Ameesh Makadia

71 papers A* 22A 1Journal 35Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decomposing Private Image Generation via Coarse-to-Fine Wavelet Modeling.
CoRR
Jasmine Bayrooti, Weiwei Kong, Natalia Ponomareva, Carlos Esteves, Ameesh Makadia, Amanda Prorok
2026 J jnl
Spectrally-Guided Diffusion Noise Schedules.
CoRR
Carlos Esteves, Ameesh Makadia
2025 J jnl
Light Field Neural Rendering.
IEEE Trans. Pattern Anal. Mach. Intell.
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2024 J jnl
Four-Plane Factorized Video Autoencoders.
CoRR
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2024 A* conf
Single Mesh Diffusion Models with Field Latents for Texture Generation.
CVPR
Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia
2024 J jnl
Spectral Image Tokenizer.
CoRR
Carlos Esteves, Mohammed Suhail, Ameesh Makadia
2023 A* conf
ASIC: Aligning Sparse in-the-wild Image Collections.
ICCV
Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar
2023 J jnl
ASIC: Aligning Sparse in-the-wild Image Collections.
CoRR
Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar
2023 A* conf
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs.
ICCV
Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia
2023 J jnl
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs.
CoRR
Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia
2023 A* conf
Learning to Transform for Generalizable Instance-wise Invariance.
ICCV
Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
2023 J jnl
Learning to Transform for Generalizable Instance-wise Invariance.
CoRR
Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
2023 A* conf
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations.
NeurIPS
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
2023 J jnl
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations.
CoRR
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
2023 A* conf
Scaling Spherical CNNs.
ICML
Carlos Esteves, Jean-Jacques E. Slotine, Ameesh Makadia
2023 J jnl
Scaling Spherical CNNs.
CoRR
Carlos Esteves, Jean-Jacques E. Slotine, Ameesh Makadia
2023 J jnl
Single Mesh Diffusion Models with Field Latents for Texture Generation.
CoRR
Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia
2022 — conf
Generalizable Patch-Based Neural Rendering.
ECCV (32)
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2022 J jnl
Generalizable Patch-Based Neural Rendering.
CoRR
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2022 A* conf
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision.
CVPR
Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
2022 A* conf
Light Field Neural Rendering.
CVPR
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2022 A* conf
Stable Object Reorientation using Contact Plane Registration.
ICRA
Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal
2022 J jnl
Stable Object Reorientation using Contact Plane Registration.
CoRR
Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal
2021 A* conf
De-Rendering the World's Revolutionary Artefacts.
CVPR
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
2021 J jnl
De-rendering the World's Revolutionary Artefacts.
CoRR
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
2021 A* conf
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold.
ICML
Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
2021 J jnl
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold.
CoRR
Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
2021 A* conf
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image.
ICCV
Andrew Liu, Ameesh Makadia, Richard Tucker, Noah Snavely, Varun Jampani, Angjoo Kanazawa
2021 A* conf
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control.
CVPR
Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa
2021 J jnl
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control.
CoRR
Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa
2021 J jnl
Light Field Neural Rendering.
CoRR
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2021 J jnl
There and back again: Cycle consistency across sets for isolating factors of variation.
CoRR
Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
2021 A* conf
Wide-Baseline Relative Camera Pose Estimation With Directional Learning.
CVPR
Kefan Chen, Noah Snavely, Ameesh Makadia
2021 J jnl
Wide-Baseline Relative Camera Pose Estimation with Directional Learning.
CoRR
Kefan Chen, Noah Snavely, Ameesh Makadia
2020 A* conf
An Analysis of SVD for Deep Rotation Estimation.
NeurIPS
Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia
2020 J jnl
An Analysis of SVD for Deep Rotation Estimation.
CoRR
Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia
2020 J jnl
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image.
CoRR
Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa
2020 J jnl
Learning SO(3) Equivariant Representations with Spherical CNNs.
Int. J. Comput. Vis.
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis
2020 A* conf
Local Implicit Grid Representations for 3D Scenes.
CVPR
Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser
2020 J jnl
Local Implicit Grid Representations for 3D Scenes.
CoRR
Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser
2020 A conf
NBVC: A Benchmark for Depth Estimation from Narrow-Baseline Video Clips.
IROS
Philippos Mordohai, Konstantinos Batsos, Ameesh Makadia, Noah Snavely
2020 A* conf
Spin-Weighted Spherical CNNs.
NeurIPS
Carlos Esteves, Ameesh Makadia, Kostas Daniilidis
2020 J jnl
Spin-Weighted Spherical CNNs.
