Search Results for author: Xiaolong Liu

Found 5 papers, 2 papers with code

End-to-end Temporal Action Detection with Transformer

1 code implementation18 Jun 2021 Xiaolong Liu, Qimeng Wang, Yao Hu, Xu Tang, Song Bai, Xiang Bai

Temporal action detection (TAD) aims to determine the semantic label and the boundaries of every action instance in an untrimmed video.

Action Detection Video Understanding

Localization and Control of Magnetic Suture Needles in Cluttered Surgical Site with Blood and Tissue

no code implementations20 May 2021 Will Pryor, Yotam Barnoy, Suraj Raval, Xiaolong Liu, Lamar Mair, Daniel Lerner, Onder Erin, Gregory D. Hager, Yancy Diaz-Mercado, Axel Krieger

Our localization method combines neural network-based segmentation and classical techniques, and we are able to consistently locate our needle with 0. 73 mm RMS error in clean environments and 2. 72 mm RMS error in challenging environments with blood and occlusion.

Visual Localization

Multi-shot Temporal Event Localization: a Benchmark

1 code implementation CVPR 2021 Xiaolong Liu, Yao Hu, Song Bai, Fei Ding, Xiang Bai, Philip H. S. Torr

Current developments in temporal event or action localization usually target actions captured by a single camera.

Ranked #2 on Temporal Action Localization on THUMOS’14 (using extra training data)

Temporal Action Localization

CASNet: Common Attribute Support Network for image instance and panoptic segmentation

no code implementations17 Jul 2020 Xiaolong Liu, Yuqing Hou, Anbang Yao, Yurong Chen, Keqiang Li

Given the insight that pixels belonging to one instance have one or more common attributes of current instance, we bring up an one-stage instance segmentation network named Common Attribute Support Network (CASNet), which realizes instance segmentation by predicting and clustering common attributes.

Instance Segmentation Object Detection +1

Recent progress in semantic image segmentation

no code implementations20 Sep 2018 Xiaolong Liu, Zhidong Deng, Yuhan Yang

In this paper, we divide semantic image segmentation methods into two categories: traditional and recent DNN method.

Semantic Segmentation

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