Carlos Esteves

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 35

Top Topics

Diffusion Models

Signed Distance Function

Sharing Websites

Image Collections

Top Venues

Publications

Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
Learning to Transform for Generalizable Instance-wise Invariance. ICCV (2023)
Carlos Esteves, Jean-Jacques E. Slotine, Ameesh Makadia
Scaling Spherical CNNs. CoRR (2023)
Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar
ASIC: Aligning Sparse in-the-wild Image Collections. CoRR (2023)
Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia
Single Mesh Diffusion Models with Field Latents for Texture Generation. CoRR (2023)
Carlos Esteves, Jean-Jacques E. Slotine, Ameesh Makadia
Scaling Spherical CNNs. ICML (2023)
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)
Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. CoRR (2023)
Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar
ASIC: Aligning Sparse in-the-wild Image Collections. ICCV (2023)
Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
Learning to Transform for Generalizable Instance-wise Invariance. CoRR (2023)
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
Generalizable Patch-Based Neural Rendering. ECCV (32) (2022)
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
Generalizable Patch-Based Neural Rendering. CoRR (2022)
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
Light Field Neural Rendering. CVPR (2022)
Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal
Stable Object Reorientation using Contact Plane Registration. CoRR (2022)
Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal
Stable Object Reorientation using Contact Plane Registration. ICRA (2022)
Diego Patiño, Carlos Esteves, Kostas Daniilidis
Level Set Mesher: Single-image to 3D reconstruction by following the level sets of the signed distance function. ICPR (2022)
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)
Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold. CoRR (2021)
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
Light Field Neural Rendering. CoRR (2021)
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis
Learning SO(3) Equivariant Representations with Spherical CNNs. Int. J. Comput. Vis. 128 (3) (2020)
Carlos Esteves
Learning Equivariant Representations. CoRR (2020)
Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia
An Analysis of SVD for Deep Rotation Estimation. CoRR (2020)
Carlos Esteves, Ameesh Makadia, Kostas Daniilidis
Spin-Weighted Spherical CNNs. NeurIPS (2020)
Carlos Esteves
Theoretical Aspects of Group Equivariant Neural Networks. CoRR (2020)
Carlos Esteves, Ameesh Makadia, Kostas Daniilidis
Spin-Weighted Spherical CNNs. CoRR (2020)
Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia
An Analysis of SVD for Deep Rotation Estimation. NeurIPS (2020)
Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis
Equivariant Multi-View Networks. CoRR (2019)
Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia
Cross-Domain 3D Equivariant Image Embeddings. ICML (2019)
Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis
Equivariant Multi-View Networks. ICCV (2019)
Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou, Kostas Daniilidis
Polar Transformer Networks. ICLR (Poster) (2018)
Carlos Esteves, Kostas Daniilidis, Ameesh Makadia
Labeling Panoramas with Spherical Hourglass Networks. CoRR (2018)
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis
Learning SO(3) Equivariant Representations with Spherical CNNs. ECCV (13) (2018)
Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia
Cross-Domain 3D Equivariant Image Embeddings. CoRR (2018)
Roberto Tron, Xiaowei Zhou, Carlos Esteves, Kostas Daniilidis
Fast Multi-image Matching via Density-Based Clustering. ICCV (2017)
Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou, Kostas Daniilidis
Polar Transformer Networks. CoRR (2017)
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis
3D object classification and retrieval with Spherical CNNs. CoRR (2017)