The marks for the Lab total and Group Project have been released. Penalties have been applied, where relevant.
You can access your marks by logging in to your account and typing:
9517 classrun -sturec
The WebCMS3 system updates overnight so you may not be able to access the marks through WebCMS3 until tomorrow. To see your marks on WebCMS3:
Dear 9517 students
The course admin Alfred and myself have been available all day today from 9-5 PM, as promised. We are now signing off.
I might check again tonight, if time permits, and also tomorrow morning before submission time.
As always, all queries should be sent by emailing cs9517@cse.unsw.edu.au
Good luck with your submission.
Best wishes
Sowmya
LIC COMP 9517 20T3
There have been cases where the exam paper link referred to two different papers.
If you have your Exam Paper page in Moodle still open, please come back to that page and click on the last part of the paper link, after https://doi.org/. Then, on the web site, please click on the paper link to down load the paper
Then, please check if the paper you are reviewing for the exam is the same.
If not, please download the correct paper using the last part of the link, as described above.
For those who have clicked on Finish Attempt already, please email us your paper title AND the link you used urgently on cs9517@cse.unsw.edu.au, so we can check if your paper is correct.
Dear 9517 students
I am finding a number of questions, on the exam, being posted on Piazza today.
The exam instructions were very clear- please post all queries by EMAIL to cs9517@cse.unsw.edu.au, and I shall answer by email.
Piazza is not appropriate for many reasons, and I shall not answer exam queries posted there.
Best wishes
Sowmya
LIC COMP9517 T3 2020
We have re-opened peer review for those who did not complete the review yet.
Please complete by Monday 30 November.
Peer review must be completed in order to finalise the calculation of the project mark.
Dear 9517 students
A quick reminder that the 9517 exam will be held tomorrow Sat Nov 28th, starting 9 AM.
Detailed instructions have been posted in previous messages, do re-check.
I wish you all the best in your exam preparations.
Best wishes
Sowmya
LIC COMP9517 20T3
Dear 9517 students
Hope all is going well.
UNSW has released an online exam preparation checklist. This has been uploaded under Course Work- Assessments- Exam.
Do read it and make sure you are ready for the exam on the day.
The final exam will be available on Moodle from 9am on Saturday 28th November to 9am on Sunday 29th November , via the link Final Exam Paper . To format your answer, please use the template available via the link Final Exam - Template .
Your exam answer should be submitted using the link Final Exam - Submission via Turnitin . Do not use the file upload box within the Moodle quiz. You will be allowed unlimited submissions up to the due date. Your similarity score will be visible, but after the third submission it will not be recalculated until after the exam finishes. <o:p></o:p>
If you have any questions about the exam paper you may email cs9517@cse.unsw.edu.au . The LIC will be available on Saturday Nov 28th from 9 AM to 5 PM to answer any questions sent via email to cs9517@cse.unsw.edu.au . Instructions on what to do in the event of technical issues or illness during the exam are included at the start of the exam paper. <o:p></o:p>
Dear 9517 students
Hope you are well and safe.
The final examination for this course will be a 24 hour exam. It will start on SATURDAY Nov 28th, 09:00 AEST , with submission due by SUNDAY Nov 29th, 08:59 AEST . The exam will be conducted via Moodle, please log into Moodle on the day. Detailed final exam instructions will be posted shortly.
The exam will be in the style of Lab5, already released.
Pre-exam consultations : All lecturers will answer questions on the course content starting from now until the exam date. Questions will be answered within 24 hours.
Please post your questions on Piazza, so that all answers are available to everyone. Also, first check whether your question has already been asked and answered before posting your question.
Sowmya
LIC COMP 9517 T3 2020
The peer review for all groups is now open. This is for each member of the group to enter participation percentage for all other group members, including themselves. The deadline for this activity is 27 November at 17:00 AEST time.
To enter the peer-review, log in into Moodle and click on . You will be taken to the review page, where you can select percentage of all team member contributions, and optionally add comments.
Please note: all group members must enter their peer-review. The project marking will not be completed unless all members fill this in.
The marks for the Individual Component of the Project have been released. You can access your marks by logging in to your account and typing:
9517 classrun -sturec
The WebCMS3 system updates overnight so you may not be able to access the marks through WebCMS3 until tomorrow. To see your marks on WebCMS3:
A reminder that the group project final report and code submission are due
TOMORROW, ie Saturday 21st November at 11:59am (midday AEST time).
