ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


ICPR 2020 MAIN CONFERENCE

**25th INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION**
MILAN, ITALY // JANUARY 10th TO 15th, 2021

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 

For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the ICPR Conference, there are 1407 Oral/Poster presentations organized in five Tracks: Artificial Intelligence, Machine Learning for Pattern Analysis; Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; Document and Media Analysis; and Image and Signal Processing. The ICPR2020 Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR2020 program. 


25th International Conference on Pattern Recognition

Italy

PS T4.1: Document Analysis and Retrieval

**ICPR Browser Link:** https://ailb-web.ing.unimore.it/icpr/paper/1088/nn 










**Abstract:**


Text line localization in document images is still considered an open research task. The state-of-the-art methods in this regard are only based on the classical image analysis techniques mostly have unsatisfactory performances especially when the document images i) contain significant degradations and different noise types and scanning defects, and ii) have touching and/or multi-skewed text lines or overlapping words/characters and non-uniform inter-line space. Moreover, localizing text in ancient handwritten Arabic document images is even more complex due to the morphological particularities related to the Arabic script. Thus, in this paper, we propose a hybrid method combining a deep network with classical document image analysis techniques for text line localization in ancient handwritten Arabic document images. The proposed method is firstly based on using the U-Net architecture to extract the main area covering the text core. Then, a modified RLSA combined with topological structural analysis is applied to localize whole text lines (including the ascender and descender components). To analyze the performance of the proposed method, a set of experiments has been conducted on many recent public and private datasets, and a thorough experimental evaluation has been carried out.

2133 - Combining Deep and Ad-hoc Solutions to Localize Text Lines in Ancient Arabic Document Images

WACV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.




IEEE WACV 2021


**Welcome video**

<iframe width=1280 height=720 frameborder="0" scrolling="no" src="https://screencast-o-matic.com/player/cre62HVc33j?ff=1&title=0&controls=1" allowfullscreen="true"></iframe>

University of Colorado WASH Virtual Symposium 2021

It is our great pleasure to invite you to attend the 26th International Workshop on Rare Earth and Future Permanent Magnets and Their Applications (REPM2021) which will be held virtually on June 7-10, 2021. Please note, this is an updated schedule due to COVID-19 travel restrictions which forced us to postpone the conference from summer of 2020. The REPM workshop takes place every two years and is the premier conference on permanent magnets covering a wide range of topics including:

* Rare earth magnets
* Rare earth-free magnets
* Raw materials, mining and recycling
* Advanced synthesis, processing and characterization techniques
* Theoretical modeling of coercivity
* Fundamental properties of advanced magnetic materials
* Thin film magnets
* Applications of permanent magnets

***Workshop***
The workshop will be chaired by Professor George C. Hadjipanayis, University of Delaware, Newark, DE and Dr. Jinfang Liu, President & COO of Electron Energy Corporation, Landisville, PA.
The objectives of the workshop are to bring together engineers and scientists who work on permanent magnets and their applications to present their latest results and exchange ideas on a wide range of relevant topics including resources, raw materials, recycling, processing, fundamental and hard magnetic properties and applications of rare earth and future magnets.

REPM 2021: The 26th International Workshop on Rare-Earth and Future Permanent Magnets and their Applications

The UKSG Annual Conference and Exhibition 2021 will be held online for the first time. The event is a major event in the scholarly communications calendar which attracts a large number of delegates each year from around the world - librarians, publishers, content providers, consultants and intermediaries. The conference combines high-quality plenary presentations, lightning talks and breakout sessions with virtual social events and a major online trade exhibition.



UKSG Annual Conference 2021

CPAF2021

Brought to you by **National Defense Industrial Association ([NDIA](https://www.google.com/url?q=https%3A%2F%2Fwww.ndia-sd.org%2F&sa=D&sntz=1&usg=AFQjCNHj_BQx1K4KVKKp1NTIsAltZOG9Vg))** and hosted by the **Battlespace Exploitation of Mixed Reality ([BEMR](https://cdn.dvidshub.net/media/video/2101/DOD_108139354/DOD_108139354-1024x576-1769k.mp4)) Lab**, at **Naval Information Warfare Center Pacific ([NIWC PAC](https://www.google.com/url?q=https%3A%2F%2Fwww.public.navy.mil%2Fnavwar%2FNIWC-Pacific%2FPages%2Fdefault.aspx&sa=D&sntz=1&usg=AFQjCNFNS160IEsocfaBrnCNB3u7NqLHPw))**, and welcoming academia, government/DOD, and industry leaders who support Industrial Augmented Reality/Virtual Reality by using the following technologies:   


* Augmented Reality (AR) / Virtual Reality (VR)

* 2D/3D displays

* mobile displays

* wearables

* any other "immersive" technology

### In all fields that touch:

* 3D modeling

* Manufacturing 

* Installations 

* Maintenance and Repairs

* Construction

* Logistics

* Additive manufacturing

* Training

The technical exchange is a two day event held online this year due to COVID-19. It will feature two days of oral presentations, demonstrations, and posters from leaders in AR/VR and other display technologies, including government briefings on active projects within the DOD. The technical exchange is unclassified and we welcome participation from the Navy, DoD as well as from industry and academia. 

