93 citations · 179 across the 6 of their papers we have counts for
6 papers
Image Search with Text Feedback by Additive Attention Compositional Learning
Yuxin Tian, Shawn Newsam, Kofi Boakye
Effective image retrieval with text feedback stands to impact a range of real-world applications, such as e-commerce. Given a source image and text feedback that describes the desi…
Modality-Agnostic Attention Fusion for visual search with text feedback
Eric Dodds, Jack Culpepper, Simao Herdade +2
Image retrieval with natural language feedback offers the promise of catalog search based on fine-grained visual features that go beyond objects and binary attributes, facilitating…
Image Captioning: Transforming Objects into Words
Simao Herdade, Armin Kappeler, Kofi Boakye +1
Image captioning models typically follow an encoder-decoder architecture which uses abstract image feature vectors as input to the encoder. One of the most successful algorithms us…
Tag Prediction at Flickr: a View from the Darkroom
Kofi Boakye, Sachin Farfade, Hamid Izadinia +2
Automated photo tagging has established itself as one of the most compelling applications of deep learning. While deep convolutional neural networks have repeatedly demonstrated to…
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning
T. Nathan Mundhenk, Goran Konjevod, Wesam A. Sakla +1
We have created a large diverse set of cars from overhead images, which are useful for training a deep learner to binary classify, detect and count them. The dataset and all relate…
Large-Scale Deep Learning on the YFCC100M Dataset
Karl Ni, Roger Pearce, Kofi Boakye +4
We present a work-in-progress snapshot of learning with a 15 billion parameter deep learning network on HPC architectures applied to the largest publicly available natural image an…