Search Results for author:
Found 5 papers, 2 papers with code
Learning to Rank Visual Stories From Human Ranking Data
In this paper, we present the VHED (VIST Human Evaluation Data) dataset, which first re-purposes human evaluation results for automatic evaluation; hence we develop Vrank (VIST Ranker), a novel reference-free VIST metric for story evaluation.
Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer
This paper studies Associate Learning (AL), an alternative methodology to the end-to-end backpropagation (BP).
Minibatch Gibbs Sampling on Large Graphical Models
Gibbs sampling is the de facto Markov chain Monte Carlo method used for inference and learning on large scale graphical models.
Resource Aware Person Re-identification across Multiple Resolutions
Not all people are equally easy to identify: color statistics might be enough for some cases while others might require careful reasoning about high- and low-level details.
Ranked #12 on
Person Re-Identification
on CUHK03 detected
On the Generalization Effects of DenseNet Model Structures
Modern neural network architectures take advantage of increasingly deeper layers, and various advances in their structure to achieve better performance.
