Schedule

Venue

Talks will be in room 250-A. Posters are in Exhibit Hall 1.

Schedule

Morning session

  • 8:45 - 9:00 Opening remarks [Organizers]
  • 9:00 - 9:45 Invited talk 1: Human and Machine Perception of 3D Shape from Contour [James Elder] [slides]
  • 9:50 - 10:35 Invited talk 2: Predicting Goal-Directed Attention Control: A Tale of Two Deep Networks [Gregory Zelinsky] [slides]
  • 10:35 - 12:00 Coffee break + Poster session

Afternoon session

  • 2:00 - 2:45 Invited talk 3: Studying Visual Learning in Children Using Computer Vision [David Crandall] [slides]
  • 2:50 - 3:10 Oral presentation 1: Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network [Tian Xu, Oliver Garrod, Philippe Schyns, & Robin Ince]
  • 3:10 - 3:30 Oral presentation 2: Relating Deep Neural Network Representations to EEG-fMRI Spatiotemporal Dynamics in a Perceptual Decision-Making Task [Tao Tu, Jonathan Koss, & Paul Sajda]
  • 3:30 - 4:00 Coffee break
  • 4:00 - 4:20 Oral presentation 3: Scene Grammar in Human and Machine Recognition of Objects and Scenes [Akram Bayat, Do Hyong Koh, Anubhaw Nand, Marta Pereira, Marc Pomplun]
  • 4:20 - 4:40 Oral presentation 4: Audio-Visual Temporal Saliency Modeling Validated by fMRI Data [Georgia Panagiotaropoulou, Petros Maragos, Antigoni Tsiami, & Petros Koutras]
  • 4:40 - 5:00 Oral presentation 5: Priming Neural Networks [Amir Rosenfeld, John Tsotsos, & Mahdi Biparva]
  • 5:00 - 5:30 Panel discussion [Organizers + Speakers]