Ameesh Makadia

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All published works

Action	Title	Year	Authors
+ PDF Chat	Spectral Image Tokenizer	2024	Carlos Esteves Mohammed Suhail Ameesh Makadia
+ PDF Chat	Four-Plane Factorized Video Autoencoders	2024	Mohammed Suhail Carlos Esteves Leonid Sigal Ameesh Makadia
+ PDF Chat	ASIC: Aligning Sparse in-the-wild Image Collections	2023	Kamal Gupta Varun Jampani Carlos Esteves Abhinav Shrivastava Ameesh Makadia Noah Snavely Abhishek Kar
+ PDF Chat	Learning to Transform for Generalizable Instance-wise Invariance	2023	Utkarsh Singhal Carlos Esteves Ameesh Makadia Stella X. Yu
+ PDF Chat	LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs	2023	Zezhou Cheng Carlos Esteves Varun Jampani Abhishek Kar Subhransu Maji Ameesh Makadia
+ PDF Chat	Light Field Neural Rendering	2023	Mohammed Suhail Carlos Esteves Leonid Sigal Ameesh Makadia
+	ASIC: Aligning Sparse in-the-wild Image Collections	2023	Kamal Gupta Varun Jampani Carlos Esteves Abhinav Shrivastava Ameesh Makadia Noah Snavely Abhishek Kar
+	LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs	2023	Zezhou Cheng Carlos Esteves Varun Jampani Abhishek Kar Subhransu Maji Ameesh Makadia
+	Scaling Spherical CNNs	2023	Carlos Esteves Jean-Jacques Slotine Ameesh Makadia
+	NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations	2023	Varun Jampani Kevis-Kokitsi Maninis Andreas Engelhardt Arjun Karpur K. Q. D. Truong Kyle Sargent Stefan Popov André de Melo Araújo Ricardo Martin-Brualla Kaushal Patel
+	Learning to Transform for Generalizable Instance-wise Invariance	2023	Utkarsh Singhal Carlos Esteves Ameesh Makadia Stella X. Yu
+	Single Mesh Diffusion Models with Field Latents for Texture Generation	2023	Thomas W. Mitchel Carlos Esteves Ameesh Makadia
+ PDF Chat	Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision	2022	Kieran A. Murphy Varun Jampani Srikumar Ramalingam Ameesh Makadia
+ PDF Chat	Light Field Neural Rendering	2022	Mohammed Suhail Carlos Esteves Leonid Sigal Ameesh Makadia
+ PDF Chat	Stable Object Reorientation using Contact Plane Registration	2022	Richard Li Carlos Esteves Ameesh Makadia Pulkit Agrawal
+	Generalizable Patch-Based Neural Rendering	2022	Mohammed Suhail Carlos Esteves Leonid Sigal Ameesh Makadia
+ PDF Chat	Generalizable Patch-Based Neural Rendering	2022	Mohammed Suhail Carlos Esteves Leonid Sigal Ameesh Makadia
+ PDF Chat	Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image	2021	Andrew Liu Ameesh Makadia Richard P. Tucker Noah Snavely Varun Jampani Angjoo Kanazawa
+	Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold	2021	Kieran A. Murphy Carlos Esteves Varun Jampani Srikumar Ramalingam Ameesh Makadia
+ PDF Chat	De-rendering the World’s Revolutionary Artefacts	2021	Shangzhe Wu Ameesh Makadia Jiajun Wu Noah Snavely Richard Tucker Angjoo Kanazawa
+ PDF Chat	KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control	2021	Tomáš Jakab Richard Tucker Ameesh Makadia Jiajun Wu Noah Snavely Angjoo Kanazawa
+ PDF Chat	Wide-Baseline Relative Camera Pose Estimation with Directional Learning	2021	Kefan Chen Noah Snavely Ameesh Makadia
+ PDF Chat	KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control	2021	Tomáš Jakab Richard P. Tucker Ameesh Makadia Jiajun Wu Noah Snavely Angjoo Kanazawa
+	There and back again: Cycle consistency across sets for isolating factors of variation.	2021	Kieran A. Murphy Varun Jampani Srikumar Ramalingam Ameesh Makadia
+	Learn your ABCs: Approximate Bijective Correspondence for isolating factors of variation	2021	Kieran A. Murphy Varun Jampani Srikumar Ramalingam Ameesh Makadia
