Explore instance segmentation in computer vision, covering Mask R-CNN, ROI pooling, and alignment techniques for precise object de...
Explore DeepFool algorithm for generating adversarial examples in deep neural networks, covering linearization, multiclass classif...
Explore reinforcement learning techniques for autonomous navigation in unmapped urban environments, focusing on value functions, c...
Explore image understanding using context, focusing on scene identification and object detection in videos through innovative tech...
Learn advanced techniques for human activity recognition with limited labeled data and privacy preservation, including pseudolevel...
Explore emerging properties in self-supervised vision transformers, covering related topics, model overview, and implementation de...
Explore vision transformer improvements through relative position encoding, examining bias modes, piecewise indexing, and 2D calcu...
Explore the evolution of vision architectures, comparing SWIN and CNNs, and learn about modernizing ConvNets with macro and micro...
Explore tokens, cross-view fusion, and attention in computer vision, examining experimental results and innovations in multi-view...
Students present their projects, showcasing innovative approaches in computer vision and AI. Topics include object detection, vide...
Final project presentations showcasing innovative approaches in video action recognition, offline reinforcement learning, and deci...
Learn about Grounded Visual Question Answering systems, their limitations, and innovative approaches using Transformers with Capsu...