The goals of TEAR 3M are:

*  To spread awareness of current immersive technology research relevant to Navy/DOD applications

*  To connect AR researchers with experts in DOD to learn about needs and requirements

*  To build and strengthen collaborations within the DOD research community

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/0c13ac0ffa096b2353573964d8b89789.png)

TEAR 3M General Chairs:

Heidi Buck,  Director @ BEMR Lab, Naval Information Warfare Center, Pacific

Lauren Burnette, BEMR Lab, Naval Information Warfare Center, Pacific


For more information, contact Lauren and Heidi at:  tear3m@spawar.navy.mil

Questions regarding sponsorship/registration contact:  ndiasd@sandiegositepros.com

Conference host POC is Tammy Sanchez (NDIA):  tamsanch@cisco.com

TEAR 3M 2021

Welcome to Part I of the two-part, online workshop series on Aligning Global Engineering Graduate Program Priorities, funded by the National Science Foundation. The focus of Part I will be on the following questions:

Day 1: What is Global Engineering? What do global engineers need to know and know how to do?

Day 2: How do we achieve these learning objectives through graduate education? 

The goal of this workshop is to generate consensus on a Body of Knowledge within the emerging field of Global Engineering, working together to: (i) develop and align learning objectives and graduate curricula programming and (ii) strengthen collaboration amongst Global Engineering and other related programs in the United States. 

In preparation for the workshop, please watch the two plenary talks (12min, 19min) and review the following background documents: [North American Global Engineering Programs Summary](https://drive.google.com/file/d/12JHqNYsjdSavnrgk4GC28sy8g1Z0KAAc/view?usp=sharing); [Part I Workshop Participant Survey Summary](https://drive.google.com/file/d/1MROalnXDGBfTKlniq5d7rNd0IzvXFWy5/view?usp=sharing); and [Introduction to Bloom’s Taxonomy](https://drive.google.com/file/d/1i9XEjqhXvnKrUp5SLQ6WG9LWesBFMwOp/view?usp=sharing).

**Evan Thomas Plenary Video**[](https://)

[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/478cee2d4c8e5daed1b09d2cb2285d46.png)](https://underline.io/events/72/sessions/2323/lecture/13272-evan-thomas-gew-plenary)

**Jack Colford Plenary Video**

[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/0e9ea8f1579e4f113ced31d5a823e5d0.png)](https://underline.io/events/72/sessions/2328/lecture/13401-jack-colford-plenary)

Please view the [**[Workshop Participant List & Breakout Assignments]**](https://docs.google.com/spreadsheets/d/1CEZ8nnes5m1P2xrXLZLNyDZ9V2IOJ420J1erbCDsfY4/edit?usp=sharing)

**We use Gather.Town for the Breakout Sessions**

Please [click here](https://drive.google.com/file/d/1ewUD0IGC_-IgsHi2KZU1Y3F3zYWBPirV/view?usp=sharing) for written instructions on using Gather.Town


Aligning Global Engineering Graduate Program Priorities

Dear attendees,
we would like to remind you that this year's ISSCC has three events on Underline. If you wish to reach ISSCC Innovation [please click here](https://underline.io/events/74/reception). If you wish to reach ISSCC Exploration [please click here](https://underline.io/events/79/reception). Remember that you need to be registered for other events in order to have access.

[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/8fdc308fdbe51b86add0a3713eff37fc.png)](https://underline.io/events/78/reception) [![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/b21b3a25c8bfec8565ed8b650d12f86b.png)](https://underline.io/events/74/reception) [![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/ded75d9813affa0f2ab1c2a2f35ce404.png)](https://underline.io/events/79/reception)


**The International Solid-State Circuits Conference** is the foremost global forum for presentation of advances in solid-state circuits and systems-on-a-chip. The Conference offers a unique opportunity for engineers working at the cutting edge of IC design and application to maintain technical currency, and to network with leading experts.

The ISSCC 2021 Technical Program is composed of three sub-conferences: Education, Innovations and Exploration. 
* Innovations consists of 205 outstanding technical papers including 4 plenary and 6 invited industry (“Highlighted Chip Releases”) and Special Events. 
* Education consists of twelve introductory tutorials, and a short course on PLLs, Clocking, and Clock Distribution. 
* Exploration consists of six expert-oriented forums.

The Conference will also feature a variety of special events, available to all attendees: 
* three panels on “What Technologies Will Shape the Future of Computing?”, “Going Remote: Challenges and Opportunities to Remote Learning, Work, and Collaboration”, and “Favorite Circuit Design and Testing Mistakes of Starting Engineers”, and 
* another technical session on “ICs in PandemICs”. In addition, we continue with the “Student Research Preview” and “Making a Career Choice”.