For details of how to submit, scroll down for the message posted earlier.
Please note:
1. Only one student in each group needs to submit the project.
2. Please DO NOT include your data in the submission, to keep the size down. You can add a README file explaining how to run it. Only include your code and the README file in the zip file (submitted on WebCMS3), and the report in a pdf file (submitted on Moodle). However, if you ha ve a large trained model, please do not include it in the submission, but keep it unchanged in case we request it.
3. The maximum submission size is 20Mb, which should be enough. If, after following the instructions above, your submission is still greater than 20Mb, please email cs9517@cse.unsw.edu.au.
4. Please make a screen shot of your submission page and keep submission files unchanged in case of any errors.
Dear 9517 students
Lab5, already released, is in the format of the final exam. You may treat it as a sample final exam paper.
Best wishes
Sowmya
Dear 9517 students
The T3 2020 myExperience survey is still open.
You can complete your survey via:
Please take the time to complete the survey. Your constructive feedback is highly valued and appreciated.
Your written feedback on the "fully online" experience would also be very useful.
Sowmya
LIC COMP 9517 T3 2020Hello everyone, hope you are keeping safe and well.
The project demos yesterday and today went pretty smoothly, from my own experience and that of the other Streams. A big thank you to all students, lecturers, tutors and course administrators for working together to make this a good experience for everyone. I enjoyed the presentations and hope you did too.
Sowmya and 9517 teamThe project demos will take place on Thursday 19 November between 9:00 and 11:00 am, and Friday 20 November between 12:00 and 2:00 pm- ALL TIMES IN AEST.
The group project report will be submitted via Turnitin on Moodle. This link is now available on Moodle and is labelled "Group Project Report Submission via Turnitin". You will be able to see your similarity score. You can submit as many times as you like up to the due date, which is Saturday 21st November at 11:59am (midday AEST time) , but after the 3rd submission Turnitin will take 24 hours to generate your updated similarity score. So use your submissions wisely.
A link is now open on WebCMS3 for you to submit your code only for the group project . This link can be found under Course Work->Assessments->Project->Project Source Code Submission 20T3 . A .zip file is the only format that will be accepted and the max file size is 20Mb. The submission due date is the same as the Group Project Report, ie Saturday 21st November at 11:59am (midday AEST time.
NOTE:
Only one student in each group needs to submit the report and code -
we do
not
want 4-5 identical submissions of the same report and code from group members!
The project demos will take place this week on Thursday 19 November between 9:00 and 11:00 am, and Friday 20 November between 12:00 and 2:00 pm- ALL TIMES IN AEST.
Please make sure you have checked the project demo schedule in the Assessments-Project section to find your allocated day, time and stream #.
All students in each group must be present for their group's demo. Please join the meeting at least 15 minutes prior to your allocated start time, with your microphone muted. You are welcome and encouraged to watch other demos.
The meeting links and further instructions can be found in the project demo instructions in Assessments/Project
Dear 9517 students
Hope you are safe and well.
The COMP9517 exam is a 24 hour exam, and will be held on SATURDAY 28th Nov 2020.
As stated in the course outline, the exam is worth 40% of the total course mark. It consists of critiquing a paper from the literature based on the course contents, just like Lab 5 but with a different paper.
You will have 24 hours to complete the exam, from 9AM AEST on 28th November to 8:59 AM AEST on 29th November.
You will submit your exam solution via Moodle (the link will be announced). Please await further instructions in the exam week.
Wishing you all the best in the exam.
Sowmya
LIC COMP 9517 20T3
.
In light of the project demos on Thursday and Friday of week 10, there is no lecture on Monday Nov 16th .
The timetabled hours may be used for group work on the project and consultation with your tutors.
Best wishes
Sowmya
LIC COMP 9517 T3 2020
The slides for Robin Hilliard's talk today have been uploaded under Lectures-Week 9-Industry Talk.
Robin has requested that the slides are prepared for UNSW Computer Vision Course staff and students - do not distribute further thanks. The slides are so footmarked.
Please respect his request and do NOT distribute.
The industry talks are based on our long standing relationships with industry and provide valuable insight into industry needs and processes in this area. Some of our graduates have found employment in these industries, after mutual introduction through this course.
Being respectful of their requests is necessary in order to maintain these relationships, besides being the right to do! I would very much appreciate your cooperation.
