Advanced Topics in Computer Vision

3 credits · Undergraduate credit

Advanced topics in computer vision. Topics are selected from large-scale vision and language foundation models, generative methods such as denoising diffusion and energy-based models, discriminative methods such as contrastive learning and few-shot classification, neural net architectures, model optimization and compression, current research on recognition, detection, segmentation, tracking, inferring depth, reconstructing scenes in 2D, 3D, and 4D, multimodal perception and robotics.