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06/09/2023
FasterViT: Fast Vision Transformers with Hierarchical Attention
We design a new family of hybrid CNN-ViT neural networks, named FasterVi...
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01/31/2022
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction
Video compression is a central feature of the modern internet powering t...
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07/14/2020
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
Conventional CNNs for texture synthesis consist of a sequence of (de)-co...
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05/21/2020
Hierarchical Multi-Scale Attention for Semantic Segmentation
Multi-scale inference is commonly used to improve the results of semanti...
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01/26/2020
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos
Unsupervised landmark learning is the task of learning semantic keypoint...
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12/25/2019
Neural ODEs for Image Segmentation with Level Sets
We propose a novel approach for image segmentation that combines Neural ...
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10/28/2019
Few-shot Video-to-Video Synthesis
Video-to-video synthesis (vid2vid) aims at converting an input semantic ...
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09/06/2019
Video Interpolation and Prediction with Unsupervised Landmarks
Prediction and interpolation for long-range video data involves the comp...
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06/13/2019
Unsupervised Video Interpolation Using Cycle Consistency
Learning to synthesize high frame rate videos via interpolation requires...
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03/07/2019
Graphical Contrastive Losses for Scene Graph Generation
Most scene graph generators use a two-stage pipeline to detect visual re...
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12/04/2018
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Semantic segmentation requires large amounts of pixel-wise annotations t...
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11/28/2018
Partial Convolution based Padding
In this paper, we present a simple yet effective padding scheme that can...
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11/21/2018
An Interpretable Model for Scene Graph Generation
We propose an efficient and interpretable scene graph generator. We cons...
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11/02/2018
SDCNet: Video Prediction Using Spatially-Displaced Convolution
We present an approach for high-resolution video frame prediction by con...
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11/01/2018
Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge
This article describes the model we built that achieved 1st place in the...
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08/20/2018
Video-to-Video Synthesis
We study the problem of video-to-video synthesis, whose goal is to learn...
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04/20/2018
Image Inpainting for Irregular Holes Using Partial Convolutions
Existing deep learning based image inpainting methods use a standard con...
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11/30/2017