Best wishes
Sowmya
LIC COMP9517 T3 2020
Please join the lecture, it has started
The lecture today at 12:00 has not started yet. we are trying to let the guest in. Please wait, the lecture should be starting soon.
The marks for Lab 4 have been released. Please note that late penalties, if any, have not yet been applied, but will be applied at the time of grading. You can access your marks by logging in to your account and typing:
9517 classrun -sturec
The WebCMS3 system updates overnight so you may not be able to access the marks through WebCMS3 until tomorrow. To see your marks on WebCMS3:
The solution for Lab 4 is available on the course website under Course Work->Lab Activities->Lab 4.
The project demo schedule has been updated.
Hi all,
There has been a mistake in the Project Demo Schedule, some groups are assigned to incorrect tutors. We are working to update the schedule. We will send a message again when finished. Apologies for any inconvenience.
Dear 9517 students
Hope you are safe and well.
This is a reminder on the lab hour and consultations this week and next.
1. There are no lab questions set for this week , however the lab hour on Friday 1-2 PM will run, and tutors will be available to answer questions. You may ask questions about last week's lab, lecture material or your group project.
2. In addition, tutors have been asked to schedule one on one 15 minute meetings with each project group this week, to be scheduled when mutually convenient. If you have not met yet, please contact your tutor and arrange this now.
3. In week 10 , tutors have again been asked to schedule one on one 15 minute meetings with each project group from Monday-Wed. Please contact your tutor and arrange a time to meet in week 10.
Best wishes
Sowmya
LIC, COMP9517 T3 2020
The project demos will be held in Week 10:
Instructions explaining how the project demos will be run have been posted to the course website under Course Work->Assessments->Project-> Project Demo Instructions - 20T3 . Please make sure you read these instructions carefully well before the date of the demos and check the Project Demo Schedule so that you know the date, time and stream # of your demo.
The demos will be held on Microsoft Teams and due to a tight schedule, if you miss your slot we will not be able to give you another one. Please join the Teams meeting at least 15 minutes prior to your scheduled time . Please join with your microphone muted so as not to disturb the other demos. You are welcome to stay and watch other demos.
Remember all students from a group MUST be present for that group's demo.
This Friday, we have an invited talk by
Robin Hilliard
, RocketBoots Sydney.
Robin is a regular industry speaker in COMP9517, and we are grateful for his support.
Invited Talk by Robin Hilliard , RocketBoots Sydney
Title : Real Life Application of Image Classifiers to Self Checkout Fraud
Description : So you can classify an image of a Kit Kat being scanned at a self checkout, great. How about a Kit Kat not being scanned at a self checkout, or something that looks 98% like a Kit Kat but 99% like a Moro Bar? The RocketBoots team (including several UNSW graduates) have been designing, building and rolling out a computer vision product that helps self checkout supervisors identify and assist customers having difficulty using the self checkouts correctly. As usual there are all sorts of complexities and edge cases to deal with, and we will describe some of the issues and solutions to them in this talk.
Speaker Biography:
Robin Hilliard founded RocketBoots in 2004 and has supervised its evolution from an Internet application consultancy and solution provider through increasing levels of computer vision R&D to today's focus on computer vision software deployed at hundreds of retail and financial sites across Australia. Prior to RocketBoots Robin was involved in the early days of web video and “Web 2.0" applications at Macromedia, survived the dot com boom and worked on some of Australia’s largest retail finance projects at Andersen Consulting. He has a BSc in Computer Science and Pure Mathematics from Sydney University.
Hello everyone
The Friday lecture of Week 9 for COMP9517 will be held on Friday, 13th Nov, 12-1 PM. It will be delivered through Teams Live. Details of the talk are being posted in another message.
Join the class by clicking on this link:
https://teams.microsoft.com/l/meetup-join/19:mee...
See you all then.
Do test the link beforehand and let me know if there is a problem.
Best wishes
Sowmya
LIC, COMP9517, T3 2020Dear 9517 students
The recorded lectures for today, ie Monday week 9, have been uploaded to Moodle.
If you have any questions about the contents, please post them on Piazza.
Best wishes
Sowmya
Due to problems with Teams Live today, students could not view and hear the lectures. Our sincere apologies.
We are currently recording the lectures, and will upload them to Moodle later this afternoon.
Best wishes
Sowmya
Please try this new link (as the old did not work):
The T3 2020 myExperience survey is now open.
You can complete your survey via:
Please take the time to complete the survey. Your constructive feedback is highly valued and appreciated.
