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09/18/2023
Unsupervised Open-Vocabulary Object Localization in Videos
In this paper, we show that recent advances in video representation lear...
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09/01/2023
Object-Centric Multiple Object Tracking
Unsupervised object-centric learning methods allow the partitioning of s...
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08/31/2023
Coarse-to-Fine Amodal Segmentation with Shape Prior
Amodal object segmentation is a challenging task that involves segmentin...
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05/26/2023
OpenVIS: Open-vocabulary Video Instance Segmentation
We propose and study a new computer vision task named open-vocabulary vi...
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02/16/2023
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
Layout-to-image generation refers to the task of synthesizing photo-real...
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10/23/2022
Self-supervised Amodal Video Object Segmentation
Amodal perception requires inferring the full shape of an object that is...
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09/29/2022
Bridging the Gap to Real-World Object-Centric Learning
Humans naturally decompose their environment into entities at the approp...
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07/03/2021
Learning Hierarchical Graph Neural Networks for Image Clustering
We propose a hierarchical graph neural network (GNN) model that learns h...
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12/03/2015
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
MXNet is a multi-language machine learning (ML) library to ease the deve...
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11/24/2014
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Fine-grained classification is challenging because categories can only b...
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11/24/2014