andrii Tsarov, Nima Khademi Kalantari:
Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates. CVPR 2023: 888-898 - [c19]Libing Zeng, Lele Chen, Wentao Bao, Zhong Li, Yi Xu, Junsong Yuan
3D-aware Facial Landmark Detection via Multi-view Consistent Training on Synthetic Data. CVPR 2023: 12747-12758 - [c18]Xilong Zhou
PhotoMat: A Material Generator Learned from Single Flash Photos. SIGGRAPH (Conference Paper Track) 2023: 49:1-49:11 - [c17]Libing Zeng
MyStyle++: A Controllable Personalized Generative Prior. SIGGRAPH Asia 2023: 70:1-70:11 - [c16]Pedro Figueirêdo, Avinash Paliwal
Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding. WACV 2023: 218-228 - [i15]Avinash Paliwal
Implicit View-Time Interpolation of Stereo Videos using Multi-Plane Disparities and Non-Uniform Coordinates. CoRR abs/2303.17181 (2023) - [i14]Xilong Zhou, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Nima Khademi Kalantari:
PhotoMat: A Material Generator Learned from Single Flash Photos. CoRR abs/2305.12296 (2023) - [i13]Libing Zeng, Lele Chen, Yi Xu, Nima Khademi Kalantari:
MyStyle++: A Controllable Personalized Generative Prior. CoRR abs/2306.04865 (2023) - [i12]Avinash Paliwal, Brandon G. Nguyen, Andrii Tsarov, Nima Khademi Kalantari:
ReShader: View-Dependent Highlights for Single Image View-Synthesis. CoRR abs/2309.10689 (2023) - 2022
- [j24]Xilong Zhou, Nima Khademi Kalantari
Look-Ahead Training with Learned Reflectance Loss for Single-Image SVBRDF Estimation. ACM Trans. Graph. 41(6): 266:1-266:12 (2022) - [j23]Ying Wang, Jasper Verheul
Differentiable Simulation of Inertial Musculotendons. ACM Trans. Graph. 41(6): 272:1-272:11 (2022) - [c15]Xilong Zhou
TileGen: Tileable, Controllable Material Generation and Capture. SIGGRAPH Asia 2022: 34:1-34:9 - [i11]Ying Wang, Nima Khademi Kalantari, Shinjiro Sueda:
Differentiable Simulation of Inertial Musculotendons. CoRR abs/2202.02344 (2022) - [i10]Xilong Zhou, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, Nima Khademi Kalantari:
TileGen: Tileable, Controllable Material Generation and Capture. CoRR abs/2206.05649 (2022) - [i9]Pedro Figueirêdo, Avinash Paliwal, Nima Khademi Kalantari:
Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding. CoRR abs/2209.13284 (2022) - [i8]Salah A. Faroughi, Nikhil M. Pawar, Célio Fernandes
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing. CoRR abs/2211.07377 (2022) - 2021
- [j22]Xilong Zhou
Adversarial Single-Image SVBRDF Estimation with Hybrid Training. Comput. Graph. Forum 40(2): 315-325 (2021) - [c14]Avinash Paliwal
Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask. ICCP 2021: 1-10 - [c13]Deepankar Chanda, Nima Khademi Kalantari:
Semantic-Aware Generative Approach for Image Inpainting. EGSR (DL) 2021: 61-72 - [c12]Nicholas Milef, Nima K. Kalantari:
Foveated Monte-Carlo Denoising. SIGGRAPH Posters 2021: 33:1-33:2 - [i7]Avinash Paliwal, Libing Zeng, Nima Khademi Kalantari:
Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask. CoRR abs/2103.02861 (2021) - 2020
- [j21]Avinash Paliwal
Deep Slow Motion Video Reconstruction With Hybrid Imaging System. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1557-1569 (2020) - [j20]Marcel Santana Santos, Tsang Ing Ren, Nima Khademi Kalantari
Single image HDR reconstruction using a CNN with masked features and perceptual loss. ACM Trans. Graph. 39(4): 80 (2020) - [j19]Qinbo Li, Nima Khademi Kalantari
Synthesizing light field from a single image with variable MPI and two network fusion. ACM Trans. Graph. 39(6): 229:1-229:10 (2020) - [i6]Avinash Paliwal, Nima Khademi Kalantari:
Deep Slow Motion Video Reconstruction with Hybrid Imaging System. CoRR abs/2002.12106 (2020) - [i5]Marcel Santana Santos, Tsang Ing Ren, Nima Khademi Kalantari:
Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss. CoRR abs/2005.07335 (2020)
2010 – 2019
- 2019
- [j18]Nima Khademi Kalantari
Deep HDR Video from Sequences with Alternating Exposures. Comput. Graph. Forum 38(2): 193-205 (2019) - [j17]Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz Cayon, Nima Khademi Kalantari
Local light field fusion: practical view synthesis with prescriptive sampling guidelines. ACM Trans. Graph. 38(4): 29:1-29:14 (2019) - [j16]Alexandr Kuznetsov, Milos Hasan, Zexiang Xu, Ling-Qi Yan, Bruce Walter, Nima Khademi Kalantari
Learning generative models for rendering specular microgeometry. ACM Trans. Graph. 38(6): 225:1-225:14 (2019) - [i4]Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, Abhishek Kar:
