3rd IAPR Summer School on Document Analysis

Theme: Deep Learning Applications for Document Analysis


Dates: 19th to 23rd August, 2019
Venue: Islamabad, Pakistan

Registration
Early Bird
(till June 15, 2019):

Student: PKR 3,500/- (USD 25/-)
Professional: PKR 15,000/- (USD 110/-)
Regular Registration
(till July 15, 2019):

Student: PKR 5,000/- (USD 35/-)
Professional: PKR 20,000/- (USD 145/-)
Late Registration
(till August 17, 2019):

Student: PKR 7,500/- (USD 55/-)
Professional: PKR 25,000/- (USD 180/-)
Good News: Student Registration Fee has been significantly reduced, REGISTER NOW! May 8, 2019 -- Registrations are open, click here to register April 26, 2019 -- IAPR approved PPRS proposal to hold Summer School on Document Analysis 2019 in Pakistan

About This Event

We are pleased to announce that the 3​rd​ IAPR TC10/TC11 Summer School on Document Analysis and Recognition, endorsed by IAPR TC-10 (Technical Committee on Graphics Recognition) and IAPR TC-11 (Reading Systems) in association with Pakistan Pattern Recognition Society (PPRS) will be held at the National University of Science and Technology (NUST), Pakistan from Aug 19th to 23rd, 2019.


The 3​rd IAPR Summer School on Document Analysis is a premier gathering for researchers, scientists and practitioners in the deep learning community. Objective of the school is to provide the participants with different aspects and in-depth analysis of the latest research being carried out in the field of document understanding. Specialists from Germany, France, China and Pakistan will deliver high-quality content and will impart hands-on training to the school's audience at NUST, which is housed in the scenic landscapes of the second most beautiful capital of the world - Islamabad.School will provide a dazzling opportunity to participants to polish their learning skills and to develop their cognitive thinking. The speakers are recognized experts in their field and will shed light on Layout Analysis, OCR, Text Identification, Graph-based Methods and Image Interpretation and will also discuss the architectural aspects and state-of-the-art research in the field of document understanding and analysis. By the end of the school participants would be able to learn about:

  • Graph based methods
  • Connectionist Document Classification
  • Multi-dimensional Neural Recognition at industrial scale
  • OCR of Complex Scripts
  • Document Understanding

Highlights

  • Talks on Multi-dimensional Neural Recognition at industrial scale, Long Short-Term Memory Networks for Handwriting Recognition, Graph Based Methods, OCR, Document Image Processing and many other topics
  • Complimentary accommodation for international speakers and students
  • Return air fares for international speakers will be sponsored
  • Specialist in their respective fields will provide tutorials and demos
  • Programming competition

Focus Areas

The school will highlight the following core areas:

  • Document Understanding
  • Layout Analysis
  • Information Retrieval
  • Optical Character Recognition

The school is organized with the motivation to promulgate advanced machine learning and computer vision techniques and their applications. The school will be conducted by well-renowned experts and researchers in their domains.

Topics To Be Covered

The school will address the following topics:

  1. Deep Neural Networks for Document analysis: Multidimensional Neural Recognition at Industrial Scale, Deep Learning for Historical Document Analysis and Convolutional Neural Networks for Document Classification
  2. Handwriting Recognition: On-Line Handwriting Recognition, Long Short-Term Memory Networks for Handwriting Recognition
  3. Optical Character Recognition: Optical Character Recognition of Complex Scripts
  4. Camera Based Document Analysis: Camera Based Analysis of Texts and Documents
  5. Document Analysis Workflow: Opportunity Areas in Document Analysis; Present Past and Future of Document Analysis

Speakers

Cheng-Lin Liu

CASIA, China

Seiichi Uchida

Kyushu University, Japan

Marcus Liwicki

Luleå, Sweden

Adrian Ulges

RheinMain University of Applied Sciences, Germany

Ulrich Schwanecke

RheinMain University of Applied Sciences, Germany

Sheraz Ahmed

DFKI, Germany

Organizers

Dr. Faisal Shafait

Professor
National University of Sciences and Technology, Pakistan

Dr. Imran Siddique

Professor
Bahria University, Pakistan

Dr. Khurram Khurshid

Professor
Institute of Space and Technology, Pakistan

Dr. Adnan Ul-Hasan

Research Lead
Deep Learning Lab, National Center of Artificial Intelligence, Pakistan

Dr. Imran Malik

Assistant Professor
National University of Sciences and Technology, Pakistan

Dr. Shiekh Faisal Rashid

Assistant Professor
University of Engineering and Technology, Lahore Pakistan

Nosheen Abid

Research Associate
National University of Sciences and Technology, Pakistan

Jaleed Khan

Research Associate
Institute of Space and Technology, Pakistan

Association

Supported By

Organized By

Collaborators

How To Reach The Venue

By Train -- Islamabad Railway Station

You can take a cab or book Uber/Careem to reach NUST. It is 15 min (11 Km) from the Margalla Railway Station, Islamabad.

By Road -- From M1/M2 Motorways

The main entrance of NUST is on Kashmir Highway, which is connected to M1/M2 Motorway on a signal-free corridor.

By Air -- From Islamabad International Airport

Islamabad International Airport is at a drive of 1 hour from the event venue. Shuttle service from the airport to the event venue/major hotels will be provided to the participants. Please provide your arrival details to the organizing committee at least 48 hours before your arrival.

Map

School of Electrical Engineering and Computer Science
National University of Sciences and Technology
Sector: H-12, Islamabad

Accomodation

There are several hotels in Islamabad where participants can get accommodation such as Islamabad Serena Hotel (from $275), Ramada Hotel (from $150), Islamabad Club, and Best Western Hotel (from $70). Furthermore, on-campus accommodation will also be available at NUST (from $30). NUST has numerous boarding facilities for students as well as academicians visiting from abroad.

Get in touch

Phone

(92)51 90852064

Address

134 Street 9, I-10/3 Islamabad, Pakistan 44000

Facebook

facebook link

Registration
Early Bird
(till June 15, 2019):

Student: PKR 3,500/- (USD 25/-)
Professional: PKR 15,000/- (USD 110/-)
Regular Registration
(till July 15, 2019):

Student: PKR 5,000/- (USD 35/-)
Professional: PKR 20,000/- (USD 145/-)
Late Registration
(till August 17, 2019):

Student: PKR 7,500/- (USD 55/-)
Professional: PKR 25,000/- (USD 180/-)