Filename | Size |
| 001.Introduction and digital images/001. Short introduction to computer vision.mp4 | 15.3 MB |
| 001.Introduction and digital images/001. Short introduction to computer vision.srt | 7.1 KB |
| 001.Introduction and digital images/002. Digital images.mp4 | 12.2 MB |
| 001.Introduction and digital images/002. Digital images.srt | 5.1 KB |
| 001.Introduction and digital images/003. Structure of human eye and vision.mp4 | 22.3 MB |
| 001.Introduction and digital images/003. Structure of human eye and vision.srt | 8.4 KB |
| 001.Introduction and digital images/004. Color models.mp4 | 57.7 MB |
| 001.Introduction and digital images/004. Color models.srt | 21.5 KB |
| 002.Basic image processing/005. Image processing goals and tasks.mp4 | 10.8 MB |
| 002.Basic image processing/005. Image processing goals and tasks.srt | 3.6 KB |
| 002.Basic image processing/006. Contrast and brightness correction.mp4 | 19.7 MB |
| 002.Basic image processing/006. Contrast and brightness correction.srt | 7 KB |
| 002.Basic image processing/007. Image convolution.mp4 | 26 MB |
| 002.Basic image processing/007. Image convolution.srt | 9.6 KB |
| 002.Basic image processing/008. Edge detection.mp4 | 31.9 MB |
| 002.Basic image processing/008. Edge detection.srt | 11.7 KB |
| 003.Image classification/009. Recap Image classification.mp4 | 32.4 MB |
| 003.Image classification/009. Recap Image classification.srt | 10.8 KB |
| 003.Image classification/010. AlexNet, VGG and Inception architectures.mp4 | 43.8 MB |
| 003.Image classification/010. AlexNet, VGG and Inception architectures.srt | 14.2 KB |
| 003.Image classification/011. ResNet and beyond.mp4 | 43.2 MB |
| 003.Image classification/011. ResNet and beyond.srt | 12.3 KB |
| 003.Image classification/012. Fine-grained image recognition.mp4 | 25.4 MB |
| 003.Image classification/012. Fine-grained image recognition.srt | 7.5 KB |
| 003.Image classification/013. Detection and classification of facial attributes.mp4 | 24.1 MB |
| 003.Image classification/013. Detection and classification of facial attributes.srt | 8.1 KB |
| 004.Content-based image retrieval/014. Content-based image retrieval.mp4 | 31.6 MB |
| 004.Content-based image retrieval/014. Content-based image retrieval.srt | 9.3 KB |
| 004.Content-based image retrieval/015. Computing semantic image embeddings using convolutional neural networks.mp4 | 35.6 MB |
| 004.Content-based image retrieval/015. Computing semantic image embeddings using convolutional neural networks.srt | 11 KB |
| 004.Content-based image retrieval/016. Employing indexing structures for efficient retrieval of semantic neighbors.mp4 | 37.3 MB |
| 004.Content-based image retrieval/016. Employing indexing structures for efficient retrieval of semantic neighbors.srt | 11.7 KB |
| 004.Content-based image retrieval/017. Face verification.mp4 | 25.2 MB |
| 004.Content-based image retrieval/017. Face verification.srt | 7.9 KB |
| 004.Content-based image retrieval/018. The re-identification problem in computer vision.mp4 | 21.1 MB |
| 004.Content-based image retrieval/018. The re-identification problem in computer vision.srt | 6.8 KB |
| 005.Keypoints regression/019. Facial keypoints regression.mp4 | 25.6 MB |
| 005.Keypoints regression/019. Facial keypoints regression.srt | 7.5 KB |
| 005.Keypoints regression/020. CNN for keypoints regression.mp4 | 23.2 MB |
| 005.Keypoints regression/020. CNN for keypoints regression.srt | 7.2 KB |
| 006.Sliding window detectors/021. Object detection problem.mp4 | 22.4 MB |
| 006.Sliding window detectors/021. Object detection problem.srt | 9.8 KB |
| 006.Sliding window detectors/022. Sliding windows.mp4 | 11.8 MB |
| 006.Sliding window detectors/022. Sliding windows.srt | 4.7 KB |
| 006.Sliding window detectors/023. HOG-based detector.mp4 | 9.1 MB |
| 006.Sliding window detectors/023. HOG-based detector.srt | 3.4 KB |
| 006.Sliding window detectors/024. Detector training.mp4 | 11.7 MB |
| 006.Sliding window detectors/024. Detector training.srt | 4.4 KB |