Your written feedback on the "fully online" experience would also be very useful.
Sowmya
LIC COMP 9517 T3 2020
A homework exercise on Deep Learning along with Resources, has been posted under Lectures-Week 8
If you have not used Deep Learning tools before, this would be of help.
The lecture slides for week 9 are now available on the course website under Course Work -> Lectures -> Week 9
We have 2 talks on Computer Vision Applications in Week 9, Monday Nov 9th:
12.05 PM Dr Xun Li will talk on
``Intelligent Surveillance System: the gap between now and future-Using CCTV for human behaviour analysis''
Understanding human behaviours via the analysis of videos have been an essential task in the field of computer vision. It can bring benefits to a wide variety of applications in our daily li fe, such as Human Gesture based Control, Robotics, Human-Machine interaction, Medical Systems, and Intelligent Surveillance Systems. In this research, we aim at building an automated visual surveillance system that can perform pedestrian tracking and human behaviour analysis in real-time. More specifically, by analysing the human behaviours from videos taken by surveillance cameras,, our machine learning algorithms aim to detect high risk pedestrians exhibiting behaviours of interest. In this presentation, I will introduce basic technologies used in pedestrian tracking, pose estimation and action recognition. Then I will give a brief introduction of our research on using these technologies to solve real-world problems.
1.05 PM Dr Shuchao Pang will talk on ``Correlation Matters: Multi-scale Fine-grained Contextual Information Extraction for Hepatic Tumour Segmentation''
Automatic tumour segmentation has been used as a diagnostic aid in the identification of diseases such as tumours from liver CT scans, and their treatment. Owing to their success in computer vision tasks, the state-of-the-art Fully Convolutional Networks (FCNs) or U-Net based models have often been employed in many recent studies for automatic tumour segmentation to learn numerous weight-shared convolutional kernels and extract various semantic features. However, the correlation between different tumour regions in feature maps cannot be easily captured due to the lack of contextual dependencies, which in turn limits the representative capability of the adopted models and thus affects the accuracy of tumour segmentation results. To resolve this issue, we propose a novel framework for segmentation of tumours in liver CT scans, which can explicitly extract multi-scale fine-grained contextual information by adaptively aggregating local features with their global dependencies. The proposed multi-scale framework features a light model with a very few additional parameters, and also its visualization capability significantly boosts network interpretability. Experimental results on a real-world liver tumour CT dataset illustrate that the proposed framework achieves state-of-the-art performance in terms of a number of widely used evaluation criteria for the hepatic tumour segmentation task.
Hello everyone
The FIRST lecture of Week 9 for COMP9517 will be held on MONDAY, 9th Nov, 12-2 PM. It will be delivered through Teams Live.Details of the talks are being posted in another message.
Join the class by clicking on this link:
https://teams.microsoft.com/l/meetup-join/19:mee...
See you all then.
Best wishes
Sowmya
LIC, COMP9517, T3 2020
Hello everyone,
Here is the link to the Teams Live session for the 2nd lecture of Week 8 on Deep Learning, 6 Nov., 12:00-1:00PM :
https://teams.microsoft.com/l/meetup-join/19:mee...
You can join the lecture by clicking on the link.
See you then!
Best regards,
Gelareh
Lecturer, COMP9517, T3 2020
Dear 9517 students
Hope you are safe and well.
The week 10 project demos will be held on
Nov 19th Thursday 9-11 AEST (NON-TIMETABLED HOURS)
Nov 20th Friday 12-2 AEST (timetabled class hours)
A small number of students may have a timetable clash in the Thursday slot.
I f you have a timetable clash , please email cs9517@cse.unsw.edu.au NOW along with the
nature of the clash, so we can schedule you on the Friday.
Best wishes
Sowmya, LIC 9517 T3 2020
Dear students
Hope you are well and safe.
This week onwards, each project group should meet with their assigned tutor at least once for a 15 minute meeting, where you discuss progress on the group component of the project and get tutor feedback. This meeting may be held at any time that is mutually convenient. Tutors have already been requested to reach out and arrange these meetings, so please do organise a time and meet with your tutor as a group.
This week, there is also a Lab session on Friday Nov 6th, 1-2 PM. The lab material has been released as Lab5- it is in the style of the final exam, and will NOT be assessed. Please read and attempt it, and use the lab session to get your doubts clarified. If you go in prepared with your questions, you will get better feedback.