+	KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control	2021	Tomáš Jakab Richard Tucker Ameesh Makadia Jiajun Wu Noah Snavely Angjoo Kanazawa
+	Wide-Baseline Relative Camera Pose Estimation with Directional Learning	2021	Kefan Chen Noah Snavely Ameesh Makadia
+	De-rendering the World's Revolutionary Artefacts	2021	Shangzhe Wu Ameesh Makadia Jiajun Wu Noah Snavely Richard Tucker Angjoo Kanazawa
+	Light Field Neural Rendering	2021	Mohammed Suhail Carlos Esteves Leonid Sigal Ameesh Makadia
+	Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold	2021	Kieran J. Murphy Carlos Esteves Varun Jampani Srikumar Ramalingam Ameesh Makadia
+	Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision	2021	Kieran A. Murphy Varun Jampani Srikumar Ramalingam Ameesh Makadia
+	Spin-Weighted Spherical CNNs	2020	Carlos Esteves Ameesh Makadia Kostas Daniilidis
+ PDF Chat	Local Implicit Grid Representations for 3D Scenes	2020	Chiyu Jiang Avneesh Sud Ameesh Makadia Jingwei Huang Matthias NieBner Thomas Funkhouser
+	Time Dependence in Non-Autonomous Neural ODEs	2020	Jared Quincy Davis Krzysztof Choromański Jake Varley Honglak Lee Jean-Jacques Slotine Valerii Likhosterov Adrian Weller Ameesh Makadia Vikas Sindhwani
+	Local Implicit Grid Representations for 3D Scenes	2020	Chiyu Max Jiang Avneesh Sud Ameesh Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser
+	Time Dependence in Non-Autonomous Neural ODEs	2020	Jared Quincy Davis Krzysztof Choromański Jake Varley Honglak Lee Jean-Jacques Slotine Valerii Likhosterov Adrian Weller Ameesh Makadia Vikas Sindhwani
+	An Analysis of SVD for Deep Rotation Estimation	2020	Jake Levinson Carlos Esteves Kefan Chen Noah Snavely Angjoo Kanazawa Afshin Rostamizadeh Ameesh Makadia
+	Spin-Weighted Spherical CNNs	2020	Carlos Esteves Ameesh Makadia Kostas Daniilidis
+	Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image	2020	Andrew Liu Richard Tucker Varun Jampani Ameesh Makadia Noah Snavely Angjoo Kanazawa
+	Local Implicit Grid Representations for 3D Scenes	2020	Chiyu Max Jiang Avneesh Sud Ameesh Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser
+	Spin-Weighted Spherical CNNs	2020	Carlos Esteves Ameesh Makadia Kostas Daniilidis
+ PDF Chat	Learning SO(3) Equivariant Representations with Spherical CNNs	2019	Carlos Esteves Christine Allen-Blanchette Ameesh Makadia Kostas Daniilidis
+	Latent feature disentanglement for 3D meshes.	2019	Jake Levinson Avneesh Sud Ameesh Makadia
+	Latent feature disentanglement for 3D meshes	2019	Jake Levinson Avneesh Sud Ameesh Makadia
+	Cross-Domain 3D Equivariant Image Embeddings.	2018	Carlos Esteves Avneesh Sud Zhengyi Luo Kostas Daniilidis Ameesh Makadia
+ PDF Chat	Deformable Shape Completion with Graph Convolutional Autoencoders	2018	Or Litany Alex Bronstein Michael M. Bronstein Ameesh Makadia
+ PDF Chat	Learning SO(3) Equivariant Representations with Spherical CNNs	2018	Carlos Esteves Christine Allen-Blanchette Ameesh Makadia Kostas Daniilidis
+	Labeling Panoramas with Spherical Hourglass Networks	2018	Carlos Esteves Kostas Daniilidis Ameesh Makadia
+	Cross-Domain 3D Equivariant Image Embeddings	2018	Carlos Esteves Avneesh Sud Zhengyi Luo Kostas Daniilidis Ameesh Makadia
+	Geometry of 3D Environments and Sum of Squares Polynomials	2017	Amir Ali Ahmadi Georgina Hall Ameesh Makadia Vikas Sindhwani
+	Learning SO(3) Equivariant Representations with Spherical CNNs	2017	Carlos Esteves Christine Allen-Blanchette Ameesh Makadia Kostas Daniilidis
+	Deformable Shape Completion with Graph Convolutional Autoencoders	2017	Or Litany Alex Bronstein Michael M. Bronstein Ameesh Makadia