In addition, you will have access to two Demonstration Sessions, for both recorded and “live” sessions of devices described in nearly 50 selected papers.
Many networking options will be available, please use provided links to get access to networking lounges, speakers interview or book displays.

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/a3ba7e571668b614be66e31a2bbfd5b6.jpg)

<iframe width="560" height="315" src="https://www.youtube.com/embed/_SjbG9xnw3Q?controls=0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

<iframe width=1280 height=706 frameborder="0" scrolling="no" src="https://screencast-o-matic.com/player/crnIjbSuyz?v=6&ff=1&title=0&controls=1" allowfullscreen="true"></iframe>

IEEE ISSCC Education

RWW consists of five related conferences that focus on the intersection between wireless communication theory, systems, circuits, and device technologies. This creates a unique forum for engineers to discuss various technologies for state-of-art wireless systems and their end-use applications.  ARFTG continues joining RWW2021 as a co-located conference.

RWW2021 will be held fully virtual on 17 – 22 January 2021.

IEEE Radio & Wireless Week (RWW)

ICPR 2020 Workshops & Tutorials

AAPT® is a strong professional physics science society dedicated to the pursuit of excellence in physical science education.

Winter and Summer National Meetings:
These National Meetings, held each winter and summer, are opportunities for members, colleagues, and future physicists from around the world to:

- participate in physics workshops
- meet and greet other physics educators
- form networks nationally and locally
- engage exhibitors and learn about the latest physics resources
- discuss innovations in teaching methods
- share the results of research about teaching and learning.

If you're not able to log in, you're most likely using **incorrect login credentials**. Double-check that you are using the same email and password that you used to register for the conference, submit your abstract or access your AAPT membership. There may also be **an issue with your AAPT meeting registration**. Please email aapt2021@underline.io and programs@aapt.org and we will work quickly to resolve this issue.

AAPT WM21

#### Trust in Autorship

**April 13, 2021 | 11:00-11:55 pm (CDT) | 12:00-12:55 pm (EDT)**

In this webinar, Dr. Leslie McIntosh, Dr. Alison Antes, and Josh Sumner will present cases of fictitious authorship in scientific preprints and discuss the ethical concerns of imposters and impersonators in scholarship. This event will be moderated by Darrell Gunter.

[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/4ebaf99dab5af7a3f6837c6d1e67ee07.jpg)](https://ripeta2021.paperform.co/)

#### Presenters

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/00e0aae1bb3a67934596fe00670fd32a.jpg)

Dr. Leslie D. McIntosh is the founder and CEO of Ripeta, a company formed to improve scientific research quality and reproducibility. The company leads efforts in automating quality checks of research manuscripts and is a recipient of funding from Digital Science. She served as the executive director for the Research Data Alliance (RDA) – US region and as the Director of the Center for Biomedical Informatics at Washington University School in St. Louis. Over the past years, Dr. McIntosh has dedicated her work to improving science. Since 2014, this has focused on highlighting the need for reproducible science, then on transparently reporting science, and now on the need to build trust in science. She holds a Masters and PhD in Public Health with concentrations in Biostatistics and Epidemiology from Saint Louis University and a Certificate in Women’s Leadership Forum from Washington University Olin’s School of Business.
 
![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/e5faa70240de2698fa6aa161ecd3309d.jpg)

Dr. Antes is faculty in the Bioethics Research Center at Washington University School of Medicine in the Division of General Medical Sciences. She teaches courses in research ethics and delivers workshops on the responsible conduct of research for scholars in the Washington University community. She also co-directs the Professionalism and Integrity in Research Program, a national remediation training and coaching program for investigators who are referred for lapses in research compliance or research integrity. Dr. Antes is principal investigator on NIH and NSF-funded grants examining leadership and management of research and ethical decision-making in research. Her research centers on cultivating effective research environments and professional development of researchers to promote rigor and integrity in science. 
 
Dr. Antes is an editorial board member of Accountability in Research, and serves as an ad-hoc reviewer for multiple publications such as Science and Engineering Ethics, Ethics and Behavior, and Journal of Empirical Research on Human Research Ethics.
 
Dr. Antes completed her PhD in Industrial-Organizational Psychology at the University of Oklahoma, where she focused on cognition, ethical decision-making, and the development and evaluation of research ethics training.
 
![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/eb9ac260d5f5b893b12ce2602c70cd64.jpg)
 
Josh Sumner is a data scientist at Ripeta using R to assist in analyzing data to evaluate research. He graduated from Appalachian State University in May of 2019 with a BS in Strength and Conditioning and a minor in Statistics. Josh is planning to pursue an MS in biostatistics in 2020 and is particularly interested in statistics, its applications in health science, and its role in sports science research.

