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2020 – today
- 2024
[c35]Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia:
Single Mesh Diffusion Models with Field Latents for Texture Generation. CVPR 2024: 7953-7963- 2023
- [c34]Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar:
ASIC: Aligning Sparse in-the-wild Image Collections. ICCV 2023: 4111-4122 - [c33]Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu:
Learning to Transform for Generalizable Instance-wise Invariance. ICCV 2023: 6188-6198 - [c32]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: 18266-18275 - [c31]Carlos Esteves, Jean-Jacques E. Slotine, Ameesh Makadia:
Scaling Spherical CNNs. ICML 2023: 9396-9411 - [c30]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 - [i25]Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar:
ASIC: Aligning Sparse in-the-wild Image Collections. CoRR abs/2303.16201 (2023) - [i24]Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia:
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. CoRR abs/2306.05410 (2023) - [i23]Carlos Esteves, Jean-Jacques E. Slotine, Ameesh Makadia:
Scaling Spherical CNNs. CoRR abs/2306.05420 (2023) - [i22]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. CoRR abs/2306.09109 (2023) - [i21]Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu:
Learning to Transform for Generalizable Instance-wise Invariance. CoRR abs/2309.16672 (2023) - [i20]Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia:
Single Mesh Diffusion Models with Field Latents for Texture Generation. CoRR abs/2312.09250 (2023) - 2022
- [c29]Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia:
Light Field Neural Rendering. CVPR 2022: 8259-8269 - [c28]Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia:
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision. CVPR 2022: 15989-15999 - [c27]Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia:
Generalizable Patch-Based Neural Rendering. ECCV (32) 2022: 156-174 - [c26]Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal:
Stable Object Reorientation using Contact Plane Registration. ICRA 2022: 6379-6385 - [i19]Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia:
Generalizable Patch-Based Neural Rendering. CoRR abs/2207.10662 (2022) - [i18]Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal:
Stable Object Reorientation using Contact Plane Registration. CoRR abs/2208.08962 (2022) - 2021
- [c25]Kefan Chen, Noah Snavely, Ameesh Makadia:
Wide-Baseline Relative Camera Pose Estimation With Directional Learning. CVPR 2021: 3258-3268 - [c24]Shangzhe Wu
, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-Rendering the World's Revolutionary Artefacts. CVPR 2021: 6338-6347 - [c23]Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CVPR 2021: 12783-12792 - [c22]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: 14438-14447 - [c21]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: 7882-7893 - [i17]Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia:
There and back again: Cycle consistency across sets for isolating factors of variation. CoRR abs/2103.03240 (2021) - [i16]Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-rendering the World's Revolutionary Artefacts. CoRR abs/2104.03954 (2021) - [i15]Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CoRR abs/2104.11224 (2021) - [i14]Kefan Chen, Noah Snavely, Ameesh Makadia:
Wide-Baseline Relative Camera Pose Estimation with Directional Learning. CoRR abs/2106.03336 (2021) - [i13]Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia:
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold. CoRR abs/2106.05965 (2021) - [i12]Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia:
Light Field Neural Rendering. CoRR abs/2112.09687 (2021) - 2020
- [j5]Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis:
Learning SO(3) Equivariant Representations with Spherical CNNs. Int. J. Comput. Vis. 128(3): 588-600 (2020) - [c20]Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser:
Local Implicit Grid Representations for 3D Scenes. CVPR 2020: 6000-6009 - [c19]Philippos Mordohai, Konstantinos Batsos, Ameesh Makadia, Noah Snavely:
NBVC: A Benchmark for Depth Estimation from Narrow-Baseline Video Clips. IROS 2020: 10076-10083 - [c18]Carlos Esteves, Ameesh Makadia, Kostas Daniilidis:
Spin-Weighted Spherical CNNs. NeurIPS 2020 - [c17]Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia:
An Analysis of SVD for Deep Rotation Estimation. NeurIPS 2020 - [i11]Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser:
