Search Results for author: A. Lynn Abbott

Found 10 papers, 5 papers with code

An Image Dataset of Text Patches in Everyday Scenes

no code implementations20 Oct 2016 Ahmed Ibrahim, A. Lynn Abbott, Mohamed E. Hussein

Although much research has been devoted to text detection and recognition in scanned documents, relatively little attention has been given to text detection in other types of images, such as photographs that are posted on social-media sites.

Text Detection

Input Fast-Forwarding for Better Deep Learning

1 code implementation23 May 2017 Ahmed Ibrahim, A. Lynn Abbott, Mohamed E. Hussein

This scheme is substantially different from "deep supervision" in which the loss layer is re-introduced to earlier layers.

Category-Level Articulated Object Pose Estimation

2 code implementations CVPR 2020 Xiaolong Li, He Wang, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song

We develop a deep network based on PointNet++ that predicts ANCSH from a single depth point cloud, including part segmentation, normalized coordinates, and joint parameters in the canonical object space.

Object Pose Estimation

Adaptive Label Smoothing

no code implementations14 Sep 2020 Ujwal Krothapalli, A. Lynn Abbott

We present a novel approach to classification that combines the ideas of objectness and label smoothing during training.

General Classification Object Localization +1

Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds

no code implementations NeurIPS 2021 Xiaolong Li, Yijia Weng, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song, He Wang

To reduce the huge amount of pose annotations needed for category-level learning, we propose for the first time a self-supervised learning framework to estimate category-level 6D object pose from single 3D point clouds.

Object Pose Estimation +1

Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation

no code implementations NeurIPS 2021 Xiaolong Li, Yijia Weng, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song, He Wang

Category-level object pose estimation aims to find 6D object poses of previously unseen object instances from known categories without access to object CAD models.

Object Pose Estimation +1

Color Invariant Skin Segmentation

1 code implementation21 Apr 2022 Han Xu, Abhijit Sarkar, A. Lynn Abbott

A primary motivation of the work has been to achieve results that are consistent across the full range of skin tones, even while using a training dataset that is significantly biased toward lighter skin tones.

Segmentation

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