| 006.Sliding window detectors/025. Viola-Jones face detector.mp4 | 19.4 MB |
| 006.Sliding window detectors/025. Viola-Jones face detector.srt | 8 KB |
| 006.Sliding window detectors/026. Attentional cascades and neural networks.mp4 | 12.2 MB |
| 006.Sliding window detectors/026. Attentional cascades and neural networks.srt | 4.8 KB |
| 007.Modern detector architectures/027. Region-based convolutional neural network.mp4 | 10.7 MB |
| 007.Modern detector architectures/027. Region-based convolutional neural network.srt | 4.3 KB |
| 007.Modern detector architectures/028. From R-CNN to Fast R-CNN.mp4 | 17.8 MB |
| 007.Modern detector architectures/028. From R-CNN to Fast R-CNN.srt | 6.9 KB |
| 007.Modern detector architectures/029. Faster R-CNN.mp4 | 15.8 MB |
| 007.Modern detector architectures/029. Faster R-CNN.srt | 5.7 KB |
| 007.Modern detector architectures/030. Region-based fully-convolutional network.mp4 | 8.5 MB |
| 007.Modern detector architectures/030. Region-based fully-convolutional network.srt | 3.1 KB |
| 007.Modern detector architectures/031. Single shot detectors.mp4 | 14.5 MB |
| 007.Modern detector architectures/031. Single shot detectors.srt | 2.5 KB |
| 007.Modern detector architectures/032. Speed vs. accuracy tradeoff.mp4 | 7.1 MB |
| 007.Modern detector architectures/032. Speed vs. accuracy tradeoff.srt | 2.5 KB |
| 007.Modern detector architectures/033. Fun with pedestrian detectors.mp4 | 5.8 MB |
| 007.Modern detector architectures/033. Fun with pedestrian detectors.srt | 1.6 KB |
| 008.Object tracking/034. Introduction to video analysis.mp4 | 12.7 MB |
| 008.Object tracking/034. Introduction to video analysis.srt | 5.2 KB |
| 008.Object tracking/035. Optical flow.mp4 | 17.3 MB |
| 008.Object tracking/035. Optical flow.srt | 7.8 KB |
| 008.Object tracking/036. Deep learning in optical flow estimation.mp4 | 19 MB |
| 008.Object tracking/036. Deep learning in optical flow estimation.srt | 8.6 KB |
| 008.Object tracking/037. Visual object tracking.mp4 | 18.7 MB |
| 008.Object tracking/037. Visual object tracking.srt | 8.1 KB |
| 008.Object tracking/038. Examples of visual object tracking methods.mp4 | 42.9 MB |
| 008.Object tracking/038. Examples of visual object tracking methods.srt | 20.8 KB |
| 008.Object tracking/039. Multiple object tracking.mp4 | 18.2 MB |
| 008.Object tracking/039. Multiple object tracking.srt | 8.1 KB |
| 008.Object tracking/040. Examples of multiple object tracking methods.mp4 | 26.3 MB |
| 008.Object tracking/040. Examples of multiple object tracking methods.srt | 12 KB |
| 009.Action recognition/041. Introduction to action recognition.mp4 | 21.9 MB |
| 009.Action recognition/041. Introduction to action recognition.srt | 9.3 KB |
| 009.Action recognition/042. Action classification.mp4 | 26.6 MB |
| 009.Action recognition/042. Action classification.srt | 11.9 KB |
| 009.Action recognition/043. Action classification with convolutional neural networks.mp4 | 18.8 MB |
| 009.Action recognition/043. Action classification with convolutional neural networks.srt | 8.2 KB |
| 009.Action recognition/044. Action localization.mp4 | 22.4 MB |
| 009.Action recognition/044. Action localization.srt | 10.1 KB |
| 010.Image segmentation/045. Image segmentation.mp4 | 16 MB |
| 010.Image segmentation/045. Image segmentation.srt | 4.8 KB |
| 010.Image segmentation/046. Oversegmentation.mp4 | 17.8 MB |
| 010.Image segmentation/046. Oversegmentation.srt | 5.4 KB |
| 010.Image segmentation/047. Deep learning models for image segmentation.mp4 | 32.7 MB |
| 010.Image segmentation/047. Deep learning models for image segmentation.srt | 10.1 KB |
| 010.Image segmentation/048. Human pose estimation as image segmentation.mp4 | 33.4 MB |
| 010.Image segmentation/048. Human pose estimation as image segmentation.srt | 10.9 KB |
| 011.Style transfer and image generation/049. Style transfer.mp4 | 22.7 MB |
| 011.Style transfer and image generation/049. Style transfer.srt | 6.6 KB |
| 011.Style transfer and image generation/050. Generative adversarial networks.mp4 | 29.5 MB |