Best wishes
Sowmya
LIC COMP 9517 T3 2020
Lab 5 is now available on the course website under Course Work > Lab Activities > Week 8
Hello everyone,
Here is the link to the Teams Live session for the 1st lecture of Week 8 on Pattern Recognition & Deep Learning for Monday, 2 Nov., 12:00-2:00PM :
https://teams.microsoft.com/l/meetup-join/19:mee...
You can join the lecture by clicking on the link.
See you on Friday!
Best regards,
Gelareh
Lecturer, COMP9517, T3 2020
The lecture slides on Deep Learning for week 8 are now available on the course website under Course Work -> Lectures -> Week 8
Lab 4 submission link wasn't working, now is fixed. Those who already attempted to submit, please submit again. I case of any error, please keep a screen shot of the submission page. Also please remember that the submission deadline is Tue 03 Nov 11:59:59 ( midday )
Submission link for Lab 4 is now open on the course website, under Course Work->Lab Activities->Week 7
The solution for Lab 3 is now available on the course website under Course Work->Lab Activities->Lab 3.
The marks for Lab 3 have been released. Please note that late penalties, if any, have not yet been applied, but will be applied at the time of grading. You can access your marks by logging in to your account and typing:
9517 classrun -sturec
The WebCMS3 system updates overnight so you may not be able to access the marks through WebCMS3 until tomorrow. To see your marks on WebCMS3:
Links to tutorials on scikit-learn have been provided under Lectures-Week7-Scikit-learn Tutorials
Hello everyone,
Here is the link to the Teams Live session for the second lecture of Week 7 on Pattern Recognition for Friday, 30th Oct, 12:00-1:00PM :
https://teams.microsoft.com/l/meetup-join/19:mee...
You can join the lecture by clicking on the link.
See you on Friday!
Best regards,
Gelareh
Lecturer, COMP9517, T3 2020
The lecture slides on pattern recognition (Part 2) for week 7 are now available on the course website under Course Work -> Lectures -> Week 7
Lab 4 is now available on the course website under Course Work > Lab Activities > Week 7
Dear students
Hope you are safe and well.
Based on feedback, we have decided to EXTEND the deadline for the Project Individual Component to
Thursday week 8, Nov 5th, 19:59:59
Note that this date has been chosen carefully, so as not to clash with the lab submission in the same week, and also to allow you to start on your group component and have discussion with your tutor.
No further extension will be given.
If you finish your Project Individual Component early, do start on your group component immediately thereafter.
Best wishes
Sowmya
Hello everyone,
Here is the link to the Teams Live session for the first lecture of Week 7 on Pattern Recognition on Monday, 26th Oct, 12:00-2:00PM :
https://teams.microsoft.com/l/meetup-join/19:mee...
You can join the lecture by clicking on the link.
See you on Monday!
Best regards,
Gelareh
Lecturer, COMP9517, T3 2020
The lecture slides on pattern recognition (Part 1) for week 7 are now available on the course website under Course Work -> Lectures -> Week 7
The solution for Lab 2 is now available on the course website under Course Work->Lab Activities->Lab 2.
The marks for Lab 2 and Assignment 1 have been released. Please note that late penalties, if any, have not yet been applied, but will be applied at the time of grading. You can access your marks by logging in to your account and typing:
9517 classrun -sturec
The WebCMS3 system updates overnight so you may not be able to access the marks through WebCMS3 until tomorrow. To see your marks on WebCMS3:
Submission link for project source code and report submission (Individual) is now open on the course website, under Course Work->Assessments->Project
Please note, WebCMS3 will be off-line tomorrow, 21 October, from 6 pm to 9 pm for planned maintenance.
Piazza forum will still be open for any questions.
Project and Lab student/group lists are now available under Course Work->Assessments at the top of the page. There are two lists - one sorted by group name and one sorted by student ID. Please use these lists to see which group you are in and who your tutor is.
Dear students
Hope you are safe and well.
This week, week 6, is Flexible Week. In COMP9517, there will be NO LECTURES, NO LAB this week.
Instead, you should start work on your project, both individual and group components. You should meet with your project group for initial planning, and also arrange to meet with your tutor. For the tutor meeting, you may use either the regular lab hour, or any other mutually convenient time that you arrange with your tutor.
Submission link for the Lab 3 is now open on the course website, under Course Work->Lab Activities->Week 5
The group project specification and marking criteria are now available on the course website under Course Work->Assessments->Project.
