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Deep Learning for Computer Vision
Special topics class on deep learning for computer vision from the University of Michigan taught by Justin Johnson.
computer-vision deep-learning course video
Advanced Deep Learning for Computer Vision (ADL4CV)
The Visual Computing Group offers a variety of lectures and seminars on a regular basis, covering hot areas in computer graphics, vision, and machine ...
computer-vision course deep-learning tutorial
AI in Medicine and Imaging - Stanford Symposium 2020
Through the AIMI Symposium we hope to address gaps and barriers in the field and catalyze more evidence-based solutions to improve health for all.
health medicine medical-imaging stanford
Synthesizing High-Resolution Images with StyleGAN2
Developed by NVIDIA Researchers, StyleGAN2 yields state-of-the-art results in data-driven unconditional generative image modeling.
generative-adversarial-networks stylegan stylegan2 nvidia
Self-Supervised Scene De-occlusion
We investigate the problem of scene de-occlusion, which aims to recover the underlying occlusion ordering and complete the invisible parts of occluded ...
self-supervised-learning computer-vision de-occlusion image-generation
STEFANN: Scene Text Editor using Font Adaptive Neural Network
A generalized method for realistic modification of textual content present in a scene image. ⭐️ Accepted in CVPR 2020.
scene-image scene-text-editor font-adaptive font-generation
YOLOv4 With TensorFlow
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite.
object-detection yolo yolov4 yolov4-tiny
GANSpace: Discovering Interpretable GAN Controls
This paper describes a simple technique to analyze Generative Adversarial Networks (GANs) and create interpretable controls for image synthesis.
generative-adversarial-networks image-generation interpretability interpretable-gans
TransMoMo: Invariance-Driven Unsupervised Motion Retargeting
A lightweight video motion retargeting approach that is capable of transferring motion of a person in a source video realistically to another video of a ...
motion-generation video retargeting transmomo
RepNet - Class Agnostic Video Repetition Counting in the Wild
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
action-recognition repnet repition-counting deepmind
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