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/a81fea52efb5b9efe19a26e6d08c139d.jpg)

Darrell, an experienced digital publishing executive, has been at the forefront of major industry initiatives, i.e., Factiva, ScienceDirect, Scopus, BiomedExperts.com, ReviewerFinder, Underline, and Ripeta. In his consulting practice, he has advised many CEOs from startups to the very largest publishers. He is a graduate of Seton Hall University’s W. Paul Stillman School of Business (BS Business Administration- Marketing) and Lake Forest Graduate School of Management (MBA). His column titled “The Innovator’s Saga” appears in The Against The Grain publication. His radio program “Leadership with Darrell W Gunter,” in its 12th season, airs 8:00 am Saturday on WSOU HD 89.5 FM / WSOU.net. His previous shows are available on his iTunes Podcast.

[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/4ebaf99dab5af7a3f6837c6d1e67ee07.jpg)](https://ripeta2021.paperform.co/)

**About ripeta**

Ripeta is a software and services company with the mission to assess, design, and disseminate practices and measures to improve the reproducibility of science with minimal burden on scientists. Founded by research scientists in 2017, ripeta makes better science easier. Learn more about ripeta and the services we offer here: https://www.ripeta.com/





Ripeta webinar: Trust in Authorship 2021


[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/d22b7774199bb31649c51f0ca12fbe5d.png)](https://mcnairregistration.paperform.co)


**Welcome to our 32nd annual conference!**
Once registered you should receive your ticket to gain full access to the schedule and the events.  Our McNair Scholars have worked hard to produce this quality work.  We look forward to showing the great work they’ve done and hear about what their future plans are. 

**A Note of Appreciation**

The McNair Staff would like to thank you for attending the Scholars Conference. The effort of the McNair Scholars put into their research is quite evident as reflected in the quality of their posters and presentations.  The presentations are the result of each scholar conducting nearly 280 hours of research throughout this academic year. 

We also wholeheartedly extend our thanks to all of our mentors for their desire to work with our scholars and for their patience in carrying out their responsibilities.  We hope these efforts have a lasting impression on the scholars.

The McNair Advisory Committee is also commended for the exemplary efforts it expended in selecting the 2020-2021 scholars.

**MU McNair Program Background**

The McNair Scholars Program was developed when the U.S. Senate was preparing the Higher Education Re-authorization act in 1986. This new program was created under the TRIO sub-section covering graduate education outreach to address the predicted shortage of persons with earned doctorates. In 1989, the Division of Higher Education Preparation and Support Services of the U.S. Department of Education launched the administration of the program.

Dr. Vicki Curby prepared and submitted a successful grant proposal which made the University of Missouri was one of the original 14 institutions selected for funding. The first group of scholars conducted their research that year, and the inaugural McNair Scholars Conference was held in the spring of 1990. 

**Ronald E. McNair**

Ronald Erwin McNair was born October 21, 1950, in Lake City South Carolina.  After graduation from high school, he enrolled in North Carolina A&T State University, where he graduated magna cum laude with a degree in physics in 1971.  McNair then enrolled in the Massachusetts Institute of Technology where he earned his PhD in physics in 1976. 

While working as a staff physicist with Hughes Research Laboratory, he soon became a recognized expert in laser physics. In 1978, McNair was selected for the NASA space shuttle program, and, after years of training, he served as mission specialist aboard the space shuttle Challenger in 1984.  He was the second African-American to travel in space.

Besides his academic achievements, McNair received three honorary doctorate degrees and many fellowships and commendations, such as the Presidential Schola, 1967-7; Ford Foundation Fellow, 1971-74; National Fellowship Fund Fellow, 1974-75; Omega Psi Phi Scholar of the Year, 1975; Distinguished National Scientist; National Society of Black Professional Engineers, 1979; and Friend of Freedom Award, 1981.  McNair also held a fifth-degree black belt in karate and was an accomplished jazz saxophonist.

Ronald E. McNair died in the Challenger accident on January 28, 1986 which claimed the lives of the entire crew.  He legacy lives on in the McNair Scholars Program

 
**McNair Staff**
<br>Director: NaTashua Davis
<br>Associate Director: Natalie Downer
<br>Program Coordinator: Jeremy Bloss
<br>Program Assistant: James Hamilton
<br>Graduate Assistant: Brittany Fatoma

**2020-2021 McNair Advisory Committee**
<br>Vicki Boyd-Kennedy
<br>John David
<br>Melissa Herzog
<br>Charles Nilon

**The schedule is as follows:**
* Opening sessions: 9:00am – 11:00am
* Poster session 1: 11:00am – 11:30am
* Hour break: 11:30am – 12:30pm
* Session 2: 12:30pm – 2:00pm
* Poster session 2: 2:00-2:30pm

 


2021 MU McNair Scholars Conference

Marietta College All Scholars Day 

#### Revealing the Invisible: How to Prepare Hidden Targets by Mechanical and Ion Beam Preparation (for SEM)

**April 19, 2021 | 2:00-3:30 pm (CEST) | 8:00-9:30 am (EDT)**

Preparation of micro targets is not an easy task, as these targets are rarely visible and difficult to handle. 