Local Implicit Grid Representations for 3D Scenes. CoRR abs/2003.08981 (2020) - [i10]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 abs/2005.01906 (2020) - [i9]Carlos Esteves, Ameesh Makadia, Kostas Daniilidis:
Spin-Weighted Spherical CNNs. CoRR abs/2006.10731 (2020) - [i8]Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia:
An Analysis of SVD for Deep Rotation Estimation. CoRR abs/2006.14616 (2020) - [i7]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 abs/2012.09855 (2020)
2010 – 2019
- 2019
- [c16]Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia:
Cross-Domain 3D Equivariant Image Embeddings. ICML 2019: 1812-1822 - [i6]Jake Levinson, Avneesh Sud, Ameesh Makadia:
Latent feature disentanglement for 3D meshes. CoRR abs/1906.03281 (2019) - 2018
- [c15]Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia:
Deformable Shape Completion With Graph Convolutional Autoencoders. CVPR 2018: 1886-1895 - [c14]Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis:
Learning SO(3) Equivariant Representations with Spherical CNNs. ECCV (13) 2018: 54-70 - [i5]Carlos Esteves, Kostas Daniilidis, Ameesh Makadia:
Labeling Panoramas with Spherical Hourglass Networks. CoRR abs/1809.02123 (2018) - [i4]Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia:
Cross-Domain 3D Equivariant Image Embeddings. CoRR abs/1812.02716 (2018) - 2017
- [c13]Amir Ali Ahmadi, Georgina Hall, Ameesh Makadia, Vikas Sindhwani:
Geometry of 3D Environments and Sum of Squares Polynomials. Robotics: Science and Systems 2017 - [i3]Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis:
3D object classification and retrieval with Spherical CNNs. CoRR abs/1711.06721 (2017) - [i2]Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia:
Deformable Shape Completion with Graph Convolutional Autoencoders. CoRR abs/1712.00268 (2017) - 2016
- [i1]Amir Ali Ahmadi, Georgina Hall, Ameesh Makadia, Vikas Sindhwani:
Geometry of 3D Environments and Sum of Squares Polynomials. CoRR abs/1611.07369 (2016) - 2014
- [c12]Ameesh Makadia, Mehmet Ersin Yümer:
Learning 3D Part Detection from Sparsely Labeled Data. 3DV 2014: 311-318 - [c11]Mehmet Ersin Yümer, Won Chun, Ameesh Makadia:
Co-segmentation of Textured 3D Shapes with Sparse Annotations. CVPR 2014: 240-247 - 2013
- [c10]Jason Weston, Ameesh Makadia, Hector Yee:
Label Partitioning For Sublinear Ranking. ICML (2) 2013: 181-189 - 2010
- [j4]Ameesh Makadia, Kostas Daniilidis:
Spherical Correlation of Visual Representations for 3D Model Retrieval. Int. J. Comput. Vis. 89(2-3): 193-210 (2010) - [j3]Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar:
Baselines for Image Annotation. Int. J. Comput. Vis. 90(1): 88-105 (2010) - [c9]Ameesh Makadia:
Feature Tracking for Wide-Baseline Image Retrieval. ECCV (5) 2010: 310-323
2000 – 2009
- 2009
- [c8]Alexander Toshev, Ameesh Makadia, Kostas Daniilidis:
Shape-based object recognition in videos using 3D synthetic object models. CVPR 2009: 288-295 - 2008
- [c7]Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar:
A New Baseline for Image Annotation. ECCV (3) 2008: 316-329 - 2007
- [j2]Ameesh Makadia, Christopher Geyer, Kostas Daniilidis:
Correspondence-free Structure from Motion. Int. J. Comput. Vis. 75(3): 311-327 (2007) - 2006
- [j1]Ameesh Makadia, Kostas Daniilidis:
Rotation Recovery from Spherical Images without Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 28(7): 1170-1175 (2006) - [c6]Ameesh Makadia, Alexander Patterson, Kostas Daniilidis:
Fully Automatic Registration of 3D Point Clouds. CVPR (1) 2006: 1297-1304 - 2005
- [c5]Ameesh Makadia, Christopher Geyer, Shankar Sastry, Kostas Daniilidis:
Radon-Based Structure from Motion without Correspondences. CVPR (1) 2005: 796-803 - [c4]Ameesh Makadia, Kostas Daniilidis:
Correspondenceless Ego-Motion Estimation Using an IMU. ICRA 2005: 3534-3539 - [c3]Ameesh Makadia, Dinkar Gupta, Kostas Daniilidis:
Planar Ego-Motion Without Correspondences. WACV/MOTION 2005: 160-165 - 2004
- [c2]Ameesh Makadia, Lorenzo Sorgi, Kostas Daniilidis:
Rotation Estimation from Spherical Images. ICPR (3) 2004: 590-593 - 2003
- [c1]Ameesh Makadia, Kostas Daniilidis:
Direct 3D-Rotation Estimation from Spherical Images via a Generalized Shift Theorem. CVPR (2) 2003: 217-226 - [p1]Kostas Daniilidis, Christopher Geyer, Volkan Isler, Ameesh Makadia:
Omnidirectional Sensing for Robot Control. Control Problems in Robotics 2003: 183-197
Coauthor Index
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last updated on 2024-10-04 20:59 CEST by the dblp team
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