CoRR
Carlos Esteves, Ameesh Makadia, Kostas Daniilidis
2020 J jnl
Time Dependence in Non-Autonomous Neural ODEs.
CoRR
Jared Quincy Davis, Krzysztof Choromanski, Jake Varley, Honglak Lee, Jean-Jacques E. Slotine, Valerii Likhosterov, Adrian Weller, Ameesh Makadia, Vikas Sindhwani
2019 A* conf
Cross-Domain 3D Equivariant Image Embeddings.
ICML
Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia
2019 J jnl
Latent feature disentanglement for 3D meshes.
CoRR
Jake Levinson, Avneesh Sud, Ameesh Makadia
2018 J jnl
Cross-Domain 3D Equivariant Image Embeddings.
CoRR
Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia
2018 A* conf
Deformable Shape Completion With Graph Convolutional Autoencoders.
CVPR
Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia
2018 J jnl
Labeling Panoramas with Spherical Hourglass Networks.
CoRR
Carlos Esteves, Kostas Daniilidis, Ameesh Makadia
2018 — conf
Learning SO(3) Equivariant Representations with Spherical CNNs.
ECCV (13)
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis
2017 J jnl
3D object classification and retrieval with Spherical CNNs.
CoRR
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis
2017 J jnl
Deformable Shape Completion with Graph Convolutional Autoencoders.
CoRR
Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia
2017 — conf
Geometry of 3D Environments and Sum of Squares Polynomials.
Robotics: Science and Systems
Amir Ali Ahmadi, Georgina Hall, Ameesh Makadia, Vikas Sindhwani
2016 J jnl
Geometry of 3D Environments and Sum of Squares Polynomials.
CoRR
Amir Ali Ahmadi, Georgina Hall, Ameesh Makadia, Vikas Sindhwani
2014 A* conf
Co-segmentation of Textured 3D Shapes with Sparse Annotations.
CVPR
Mehmet Ersin Yümer, Won Chun, Ameesh Makadia
2014 — conf
Learning 3D Part Detection from Sparsely Labeled Data.
3DV
Ameesh Makadia, Mehmet Ersin Yümer
2013 — conf
Label Partitioning For Sublinear Ranking.
ICML (2)
Jason Weston, Ameesh Makadia, Hector Yee
2010 J jnl
Baselines for Image Annotation.
Int. J. Comput. Vis.
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
2010 — conf
Feature Tracking for Wide-Baseline Image Retrieval.
ECCV (5)
Ameesh Makadia
2010 J jnl
Spherical Correlation of Visual Representations for 3D Model Retrieval.
Int. J. Comput. Vis.
Ameesh Makadia, Kostas Daniilidis
2009 A* conf
Shape-based object recognition in videos using 3D synthetic object models.
CVPR
Alexander Toshev, Ameesh Makadia, Kostas Daniilidis
2008 — conf
A New Baseline for Image Annotation.
ECCV (3)
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
2007 J jnl
Correspondence-free Structure from Motion.
Int. J. Comput. Vis.
Ameesh Makadia, Christopher Geyer, Kostas Daniilidis
2006 — conf
Fully Automatic Registration of 3D Point Clouds.
CVPR (1)
Ameesh Makadia, Alexander Patterson, Kostas Daniilidis
2006 J jnl
Rotation Recovery from Spherical Images without Correspondences.
IEEE Trans. Pattern Anal. Mach. Intell.
Ameesh Makadia, Kostas Daniilidis
2005 A* conf
Correspondenceless Ego-Motion Estimation Using an IMU.
ICRA
Ameesh Makadia, Kostas Daniilidis
2005 — conf
Planar Ego-Motion Without Correspondences.
WACV/MOTION
Ameesh Makadia, Dinkar Gupta, Kostas Daniilidis
2005 — conf
Radon-Based Structure from Motion without Correspondences.
CVPR (1)
Ameesh Makadia, Christopher Geyer, Shankar Sastry, Kostas Daniilidis
2004 — conf
Rotation Estimation from Spherical Images.
ICPR (3)
Ameesh Makadia, Lorenzo Sorgi, Kostas Daniilidis
2003 — conf
Direct 3D-Rotation Estimation from Spherical Images via a Generalized Shift Theorem.
CVPR (2)
Ameesh Makadia, Kostas Daniilidis
2003 — ch.
Omnidirectional Sensing for Robot Control.
Control Problems in Robotics
Kostas Daniilidis, Christopher Geyer, Volkan Isler, Ameesh Makadia