In this one-hour online workshop our specialists will help reveal the invisible and introduce you to a workflow consisting of a combination of mechanical precision preparation with the Leica EM TXP and ion beam processing with the Leica EM TIC 3X.

Following a short introduction to the topic, you will be able to can follow the sequence of the workflow live online. In the subsequent break-out sessions, you will have the opportunity to get tips and tricks from our specialists on the following sample preparation topics.

**Break Out Session 1** -  Cross sectioning and flat milling:  Ion milling for semi-conductor, aerospace, automotive,  painting and coating or similar application fields.

**Break Out Session 2** - For temperature-sensitive samples: Ion milling for tyres, paper industry, polymer and chemistry companies, glass research or similar application fields.

**Who should attend the online workshop?**

This interactive online workshop is designed for beginners as well as advanced EM users and provides practical tips for sample preparation

**This workshop will ask and answer the following questions:**

* Why is sample preparation so important in electron microscopy?
* What are the special challenges of target preparation? 
* What are the advantages of the synergy between EM TXP and EM TIC 3X?

[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/dd3faabc72cb589ce748b7d6cb19e6a5.jpg)](https://wiley-asc2021.paperform.co/)

**Presenter**

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/39ff36d1a4be3a94a3810ae9759dd415.jpg)

Thomas Pfeifer is Advanced Workflow Specialist (AWS) at Leica Microsystems. Before being named AWS in January 2020, Mr. Pfeifer worked for 10 years as Project manager in the R&D department of the Leica´s Nanotechnology division. He holds a scientific degree in Physics from the Technical University of Chemnitz, where he worked as Research assistant at the Chair of Physics of Solid Bodies.
![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/eb074685ec698ed223252b9af8e7c05c.jpg)
![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/15f1ff4f50d8dd1e6bc765aa49fbd3c1.jpg)
![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/eb074685ec698ed223252b9af8e7c05c.jpg)
[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/7f377a94ded1e1b70b28af0e76a31887.jpg)](https://wiley-asc2021.paperform.co/)


Wiley Analytical Science Conference

Alle großen Unternehmen der Prozessindustrie haben seit Jahren Verbesserungsprogramme etabliert und damit viel erreicht. Aber ist wirklich alles Potential schon erkannt, hat es sich schon voll umsetzen lassen, leben diese Programme noch, entwickeln sie sich weiter und werden immer wieder mit neuen Impulsen genährt? Verbesserungen kontinuierlich und lebendig voranzubringen bedarf immer wieder neuer Anregungen und Ideen. Die Funken für Improving Continuous Improvement sollen im OpEx-Forum überspringen.

Gesellschaftsübergreifende und globale Herausforderungen wie Demografie, Digitalisierung oder Green Recovery mit und nach Corona liefern immer wieder Stoff zur Diskussion – und oft stellt sich die Führung nicht oder nur unzureichend diesen Herausforderungen. Als Plattform für den Austausch zwischen „OpEx-Menschen“ und Spezialisten zu den Fachthemen der Megatrends will das Forum Handlungsempfehlungen für Entscheider liefern und Impulse geben, um Zukunft zu gestalten.

Führungskultur in Corona-Zeiten, Kulturwandel und demographischer Wandel, Nachhaltigkeit, Agilität und unternehmerische Verantwortung in allen Facetten – das sind Themen des OpEx Forums 2020. 
Ein weit gespannter Fokus, aber ein klares Ziel: Nachhaltigen Erfolg für die Unternehmen der Prozessindustrie. Führungskräfte und Trendsetter aus Firmen, Verbänden, Politik, Wissenschaft und Kultur sind zum Austausch eingeladen.


OPEX Forum 2020

Delaware Neuroscience Symposium 2021

<p align="center"><b>INTERMAG 2021 Welcome Video</b>
</p>

<p align="center">
	
<figure class="video_container">
  <iframe src="https://screencast-o-matic.com/player/crflqFVnUpZ?v=6&ff=1&title=0&controls=1" width=640  height=360  frameborder="0" allowfullscreen="true"> </iframe>
</figure>

	</p>

Want to buy a ticket? 

Register for INTERMAG 2021 here

[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/17ce76e7960db633258024eef8d6da7f.png)](https://intermag.org/register)

Got your ticket, but still can’t access the event?

Contact us and our team will look into it.

INTERMAG 2021

This annual event showcases and celebrates the faculty-mentored research, scholarly activity and creative achievements of MacEwan University students across all faculties and disciplines. It is intended to foster a teaching and learning environment that supports critical and innovative thinking as part of a flourishing and robust scholarly culture.

This event showcases MacEwan students’ exciting achievements through poster and project displays, oral presentations, and creative installations of students’ faculty-mentored work.

Live presentations will take place on April 26, 2021 and from April 27-30 you can explore the recorded presentations and poster content. 


