Numair Khan (original) (raw)

Numair Khan I am a research scientist at Meta Reality Labs in Redmond, Washington. I work on computer vision and machine learning for applications in computational photography. I completed my PhD at Brown where I was advised by James Tompkin. I received a Fulbright Scholarship for my Masters at the Courant Institute of New York University where my Master's thesis was advised by Ken Perlin. Email / Google Scholar profile photo
Your browser does not support the video tag. Geometry-guided Online 3D Video Synthesis with Multi-View Temporal Consistency Hyunho Ha,Lei Xiao,Christian Richardt,Thu Nguyen-Phuoc,Changil Kim,Min H. Kim, Douglas Lanman, Numair Khan, To appear at CVPR, 2025 arXiv /project page /bibtex We present real-time-capable method for streaming temporally-consistent 6-DoF video from multi-camera input.
Your browser does not support the video tag. GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis Yiqing Liang,Numair Khan,Zhenqin Li,Thu Nguyen-Phuoc, Douglas Lanman, James Tompkin,Lei Xiao WACV, 2025 arXiv /project page /code /bibtex We propose a method for dynamic scene reconstruction based on a deformable set of 3D Gaussians residing in a canonical space, and a time-dependent deformation field defined by a multi-layer perceptron (MLP)
Your browser does not support the video tag. ReplaceAnything3D: Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields Edward Bartrum,Thu Nguyen-Phuoc,Chris Xie,Zhenqin Li, Numair Khan, Armen Avetisyan, Douglas Lanman, Lei Xiao NeurIPS, 2024 arXiv /project page /bibtex We introduce a novel text-guided 3D scene editing method that enables the replacement of specific objects within a scene.
Your browser does not support the video tag. TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion Yu-Ying Yeh,Jia-Bin Huang,Changil Kim,Lei Xiao,Thu Nguyen-Phuoc,Numair Khan,Cheng Zhang,Manmohan Chandrakar,Carl Marshall,Zhao Dong,Zhenqin Li CVPR, 2024 arXiv /project page /bibtex We present a novel image-guided texture synthesis method to transfer relightable textures from a small number of input images to target 3D shapes across arbitrary categories.
Your browser does not support the video tag. Tiled Multiplane Images for Practical 3D Photography Numair Khan, Douglas Lanman,Lei Xiao ICCV, 2023 arXiv /code /bibtex We propose a method for generating tiled multiplane images with only a small number of adaptive depth planes for single-view 3D photography in the wild.
Your browser does not support the video tag. Temporally Consistent Online Depth Estimation Using Point-Based Fusion Numair Khan, Eric Penner, Douglas Lanman,Lei Xiao CVPR, 2023 arXiv /code /bibtex We aim to estimate temporally consistent depth maps of video streams in an online setting by using a global point cloud along with a learned fusion approach in image space.
Are Multi-view Edges Incomplete for Depth Estimation? Numair Khan,Min H. Kim, James Tompkin International Journal of Computer Vision (IJCV), 2023 paper /bibtex This work shows that multi-view edges can encode all relevant information for depth reconstruction. For this, we follow Elder’s complementary work on the completeness of 2D edges for image reconstruction.
Neural Fields in Visual Computing and Beyond Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan,Federico Tombari,James Tompkin,Vincent Sitzmann,Srinath Sridhar Eurographics State-of-the-Art Report, 2022 project page /website /arXiv We present a comprehensive review of neural fields by providing context, mathematical grounding, and an extensive literature review. A companion website contributes a living version that can be continually updated by the community.
Differentiable Diffusion for Dense Depth Estimation from Multi-View Images Numair Khan,Min H. Kim, James Tompkin CVPR, 2021 project page /code /arXiv /bibtex A method to estimate dense depth by optimizing a sparse set of points such that their diffusion into a depth map minimizes a multi-view reprojection error from RGB supervision.
Edge-Aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields Numair Khan,Min H. Kim, James Tompkin BMVC, 2021 arXiv /project page /code /bibtex We present an algorithm to estimate fast and accurate depth maps from light fields via a sparse set of depth edges and gradients.
Your browser does not support the video tag. View-Consistent 4D Light Field Depth Estimation Numair Khan,Min H. Kim, James Tompkin BMVC, 2020 arXiv /project page /code /bibtex We propose a method to compute depth maps for every sub-aperture image in a light field in a view-consistent way.
Your browser does not support the video tag. View-Consistent 4D Light Field Superpixel Segmentation Numair Khan,Qian Zhang, Lucas Kasser, Henry Stone,Min H. Kim, James Tompkin ICCV, 2019 (Oral Presentation) paper /code /bibtex We use occlusion-aware angular segmentation of an Epipolar Plane Image (EPI) to generate light field superpixels that are consistent across views.
Rethinking the Mini-Map: A Navigational Aid to Support Spatial Learning in Urban Game Environments Numair Khan,Anis Ur Rahman International Journal of Human-Computer Interaction (IJHCI), 2017 paper /bibtex We propose landmark-based verbal directions as an alternative to mini-maps, and examine the development of spatial knowledge in an open-world urban game environment.
Data Analysis and Call Prediction on Dyadic Data from an Understudied Population Mehwish Nasim, Aimal Rextin, Shumaila Hayat,Numair Khan, Mudassir Malik Pervasive and Mobile Computing, 2017 paper /bibtex Predicting outgoing mobile phone calls using machine learning and time clusters-based approaches.
Space-Efficient Pointwise Computation of the Distance Transform on GPUs Numair Khan, Mohamed Zahran International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017 paper /bibtex The distance transform is decomposed into a map-and-reduction pattern for efficient computation on GPUs.
Understanding Call Logs of Smartphone Users for Making Future Calls Mehwish Nasim, Aimal Rextin,Numair Khan, Mudassir Malik International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), 2016 paper /bibtex In this measurement study, we analyze whether mobile phone users exhibit temporal regularity in their mobile communication.

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