Date Topic Paper set
22 Aug, 2023 (Tue) Recognition - Applications, Metrics, Ethics, Need for ML pdf
24 Aug, 2023 (Thu) Recognition - Tasks, Problem setups, Intro to ML, Neural networks (pdf)
29 Aug, 2023 (Tue) Recognition - Image classification architectures (Resnets, DenseNets, Transformers) (pdf)
31 Aug, 2023 (Thu) Recognition - Object detection - Metrics, benchmarks, net architectures (pdf)
05 Sep, 2023 (Tue) Recognition - Semantic segmentation and instance segmentation - benchmarks and net architectures (pdf)
07 Sep, 2023 (Thu) Recognition - Pose estimation (pdf)
12 Sep, 2023 (Tue) Sets 1-4
14 Sep, 2023 (Thu)
19 Sep, 2023 (Tue) Recognition - Structured prediction
21 Sep, 2023 (Thu) Recognition - Transfer learning, fine-tuning, few-shot learning (pdf)
26 Sep, 2023 (Tue) Recognition - Unlabeled data: self-supervised and semi-supervised learning. Set 5
28 Sep, 2023 (Thu) Recognition - Multimodality: Vision and language(pdf) Set 6
03 Oct, 2023 (Tue) Recognition - Datasets (pdf) Set 7
05 Oct, 2023 (Thu) Reconstruction - Background: Geometry of image formation (pdf) Set 8
12 Oct, 2023 (Thu) Reconstruction - Calibration and Stereo (pdf) Set 19
17 Oct, 2023 (Tue) Reconstruction - Epipolar Geometry (pdf) Set 20
19 Oct, 2023 (Thu) Reconstruction - RANSAC and SfM (pdf)
24 Oct, 2023 (Tue) Reconstruction - Correspondence (classical and learning-based)(pdf)
26 Oct, 2023 (Thu) reconstruction - Color, radiometry, photometric stereo(pdf) Set 9
31 Oct, 2023 (Tue) Reconstruction - Neural representations of scene and shape(pdf)
02 Nov, 2023 (Thu) TBD Sets 10 - 13
07 Nov, 2023 (Tue) Synthesis - Generative modeling - GANs, VAEs (Part I,Part II)
09 Nov, 2023 (Thu) Synthesis - Diffusion models
14 Nov, 2023 (Tue) Synthesis - Applications, Ethical considerations
16 Nov, 2023 (Thu) Sets 14 - 16
21 Nov, 2023 (Tue) Embodied vision - Background: Intro to RL
28 Nov, 2023 (Tue) Embodied vision - Intuitive physics and models of the world Set 17
30 Nov, 2023 (Thu) Other embodied vision, vision with 3D sensors Set 18