MacEwan Student Research Day 2021

**BQIT** is a three day annual workshop aimed at enabling leading UK and international academics and industrial partners to come together; to explore and discuss future ambitions and challenges in the field of **Quantum Information Technologies.** Since our conception in 2014 we have had 230 speakers and panellists who have presented their work and opinions on a range of topics, from quantum theory to innovation in industry.


![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/a12e0c1ad3410144cb48557690e4ecaf.png)
### Welcome Message
The BQIT:21 team welcomes you to the eighth Bristol Quantum Information Technologies workshop.

Our understanding of the world has rarely been as shaken as with the adoption of quantum mechanics. The unprecedented elegance and precision of the theory validate a departure from conventional human intuition. Quantum information emerged from studies on the foundations of quantum mechanics and has evolved gradually to offer a disruptive approach to conventional information technologies. With applications in computing and simulations, communications and cryptography and also metrology, sensing and imaging – Quantum Information Technologies are posed to reform multiple disciplines to their ultimate physical limits.

Four decades ago, C.M. Caves proposed using the concept of squeezing for metrology applications, 1981 was also the year the first experimental verification of Bell’s inequalities was announced by A.Aspect, P. Grangier and G. Roger. Ten years later, in 1971, A. Ekert proposed using Bell’s theorem for quantum cryptography. It was only two decades ago when R. Raussendorf and H. Briegel revolutionised the field of quantum computing with their measurement-based architecture, and at the same time E. Knill, R. Laflamme and G.Milburn revealed that linear optical elements can be used efficiently for quantum computation. We celebrate those historical milestones with a special tutorial day at BQIT:21.

Last year was the first time in our workshop's history that we had gone fully virtual, rather than meeting as a traditional, face-to-face workshop in BQIT’s home of Bristol, UK. The global circumstances that continue to impact us all professionally and personally have forced BQIT once again to be delivered as an all-virtual workshop for 2021. After many lessons learned and valuable feedback from last year's BQIT:20 attendees and organisers, we have organised this year's workshop keeping in mind the benefits of what it means to 'go online'. The access this creates to colleagues across the world who would otherwise be unable to join us, as well as being able to make the workshop free for all attendees due to the lower costs involved in delivering an online workshop, means that we can welcome three times as many attendees to BQIT than previous years. We can continue to connect with each other's research through our virtual poster sessions, whose access is available throughout the workshop, and benefit from written Q&A sessions with our presenters, allowing all attendees the equal chance to have their voices heard. We recognise the extra energy required to stay connected and motivated during these difficult times, and are hugely encouraged to see so many of you willing to continue to connect with us on an online platform.

We take this opportunity to thank each of our speakers and poster presenters, thank you for contributing your technical content. We are especially grateful to each of you for accommodating the unusual circumstances we all find ourselves in and working with us to deliver your presentations online. We would like to thank our phenomenal organisational board, who are listed in full on page 38 of this programme, for their passion and diligent work throughout the past year. To Ross Donaldson, Pieter Kok and Carmen Palacios Berraquero for their invaluable efforts as this year’s external Board members. In addition, we are very grateful for the financial support from this year's sponsors; this enabled BQIT:21 to be free to all attendees. 

It is our hope that you have a productive and enjoyable time while you engage and interact with BQIT:21, and to everyone that has helped take BQIT:21 online, thank you!

**Jorge Barreto and Holly Caskie, on behalf of the BQIT board and organisation team**

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##### This year's workshop agenda is available here: [Virtual BQIT:21](https://drive.google.com/file/d/1vlr166Gjix8RfscGx0zPE27CGjdypTLq/view?usp=sharing)
[Register now](https://forms.office.com/Pages/ResponsePage.aspx?id=MH_ksn3NTkql2rGM8aQVG7KL2U-DA-ZPnB8K0I9N-f1UNlFFUzM5WlM2SEdWVFNTRU5TTVQ1NVhJSi4u) for Virtual BQIT:21. **Registration closes 19th April 2021.**

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/a12e0c1ad3410144cb48557690e4ecaf.png)
![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/c9e20871e47002a42de35a474e8f3846.jpg)

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For further information, please contact us at: **bqit-admin@bristol.ac.uk**

Bristol Quantum Information Technologies Workshop

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After our virtual paper selection process in October we are very happy to report, with strong submissions, we have put together an outstanding technical program together with an excellent set of educational programs. We are confident to bring you a high-quality conference as you all expect from ISSCC.

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ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns".

For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review.

In this edition of the ICPR Conference, there are 1407 Oral/Poster presentations organized in five Tracks: Artificial Intelligence, Machine Learning for Pattern Analysis; Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; Document and Media Analysis; and Image and Signal Processing. The ICPR2020 Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR2020 program.

