activity
20172023
most citedDeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

1.2k citations · 1.3k across the 12 of their papers we have counts for

collaborators

13 papers

cs.CV2023★ 2 cited

DISGO: Automatic End-to-End Evaluation for Scene Text OCR

Mei-Yuh Hwang, Yangyang Shi, Ankit Ramchandani +6

This paper discusses the challenges of optical character recognition (OCR) on natural scenes, which is harder than OCR on documents due to the wild content and various image backgr…

cs.CV2023★ 2 cited

Text-Conditional Contextualized Avatars For Zero-Shot Personalization

Samaneh Azadi, Thomas Hayes, Akbar Shah +3

Recent large-scale text-to-image generation models have made significant improvements in the quality, realism, and diversity of the synthesized images and enable users to control t…

cs.CV2022

MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration

Thomas Hayes, Songyang Zhang, Xi Yin +6

Multimodal video-audio-text understanding and generation can benefit from datasets that are narrow but rich. The narrowness allows bite-sized challenges that the research community…

cs.CV2022★ 2 cited

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer

Songwei Ge, Thomas Hayes, Harry Yang +5

Videos are created to express emotion, exchange information, and share experiences. Video synthesis has intrigued researchers for a long time. Despite the rapid progress driven by…

cs.CV2021★ 3 cited

TextStyleBrush: Transfer of Text Aesthetics from a Single Example

Praveen Krishnan, Rama Kovvuri, Guan Pang +2

We present a novel approach for disentangling the content of a text image from all aspects of its appearance. The appearance representation we derive can then be applied to new con…

cs.CV2021★ 1 cited

TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text

Amanpreet Singh, Guan Pang, Mandy Toh +3

A crucial component for the scene text based reasoning required for TextVQA and TextCaps datasets involve detecting and recognizing text present in the images using an optical char…

cs.CV2021

A Multiplexed Network for End-to-End, Multilingual OCR

Jing Huang, Guan Pang, Rama Kovvuri +5

Recent advances in OCR have shown that an end-to-end (E2E) training pipeline that includes both detection and recognition leads to the best results. However, many existing methods…

cs.CV2020

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

Vítor Albiero, Xingyu Chen, Xi Yin +2

We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face detection or landmark localization. We observe that estimating the 6DoF rigid transformati…

cs.CV2020★ 9 cited

Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting

Minghui Liao, Guan Pang, Jing Huang +2

Recent end-to-end trainable methods for scene text spotting, integrating detection and recognition, showed much progress. However, most of the current arbitrary-shape scene text sp…

cs.CY2018★ 50 cited

From Satellite Imagery to Disaster Insights

Jigar Doshi, Saikat Basu, Guan Pang

The use of satellite imagery has become increasingly popular for disaster monitoring and response. After a disaster, it is important to prioritize rescue operations, disaster respo…

cs.CV2018★ 14 cited

Improving Rotated Text Detection with Rotation Region Proposal Networks

Jing Huang, Viswanath Sivakumar, Mher Mnatsakanyan +1

A significant number of images shared on social media platforms such as Facebook and Instagram contain text in various forms. It's increasingly becoming commonplace for bad actors…

cs.CV2018★ 1.2k cited

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

Ilke Demir, Krzysztof Koperski, David Lindenbaum +6

We present the DeepGlobe 2018 Satellite Image Understanding Challenge, which includes three public competitions for segmentation, detection, and classification tasks on satellite i…

cs.NI2017★ 4 cited

End-to-end Planning of Fixed Millimeter-Wave Networks

Tim Danford, Onur Filiz, Jing Huang +6

This article discusses a framework to support the design and end-to-end planning of fixed millimeter-wave networks. Compared to traditional techniques, the framework allows an orga…