6 citations · 9 across the 5 of their papers we have counts for
5 papers
Are you Struggling? Dataset and Baselines for Struggle Determination in Assembly Videos
Shijia Feng, Michael Wray, Brian Sullivan +4
Determining when people are struggling allows for a finer-grained understanding of actions that complements conventional action classification and error detection. Struggle detecti…
What deep reinforcement learning tells us about human motor learning and vice-versa
Michele Garibbo, Casimir Ludwig, Nathan Lepora +1
Machine learning and specifically reinforcement learning (RL) has been extremely successful in helping us to understand neural decision making processes. However, RL's role in unde…
Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation
Milton L. Montero, Jeffrey S. Bowers, Rui Ponte Costa +2
Recent research has shown that generative models with highly disentangled representations fail to generalise to unseen combination of generative factor values. These findings contr…
The human visual system and CNNs can both support robust online translation tolerance following extreme displacements
Ryan Blything, Valerio Biscione, Ivan I. Vankov +2
Visual translation tolerance refers to our capacity to recognize objects over a wide range of different retinal locations. Although translation is perhaps the simplest spatial tran…
Biased Average Position Estimates in Line and Bar Graphs: Underestimation, Overestimation, and Perceptual Pull
Cindy Xiong, Cristina R. Ceja, Casimir J. H. Ludwig +1
In visual depictions of data, position (i.e., the vertical height of a line or a bar) is believed to be the most precise way to encode information compared to other encodings (e.g.…