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05/25/2023
EgoHumans: An Egocentric 3D Multi-Human Benchmark
We present EgoHumans, a new multi-view multi-human video benchmark to ad...
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07/21/2022
Neural Pixel Composition: 3D-4D View Synthesis from Multi-Views
We present Neural Pixel Composition (NPC), a novel approach for continuo...
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05/10/2022
KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints
Image-based volumetric avatars using pixel-aligned features promise gene...
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04/13/2022
COAP: Compositional Articulated Occupancy of People
We present a novel neural implicit representation for articulated human ...
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04/14/2021
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
Recent neural view synthesis methods have achieved impressive quality an...
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04/07/2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images
We present streaming self-training (SST) that aims to democratize the pr...
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03/31/2021
Video Exploration via Video-Specific Autoencoders
We present simple video-specific autoencoders that enables human-control...
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06/24/2020
Improving task-specific representation via 1M unlabelled images without any extra knowledge
We present a case-study to improve the task-specific representation by l...
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05/27/2020
4D Visualization of Dynamic Events from Unconstrained Multi-View Videos
We present a data-driven approach for 4D space-time visualization of dyn...
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01/13/2020
Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders
We present an unsupervised approach that enables us to convert the speec...
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06/11/2019
Shapes and Context: In-the-Wild Image Synthesis & Manipulation
We introduce a data-driven approach for interactively synthesizing in-th...
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08/15/2018
Recycle-GAN: Unsupervised Video Retargeting
We introduce a data-driven approach for unsupervised video retargeting t...
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11/29/2017
Do Convolutional Neural Networks act as Compositional Nearest Neighbors?
We present a simple approach based on pixel-wise nearest neighbors to un...
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08/17/2017
PixelNN: Example-based Image Synthesis
We present a simple nearest-neighbor (NN) approach that synthesizes high...
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07/13/2017
Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting
In this work, we show that saturating output activation functions, such ...
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02/21/2017
PixelNet: Representation of the pixels, by the pixels, and for the pixels
We explore design principles for general pixel-level prediction problems...
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09/21/2016
PixelNet: Towards a General Pixel-level Architecture
We explore architectures for general pixel-level prediction problems, fr...
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04/05/2016
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
We introduce an approach that leverages surface normal predictions, alon...
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04/27/2015