Search Results for author:
Found 7 papers, 3 papers with code
Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration
Second, we present the design and development of an app that enables exploration of an art museum's collection.
Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints
We investigate the properties of the mined images, and find that images trained on a small number of image captions generalize to a much larger number of semantically related captions.
MarioGPT: Open-Ended Text2Level Generation through Large Language Models
MarioGPT can not only generate diverse levels, but can be text-prompted for controllable level generation, addressing one of the key challenges of current PCG techniques.
Hardware-aware mobile building block evaluation for computer vision
In this work we propose a methodology to accurately evaluate and compare the performance of efficient neural network building blocks for computer vision in a hardware-aware manner.
Anchor Pruning for Object Detection
In this work, we show that many anchors in the object detection head can be removed without any loss in accuracy.
Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping
Photonic reservoir computing is a promising candidate for low-energy computing at high bandwidths.
Training Passive Photonic Reservoirs with Integrated Optical Readout
As Moore's law comes to an end, neuromorphic approaches to computing are on the rise.