+	Geometry of 3D Environments and Sum of Squares Polynomials	2016	Amir Ali Ahmadi Georgina Hall Ameesh Makadia Vikas Sindhwani
+	Geometry of 3D Environments and Sum of Squares Polynomials	2016	Amir Ali Ahmadi Georgina Hall Ameesh Makadia Vikas Sindhwani
+	Correspondenceless Structure from Motion	2007	Ameesh Makadia Christopher Geyer Kostas Daniilidis

Common Coauthors

Coauthor	Papers Together
Carlos Esteves	28
Varun Jampani	13
Noah Snavely	12
Kostas Daniilidis	10
Angjoo Kanazawa	8
Avneesh Sud	7
Srikumar Ramalingam	6
Leonid Sigal	6
Mohammed Suhail	5
Kieran A. Murphy	5
Vikas Sindhwani	5
Richard Tucker	5
Jiajun Wu	5
Abhishek Kar	4
Jake Levinson	3
Christine Allen-Blanchette	3
Jean-Jacques Slotine	3
Jingwei Huang	3
Thomas Funkhouser	3
Tomáš Jakab	3
Georgina Hall	3
Honglak Lee	2
Or Litany	2
Amir Ali Ahmadi	2
Alex Bronstein	2
Mohammed Suhail	2
Richard P. Tucker	2
Kamal Gupta	2
Valerii Likhosterov	2
Chiyu Max Jiang	2
Utkarsh Singhal	2
Jake Varley	2
Zezhou Cheng	2
Kefan Chen	2
Krzysztof Choromański	2
Michael M. Bronstein	2
Stella X. Yu	2
Matthias Nießner	2
Adrian Weller	2
Andrew Liu	2
Shangzhe Wu	2
Jared Quincy Davis	2
Subhransu Maji	2
Abhinav Shrivastava	2
Zhengyi Luo	1
Ricardo Martin-Brualla	1
Stefan Popov	1
Zhengyi Luo	1
Kevis-Kokitsi Maninis	1
Howard Zhou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	9
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	7
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	6
+ PDF Chat	Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views	2015	Hao Su Charles R. Qi Yangyan Li Leonidas Guibas	5
+ PDF Chat	Geodesic Convolutional Neural Networks on Riemannian Manifolds	2015	Jonathan Masci Davide Boscaini Michael M. Bronstein Pierre Vandergheynst	5
+	Spherical CNNs	2018	Taco Cohen Mario Geiger Jonas Koehler Max Welling	4
+ PDF Chat	RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints	2018	Asako Kanezaki Yasuyuki Matsushita Yoshifumi Nishida	4
+	Computing Fourier Transforms and Convolutions on the 2-Sphere	1994	James R. Driscoll D.M. Healy	4
+ PDF Chat	DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation	2019	Jeong Joon Park Pete Florence Julian Straub Richard Newcombe Steven Lovegrove	4
+ PDF Chat	Occupancy Networks: Learning 3D Reconstruction in Function Space	2019	Lars Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger	4
+ PDF Chat	Self-Supervised Learning of Pretext-Invariant Representations	2020	Ishan Misra Laurens van der Maaten	4
+	Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations	2019	Vincent Sitzmann Michael Zollhöfer Gordon Wetzstein	4
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	4
+ PDF Chat	NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis	2020	Ben Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron Ravi Ramamoorthi Ren Ng	4
+	Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis	2016	Shuicheng Yan Scott Reed Ming–Hsuan Yang Honglak Lee	4
+ PDF Chat	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images	2018	Martin Sundermeyer Zoltán-Csaba Márton Maximilian Durner Manuel Brucker Rudolph Triebel	4
+ PDF Chat	Harmonic Networks: Deep Translation and Rotation Equivariance	2017	Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel Brostow	4
+ PDF Chat	Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres	2019	Shuai Liao Efstratios Gavves Cees G. M. Snoek	4
+	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling	2016	Jiajun Wu Chengkai Zhang Tianfan Xue William T. Freeman Joshua B. Tenenbaum	4
+ PDF Chat	Viewpoints and keypoints	2015	Shubham Tulsiani Jitendra Malik	4
+ PDF Chat	3D Pose Regression Using Convolutional Neural Networks	2017	Siddharth Mahendran Haider Ali René Vidal	4