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines. CoRR abs/1905.00889 (2019) - 2018
- [j15]Alexandr Kuznetsov, Nima Khademi Kalantari
Deep Adaptive Sampling for Low Sample Count Rendering. Comput. Graph. Forum 37(4): 35-44 (2018) - [c11]Sai Bi, Nima Khademi Kalantari
Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition. EGSR (EI&I) 2018: 53-63 - [i3]Sai Bi, Nima Khademi Kalantari, Ravi Ramamoorthi:
Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition. CoRR abs/1807.11226 (2018) - 2017
- [j14]Sai Bi, Nima Khademi Kalantari
Patch-based optimization for image-based texture mapping. ACM Trans. Graph. 36(4): 106:1-106:11 (2017) - [j13]Ting-Chun Wang, Jun-Yan Zhu, Nima Khademi Kalantari
Light field video capture using a learning-based hybrid imaging system. ACM Trans. Graph. 36(4): 133:1-133:13 (2017) - [j12]Nima Khademi Kalantari
Deep high dynamic range imaging of dynamic scenes. ACM Trans. Graph. 36(4): 144:1-144:12 (2017) - [i2]Ting-Chun Wang, Jun-Yan Zhu, Nima Khademi Kalantari, Alexei A. Efros, Ravi Ramamoorthi:
Light Field Video Capture Using a Learning-Based Hybrid Imaging System. CoRR abs/1705.02997 (2017) - 2016
- [j11]Nima Khademi Kalantari
Learning-based view synthesis for light field cameras. ACM Trans. Graph. 35(6): 193:1-193:10 (2016) - [i1]Nima Khademi Kalantari, Ting-Chun Wang, Ravi Ramamoorthi:
Learning-Based View Synthesis for Light Field Cameras. CoRR abs/1609.02974 (2016) - 2015
- [b1]Nima Khademi Kalantari:
Utilizing Machine Learning for Filtering General Monte Carlo Noise. University of California, Santa Barbara, USA, 2015 - [j10]Nima Khademi Kalantari
A machine learning approach for filtering Monte Carlo noise. ACM Trans. Graph. 34(4): 122:1-122:12 (2015) - [c10]Abhishek Badki, Nima Khademi Kalantari
Robust Radiometric Calibration for Dynamic Scenes in the Wild. ICCP 2015: 1-10 - [c9]Pradeep Sen, Matthias Zwicker
Denoising your Monte Carlo renders: recent advances in image-space adaptive sampling and reconstruction. SIGGRAPH Courses 2015: 11:1-11:255 - 2014
- [c8]Nima Khademi Kalantari
Improving patch-based synthesis by learning patch masks. ICCP 2014: 1-8 - 2013
- [j9]Nima Khademi Kalantari
Removing the Noise in Monte Carlo Rendering with General Image Denoising Algorithms. Comput. Graph. Forum 32(2): 93-102 (2013) - [j8]Nima Khademi Kalantari
Patch-based high dynamic range video. ACM Trans. Graph. 32(6): 202:1-202:8 (2013) - 2012
- [j7]Nima Khademi Kalantari
Fast Generation of Approximate Blue Noise Point Sets. Comput. Graph. Forum 31(4): 1529-1535 (2012) - [j6]Pradeep Sen
Robust patch-based hdr reconstruction of dynamic scenes. ACM Trans. Graph. 31(6): 203:1-203:11 (2012) - 2011
- [j5]Nima Khademi Kalantari
Efficient Computation of Blue Noise Point Sets through Importance Sampling. Comput. Graph. Forum 30(4): 1215-1221 (2011) - 2010
- [j4]Mohammad Ali Akhaee, Nima Khademi Kalantari
Robust audio and speech watermarking using Gaussian and Laplacian modeling. Signal Process. 90(8): 2487-2497 (2010) - [j3]Nima Khademi Kalantari, Seyed Mohammad Ahadi, Mansur Vafadust:
A Robust Image Watermarking in the Ridgelet Domain Using Universally Optimum Decoder. IEEE Trans. Circuits Syst. Video Technol. 20(3): 396-406 (2010) - [j2]Nima Khademi Kalantari
A Logarithmic Quantization Index Modulation for Perceptually Better Data Hiding. IEEE Trans. Image Process. 19(6): 1504-1517 (2010) - [c7]Nima Khademi Kalantari
Rational Dither Modulation using logarithmic quantization with optimum parameter. ICASSP 2010: 1738-1741 - [c6]Mohammad Hossein Moattar
A new approach for robust realtime Voice Activity Detection using spectral pattern. ICASSP 2010: 4478-4481
2000 – 2009
- 2009
- [j1]Nima Khademi Kalantari
Robust Multiplicative Patchwork Method for Audio Watermarking. IEEE Trans. Speech Audio Process. 17(6): 1133-1141 (2009) - [c5]Nima Khademi Kalantari
Logarithmic Quantization Index Modulation: A perceptually better way to embed data within a cover signal. ICASSP 2009: 1433-1436 - [c4]Mohammad Ali Akhaee, Nima Khademi Kalantari, Farokh Marvasti:
Robust Multiplicative Audio and Speech Watermarking Using Statistical Modeling. ICC 2009: 1-5 - [c3]Nima Khademi Kalantari
Robust Multiplicative Patchwork Method for audio watermarking. DPS 2009: 1-4 - 2008
- [c2]Nima Khademi Kalantari
Vector Quantization Index Modulation watermarking using concentric hyperspherical codebooks. ICASSP 2008: 1741-1744 - [c1]Nima Khademi Kalantari
A universally optimum decoder for multiplicative audio watermarking. ICME 2008: 225-228
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: