Vector Quantization Index Modulation watermarking using concentric hyperspherical codebooks. - Nima Khademi Kalantari; Seyed Mohammad Ahadi (ICASSP, 2008)

A universally optimum decoder for multiplicative audio watermarking. - Nima Khademi Kalantari; Seyed Mohammad Ahadi; Hamidreza Amindavar (ICME, 2008)

Logarithmic Quantization Index Modulation: A perceptually better way to embed data within a cover signal. - Nima Khademi Kalantari; Seyed Mohammad Ahadi (ICASSP, 2009)

Robust Multiplicative Audio and Speech Watermarking Using Statistical Modeling. - Mohammad Ali Akhaee; Nima Khademi Kalantari; Farokh Marvasti (ICC, 2009)

Robust Multiplicative Patchwork Method for Audio Watermarking. - Nima Khademi Kalantari; Mohammad Ali Akhaee; Seyed Mohammad Ahadi; Hamidreza Amindavar (IEEE Trans. Speech Audio Process., 2009)

Rational Dither Modulation using logarithmic quantization with optimum parameter. - Nima Khademi Kalantari; Khademi Ahadi (ICASSP, 2010)

A new approach for robust realtime Voice Activity Detection using spectral pattern. - Mohammad Hossein Moattar; Mohammad Mehdi Homayounpour; Nima Khademi Kalantari (ICASSP, 2010)

Robust audio and speech watermarking using Gaussian and Laplacian modeling. - Mohammad Ali Akhaee; Nima Khademi Kalantari; Farokh Marvasti (Signal Process., 2010)

A Robust Image Watermarking in the Ridgelet Domain Using Universally Optimum Decoder. - Nima Khademi Kalantari; Seyed Mohammad Ahadi; Mansur Vafadust (IEEE Trans. Circuits Syst. Video Technol., 2010)

A Logarithmic Quantization Index Modulation for Perceptually Better Data Hiding. - Nima Khademi Kalantari; Seyed Mohammad Ahadi (IEEE Trans. Image Process., 2010)

Efficient Computation of Blue Noise Point Sets through Importance Sampling. - Nima Khademi Kalantari; Pradeep Sen (Comput. Graph. Forum, 2011)

Fast Generation of Approximate Blue Noise Point Sets. - Nima Khademi Kalantari; Pradeep Sen (Comput. Graph. Forum, 2012)

Robust patch-based hdr reconstruction of dynamic scenes. - Pradeep Sen; Nima Khademi Kalantari; Maziar Yaesoubi; Soheil Darabi; Dan B. Goldman; Eli Shechtman (ACM Trans. Graph., 2012)

Removing the Noise in Monte Carlo Rendering with General Image Denoising Algorithms. - Nima Khademi Kalantari; Pradeep Sen (Comput. Graph. Forum, 2013)

Patch-based high dynamic range video. - Nima Khademi Kalantari; Eli Shechtman; Connelly Barnes; Soheil Darabi; Dan B. Goldman; Pradeep Sen (ACM Trans. Graph., 2013)

Improving patch-based synthesis by learning patch masks. - Nima Khademi Kalantari; Eli Shechtman; Soheil Darabi; Dan B. Goldman; Pradeep Sen (ICCP, 2014)

Robust Radiometric Calibration for Dynamic Scenes in the Wild. - Abhishek Badki; Nima Khademi Kalantari; Pradeep Sen (ICCP, 2015)

Denoising your Monte Carlo renders: recent advances in image-space adaptive sampling and reconstruction. - Pradeep Sen; Matthias Zwicker; Fabrice Rousselle; Sung-Eui Yoon; Nima Khademi Kalantari (SIGGRAPH Courses, 2015)

A machine learning approach for filtering Monte Carlo noise. - Nima Khademi Kalantari; Steve Bako; Pradeep Sen (ACM Trans. Graph., 2015)

Utilizing Machine Learning for Filtering General Monte Carlo Noise. - Nima Khademi Kalantari (2015)

Learning-based view synthesis for light field cameras. - Nima Khademi Kalantari; Ting-Chun Wang; Ravi Ramamoorthi (ACM Trans. Graph., 2016)

Patch-based optimization for image-based texture mapping. - Sai Bi; Nima Khademi Kalantari; Ravi Ramamoorthi (ACM Trans. Graph., 2017)

Deep high dynamic range imaging of dynamic scenes. - Nima Khademi Kalantari; Ravi Ramamoorthi (ACM Trans. Graph., 2017)

Light field video capture using a learning-based hybrid imaging system. - Ting-Chun Wang; Jun-Yan Zhu; Nima Khademi Kalantari; Alexei A. Efros; Ravi Ramamoorthi (ACM Trans. Graph., 2017)

Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition. - Sai Bi; Nima Khademi Kalantari; Ravi Ramamoorthi (EGSR (EI&I), 2018)

Deep Adaptive Sampling for Low Sample Count Rendering. - Alexandr Kuznetsov; Nima Khademi Kalantari; Ravi Ramamoorthi (Comput. Graph. Forum, 2018)

Deep HDR Video from Sequences with Alternating Exposures. - Nima Khademi Kalantari; Ravi Ramamoorthi (Comput. Graph. Forum, 2019)

Learning generative models for rendering specular microgeometry. - Alexandr Kuznetsov; Milos Hasan; Zexiang Xu; Ling-Qi Yan 001; Bruce Walter; Nima Khademi Kalantari; Steve Marschner; Ravi Ramamoorthi (ACM Trans. Graph., 2019)

Local light field fusion: practical view synthesis with prescriptive sampling guidelines. - Ben Mildenhall; Pratul P. Srinivasan; Rodrigo Ortiz Cayon; Nima Khademi Kalantari; Ravi Ramamoorthi; Ren Ng; Abhishek Kar (ACM Trans. Graph., 2019)

