Search Results for author: Carlos Esteves

Found 20 papers, 10 papers with code

Learning to Transform for Generalizable Instance-wise Invariance

no code implementations ICCV 2023 Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu

However, too much or too little invariance can hurt, and the correct amount is unknown a priori and dependent on the instance.

Data Augmentation

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

no code implementations ICCV 2023 Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia

Consequently, there is growing interest in extending NeRF models to jointly optimize camera poses and scene representation, which offers an alternative to off-the-shelf SfM pipelines which have well-understood failure modes.

Pose Estimation

Scaling Spherical CNNs

1 code implementation8 Jun 2023 Carlos Esteves, Jean-Jacques Slotine, Ameesh Makadia

Spherical CNNs generalize CNNs to functions on the sphere, by using spherical convolutions as the main linear operation.

Weather Forecasting

ASIC: Aligning Sparse in-the-wild Image Collections

no code implementations ICCV 2023 Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar

We present a self-supervised technique that directly optimizes on a sparse collection of images of a particular object/object category to obtain consistent dense correspondences across the collection.

Stable Object Reorientation using Contact Plane Registration

no code implementations18 Aug 2022 Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal

We present a system for accurately predicting stable orientations for diverse rigid objects.

Generalizable Patch-Based Neural Rendering

no code implementations21 Jul 2022 Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia

Neural rendering has received tremendous attention since the advent of Neural Radiance Fields (NeRF), and has pushed the state-of-the-art on novel-view synthesis considerably.

Neural Rendering Novel View Synthesis

Light Field Neural Rendering

1 code implementation CVPR 2022 Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia

Classical light field rendering for novel view synthesis can accurately reproduce view-dependent effects such as reflection, refraction, and translucency, but requires a dense view sampling of the scene.

Neural Rendering Novel View Synthesis

Deep Semi-Supervised 3D Shape Reconstruction by Solving a Poisson Equation with Spectral Methods

no code implementations29 Sep 2021 Diego Patino, Carlos Esteves, Kostas Daniilidis

In this paper we propose a deep learning method for unsupervised 3D implicit shape reconstruction from point clouds.

3D Shape Reconstruction

Generalized Fourier Features for Coordinate-Based Learning of Functions on Manifolds

no code implementations29 Sep 2021 Carlos Esteves, Tianjian Lu, Mohammed Suhail, Yi-fan Chen‎, Ameesh Makadia

In this work, we generalize positional encoding with Fourier features to non-Euclidean manifolds.

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

2 code implementations10 Jun 2021 Kieran Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia

Single image pose estimation is a fundamental problem in many vision and robotics tasks, and existing deep learning approaches suffer by not completely modeling and handling: i) uncertainty about the predictions, and ii) symmetric objects with multiple (sometimes infinite) correct poses.

3D Pose Estimation 3D Rotation Estimation

Learning Equivariant Representations

2 code implementations4 Dec 2020 Carlos Esteves

In this thesis, we extend equivariance to other kinds of transformations, such as rotation and scaling.

3D Shape Classification General Classification +4

An Analysis of SVD for Deep Rotation Estimation

2 code implementations NeurIPS 2020 Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia

Symmetric orthogonalization via SVD, and closely related procedures, are well-known techniques for projecting matrices onto $O(n)$ or $SO(n)$.

3D Pose Estimation 3D Rotation Estimation

Spin-Weighted Spherical CNNs

2 code implementations NeurIPS 2020 Carlos Esteves, Ameesh Makadia, Kostas Daniilidis

In this paper, we present a new type of spherical CNN that allows anisotropic filters in an efficient way, without ever leaving the spherical domain.

Semantic Segmentation

Theoretical Aspects of Group Equivariant Neural Networks

no code implementations10 Apr 2020 Carlos Esteves

The second, by Cohen et al. (NeurIPS'19), generalizes the first to a larger class of networks, with feature maps as fields on homogeneous spaces.

Equivariant Multi-View Networks

1 code implementation ICCV 2019 Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis

Several popular approaches to 3D vision tasks process multiple views of the input independently with deep neural networks pre-trained on natural images, achieving view permutation invariance through a single round of pooling over all views.

3D Shape Classification 3D Shape Retrieval +2

Cross-Domain 3D Equivariant Image Embeddings

1 code implementation6 Dec 2018 Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia

This embedding encodes images with 3D shape properties and is equivariant to 3D rotations of the observed object.

3D Shape Classification Novel View Synthesis +1

Labeling Panoramas with Spherical Hourglass Networks

no code implementations6 Sep 2018 Carlos Esteves, Kostas Daniilidis, Ameesh Makadia

With the recent proliferation of consumer-grade 360{\deg} cameras, it is worth revisiting visual perception challenges with spherical cameras given the potential benefit of their global field of view.

Semantic Segmentation

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