- Lecture 1: Course Overview
Monday 24 August 2020
- Lecture 2: Functions
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.
Wednesday 26 August 2020
code_w26aug2020a.py
code_w26aug2020b.py
- Lecture 3: Automatic Differentiation-I
Friday 28 August 2020
Whiteboard
tracing.py
- Lecture 4: Automatic Differentiation-II
Monday 31 August 2020
Whiteboard
code_m31aug2020.py
forward_mode.py
- Lecture 5: Neural Networks
Wednesday 2 September 2020
code_w2sep2020.py
gui.py
linear_classifier.py
linear_classifier_gui.py
two_layer_perceptron.py
two_layer_perceptron_gui.py
- Lecture 6: Automatic Differentiation-III
Friday 4 September 2020
Whiteboard
code_f4sep2020.txt
- Lecture 7: Backpropagation and Reverse-Mode AD
B.A. Pearlmutter and J.M. Siskind, `Reverse-Mode AD in a functional framework: Lambda the Ultimate Backpropagator,' ACM Transactions on Programming Languages and Systems (TOPLAS), 30(2):1-36, 2008.
Monday 7 September 2020
Whiteboard
code_m7sep2020.txt
code_m7sep2020.bib
code_m7sep2020.tex
reverse_mode.py
linear_classifier_pytorch_gui.py
two_layer_perceptron_pytorch_gui.py
- Lecture 8: Nestable AD
J.M. Siskind and B.A. Pearlmutter, `Nesting forward-mode AD in a functional framework,' Higher-Order and Symbolic Computation (HOSC), 21(4):361-376, 2008.
Wednesday 9 September 2020
Whiteboard
code_w9sep2020.py
nestable_forward_mode.py
nestable_reverse_mode.py
equilibrium.py
- Lecture 9: Model-Based Vision
D.G. Lowe, `Three-dimensional object recognition from single two-dimensional images,' Artificial Intelligence (AIJ), 31(3):355-395, 1987.
D.F. Dementhon and L.S. Davis, `Model-based object pose in 25 lines of code,' International Journal of Computer Vision (IJCV), 15(1-2):123-141, 1995.
Friday 11 September 2020
Whiteboard
code_f11sep2020.py
model_based_vision_gui.py
model_based_vision.py
- Lecture 10: Histograms of Oriented Gradients
N. Dalal and B. Triggs, `Histograms of oriented gradients for human detection,' Computer Vision and Pattern Recognition (CVPR), pp. 886-893, 2005.
Monday 14 September 2020
Whiteboard
- Lecture 11: Deformable Part Models
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.
Wednesday 16 September 2020
- Lecture 12: AlexNet
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.
Friday 18 September 2020
Whiteboard
- Lecture 13: VGG-16
K. Simonyan and A. Zisserman, `Very deep convolutional networks for large-scale image recognition,' International Conference on Learning Representations (ICLR), 2015.
Monday 21 September 2020
Whiteboard
- Lecture 14: Inception v1
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.
Wednesday 23 September 2020
Whiteboard
- Lecture 15: Batch Normalization
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.
Friday 25 September 2020
Whiteboard
- Lecture 16: ResNet
K. He, X. Zhang, S. Ren, and J. Sun, `Deep residual learning for image recognition,' Computer Vision and Pattern Recognition (CVPR), pp. 770-778, 2016.
Monday 28 September 2020
Whiteboard
- Lecture 17: Inception v3
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna, `Rethinking the Inception architecture for computer vision,' Computer Vision and Pattern Recognition (CVPR), pp. 2818-2826, 2016.
Wednesday 30 September 2020
Whiteboard
- Lecture 18: Inception v4
C. Szegedy, S. Ioffe, and V. Vanhoucke, `Inception-v4, Inception-ResNet and the impact of residual connections on learning,' Conference on Artificial Intelligence (AAAI), 2017.
Friday 2 October 2020
- Lecture 19: DenseNet
G. Huang, Z. Liu, L. Van Der Maaten, and K.Q. Weinberger, `Densely connected convolutional networks,' Computer Vision and Pattern Recognition (CVPR), pp. 4700-4708, 2017.
Monday 5 October 2020
Whiteboard
- Lecture 20: R-CNN
R. Girshick, J. Donahue, T. Darrell, and J. Malik, `Rich feature hierarchies for accurate object detection and semantic segmentation,' Computer Vision and Pattern Recognition (CVPR), pp. 580-587, 2014.
