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Calendar

Week 1

Jan 11
Lec 1 Course Introduction
📖 GBC Ch. 1
Project 0 out

Week 2

Jan 16
Lec 2 Image Classification
📖 231n Image Classification
Jan 17
Dis 1 Intro to Python, Pytorch and Colab
 
Jan 18
Lec 3 Linear Classifiers
📖 231n Linear Classification
Project 0 due Project 1 out

Week 3

Week 4

Week 5

Feb 6
Lec 8 CNN Architectures
📖 Krizhevsky et al., AlexNet
Quiz 4
📖 Simonyan and Zisserman, VGG
 
📖 Szegedy et al., GoogLeNet
 
📖 He et al., ResNet
Feb 7
Dis 4 Overview of Final Project Topics
📖 Vannevar Bush, Science The Endless Frontier
Final Project out Paper Selection Survey Out
Feb 8
Lec 9 Training Neural Networks I
📖 cs231n Training I
 
📖 Olah et al., Equivariance in Networks

Week 6

Feb 13
Lec 10 Training Neural Networks II
📖 cs231n Training II
Quiz 5
📖 Goodfellow et al., Adversarial Examples
Feb 14
Dis 6 How to Present Research Papers
 
Paper Selection Survey Due
Feb 15
Lec 11 Deep Learning Software
 
Quiz 6 Project 2 due Project 3 out
📖 Redmon, Darknet
 
📖 Jia et al., Caffe
 
📖 Abadi et al., TensorFlow
 
📖 Paszke et al., PyTorch

Week 7

Feb 20
Lec 12 Object Detection
📖 Girshick et al., R-CNN
Quiz 7
📖 Redmon et al., YOLO
 
📖 Lin et al., FCOS
Feb 21
Dis 7 Prelude to 3D Perception
 
Feb 22
Lec 13 Object Detectors & Segmentation
📖 Girshick, Fast R-CNN
Quiz 8
📖 Ren et al., Faster R-CNN
 
📖 He et al., Mask R-CNN

Spring Break

Feb 27
Break
Feb 28
Break
Feb 29
Break

Week 8; 3D Perception

Mar 5
Lec 14 RGB-D Architectures
📃 Related Papers
Mar 6
Dis 8 Prelude to Rigid Body Objects
 
Mar 7
Lec 15 Point Clouds, PointNet, and PointNet++
📃 Related Papers
Project 3 due Project 4 out

Week 9; Rigid Body Objects

Mar 12
Lec 16 Object Pose, Geometry, SDF, Implicit Surfaces
📃 Related Papers
Mar 13
Dis 9 Prelude to Object Tracking
📖 Karpathy, The Unreasonable Effectiveness of RNNs
 
📖 Olah & Carter, Attention and Augmented RNNs
Mar 14
Lec 17 Dense Descriptors, Category-level Representations
📃 Related Papers

Week 10; Object Tracking

Mar 19
Lec 18 Recurrent Networks, Object Tracking
📃 Related Papers
Quiz 9
Mar 20
Dis 10 Prelude to Scene-Level Representations
 
Mar 21
Lec 19 Visual Odometry
📃 Related Papers
Project 4 due

Week 11; Scene-Level Representations

Mar 26
Lec 20 Semantic Scene Graphs
📃 Related Papers
Quiz 10
Mar 27
Dis 11Prelude to Data
 
Mar 28
Lec 21 Neural Radiance Fields
📃 Related Papers
Quiz 11

Week 12; Data

Apr 2
Lec 22Datasets for Perception
📃 Related Papers
Quiz 12
Apr 3
Dis 12Prelude to Perception for Manipulation
 
Apr 4
Lec 23Self-Supervised Learning
📃 Related Papers
Quiz 13

Week 13; Perception for Manipulation

Apr 9
Lec 24Grasp Pose Detection
📃 Related Papers
Quiz 14
Apr 10
Dis 13 Prelude to Transformer Architectures
 
Apr 11
Lec 25Tactile Perception for Grasping and Manipulation
📃 Related Papers

Week 14; More Frontiers

Apr 16
Lec 26 Transformer Architectures
📃 Related Papers
Quiz 15
Apr 17
Dis 14Remaining Challenges and Limitations
 
Apr 18
Lec 27More Frontiers
📃 Related Papers

Week 15

Apr 23
Lec 28Project Demos:Course Closure
📖 R. P. Feynman, Cargo Cult Science
Final Project Due