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Live Presentations on April 26, 2021

Explore Presentations and Content from April 27-30, 2021

**ICPR Browser Link:** https://ailb-web.ing.unimore.it/icpr/paper/176/nn 










**Abstract:**


Focusing on hyperspectral imaging together with deep learning, Sony Europe B.V and University of Padova are proposing together the paper “Semi-supervised Deep Learning Techniques for Spectrum Reconstruction”. We present a family of novel deep learning schemes for hyperspectral data estimation able to work when the hyperspectral information at our disposal is limited. Firstly, we introduce a learning scheme exploiting a physical model based on the backward mapping to the RGB space and total variation regularization that can be trained with a limited amount of HSI images. Then, we propose a novel semi-supervised learning scheme able to work even with just a few pixels labeled with hyperspectral information. The proposed techniques allow to reach impressive performances with very limited supervision with ground truth data.

2134 - Semi-supervised Deep Learning Techniques for Spectrum Reconstruction

**ICPR Browser Link:** https://ailb-web.ing.unimore.it/icpr/paper/76/nn 










**Abstract:**


Among all clustering problems, the k-means problem is probably the most well-known one. Lloyd algorithm is a simple and elegant algorithm that gives a certain local optimum for this problem. However, this algorithm has two severe drawbacks. First, there is no theoretical guarantee for the solution quality. Second, if the number of points is very large, it could be infeasible to run this algorithm. In this paper, we improve the analysis of the uniform sampling-based algorithm and propose a novel sub-linear time clustering algorithm called Double-K-MC2 sampling. Experiments on the data clustering task and the image segmentation task have validated the effectiveness of our algorithms.

2137 - Uniform and Non-uniform Sampling Methods for Sub-linear Time k-means
Clustering

**ICPR Browser Link:** https://ailb-web.ing.unimore.it/icpr/paper/540/nn 










**Abstract:**


We study the impact of highly correlated image content on the estimated photo response non-uniformity (PRNU) of a sensor unit and its impact on the sensor identification performance. Based on eight publicly available finger vein datasets, we show formally and experimentally that the nature of finger vein imagery can cause the estimated PRNU to be biased by image content and lead to a fairly bad PRNU estimate. Such bias can cause a false increase in sensor identification performance depending on the dataset composition. Our results indicate that independent of the biometric modality, examining the quality of the estimated PRNU is essential before the sensor identification performance can be claimed to be good.

2139 - Can you really trust the sensor’s PRNU? How image content might impact the finger vein sensor identification performance

**ICPR Browser Link:** https://ailb-web.ing.unimore.it/icpr/paper/279/nn 










**Abstract:**


Monocular depth estimation plays a key role in 3D scene understanding, and a number of recent papers have achieved significant improvements using deep learning based algorithms. Most papers among them proposed methods that use a pre-trained network as a deep feature extractor and then decode the obtained features to create a depth map. In this study, we focus on how to use this encoder-decoder structure to deliver meaningful representation throughout the entire network. We propose a new network architecture with our suggested modules to create a more accurate depth map by bridging the context between the encoding and decoding phase. First, we place the pyramid block at the bottleneck of the network to enlarge the view and convey rich information about the global context to the decoder. Second, we suggest a skip connection with the fuse module to aggregate the encoder and decoder feature. Finally, we validate our approach on the NYU Depth V2 and KITTI datasets. The experimental results prove the efficacy of the suggested model and show performance gains over the state-of-the-art model.

2141 - Delivering Meaningful Representation for Monocular Depth Estimation

**ICPR Browser Link:** https://ailb-web.ing.unimore.it/icpr/paper/1192/nn 










**Abstract:**


Automatic liver tumor segmentation from 3D Computed Tomography (CT) is a necessary prerequisite in the interventions of hepatic abnormalities and surgery planning. However, accurate liver tumor segmentation remains challenging due to the large variability of tumor sizes and inhomogeneous texture. Recent advances based on Fully Convolutional Network (FCN) in liver tumor segmentation draw on success of learning discriminative multi-level features. In this paper, we propose a Deep Attentive Refinement Network (DARN) for improved liver tumor segmentation from CT volumes by fully exploiting both low and high level features embedded in different layers of FCN. Different from existing works, we exploit attention mechanism to leverage the relation of different levels of features encoded in different layers of FCN. Specifically, we introduce a Semantic Attention Refinement (SemRef) module to selectively emphasize global semantic information in low level features with the guidance of high level ones, and a Spatial Attention Refinement (SpaRef) module to adaptively enhance spatial details in high level features with the guidance of low level ones. We evaluate our network on the public MICCAI 2017 Liver Tumor Segmentation Challenge dataset (LiTS dataset) and it achieves state-of-the-art performance. The proposed refinement modules are an effective strategy to exploit multi-level features and has great potential to generalize to other medical image segmentation tasks.