In weeks 6, 8 and 9, each group will be meeting individually with your tutor weekly on Teams to discuss the progress of your project. These meetings count towards your assessment (see marking criteria). You may use the scheduled lab session hour on Fridays 1-2PM or arrange another time with your tutor. Over the next few days your tutor will set up a Team on Microsoft Teams for each group. The Team name will be the same as your group name. You may use the Team to communicate with your group members as well as your tutor.
In week 6, make sure you meet with your tutor and start on the project.
In week 7, we have a lab, therefore the meeting has to be outside the lab time.
In weeks 8 and 9, there are no scheduled labs, therefore the lab hour may be used if preferred, or you may make an appointment with your tutor at any other time.
Dear students
We are looking for Engineering and Computer Science students with interests in computer vision, machine and deep learning to work with us on projects in the medical imaging area in 2021. We already have a number of medical and engineering students in the team, and we are looking to increase the number of engineering students who can contribute to the team.
More information may be found at:
VIP InsightMed
Best wishes
Sowmya
Dear students
All students in COMP & SENG courses should have received an email about a
survey
about your experiences this term, run by CSE and your CSE Student Representatives
This survey will be used to help lecturers address any concerns about courses this term, as well as to plan class offerings in 2021.
The School of CSE will be giving away two $100 gift cards for completing the survey - one to an undergraduate student and one to a postgraduate student. All you need to do to enter the draw to win is to complete the surveys !
This survey will be open until Monday the 18th of October at 23:59:59 AEDT .
More details are in your email. The survey link is at survey link
Your inputs are requested by the school
The assessment question in Lab3 has been modified, please re-check before lab today.
Lab 3 is now available on the course website under Course Work > Lab Activities > Week 5
The lecture slides on Tracking for week 5 are now available on the course website under Course Work -> Lectures -> Week 5
The lecture slides (updated) on Motion for week 5 are now available on the course website under Course Work -> Lectures -> Week 5
Hello everyone
The SECOND lecture of Week 5 for COMP9517 will be held on FRIDAY, 16th Oct, 12-1 PM. It will be delivered through Teams Live.
Join the class by clicking on this link:
https://teams.microsoft.com/l/meetup-join/19:mee...
See you all then.
Best wishes
Sowmya
LIC, COMP9517, T3 2020The lecture slides on Motion for week 5 are now available on the course website under Course Work -> Lectures -> Week 5
The solution for Lab 1 is now available on the course website under Course Work->Lab Activities->Lab 1.
The marks for Lab 1 have been released. Please note that late penalties, if any, have not yet been applied, but will be applied at the time of grading. You can access your marks by logging in to your account and typing:
9517 classrun -sturec
The WebCMS3 system updates overnight so you may not be able to access the marks through WebCMS3 until tomorrow. To see your marks on WebCMS3:
Hello everyone
The first lecture of Week 5 for COMP9517 will be held on Monday, 12th Oct, 12-2 PM. It will be delivered through Teams Live.
Join the class by clicking on this link:
https://teams.microsoft.com/l/meetup-join/19:mee...
See you all then.
Best wishes
Sowmya
LIC, COMP9517, T3 2020Hello everyone
Hope you are doing well and keeping safe.
The slides on the topic of Segmentation have been split into 2 Parts and updated. These are now uploaded under
Lectures--week 4
Part 2 will be mostly be covered on Monday week 5, but are released now for convenience and continuity of topic.
See you all tomorrow at the live lecture.
Best wishes
Sowmya
The lecture slides (Segmentation Part 2) for week 4 are now available on the course website under Course Work -> Lectures -> Week 4
Hello everyone
The Week 4 lecture of COMP9517 will be held on Friday, 9th Oct, 12-2 PM. It will be delivered through Teams Live.
Note there is NO LAB on the day, instead we have a 2 hour lecture.
Join the class by clicking on this link:
https://teams.microsoft.com/l/meetup-join/19:mee...
See you all then.
Best wishes
Sowmya
LIC, COMP9517, T3 2020The lecture slides (Segmentation Part 1) for week 4 are now available on the course website under Course Work -> Lectures -> Week 4
Dear 9517 students
Hope you are doing well and staying safe.
In week 4,
Monday Oct 5th
is a public holiday, therefore there will be
NO LECTURES.
On
Friday Oct 9th
, a
2 hour lecture will be held from 12-2 PM
, and there will be
no lab session on that day
.
