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| Can Your Eyes Tell Me How You | think | ? A Gaze Directed Estimation of the Mental Activity |
| Framework See- | think | -do As A Tool For Crowdsourcing Support: Case Study On Crisis Management |
| Guiding Computers, Robots to See and | think | |
| In-use emissions testing of diesel-driven buses in Southampton: Is selective catalytic reduction as effective as fleet operators | think | ? |
| Learning to | think | Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift |
| Look and | think | Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks |
| Principles for Human-Centered Interaction Design, Part 2: Can Humans and Machines | think | Together? |
| think | big, solve small: Scaling up robust PCA with coupled dictionaries |
| think | Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation |
| think | Spatially With Game Engine |
| think | Spectrally |
| think | Twice Before Detecting GAN-generated Fake Images from their Spectral Domain Imprints |
| think | Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving |
| think | -Aloud Method for Evaluating the Usability of a Regional Atlas, The |
| What do New Yorkers | think | about Impacts and Adaptation to Heat Waves? An Evaluation Tool to Incorporate Perception of Low-Income Groups into Heat Wave Adaptation Scenarios in New York City |
| What It | think | s Is Important Is Important: Robustness Transfers Through Input Gradients |
| What, Why, Where and How Do Children | think | ? Towards a Dynamic Model of Spatial Cognition as Action |
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| 3D Landform Modeling to Enhance Geospatial | thinking | |
| Application of Design | thinking | in the Education Segment, Regarding the Human-Computer Interactions |
| Automatic Detection of Reflective | thinking | in Mathematical Problem Solving Based on Unconstrained Bodily Exploration |
| Beyond | thinking | in common categories: Predicting obstacle vulnerability using large random codebooks |
| Collaborative Concept Tagging for Images Based on Ontological | thinking | |
| Cooperative Training of Fast | thinking | Initializer and Slow Thinking Solver for Conditional Learning |
| Cooperative Training of Fast | thinking | Initializer and Slow Thinking Solver for Conditional Learning |
| Evaluation of Spatial | thinking | Ability Based on Exposure to Geographical Information Systems (GIS) Concepts in the Context of Higher Education |
| Fine-Grained Image Quality Assessment: A Revisit and Further | thinking | |
| Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further | thinking | , The |
| Mode-shape interpretation: Re- | thinking | modal space for recovering deformable shapes |
| Multi-level | thinking | cellular automata using granular computing title |
| New | thinking | of LULC Classification Accuracy Assessment, A |
| Re- | thinking | Co-Salient Object Detection |
| Re- | thinking | Federated Active Learning Based on Inter-Class Diversity |
| Re- | thinking | Model Inversion Attacks Against Deep Neural Networks |
| Re- | thinking | non-rigid structure from motion |
| Re- | thinking | the Effectiveness of Batch Normalization and Beyond |
| Re- | thinking | the Relations in Co-Saliency Detection |
| Reverse | thinking | : A New Method from the Graph Perspective for Evaluating and Mitigating Regional Surface Heat Islands |
| Reverse | thinking | : The Logical System Research Method of Urban Thermal Safety Pattern Construction, Evaluation, and Optimization |
| Search for or Navigate to? Dual Adaptive | thinking | for Object Navigation |
| Supporting Disaster Resilience Spatial | thinking | with Serious GeoGames: Project Lily Pad |
| thinking | Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices |
| thinking | Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers |
| thinking | Hallucination for Video Captioning |
| thinking | Image Color Aesthetics Assessment: Models, Datasets and Benchmarks |
| thinking | in Frequency: Face Forgery Detection by Mining Frequency-aware Clues |
| thinking | Inside the Box: Using Appearance Models and Context Based on Room Geometry |
| thinking | Inside Uncertainty: Interest Moment Perception for Diverse Temporal Grounding |
| thinking | Outside the Box: Generation of Unconstrained 3D Room Layouts |
| thinking | Outside the Pool: Active Training Image Creation for Relative Attributes |
| thinking | Virtual |
| What has been missed for real life driving? an inspirational | thinking | from human innate biases |
| You are Here: Mimicking the Human | thinking | Process in Reading Floor-Plans |
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