Ameesh Makadia

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 48

Top Topics

Pose Estimation

Image Collections

Deformable Shapes

Top Venues

Publications

Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
Learning to Transform for Generalizable Instance-wise Invariance. ICCV (2023)
Carlos Esteves, Jean-Jacques E. Slotine, Ameesh Makadia
Scaling Spherical CNNs. CoRR (2023)
Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar
ASIC: Aligning Sparse in-the-wild Image Collections. CoRR (2023)
Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia
Single Mesh Diffusion Models with Field Latents for Texture Generation. CoRR (2023)
Carlos Esteves, Jean-Jacques E. Slotine, Ameesh Makadia
Scaling Spherical CNNs. ICML (2023)
Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. ICCV (2023)
Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. CoRR (2023)
Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araujo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. CoRR (2023)
Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar
ASIC: Aligning Sparse in-the-wild Image Collections. ICCV (2023)
Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
Learning to Transform for Generalizable Instance-wise Invariance. CoRR (2023)
Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. NeurIPS (2023)
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
Generalizable Patch-Based Neural Rendering. ECCV (32) (2022)
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
Generalizable Patch-Based Neural Rendering. CoRR (2022)
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
Light Field Neural Rendering. CVPR (2022)
Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal
Stable Object Reorientation using Contact Plane Registration. CoRR (2022)
Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision. CVPR (2022)
Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal
Stable Object Reorientation using Contact Plane Registration. ICRA (2022)
Kefan Chen, Noah Snavely, Ameesh Makadia
Wide-Baseline Relative Camera Pose Estimation With Directional Learning. CVPR (2021)
Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold. ICML (2021)
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
De-rendering the World's Revolutionary Artefacts. CoRR (2021)
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
De-Rendering the World's Revolutionary Artefacts. CVPR (2021)
Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
There and back again: Cycle consistency across sets for isolating factors of variation. CoRR (2021)
Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold. CoRR (2021)
Andrew Liu, Ameesh Makadia, Richard Tucker, Noah Snavely, Varun Jampani, Angjoo Kanazawa
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. ICCV (2021)
Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CoRR (2021)
Kefan Chen, Noah Snavely, Ameesh Makadia
Wide-Baseline Relative Camera Pose Estimation with Directional Learning. CoRR (2021)
Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CVPR (2021)
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
Light Field Neural Rendering. CoRR (2021)
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis
Learning SO(3) Equivariant Representations with Spherical CNNs. Int. J. Comput. Vis. 128 (3) (2020)
Philippos Mordohai, Konstantinos Batsos, Ameesh Makadia, Noah Snavely
NBVC: A Benchmark for Depth Estimation from Narrow-Baseline Video Clips. IROS (2020)
Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser
Local Implicit Grid Representations for 3D Scenes. CoRR (2020)
Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. CoRR (2020)
Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia
An Analysis of SVD for Deep Rotation Estimation. CoRR (2020)
Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser
Local Implicit Grid Representations for 3D Scenes. CVPR (2020)
Carlos Esteves, Ameesh Makadia, Kostas Daniilidis
Spin-Weighted Spherical CNNs. NeurIPS (2020)
Carlos Esteves, Ameesh Makadia, Kostas Daniilidis
Spin-Weighted Spherical CNNs. CoRR (2020)
Jared Quincy Davis, Krzysztof Choromanski, Jake Varley, Honglak Lee, Jean-Jacques E. Slotine, Valerii Likhosterov, Adrian Weller, Ameesh Makadia, Vikas Sindhwani
Time Dependence in Non-Autonomous Neural ODEs. CoRR (2020)
Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia
An Analysis of SVD for Deep Rotation Estimation. NeurIPS (2020)
Jake Levinson, Avneesh Sud, Ameesh Makadia
Latent feature disentanglement for 3D meshes. CoRR (2019)
Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia
Cross-Domain 3D Equivariant Image Embeddings. ICML (2019)
Carlos Esteves, Kostas Daniilidis, Ameesh Makadia
Labeling Panoramas with Spherical Hourglass Networks. CoRR (2018)
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis
Learning SO(3) Equivariant Representations with Spherical CNNs. ECCV (13) (2018)
Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia
Deformable Shape Completion With Graph Convolutional Autoencoders. CVPR (2018)
Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia
Cross-Domain 3D Equivariant Image Embeddings. CoRR (2018)
Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia
Deformable Shape Completion with Graph Convolutional Autoencoders. CoRR (2017)
Amir Ali Ahmadi, Georgina Hall, Ameesh Makadia, Vikas Sindhwani
Geometry of 3D Environments and Sum of Squares Polynomials. Robotics: Science and Systems (2017)
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis
3D object classification and retrieval with Spherical CNNs. CoRR (2017)
Amir Ali Ahmadi, Georgina Hall, Ameesh Makadia, Vikas Sindhwani
Geometry of 3D Environments and Sum of Squares Polynomials. CoRR (2016)
Mehmet Ersin Yümer, Won Chun, Ameesh Makadia
Co-segmentation of Textured 3D Shapes with Sparse Annotations. CVPR (2014)
Ameesh Makadia, Mehmet Ersin Yümer
Learning 3D Part Detection from Sparsely Labeled Data. 3DV (2014)
Jason Weston, Ameesh Makadia, Hector Yee
Label Partitioning For Sublinear Ranking. ICML (2) (2013)
Ameesh Makadia, Kostas Daniilidis
Spherical Correlation of Visual Representations for 3D Model Retrieval. Int. J. Comput. Vis. 89 (2-3) (2010)
Ameesh Makadia
Feature Tracking for Wide-Baseline Image Retrieval. ECCV (5) (2010)
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
Baselines for Image Annotation. Int. J. Comput. Vis. 90 (1) (2010)
Alexander Toshev, Ameesh Makadia, Kostas Daniilidis
Shape-based object recognition in videos using 3D synthetic object models. CVPR (2009)
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
A New Baseline for Image Annotation. ECCV (3) (2008)
Ameesh Makadia, Christopher Geyer, Kostas Daniilidis
Correspondence-free Structure from Motion. Int. J. Comput. Vis. 75 (3) (2007)
Ameesh Makadia, Alexander Patterson, Kostas Daniilidis
Fully Automatic Registration of 3D Point Clouds. CVPR (1) (2006)
Ameesh Makadia, Kostas Daniilidis
Rotation Recovery from Spherical Images without Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 28 (7) (2006)
Ameesh Makadia, Dinkar Gupta, Kostas Daniilidis
Planar Ego-Motion Without Correspondences. WACV/MOTION (2005)
Ameesh Makadia, Christopher Geyer, Shankar Sastry, Kostas Daniilidis
Radon-Based Structure from Motion without Correspondences. CVPR (1) (2005)
Ameesh Makadia, Kostas Daniilidis
Correspondenceless Ego-Motion Estimation Using an IMU. ICRA (2005)
Ameesh Makadia, Lorenzo Sorgi, Kostas Daniilidis
Rotation Estimation from Spherical Images. ICPR (3) (2004)
Ameesh Makadia, Kostas Daniilidis
Direct 3D-Rotation Estimation from Spherical Images via a Generalized Shift Theorem. CVPR (2) (2003)