Direct 3D-Rotation Estimation from Spherical Images via a Generalized Shift Theorem. - Ameesh Makadia; Kostas Daniilidis (CVPR (2), 2003)

Omnidirectional Sensing for Robot Control. - Kostas Daniilidis; Christopher Geyer; Volkan Isler; Ameesh Makadia (Control Problems in Robotics, 2003)

Rotation Estimation from Spherical Images. - Ameesh Makadia; Lorenzo Sorgi; Kostas Daniilidis (ICPR (3), 2004)

Radon-Based Structure from Motion without Correspondences. - Ameesh Makadia; Christopher Geyer; Shankar Sastry 001; Kostas Daniilidis (CVPR (1), 2005)

Correspondenceless Ego-Motion Estimation Using an IMU. - Ameesh Makadia; Kostas Daniilidis (ICRA, 2005)

Planar Ego-Motion Without Correspondences. - Ameesh Makadia; Dinkar Gupta; Kostas Daniilidis (WACV/MOTION, 2005)

Fully Automatic Registration of 3D Point Clouds. - Ameesh Makadia; Alexander Patterson; Kostas Daniilidis (CVPR (1), 2006)

Rotation Recovery from Spherical Images without Correspondences. - Ameesh Makadia; Kostas Daniilidis (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Correspondence-free Structure from Motion. - Ameesh Makadia; Christopher Geyer; Kostas Daniilidis (Int. J. Comput. Vis., 2007)

A New Baseline for Image Annotation. - Ameesh Makadia; Vladimir Pavlovic 001; Sanjiv Kumar (ECCV (3), 2008)

Shape-based object recognition in videos using 3D synthetic object models. - Alexander Toshev; Ameesh Makadia; Kostas Daniilidis (CVPR, 2009)

Feature Tracking for Wide-Baseline Image Retrieval. - Ameesh Makadia (ECCV (5), 2010)

Spherical Correlation of Visual Representations for 3D Model Retrieval. - Ameesh Makadia; Kostas Daniilidis (Int. J. Comput. Vis., 2010)

Baselines for Image Annotation. - Ameesh Makadia; Vladimir Pavlovic 001; Sanjiv Kumar (Int. J. Comput. Vis., 2010)

Label Partitioning For Sublinear Ranking. - Jason Weston; Ameesh Makadia; Hector Yee (ICML (2), 2013)

Learning 3D Part Detection from Sparsely Labeled Data. - Ameesh Makadia; Mehmet Ersin Yümer 001 (3DV, 2014)

Co-segmentation of Textured 3D Shapes with Sparse Annotations. - Mehmet Ersin Yümer 001; Won Chun; Ameesh Makadia (CVPR, 2014)

Geometry of 3D Environments and Sum of Squares Polynomials. - Amir Ali Ahmadi; Georgina Hall; Ameesh Makadia; Vikas Sindhwani (Robotics: Science and Systems, 2017)

3D object classification and retrieval with Spherical CNNs. - Carlos Esteves; Christine Allen-Blanchette; Ameesh Makadia; Kostas Daniilidis (CoRR, 2017)

Deformable Shape Completion With Graph Convolutional Autoencoders. - Or Litany; Alexander M. Bronstein; Michael M. Bronstein; Ameesh Makadia (CVPR, 2018)

Labeling Panoramas with Spherical Hourglass Networks. - Carlos Esteves; Kostas Daniilidis; Ameesh Makadia (CoRR, 2018)

Cross-Domain 3D Equivariant Image Embeddings. - Carlos Esteves; Avneesh Sud; Zhengyi Luo 002; Kostas Daniilidis; Ameesh Makadia (ICML, 2019)

Latent feature disentanglement for 3D meshes. - Jake Levinson; Avneesh Sud; Ameesh Makadia (CoRR, 2019)

Local Implicit Grid Representations for 3D Scenes. - Chiyu Max Jiang; Avneesh Sud; Ameesh Makadia; Jingwei Huang 001; Matthias Nießner; Thomas A. Funkhouser (CVPR, 2020)

NBVC: A Benchmark for Depth Estimation from Narrow-Baseline Video Clips. - Philippos Mordohai; Konstantinos Batsos; Ameesh Makadia; Noah Snavely (IROS, 2020)

Spin-Weighted Spherical CNNs. - Carlos Esteves; Ameesh Makadia; Kostas Daniilidis (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)

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

Learning SO(3) Equivariant Representations with Spherical CNNs. - Carlos Esteves; Christine Allen-Blanchette; Ameesh Makadia; Kostas Daniilidis (Int. J. Comput. Vis., 2020)

Wide-Baseline Relative Camera Pose Estimation With Directional Learning. - Kefan Chen; Noah Snavely; Ameesh Makadia (CVPR, 2021)

KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. - Tomas Jakab; Richard Tucker 001; Ameesh Makadia; Jiajun Wu 001; Noah Snavely; Angjoo Kanazawa (CVPR, 2021)

De-Rendering the World's Revolutionary Artefacts. - Shangzhe Wu; Ameesh Makadia; Jiajun Wu 001; Noah Snavely; Richard Tucker 001; Angjoo Kanazawa (CVPR, 2021)

Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. - Andrew Liu 001; Ameesh Makadia; Richard Tucker 001; Noah Snavely; Varun Jampani; Angjoo Kanazawa (ICCV, 2021)

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

There and back again: Cycle consistency across sets for isolating factors of variation. - Kieran A. Murphy; Varun Jampani; Srikumar Ramalingam; Ameesh Makadia (CoRR, 2021)

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, 2022)

Generalizable Patch-Based Neural Rendering. - Mohammed Suhail; Carlos Esteves; Leonid Sigal; Ameesh Makadia (ECCV (32), 2022)

Stable Object Reorientation using Contact Plane Registration. - Richard Li; Carlos Esteves; Ameesh Makadia; Pulkit Agrawal 001 (ICRA, 2022)

ASIC: Aligning Sparse in-the-wild Image Collections. - Kamal Gupta 002; 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 (ICCV, 2023)

Scaling Spherical CNNs. - Carlos Esteves; Jean-Jacques E. Slotine; Ameesh Makadia (ICML, 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; André Araújo 001; Ricardo Martin-Brualla; Kaushal Patel; Daniel Vlasic; Vittorio Ferrari; et al. (NeurIPS, 2023)

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

Four-Plane Factorized Video Autoencoders. - Mohammed Suhail; Carlos Esteves; Leonid Sigal; Ameesh Makadia (CoRR, 2024)

Spectral Image Tokenizer. - Carlos Esteves; Mohammed Suhail; Ameesh Makadia (CoRR, 2024)