General Information

Lectures: M,W,F 8:30am - 9:20am, MSEE B012

Instructor: Jeffrey Mark Siskind, BHEE313e, 765/496-3197, qobi@qobi.org
Office Hours: T 5:00pm - 6:00pm, BHEE313e

TA: Armstrong (Hanzhi) Zheng, zheng422@purdue.edu
Office Hours: T 3:00pm - 4:00pm, BHEE 208 table 3

ece59500cv-students-list@ecn.purdue.edu
ece59500cv-staff-list@ecn.purdue.edu

Syllabus

Brightspace for ECE49595CV

Brightspace for ECE59500CV

BibTeX file for papers we will cover in this course

github repository

Web site for Fall 2020 offering of a similar course

Web site for Fall 2021 offering of a similar course

Web site for Fall 2023 offering of a similar course

image and video retrieval

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• Homework 1
  Due 5:00pm ET Friday 26 September 2025
  

• Homework 2
  Due 5:00pm ET Friday 31 October 2025
  

• Homework 3
  Due 5:00pm ET Friday 21 November 2025
  

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• Lecture 1: Course Overview
  Monday 25 August 2025
  Whiteboard
  

• Lecture 2: Machine Learing
  Wednesday 27 August 2025
  Whiteboard
  A.G. Baydin, B.A. Pearlmutter, A.A. Radul, and J.M. Siskind, `Automatic differentiation in machine learning: a survey,' Journal of Machine Learning Research (JMLR), 18(153):1-43, 2018.
  

• Lecture 3: Automatic Differentiation---I
  Friday 29 August 2025
  Whiteboard
  complex_numbers.py
  complex.py
  

• Lecture 4: Automatic Differentiation---II
  Wednesday 3 September 2025
  Whiteboard
  dual_numbers.py
  forward_mode.py
  

• Lecture 5: Automatic Differentiation---III
  Friday 5 September 2025
  Whiteboard
  newton_raphson.py
  

• Lecture 6: Automatic Differentiation---IV
  Monday 8 September 2025
  Whiteboard
  tracing.py
  

• Lecture 7: Automatic Differentiation---V
  Wednesday 10 September 2025
  Whiteboard
  

• Lecture 8: Automatic Differentiation---VI
  Friday 12 September 2025
  Whiteboard
  reverse_mode.py
  

• Lecture 9: Model-Based Vision---I
  Monday 15 September 2025
  Whiteboard
  D.G. Lowe, `Three-dimensional object recognition from single two-dimensional images,' Artificial Intelligence (AIJ), 31(3):355-395, 1987.
  

• Lecture 10: Model-Based Vision---II
  Wednesday 17 September 2025
  Whiteboard
  gui.py
  model_based_vision.py
  model_based_vision_gui.py
  

• Lecture 11: Histograms of Oriented Gradients---I
  Friday 19 September 2025
  Whiteboard
  N. Dalal and B. Triggs, `Histograms of oriented gradients for human detection,' Computer Vision and Pattern Recognition (CVPR), pp. 886-893, 2005.
  distances.py
  nearest_neighbor_classifier.py
  nearest_neighbor_classifier_gui.py
  image_classifier_gui.py
  linear_classifier.py
  linear_classifier_gui.py
  

• Lecture 12: Histograms of Oriented Gradients---II
  Monday 22 September 2025
  Whiteboard
  hog.py
  house00.jpg
  

• Lecture 13: Deformable Part Models---I
  Wednesday 24 September 2025
  Whiteboard
  P.F. Felzenszwalb, R.B. Girshick, D. McAllester, and D Ramanan, `Object detection with discriminatively trained part-based models,' IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 32(9):1627-1645, 2010.
  

• Lecture 14: Deformable Part Models---II
  Friday 26 September 2025
  Whiteboard
  

• Lecture 15: Deep Learning
  Monday 29 September 2025
  Whiteboard
  

• Lecture 16: AlexNet-I
  Wednesday 1 October 2025
  Whiteboard
  A. Krizhevsky, I. Sutskever, and G.E. Hinton, `ImageNet classification with deep convolutional neural networks,' Advances in Neural Information Processing Systems (NeurIPS), pages 1097-1105, 2012.
  

• Lecture 17: AlexNet-II
  Friday 3 October 2025
  Whiteboard
  

• Lecture 18: VGG-16
  Monday 6 October 2025
  Whiteboard
  K. Simonyan and A. Zisserman, `Very deep convolutional networks for large-scale image recognition,' International Conference on Learning Representations (ICLR), 2015.
  

• Lecture 19: Inception v1
  Wednesday 8 October 2025
  Whiteboard
  C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, `Going deeper with convolutions,' Computer Vision and Pattern Recognition (CVPR), 2015.
  

• Lecture 20: Batch Normalization
  Friday 10 October 2025
  Whiteboard
  S. Ioffe and C. Szegedy, `Batch normalization: accelerating deep network training by reducing internal covariate shift,' International Conference on Machine Learning (ICML), pp. 448-456, 2015.
  

• Lecture 21: TBD
  Wednesday 15 October 2025
  Whiteboard
  

• Lecture 22: TBD
  Friday 17 October 2025
  Whiteboard
  

• Lecture 23: TBD
  Monday 20 October 2025
  Whiteboard
  

• Lecture 24: TBD
  Wednesday 22 October 2025
  Whiteboard
  

• Lecture 25: TBD
  Friday 24 October 2025
  Whiteboard
  

• Lecture 26: TBD
  Monday 27 October 2025
  Whiteboard
  

• Lecture 27: TBD
  Wednesday 29 October 2025
  Whiteboard
  

• Lecture 28: TBD
  Friday 31 October 2025
  Whiteboard
  

• Lecture 29: TBD
  Monday 3 November 2025
  Whiteboard
  

• Lecture 30: TBD
  Wednesday 5 November 2025
  Whiteboard
  

• Lecture 31: TPD
  Friday 7 November 2025
  Whiteboard
  

• Lecture 32: TPD v2
  Monday 10 November 2025
  Whiteboard
  

• Lecture 33: TBD
  Wednesday 12 November 2025
  Whiteboard
  

• Lecture 34: TBD
  Friday 14 November 2025
  Whiteboard
  

• Lecture 35: TBD
  Monday 17 November 2025
  Whiteboard
  

• Lecture 36: TBD
  Wednesday 19 November 2025
  Whiteboard
  

• Lecture 37: TBD
  Friday 21 November 2025
  Whiteboard
  

• Lecture 38: TBD
  Monday 24 November 2025
  Whiteboard
  

• Lecture 38: TBD
  Monday 1 December 2025
  Whiteboard
  

• Lecture 40: TBD
  Wednesday 3 December 2025
  Whiteboard
  

• Lecture 41: TBD
  Friday 5 December 2025
  Whiteboard
  

• Lecture 42: TBD
  Monday 8 December 2025
  Whiteboard
  

• Lecture 43: TBD
  Wednesday 10 December 2025
  Whiteboard
  

• Lecture 44: TBD
  Friday 12 December 2025
  Whiteboard
  

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ECE49595CV/ECE59500CV | Elmore Family ECE | Purdue College of Engineering | Purdue University