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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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Streaming Self-Training via Domain-Agnostic Unlabeled Images
We present streaming self-training (SST) that aims to democratize the pr...
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Video Exploration via Video-Specific Autoencoders
We present simple video-specific autoencoders that enables human-control...
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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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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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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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Shapes and Context: In-the-Wild Image Synthesis & Manipulation
We introduce a data-driven approach for interactively synthesizing in-th...
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Recycle-GAN: Unsupervised Video Retargeting
We introduce a data-driven approach for unsupervised video retargeting t...
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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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PixelNN: Example-based Image Synthesis
We present a simple nearest-neighbor (NN) approach that synthesizes high...
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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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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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PixelNet: Towards a General Pixel-level Architecture
We explore architectures for general pixel-level prediction problems, fr...
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Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
We introduce an approach that leverages surface normal predictions, alon...
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Mid-level Elements for Object Detection
Building on the success of recent discriminative mid-level elements, we ...
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