| AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition | 0 | 0.34 | 2021 |
| Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition | 2 | 0.36 | 2021 |
| VA-RED2: Video Adaptive Redundancy Reduction | 0 | 0.34 | 2021 |
| Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions | 0 | 0.34 | 2021 |
| Experiences and Insights for Collaborative Industry-Academic Research in Artificial Intelligence | 0 | 0.34 | 2020 |
| Relationship Matters - Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. | 0 | 0.34 | 2020 |
| Moments in Time Dataset: one million videos for event understanding | 28 | 0.80 | 2020 |
| How Much Time Do You Have? Modeling Multi-Duration Saliency | 0 | 0.34 | 2020 |
| Identifying Interpretable Action Concepts in Deep Networks. | 0 | 0.34 | 2019 |
| The Algonauts Project | 0 | 0.34 | 2019 |
| Reasoning About Human-Object Interactions Through Dual Attention Networks | 1 | 0.36 | 2019 |
| What do different evaluation metrics tell us about saliency models? | 68 | 2.34 | 2019 |
| The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. | 0 | 0.34 | 2019 |
| Places: A 10 million Image Database for Scene Recognition. | 245 | 6.30 | 2018 |
| Tracking the spatiotemporal neural dynamics of real-world object size and animacy in the human brain | 1 | 0.39 | 2018 |
| Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. | 1 | 0.35 | 2018 |
| Understanding Infographics through Textual and Visual Tag Prediction. | 2 | 0.35 | 2017 |
| BubbleView: An Interface for Crowdsourcing Image Importance Maps and Tracking Visual Attention. | 8 | 0.44 | 2017 |
| BubbleView: an alternative to eye-tracking for crowdsourcing image importance. | 0 | 0.34 | 2017 |
| Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks. | 15 | 0.74 | 2017 |
| Content-Dependent Fusion: Combining Human MEG and FMRI Data to Reveal Spatiotemporal Dynamics of Animacy and Real-world Object Size. | 0 | 0.34 | 2017 |
| Asynchronous Data Aggregation for Training End to End Visual Control Networks. | 2 | 0.37 | 2017 |
| Memorability: A stimulus-driven perceptual neural signature distinctive from memory. | 2 | 0.36 | 2017 |
| Interpreting Deep Visual Representations via Network Dissection. | 19 | 0.77 | 2017 |
| Beyond Memorability: Visualization Recognition And Recall | 4 | 0.37 | 2016 |
| Where Should Saliency Models Look Next? | 34 | 0.99 | 2016 |
| Places: An Image Database for Deep Scene Understanding. | 26 | 1.03 | 2016 |
| Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition | 6 | 0.43 | 2016 |
| SUN Database: Exploring a Large Collection of Scene Categories | 66 | 2.89 | 2016 |
| Learning visual biases from human imagination | 8 | 0.48 | 2015 |
| Learning Deep Features For Discriminative Localization | 539 | 13.00 | 2015 |
| Interaction envelope: Local spatial representations of objects at all scales in scene-selective regions. | 5 | 0.57 | 2015 |
| Understanding and Predicting Image Memorability at a Large Scale | 34 | 1.23 | 2015 |
| A Crowdsourced Alternative to Eye-tracking for Visualization Understanding | 3 | 0.39 | 2015 |
| Eye Fixation Metrics for Large Scale Evaluation and Comparison of Information Visualizations. | 1 | 0.34 | 2015 |
| What Makes a Photograph Memorable? | 13 | 0.57 | 2014 |
| Predicting Actions From Static Scenes | 12 | 0.55 | 2014 |
| Acquiring Visual Classifiers from Human Imagination. | 2 | 0.38 | 2014 |
| Object Detectors Emerge in Deep Scene CNNs. | 175 | 7.52 | 2014 |
| Recognizing City Identity Via Attribute Analysis Of Geo-Tagged Images | 32 | 1.28 | 2014 |
| Learning Deep Features for Scene Recognition using Places Database. | 50 | 3.48 | 2014 |
| Modifying the Memorability of Face Photographs | 30 | 1.21 | 2013 |
| What Makes a Visualization Memorable? | 118 | 4.43 | 2013 |
| Memorability of Image Regions. | 35 | 1.42 | 2012 |
| Establishing a Database for Studying Human Face Photograph Memory. | 3 | 0.50 | 2012 |
| What makes an image memorable? | 64 | 3.34 | 2011 |
| Estimating scene typicality from human ratings and image features. | 13 | 1.16 | 2011 |
| Canonical views of scenes depend on the shape of the space | 5 | 0.47 | 2011 |
| SUN database: Large-scale scene recognition from abbey to zoo | 319 | 16.40 | 2010 |
| Hybrid images | 16 | 5.00 | 2006 |
