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11/18/2022
Magic3D: High-Resolution Text-to-3D Content Creation
DreamFusion has recently demonstrated the utility of a pre-trained text-...
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12/22/2021
Open-Vocabulary Image Segmentation
We design an open-vocabulary image segmentation model to organize an ima...
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06/25/2021
Single Image Texture Translation for Data Augmentation
Recent advances in image synthesis enables one to translate images by le...
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04/28/2021
Zero-Shot Detection via Vision and Language Knowledge Distillation
Zero-shot image classification has made promising progress by training t...
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12/13/2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Building instance segmentation models that are data-efficient and can ha...
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12/10/2020
iNeRF: Inverting Neural Radiance Fields for Pose Estimation
We present iNeRF, a framework that performs pose estimation by "invertin...
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06/11/2020
Rethinking Pre-training and Self-training
Pre-training is a dominant paradigm in computer vision. For example, sup...
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12/10/2019
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Convolutional neural networks typically encode an input image into a ser...
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06/26/2019
Learning Data Augmentation Strategies for Object Detection
Data augmentation is a critical component of training deep learning mode...
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08/07/2017
Focal Loss for Dense Object Detection
The highest accuracy object detectors to date are based on a two-stage a...
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04/01/2015
Microsoft COCO Captions: Data Collection and Evaluation Server
In this paper we describe the Microsoft COCO Caption dataset and evaluat...
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05/01/2014
