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07/22/2023
Replay: Multi-modal Multi-view Acted Videos for Casual Holography
We introduce Replay, a collection of multi-view, multi-modal videos of h...
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07/14/2023
CoTracker: It is Better to Track Together
Methods for video motion prediction either estimate jointly the instanta...
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05/03/2023
DynamicStereo: Consistent Dynamic Depth from Stereo Videos
We consider the problem of reconstructing a dynamic scene observed from ...
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03/21/2023
Real-time volumetric rendering of dynamic humans
We present a method for fast 3D reconstruction and real-time rendering o...
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01/20/2023
Novel-View Acoustic Synthesis
We introduce the novel-view acoustic synthesis (NVAS) task: given the si...
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12/06/2022
Self-Supervised Correspondence Estimation via Multiview Registration
Video provides us with the spatio-temporal consistency needed for visual...
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11/07/2022
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories
Obtaining photorealistic reconstructions of objects from sparse views is...
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02/01/2022
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
Learning causal relationships in high-dimensional data (images, videos) ...
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12/23/2021
BANMo: Building Animatable 3D Neural Models from Many Casual Videos
Prior work for articulated 3D shape reconstruction often relies on speci...
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06/17/2021
Discovering Relationships between Object Categories via Universal Canonical Maps
We tackle the problem of learning the geometry of multiple categories of...
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06/17/2021
XCiT: Cross-Covariance Image Transformers
Following their success in natural language processing, transformers hav...
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06/17/2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
We present NeuroMorph, a new neural network architecture that takes as i...
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04/16/2021
Cross-Modal Retrieval Augmentation for Multi-Modal Classification
Recent advances in using retrieval components over external knowledge so...
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02/10/2021
Training Vision Transformers for Image Retrieval
Transformers have shown outstanding results for natural language underst...
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11/24/2020
Continuous Surface Embeddings
In this work, we focus on the task of learning and representing dense co...
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04/07/2020
Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation
We propose a method for building large collections of human poses with f...
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02/28/2020
Transferring Dense Pose to Proximal Animal Classes
Recent contributions have demonstrated that it is possible to recognize ...
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09/26/2019
COPHY: Counterfactual Learning of Physical Dynamics
Understanding causes and effects in mechanical systems is an essential c...
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09/05/2019
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
We propose C3DPO, a method for extracting 3D models of deformable object...
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06/13/2019
Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues
DensePose supersedes traditional landmark detectors by densely mapping i...
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09/06/2018
Dense Pose Transfer
In this work we integrate ideas from surface-based modeling with neural ...
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06/16/2018
Object Level Visual Reasoning in Videos
Human activity recognition is typically addressed by training models to ...
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02/01/2018
DensePose: Dense Human Pose Estimation In The Wild
In this work, we establish dense correspondences between RGB image and a...
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08/12/2017
Mass Displacement Networks
Despite the large improvements in performance attained by using deep lea...
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07/17/2017
Houdini: Fooling Deep Structured Prediction Models
Generating adversarial examples is a critical step for evaluating and im...
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03/22/2017
Predicting Deeper into the Future of Semantic Segmentation
The ability to predict and therefore to anticipate the future is an impo...
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11/20/2015
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning
We propose a method for hand pose estimation based on a deep regressor t...
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11/12/2015
Learning Human Identity from Motion Patterns
We present a large-scale study exploring the capability of temporal deep...
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12/31/2014