Wednesday 7 October 2020
- Lecture 21: Fast R-CNN
R. Girshick, `Fast R-CNN,' Computer Vision and Pattern Recognition (CVPR), pp. 1440-1448, 2015.
Friday 9 October 2020
Whiteboard
- Lecture 22: Faster R-CNN
S. Ren, K. He, R. Girshick, and J. Sun, `Faster R-CNN: Towards real-time object detection with region proposal networks,' Advances in Neural Information Processing Systems (NeurIPS), pp. 91-99, 2015.
Monday 12 October 2020
- Lecture 23: YOLO
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, `You only look once: Unified, real-time object detection,' Computer Vision and Pattern Recognition (CVPR), pp. 779-788, 2016.
Wednesday 14 October 2020
- Lecture 24: Class Canceled
Friday 16 October 2020
- Lecture 25: SSD
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A.C. Berg, `SSD: Single shot multibox detector,' European Conference on Computer Vision (ECCV), pp. 21-37, 2016.
Monday 19 October 2020
Whiteboard
- Lecture 26: Mask R-CNN
K. He, G. Gkioxari, P. Dollar, and R. Girshick, `Mask R-CNN,' International Conference on Computer Vision (ICCV), pp. 2961-2969, 2017.
Wedneday 21 October 2020
- Lecture 27: FPN
T.-Y. Lin, P. Dollar, R. Girshick, K. He, B. Hariharan, and S. Belongie, `Feature pyramid networks for object detection,' Computer Vision and Pattern Recognition (CVPR), pp. 2117-2125, 2017.
Friday 23 October 2020
Whiteboard
- Lecture 28: YOLO v2
J. Redmon and A. Farhadi, `YOLO9000: better, faster, stronger,' Computer Vision and Pattern Recognition (CVPR), pp. 7263-7271, 2017.
Monday 26 October 2020
- Lecture 29: DeepVideo
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei, `Large-scale video classification with convolutional neural networks,' Computer Vision and Pattern Recognition (CVPR), pp. 1725-1732, 2014.
Wednesday 28 October 2020
Whiteboard
- Lecture 30: Two-Stream Networks
K. Simonyan and A. Zisserman, `Two-stream convolutional networks for action recognition in videos,' Advances in Neural Information Processing Systems (NeurIPS), pp. 568-576, 2014.
Friday 30 October 2020
Whiteboard
- Lecture 31: TDD
L. Wang, Y. Qiao, and X. Tang, `Action recognition with trajectory-pooled deep-convolutional descriptors,' Computer Vision and Pattern Recognition (CVPR), pp. 4305-4314, 2015.
Monday 2 November 2020
Whiteboard
- Lecture 32: Reading Day
Wednesday 4 November 2020
- Lecture 33: C3D
D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M Paluri, `Learning spatiotemporal features with 3D convolutional networks,' International Conference on Computer Vision (ICCV), pp. 4489-4487, 2015.
Friday 6 November 2020
- Lecture 34: Beyond Short Snippets
J. Yue-Hei Ng, M. Hausknecht, S. Vijayanarasimhan, O. Vinyals, R. Monga, and G. Toderici, `Beyond short snippets: Deep networks for video classification,' Computer Vision and Pattern Recognition (CVPR), pp. 4694-4702, 2015.
Monday 9 November 2020
Whiteboard
- Lecture 35: Fusion
C. Feichtenhofer, A. Pinz, and A. Zisserman, `Convolutional two-stream network fusion for video action recognition,' Computer Vision and Pattern Recognition (CVPR), pp. 1933-1941, 2016.
Wednesday 11 November 2020
Whiteboard
- Lecture 36: Class Canceled
Friday 13 November 2020
- Lecture 37: Class Canceled
Monday 16 November 2020
- Lecture 38: Student Presentations
Wednesday 18 November 2020
- Lecture 39: Student Presentations
Friday 20 November 2020
- Lecture 40: Student Presentations
Monday 23 November 2020
- Lecture 41: Student Presentations
Monday 30 November 2020
- Lecture 42: Student Presentations
Wednesday 2 December 2020
- Lecture 43: Student Presentations
Friday 4 December 2020
ECE59500CV | ECE | ECN | Purdue University
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