Lecture slides and the online Teams Live link for the lectures will be made available mid week in week 4.
Best wishes
Sowmya
Submission link for the Lab 2 is now open on the course website, under Course Work->Lab Activities->Week 3.
Hello everyone,
Tomorrow, Friday, we will finish the Feature Representation chapter of the course. The lecture will be held on Teams Live.
Join the class by clicking on this link:
See you tomorrow,
Wafa Johal
Lecturer, COMP9517, T3 2020
Submission link for the Assignment 1 is now open on the course website, under Course Work->Assessments-> Assignment
Lab 2 is now available on the course website under Course Work > Lab Activities > Week 3.
Lab 2 will be held this Friday Oct 2nd, 1-2 PM via Moodle Blackboard Collaborate.
Check under Lab Activities-Lab 1 Solution (20T3)
Hello everyone,
Monday in COMP9517, we start the Feature Representation chapter. The lecture will be held on Teams Live.
Join the class by clicking on this link:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_NDgwYjJiNzktZTY4Ni00ZTRlLTlhYmItZTRjYWVkZDg3MTg5%40thread.v2/0?context=%7b%22Tid%22%3a%223ff6cfa4-e715-48db-b8e1-0867b9f9fba3%22%2c%22Oid%22%3a%228040ef85-4a89-4cad-a2c5-2f5422d21d3e%22%2c%22IsBroadcastMeeting%22%3atrue%7d
Have a good weekend,
Wafa Johal
Lecturer, COMP9517, T3 2020Lab1 submission problem has now been fixed. The system is ready for your submission. Those, who attempted the submission before, please submit again. Sorry for the invonveniece and delay.
Hi all comp9517 students,
Lab1 sumbission does not accept submissions at the moment, and we are working to fix the problem. We will let you know when the problem is fixed
The following table will help you finding your tutor’s link in Moodle for all labs and consult sessions.
Please note: in Moodle, you will be able to
only
click
on your own session link
in
blue colour
(which does not show group names). All other sessions show “Not available unless…” message, and are in
grey colour
.
group name | tutor's name |
20/20 Vision | Ari Tchetchenian |
629 | Yanming Zhu |
996 | Ryan Anthony De Belen |
ACME | Yanming Zhu |
Aero Vision | Nuha Aldausari |
Anonymous | Ryan Anthony De Belen |
AskTheMagicConch | Xun Li |
Baidu | Nuha Aldausari |
Blind Pick | Nuha Aldausari |
COMP9517-DreamHD | Junjun Pan |
computer invisible | Xun Li |
Computer Vision | Xun Li |
CV team | Ethan Mitchell |
CV_Group | Ryan Anthony De Belen |
DL_Group | Justin Liang |
fighting | Jun Moey |
fruit loop | Junjun Pan |
Go_to_HD | Jun Moey |
Group C | Yanming Zhu |
Group D | Shiyi Yang |
Group E | Ari Tchetchenian |
Group G | Ethan Mitchell |
Group H | Hongfei Ao |
Group I | Junjun Pan |
Group J | Shiyi Yang |
Hairless programmers | Nuha Aldausari |
HeadIron | Hongfei Ao |
HoloSens | Justin Liang |
Iris Group | Ryan Anthony De Belen |
meet_you | Jiayi Zhu |
MintChoco | Ari Tchetchenian |
OpenCV Learners | Junjun Pan |
Pixelate Club | Shiyi Yang |
placeholder | Jiayi Zhu |
PUBG | Hongfei Ao |
SNG | Justin Liang |
Solaria | Ethan Mitchell |
Telescope | Xun Li |
Tenet | Shiyi Yang |
ThereIsNoSpoon | Hongfei Ao |
Tian team | Ethan Mitchell |
VGR | Justin Liang |
Visionaries | Jun Moey |
wakanda forever | Jun Moey |
What's the group name | Jiayi Zhu |
winter is coming | Jiayi Zhu |
Hello everyone,
Tomorrow in COMP9517, we will finish the Image Processing unit by focusing on operations in the frequency domain. The lecture will be held on Teams Live.
