Carlos Esteves

According to our database, Carlos Esteves authored at least 21 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Single Mesh Diffusion Models with Field Latents for Texture Generation.

Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia

CoRR, 2023

Scaling Spherical CNNs.

Carlos Esteves, Jean-Jacques E. Slotine, Ameesh Makadia

Proceedings of the International Conference on Machine Learning, 2023

Learning to Transform for Generalizable Instance-wise Invariance.

Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs.

Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ASIC: Aligning Sparse in-the-wild Image Collections.

Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Stable Object Reorientation using Contact Plane Registration.

Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Level Set Mesher: Single-image to 3D reconstruction by following the level sets of the signed distance function.

Diego Patiño, Carlos Esteves, Kostas Daniilidis

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Generalizable Patch-Based Neural Rendering.

Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia

Proceedings of the Computer Vision - ECCV 2022, 2022

Light Field Neural Rendering.

Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold.

Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learning SO(3) Equivariant Representations with Spherical CNNs.

Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis

Int. J. Comput. Vis., 2020

Learning Equivariant Representations.

Carlos Esteves

CoRR, 2020

Theoretical Aspects of Group Equivariant Neural Networks.

Carlos Esteves

CoRR, 2020

An Analysis of SVD for Deep Rotation Estimation.

Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spin-Weighted Spherical CNNs.

Carlos Esteves, Ameesh Makadia, Kostas Daniilidis

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Cross-Domain 3D Equivariant Image Embeddings.

Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia

Proceedings of the 36th International Conference on Machine Learning, 2019

Equivariant Multi-View Networks.

Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Labeling Panoramas with Spherical Hourglass Networks.

Carlos Esteves, Kostas Daniilidis, Ameesh Makadia

CoRR, 2018

Polar Transformer Networks.

Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou, Kostas Daniilidis

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

3D object classification and retrieval with Spherical CNNs.

Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis

CoRR, 2017

Fast Multi-image Matching via Density-Based Clustering.

Roberto Tron, Xiaowei Zhou, Carlos Esteves, Kostas Daniilidis

Proceedings of the IEEE International Conference on Computer Vision, 2017