Accepted Papers
Proceedings
Open-access versions of the papers presented in this workshop can be found in the online workshop proceedings here. Final versions will be published in IEEE Xplore.
Full Papers
2. ViS-HuD: Using Multiplied Visual Saliency to Improve Human Detection with Convolutional Neural Networks
Vandit J. Gajjar
3. Priming Neural Networks
Amir Rosenfeld, John Tsotsos, & Mahdi Biparva
5. Learning Biomimetic Perception for Human Sensorimotor Control
Masaki Nakada, Honglin Chen, & Demetri Terzopoulos
6. Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network
Tian Xu, Oliver Garrod, Philippe Schyns, & Robin Ince
7. Relating Deep Neural Network Representations to EEG-fMRI Spatiotemporal Dynamics in a Perceptual Decision-Making Task
Tao Tu, Jonathan Koss, & Paul Sajda
12. Audio-Visual Temporal Saliency Modeling Validated by fMRI Data
Petros Koutras, Georgia Panagiotaropoulou, Antigoni Tsiami, & Petros Maragos
13. Assessing Shape Bias Property of Convolutional Neural Networks
Mayoore Jaiswal, Hossein Hosseini, Baicen Xiao, & Radha Poovendran
14. Deep-BCN: Deep Networks Meet Biased Competition to Create a Brain-Inspired Model of Attention Control
Gregory Zelinsky & Hossein Adeli
16. Image Caption Generation with Hierarchical Contextual Visual Spatial Attention
Oliver Schulte & Mahmoud Khademi
17. Scene Grammar in Human and Machine Recognition of Objects and Scenes
Do Hyong Koh, Anubhaw Nand, Marta Pereira, Marc Pomplun, & Akram Bayat
18. Estimating Attention of Faces due to its Growing Level of Emotions
Ravi Kant Kumar, Jogendra Garain, Goutam Sanyal, & Dakshina Ranjan Kisku
Extended Abstracts
4. Totally Looks Like - How Humans Compare, Compared to Machines
John Tsotsos, Markus Solbach, & Amir Rosenfeld
9. Fusing Visual Saliency for Material Recognition
Ying Xu, Junyu Dong, Lin Qi, & Xiaowei Shang
11. Increasing Video Saliency Model Generalizability by Training for Smooth Pursuit Prediction
Michael Dorr & Mikhail Startsev
15. Representation of Categories in Filters of Deep Neural Networks
Katerina Malakhova
Presenter Instructions
For poster dimensions and guidelines, please see the Presenter Instructions on the CVPR 2018 website.