Course Name: Deep Learning for Computer Vision

Course abstract

The course will cover basics as well as recent advancements in these areas, which will help the student learn the basics as well as become proficient in applying these methods to real-world applications.


Course Instructor

Media Object

Prof. Vineeth N Balasubramanian

Vineeth N Balasubramanian is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Hyderabad (IIT-H), as well as serves as the Head of the Department of Artificial Intelligence at IIT-H. His research interests include deep learning, machine learning, and computer vision. His research has been published at premier peer-reviewed venues including ICML, CVPR, ICCV, KDD, ICDM, IEEE TPAMI and ACM MM. His PhD dissertation at Arizona State University on the Conformal Predictions framework was nominated for the Outstanding PhD Dissertation at the Department of Computer Science. He is an active reviewer/contributor at many conferences such as NeurIPS, CVPR, ICCV, AAAI, IJCAI, ACM MM with a recent award as an Outstanding Reviewer at CVPR 2019, as well as journals including IEEE TPAMI, IEEE TNNLS, JMLR and Machine Learning. He currently serves as the Secretary of the AAAI India Chapter. For more details, please see https://iith.ac.in/~vineethnb/.

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Sep-Dec 2020

  View Course

 Enrollment : 20-May-2020 to 21-Sep-2020

 Exam registration : 14-Sep-2020 to 02-Nov-2020

 Exam Date : 20-Dec-2020

Enrolled

8554

Registered

232

Certificate Eligible

132

Certified Category Count

Gold

0

Silver

8

Elite

29

Successfully completed

95

Participation

58

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = 10% weightage: Weekly quizzes (best 9 of 12) and 15% weightage: Programming assignments (best 4 of 6)
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score NOTE: A1-A2 - Weekly quizzes A13-A18 - Programming assignments
Deep Learning for Computer Vision - Toppers list
Top 1 % of Certified Candidates

SAYAN GHOSH 78%

RAMAKRISHNA MISSION VIVEKANANDA EDUCATIONAL AND RESEARCH INSTITUTE


Top 2 % of Certified Candidates

BRAJESH KUMAR 75%

APPYHIGH TECHNOLOGY LLP

PARTH MAHESHKUMAR PATEL 75%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

SAI AAKASH R 75%

SRI SIVASUBRAMANIYA NADAR COLLEGE OF ENGINEERING

NANDAM SRINIVASA RAO 75%

NATIONAL INSTITUTE OF TECHNOLOGY TIRUCHIRAPPALLI

JAYANTHAN K S 75%

NATIONAL INSTITUTE OF TECHNOLOGY TIRUCHIRAPPALLI

YASHAS SAMAGA 75%

IIIT Hyderabad

RISHABH LALLA 75%


Top 5 % of Certified Candidates

Enrollment Statistics

Total Enrollment: 8554

Registration Statistics

Total Registration : 231

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.