Deep Slow Motion Video Reconstruction With Hybrid Imaging System. - Avinash Paliwal; Nima Khademi Kalantari (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Synthesizing light field from a single image with variable MPI and two network fusion. - Qinbo Li; Nima Khademi Kalantari (ACM Trans. Graph., 2020)

Single image HDR reconstruction using a CNN with masked features and perceptual loss. - Marcel Santana Santos; Tsang Ing Ren; Nima Khademi Kalantari (ACM Trans. Graph., 2020)

Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask. - Avinash Paliwal; Libing Zeng; Nima Khademi Kalantari (ICCP, 2021)

Semantic-Aware Generative Approach for Image Inpainting. - Deepankar Chanda; Nima Khademi Kalantari (EGSR (DL), 2021)

Foveated Monte-Carlo Denoising. - Nicholas Milef; Nima K. Kalantari (SIGGRAPH Posters, 2021)

Adversarial Single-Image SVBRDF Estimation with Hybrid Training. - Xilong Zhou; Nima Khademi Kalantari (Comput. Graph. Forum, 2021)

TileGen: Tileable, Controllable Material Generation and Capture. - Xilong Zhou; Milos Hasan; Valentin Deschaintre; Paul Guerrero 001; Kalyan Sunkavalli; Nima Khademi Kalantari (SIGGRAPH Asia, 2022)

Differentiable Simulation of Inertial Musculotendons. - Ying Wang; Nima Khademi Kalantari; Shinjiro Sueda (CoRR, 2022)

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing. - Salah A. Faroughi; Nikhil M. Pawar; Célio Fernandes; Subasish Das; Nima K. Kalantari; Seyed Kourosh Mahjour (CoRR, 2022)

Differentiable Simulation of Inertial Musculotendons. - Ying Wang; Jasper Verheul; Sang Hoon Yeo; Nima Khademi Kalantari; Shinjiro Sueda (ACM Trans. Graph., 2022)

Look-Ahead Training with Learned Reflectance Loss for Single-Image SVBRDF Estimation. - Xilong Zhou; Nima Khademi Kalantari (ACM Trans. Graph., 2022)

Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates. - Avinash Paliwal; Andrii Tsarov; Nima Khademi Kalantari (CVPR, 2023)

3D-aware Facial Landmark Detection via Multi-view Consistent Training on Synthetic Data. - Libing Zeng; Lele Chen; Wentao Bao; Zhong Li; Yi Xu 002; Junsong Yuan 001; Nima K. Kalantari (CVPR, 2023)

PhotoMat: A Material Generator Learned from Single Flash Photos. - Xilong Zhou; Milos Hasan; Valentin Deschaintre; Paul Guerrero 001; Yannick Hold-Geoffroy; Kalyan Sunkavalli; Nima Khademi Kalantari (SIGGRAPH (Conference Paper Track), 2023)

MyStyle++: A Controllable Personalized Generative Prior. - Libing Zeng; Lele Chen; Yi Xu 002; Nima Khademi Kalantari (SIGGRAPH Asia, 2023)

Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding. - Pedro Figueirêdo; Avinash Paliwal; Nima Khademi Kalantari (WACV, 2023)

Test-Time Optimization for Video Depth Estimation Using Pseudo Reference Depth. - Libing Zeng; Nima Khademi Kalantari (Comput. Graph. Forum, 2023)

Variational Pose Prediction with Dynamic Sample Selection from Sparse Tracking Signals. - Nicholas Milef; Shinjiro Sueda; Nima Khademi Kalantari (Comput. Graph. Forum, 2023)

A Semi-Procedural Convolutional Material Prior. - Xilong Zhou; Milos Hasan; Valentin Deschaintre; Paul Guerrero 001; Kalyan Sunkavalli; Nima Khademi Kalantari (Comput. Graph. Forum, 2023)

ReShader: View-Dependent Highlights for Single Image View-Synthesis. - Avinash Paliwal; Brandon G. Nguyen; Andrii Tsarov; Nima Khademi Kalantari (ACM Trans. Graph., 2023)

CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians. - Avinash Paliwal; Wei Ye 008; Jinhui Xiong; Dmytro Kotovenko; Rakesh Ranjan; Vikas Chandra; Nima Khademi Kalantari (ECCV (30), 2024)

PanoDreamer: 3D Panorama Synthesis from a Single Image. - Avinash Paliwal; Xilong Zhou; Andrii Tsarov; Nima Khademi Kalantari (CoRR, 2024)

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics. - Salah A. Faroughi; Nikhil M. Pawar; Célio Fernandes; Maziar Raissi; Subasish Das; Nima K. Kalantari; Seyed Kourosh Mahjour (J. Comput. Inf. Sci. Eng., 2024)

Analyzing and Improving the Skin Tone Consistency and Bias in Implicit 3D Relightable Face Generators. - Libing Zeng; Nima Khademi Kalantari (WACV, 2025)

RI3D: Few-Shot Gaussian Splatting With Repair and Inpainting Diffusion Priors. - Avinash Paliwal; Xilong Zhou; Wei Ye 008; Jinhui Xiong; Rakesh Ranjan; Nima Khademi Kalantari (CoRR, 2025)

Neural Importance Sampling of Many Lights. - Pedro Figueirêdo; Qihao He; Steve Bako; Nima Khademi Kalantari (CoRR, 2025)

Neural Path Guiding with Distribution Factorization. - Pedro Figueirêdo; Qihao He; Nima Khademi Kalantari (CoRR, 2025)

Text2Stereo: Repurposing Stable Diffusion for Stereo Generation with Consistency Rewards. - Aakash Garg; Libing Zeng; Andrii Tsarov; Nima Khademi Kalantari (CoRR, 2025)