+ PDF Chat	Unsupervised Learning of Landmarks by Descriptor Vector Exchange	2019	James Thewlis Samuel Albanie Hakan Bilen Andrea Vedaldi	3
+ PDF Chat	Dynamic Graph CNN for Learning on Point Clouds	2019	Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma Michael M. Bronstein Justin Solomon	3
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	3
+ PDF Chat	Semantic Scene Completion from a Single Depth Image	2017	Shuran Song Fisher Yu Andy Zeng Anne Lynn S. Chang Manolis Savva Thomas Funkhouser	3
+ PDF Chat	Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs	2017	Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda Michael M. Bronstein	3
+ PDF Chat	Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis	2017	Angela Dai Charles R. Qi Matthias NieBner	3
+ PDF Chat	3D Bounding Box Estimation Using Deep Learning and Geometry	2017	Arsalan Mousavian Dragomir Anguelov John P. Flynn Jana Košecká	3
+	Best-Buddies Similarity—Robust Template Matching Using Mutual Nearest Neighbors	2017	Shaul Oron Tali Dekel Tianfan Xue William T. Freeman Shai Avidan	3
+ PDF Chat	Learning Shape Templates With Structured Implicit Functions	2019	Kyle Genova Forrester Cole Daniel Vlasic Aaron Sarna William T. Freeman Thomas Funkhouser	3
+ PDF Chat	Geometric Deep Learning: Going beyond Euclidean data	2017	Michael M. Bronstein Joan Bruna Yann LeCun Arthur Szlam Pierre Vandergheynst	3
+ PDF Chat	SuperGlue: Learning Feature Matching With Graph Neural Networks	2020	Paul-Edouard Sarlin Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich	3
+ PDF Chat	Deep Directional Statistics: Pose Estimation with Uncertainty Quantification	2018	Sergey Prokudin Peter Gehler Sebastian Nowozin	3
+ PDF Chat	Learning Category-Specific Mesh Reconstruction from Image Collections	2018	Angjoo Kanazawa Shubham Tulsiani Alexei A. Efros Jitendra Malik	3
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas	3
+ PDF Chat	Learning Implicit Fields for Generative Shape Modeling	2019	Zhiqin Chen Hao Zhang	3
+	A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images	2018	Siddharth Mahendran Haider Ali René Vidal	3
+	Spherical CNNs on Unstructured Grids	2019	Chiyu Max Jiang Jingwei Huang Karthik Kashinath Prabhat Philip Marcus Matthias Nießner	3
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	3
+ PDF Chat	On the Continuity of Rotation Representations in Neural Networks	2019	Yi Zhou Connelly Barnes Jingwan Lu Shuicheng Yan Hao Li	3
+ PDF Chat	Exploring Disentangled Feature Representation Beyond Face Identification	2018	Yu Liu Fangyin Wei Jing Shao Lu Sheng Junjie Yan Xiaogang Wang	3
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	3
+	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations	2018	Francesco Locatello Stefan Bauer Mario Lučić Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem	3
+	Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning	2018	Supasorn Suwajanakorn Noah Snavely Jonathan Tompson Mohammad Norouzi	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+	Transformation Properties of Learned Visual Representations	2015	Taco Cohen Max Welling	3
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	3
+ PDF Chat	Shape, Illumination, and Reflectance from Shading	2014	Jonathan T. Barron Jitendra Malik	3
+ PDF Chat	Learning SO(3) Equivariant Representations with Spherical CNNs	2018	Carlos Esteves Christine Allen-Blanchette Ameesh Makadia Kostas Daniilidis	3
+ PDF Chat	Multi-view Convolutional Neural Networks for 3D Shape Recognition	2015	Hang Su Subhransu Maji Evangelos Kalogerakis Erik Learned-Miller	3