Makadia, Ameesh

28 publications

ICCV 2025 Spectral Image Tokenizer Carlos Esteves, Mohammed Suhail, Ameesh Makadia

CVPR 2024 Single Mesh Diffusion Models with Field Latents for Texture Generation Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia

ICCV 2023 ASIC: Aligning Sparse In-the-Wild Image Collections Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar

ICCV 2023 LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia

ICCV 2023 Learning to Transform for Generalizable Instance-Wise Invariance Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu

NeurIPS 2023 NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations Varun Jampani, Kevis-kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, Andre Araujo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou

ICML 2023 Scaling Spherical CNNs Carlos Esteves, Jean-Jacques Slotine, Ameesh Makadia

ECCV 2022 Generalizable Patch-Based Neural Rendering Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia

CVPR 2022 Learning ABCs: Approximate Bijective Correspondence for Isolating Factors of Variation with Weak Supervision Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia

CVPR 2022 Light Field Neural Rendering Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia

CVPR 2021 De-Rendering the World's Revolutionary Artefacts Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa

ICML 2021 Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold Kieran A Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia

ICCV 2021 Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa

CVPR 2021 KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa

CVPR 2021 Wide-Baseline Relative Camera Pose Estimation with Directional Learning Kefan Chen, Noah Snavely, Ameesh Makadia

NeurIPS 2020 An Analysis of SVD for Deep Rotation Estimation Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia

NeurIPS 2020 Spin-Weighted Spherical CNNs Carlos Esteves, Ameesh Makadia, Kostas Daniilidis

ICLRW 2020 Time Dependence in Non-Autonomous Neural ODEs Jared Quincy Davis, Krzysztof Choromanski, Vikas Sindhwani, Jake Varley, Honglak Lee, Jean-Jacques Slotine, Valerii Likhosterov, Adrian Weller, Ameesh Makadia

ICML 2019 Cross-Domain 3D Equivariant Image Embeddings Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia

ECCV 2018 Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis

CVPR 2014 Co-Segmentation of Textured 3D Shapes with Sparse Annotations Mehmet Ersin Yumer, Won Chun, Ameesh Makadia

ICML 2013 Label Partitioning for Sublinear Ranking Jason Weston, Ameesh Makadia, Hector Yee

ECCV 2010 Feature Tracking for Wide-Baseline Image Retrieval Ameesh Makadia

CVPR 2009 Shape-Based Object Recognition in Videos Using 3D Synthetic Object Models Alexander Toshev, Ameesh Makadia, Kostas Daniilidis

ECCV 2008 A New Baseline for Image Annotation Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar

CVPR 2006 Fully Automatic Registration of 3D Point Clouds Ameesh Makadia, Alexander Patterson, Kostas Daniilidis

CVPR 2005 Radon-Based Structure from Motion Without Correspondences Ameesh Makadia, Christopher Geyer, Shankar Sastry, Kostas Daniilidis

CVPR 2003 Direct 3D-Rotation Estimation from Spherical Images via a Generalized Shift Theorem Ameesh Makadia, Kostas Daniilidis