An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything

no code implementations • 7 Dec 2023 • Israt Zarin Era, Imtiaz Ahmed, Zhichao Liu, Srinjoy Das

Foundation models are currently driving a paradigm shift in computer vision tasks for various fields including biology, astronomy, and robotics among others, leveraging user-generated prompts to enhance their performance.

Anomaly Detection Astronomy +3

Temporal Segment Transformer for Action Segmentation

no code implementations • 25 Feb 2023 • Zhichao Liu, Leshan Wang, Desen Zhou, Jian Wang, Songyang Zhang, Yang Bai, Errui Ding, Rui Fan

To deal with these issues, we propose an attention based approach which we call \textit{temporal segment transformer}, for joint segment relation modeling and denoising.

Action Segmentation Denoising +1

Time-Series Pattern Recognition in Smart Manufacturing Systems: A Literature Review and Ontology

no code implementations • 29 Jan 2023 • Mojtaba A. Farahani, M. R. McCormick, Robert Gianinny, Frank Hudacheck, Ramy Harik, Zhichao Liu, Thorsten Wuest

Since the inception of Industry 4. 0 in 2012, emerging technologies have enabled the acquisition of vast amounts of data from diverse sources such as machine tools, robust and affordable sensor systems with advanced information models, and other sources within Smart Manufacturing Systems (SMS).

Time Series Time Series Analysis

Human-Object Interaction Detection via Disentangled Transformer

no code implementations • CVPR 2022 • Desen Zhou, Zhichao Liu, Jian Wang, Leshan Wang, Tao Hu, Errui Ding, Jingdong Wang

To associate the predictions of disentangled decoders, we first generate a unified representation for HOI triplets with a base decoder, and then utilize it as input feature of each disentangled decoder.

Human-Object Interaction Detection Object

Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN

no code implementations • 17 Apr 2022 • Zhichao Liu, Liyue Qian, Wenke Jing, Desen Zhou, Xuming He, Edmond Lou, Rui Zheng

The framework consisted of two closely linked modules: 1) the lamina detector for identifying and locating each lamina pairs on ultrasound coronal images, and 2) the spinal curvature estimator for calculating the scoliotic angles based on the chain of detected lamina.

DS-VIO: Robust and Efficient Stereo Visual Inertial Odometry based on Dual Stage EKF

no code implementations • 2 May 2019 • Xiaogang Xiong, Wenqing Chen, Zhichao Liu, Qiang Shen

This paper presents a dual stage EKF (Extended Kalman Filter)-based algorithm for the real-time and robust stereo VIO (visual inertial odometry).

Computational Efficiency

SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution

no code implementations • 16 Dec 2017 • Bingzhe Wu, Haodong Duan, Zhichao Liu, Guangyu Sun

In this paper, we build a super resolution perceptual generative adversarial network (SRPGAN) framework for SISR tasks.

Generative Adversarial Network Image Super-Resolution +1