2142 - DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume

**ICPR Browser Link:** https://ailb-web.ing.unimore.it/icpr/paper/858/nn 










**Abstract:**


Anthropometric body measurements are importantfor industrial design, garment fitting, medical diagnosis andergonomics. A number of methods have been proposed toestimate the body measurements from images, but progress hasbeen slow due to the lack of realistic and publicly availabledatasets. The existing works train and test on silhouettes of 3D body meshes obtained by fitting a human body model to the commercial CAESAR scans. In this work, we introduce theBODY-fit dataset that contains fitted meshes of 2,675 female and1,474 male 3D body scans. We unify evaluation on the CAESAR-fit and BODY-fit datasets by computing body measurements fromgeodesic surface paths as the ground truth and by generating two-view silhouette images. We also introduce BODY-rgb - a realisticdataset of 86 male and 108 female subjects captured with an RGBcamera and manually tape measured ground truth. We propose a simple yet effective deep CNN architecture as a baseline method which obtains competitive accuracy on the three datasets.

2145 - Silhouette Body Measurement Benchmarks

**ICPR Browser Link:** https://ailb-web.ing.unimore.it/icpr/paper/434/nn 










**Abstract:**


Reinforcement learning is an area of machine learning which recently has been applied in a variety of domains. A lot of challenging problems such as playing Atari video games, controlling robotics and many other fields have been solved in past few years. But when it comes to multi-agent environment, there remains much more complex challenges due to the some multiagent pathologies such as the environment non-stationary problem, curse of dimensionality, credit assignment problem and relative overgeneralization. Inspired by the application of attention mechanism in machine translation and other related domains, we propose an attention based approach called attention value decomposition network (AVD-Net), which capitalizes on the coordination relations between agents.

2147 - AVD-Net: Attention Value Decomposition Network For Deep Multi-Agent Reinforcement Learning

**ICPR Browser Link:** https://ailb-web.ing.unimore.it/icpr/paper/1107/nn 










**Abstract:**


Degraded document image binarization is one of the most challenging tasks in the domain of document image analysis. In this paper, we present a novel approach towards document image binarization by introducing three-player min-max adversarial game. We train the network in an unsupervised setup by assuming that we do not have any paired-training data. In our approach, an Adversarial Texture Augmentation Network (ATANet) first superimposes the texture of a degraded reference image over a clean image. Later, the clean image along with its generated degraded version constitute the pseudo paired-data which is used to train the Unsupervised Document Binarization Network (UDBNet). Following this approach, we have enlarged the document binarization datasets as it generates multiple images having same content feature but different textual feature. These generated noisy images are then fed into the UDBNet to get back the clean version. The joint discriminator which is the third-player of our three-player min-max adversarial game tries to couple both the ATANet and UDBNet. The three-player min-max adversarial game stops, when the distributions modelled by the ATANet and the UDBNet align to the same joint distribution over time. Thus, the joint discriminator enforces the UDBNet to perform better on real degraded image. The experimental results indicate the superior performance of the proposed model over existing state-of-the-art algorithm on widely used DIBCO datasets.

2150 - UDBNET: Unsupervised Document Binarization Network via Adversarial Game

**ICPR Browser Link:** https://ailb-web.ing.unimore.it/icpr/paper/756/nn 










**Abstract:**


In this work, we propose a long-term RGBD trackerthat achieves state-of-the-art performance on the PrincetonRGBD, STC and CDTB datasets and runs nearly real-time(20fps). The tracker is based on non-stationary formulation of the deep Discriminative Correlation Filter (DCF). The DCFfeature channels are modulated by the depth context in eachlocation which makes the tracker robust against occlusion andbackground clutter. Moreover, the non-stationary DCF also performs well in target re-detection enabling long-term tracking.

2151 - DAL: A Deep Depth-Aware Long-term Tracker

**ICPR Browser Link:** https://ailb-web.ing.unimore.it/icpr/paper/1224/nn 










**Abstract:**


We present FourierNet, a single shot, anchor-free, fully convolutional instance segmentation method that predicts a shape vector. Consequently, this shape vector is converted into the masks’ contour points using a fast numerical transform. Compared to previous methods, we introduce a new training technique, where we utilize a differentiable shape decoder, which manages the automatic weight balancing of the shape vector’s coefficients. We used the Fourier series as a shape encoder because of its coefficient interpretability and fast implementation.
FourierNet shows promising results compared to polygon representation methods, achieving 30.6 mAP on the MS COCO 2017 benchmark. At lower image resolutions, it runs at 26.6 FPS with 24.3 mAP. It reaches 23.3 mAP using just eight parameters to represent the mask (note that at least four parameters are needed
for bounding box prediction only). Qualitative analysis shows that suppressing a reasonable proportion of higher frequencies of Fourier series, still generates meaningful masks. These results validate our understanding that lower frequency components hold higher information for the segmentation task, and therefore, we can achieve a compressed representation. Code is available at github.com/cogsys-tuebingen/FourierNet.

2133 - Combining Deep and Ad-hoc Solutions to Localize Text Lines in Ancient Arabic Document Images

Olfa Mechi

2133 - Combining Deep and Ad-hoc Solutions to Localize Text Lines in Ancient Arabic Document Images

Olfa Mechi

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2134 - Semi-supervised Deep Learning Techniques for Spectrum Reconstruction

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