Join the class by clicking on this link:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_YjliZjg5YjktMDM3Zi00MjYzLTgxZjktNzhjZmIyMDk1NzY4%40thread.v2/0?context=%7b%22Tid%22%3a%223ff6cfa4-e715-48db-b8e1-0867b9f9fba3%22%2c%22Oid%22%3a%228040ef85-4a89-4cad-a2c5-2f5422d21d3e%22%2c%22IsBroadcastMeeting%22%3atrue%7d
See you tomorrow,
Wafa Johal
Lecturer, COMP9517, T3 2020Lab and consultation sessions with your tutors are now accessible from Moodle. The lab sessions will be held in weeks 2,3,5,7 and 8. Consultation sessions will be in weeks 6 and 9.
The first lab session is this coming Friday 25 September at 1 pm.
All sessions will be held using Black Board Collaborate accessible via Moodle. Here are detail instructions:
For more information on Black Board Collaborate please click
here
. Please note that our setting is a little different: you do not need to choose a session, the link from Moodle will take you directly to your own session.
Please note: without permission you are not allowed to attend any other session, except the one assigned to you.
The lecture slides (Image Processing Part 2) for week 2 are now available on the course website under Course Work -> Lectures -> Week 2
Lab 1 is now available on the course website under Course Work > Lab Activities > Week 2
Labs for COMP9517 begin in Week 2. Each group of students will be assigned a specific tutor, watch out for details.
BlackBoard Collaborate will be used for the lab sessions, aand information on it will be posted soon.
You will be given detailed instructions to follow for each lab. Your assigned tutor will be available online during the lab hour (Friday 1-2pm) for face-to-face consultation. If you choose not to attempt the lab during the lab hour, you may post questions on the forum, but there will not be another opportunity for face-to-face consultation.
You will submit your answer to the lab assessment question via WebCMS3 for marking.
The Assignment specification has been updated to remove minor errors.
The sample images have been updated by replacing the images with non-uniform illumination with new images.
The marking criteria and outline code have NOT changed.
All files can be found under Course Work -> Assessments -> Assignment.
Hello everyone,
This week in COMP9517, we continue to talk about Image Processing. On Monday 21st 12-2pm, we will focus on the spatial domain operations The lecture will be held on Teams Live.
Join the class by clicking on this link:
See you tomorrow,
Wafa Johal
Lecturer, COMP9517, T3 2020As already announced, please form your Lab and Project groups by Tues 22nd Sept, 9 AM AEST (time added).
After that deadline, we shall check and finalise the groups. We need to set up the Lab groups on Blackboard Collaborate in time for Lab1.
The specification for the Assignment , sample images, marking criteria and outline code have been released and can be found under Course Work -> Assessments -> Assignment.
Some minor updates have been made to the Course Outline :
- updates to Modes of Delivery
- addition of
Student Representative Contact
Hello everyone,
In the second lecture of COMP9517, we will talk about Image Formation and start the Image Processing chapter. It will be held on Friday 18th Sept. 12-2PM on Teams Live.
Join the class by clicking on this link:
See you tomorrow,
Wafa Johal
Lecturer, COMP9517, T3 2020
Lecture recording for Lecture 1 is now available on Moodle.
All future lecture recordings will also be accessible through Moodle a couple of hours after the lecture is ended.
Lab and Project Groups
Labs for COMP9517 will begin in Week 2 and the Lab hour is scheduled for Friday 1-2 pm. As you know COMP9517 also has a group project. You will each have one tutor assigned to mentor you for your labs and the group project, so you will have the opportunity to get to know that tutor throughout the term.
Please form your project groups this week and we will create lab groups by combining project groups. There must be 5 students in each group. If anyone has not been able to form a group by Tuesday 22 nd Sep, we will allocate you to a group.
Being an online course, you may not have the opportunity to meet other students from the course in person, making it more difficult to form groups. But we have set up a class team in Microsoft Teams, called COMP9517 20T3, to which you have all been added. Here you will be able to see the names of other students in the course.
To see who is in the course:
To register your project groups:
If you have any problems, please post on the forum.
Hello everyone
The first lecture of COMP9517 will be held on Monday, 14th Sept, 12-2 PM. It will be delivered through Teams Live.
Join the class by clicking on this link:
See you all then.
Best wishes
Sowmya
LIC, COMP9517, T3 2020
The lecture slides for week 1 are now available on the course website under Course Work -> Lectures -> Week 1
Dear COMP 9517 students
Welcome to COMP 9517. The draft course outline is available via the link on the left panel.
Classes will start on Monday week 1. Details of the online platform and the link will be sent later this week.
See you all then.
Best wishes
Sowmya and the COMP9517 team