Carnegie Mellon University

16-824: Visual Learning and Recognition

Fall 2026
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Mondays and Wednesdays, 2:00-3:20pm, TEP 1403

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Date Topics Course Materials Instructor Deadlines
Week 1
Lecture 1
Monday 08/24/26		 Introduction
No Readings
 Jun-Yan
Lecture 2
Wednesday 08/26/26		 Introduction to Data
Readings:
#1: Alon Halevy, Peter Norvig, and Fernando Pereira
#2: Antonio Torralba & Alexei A. Efros
#3: Chen Sun et al.
#4: Timnit Gebru et al. 		Jun-Yan
Week 2
Lecture 3
Monday 08/31/26		 Convolutional Neural Network
Readings:
#1: Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
#2: Karen Simonyan, Andrew Zisserman
#3: Kaiming He et.al.
#4: Zhuang Liu et al. 		Jun-Yan
Bonus Lecture
Wednesday 09/02/26		 PyTorch and AWS Tutorial Avigyan, Shen
Week 3

Monday 09/07/26		 Labor Day; No class.
Lecture 4
Wednesday 09/09/26		 Visualizing and Understanding Neural Nets
Readings:
#1: Aravindh Mahendran, Andrea Vedaldi
#2: David Bau, Bolei Zhou, et al.
#3: Ramprasaath R. Selvaraju et al.
#4: Olah et al. 		Jun-Yan
Week 4
Lecture 5
Monday 09/14/26		 Attention and Transformers I
Readings:
#1: Ashish Vaswani et al.
#2: Ilya Sutskever, Oriol Vinyals, Quoc V. Le
#3: Dzmitry Bahdanau, KyungHyun Cho, Yoshua Bengio
Optional Readings:
#4: Jianlin Su et al. 		Jun-Yan
Lecture 6
Wednesday 09/16/26		 Attention and Transformers II
Readings:
#1: Alexey Dosovitskiy et al.
#2: Ze Liu et al.
Optional Readings:
#3: Timothee Darcet et al.
#4: Ilya Tolstikhin et al.
#5: Andrew Jaegle et al. 		Jun-Yan HW1 Out (Classification + Detection)
Week 5
Lecture 7
Monday 09/21/26		 Segmentation and Detection I
Readings:
#1: Jonathan Long, Evan Shelhamer, Trevor Darrell (FCN)
#2: Olaf Ronneberger et al. (U-Net)
#3: Bowen Cheng et al. (Mask2Former)
Optional Readings:
#4: Sixiao Zheng et al. (SETR)
#5: Enze Xie et al. (SegFormer)		 Jun-Yan
Lecture 8
Wednesday 09/23/26		 Segmentation and Detection II
Readings:
#1: Pedro F Felzenszwalb et al. (DPM)
#2: Ross Girshick et al. (R-CNN)
#3: Joseph Redmon et al. (YOLO)
#4: Nicolas Carion et al. (DETR)
Optional Readings:
#5: Shaoqing Ren et al. (Faster R-CNN)
#6: Xingyi Zhou, et al. (CenterNet)		 Jun-Yan
Week 6
Lecture 9
Monday 09/28/26		 Segmentation and Detection III
Readings:
#1: Kaiming He et al. (Mask R-CNN)
#2: Alexander Kirillov et al. (SAM)
Optional Readings:
#3: Alexander Kirillov et al. (Panoptic Segmentation)
#4: Nikhila Ravi et al. (SAM 2)
Lecture 10
Wednesday 09/30/26		 Generative Models I
Week 7
Lecture 11
Monday 10/05/26		 Generative Models II
Lecture 12
Wednesday 10/07/26		 Generative Models III HW1 Due;
Week 8

Monday 10/12/26		 Fall Break. No class.

Wednesday 10/14/26		 Fall Break. No class.
Week 9
Lecture 13
Monday 10/19/26		 Self-Supervised Learning I
Lecture 14
Wednesday 10/21/26		 Self-Supervised Learning II
Week 10
Lecture 15
Monday 10/26/26		 Vision-Language Model I
Lecture 16
Wednesday 10/28/26		 Vision-Language Model II
Week 11
Lecture 17
Monday 11/02/26		 Guest Lecture I
Lecture 18
Wednesday 11/04/26		 Guest Lecture II
Week 12
Lecture 19
Monday 11/09/26		 Transfer Learning, Visual Prompting I
Lecture 20
Wednesday 11/11/26		 Transfer Learning, Visual Prompting II
Week 13
Lecture 21
Monday 11/16/26		 Action Recognition and Videos I
Lecture 22
Wednesday 11/18/26		 Action Recognition and Videos II
Week 14
Lecture 23
Monday 11/23/26		 Efficient Deep Learning

Wednesday 11/25/26		 Thanksgiving holiday. No Class.
Week 15
Lecture 24
Monday 11/30/26		 Course Project Presentation I
Lecture 25
Wednesday 12/02/26		 Course Project Presentation II