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| 3D Measurements from Imaging Laser Radars: How Good Are | they | ? |
| Acoustic Scene Classification: Classifying environments from the sounds | they | produce |
| Adversarial Examples for Edge Detection: | they | Exist, and They Transfer |
| Adversarial Examples for Edge Detection: | they | Exist, and They Transfer |
| Affective Words and the Company | they | Keep: Studying the Accuracy of Affective Word Lists in Determining Sentence and Word Valence in a Domain-Specific Corpus |
| Are metrics measuring what | they | should? An evaluation of Image Captioning task metrics |
| Are | they | Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text |
| Are | they | Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior |
| Are | they | Paying Attention? A Model-Based Method to Identify Individuals' Mental States |
| Biologically Significant Facial Landmarks: How Significant Are | they | for Gender Classification? |
| Can the Biases in Facial Recognition Be Fixed; Also, Should | they | ? |
| Can we trust computer with body-cam video? Police departments are being led to believe AI will help, but | they | should be wary |
| Closer Look at the Transferability of Adversarial Examples: How | they | Fool Different Models Differently |
| Deep Nets: What have | they | Ever Done for Vision? |
| Depth from Defocus vs. Stereo: How Different Really Are | they | ? |
| Descriptive and Prescriptive Languages for Mobility Tasks: Are | they | Different? |
| Do Open Geodata Actually Have The Quality | they | Declare? The Case Study Of Milan, Italy |
| Do | they | like me? Using video cues to predict desires during speed-dates |
| Do | they | Share the Same Tail? Learning Individual Compositional Attribute Prototype for Generalized Zero-shot Learning |
| Exploring the Real-Time WRF Forecast Skill for Four Tropical Storms, Isaias, Henri, Elsa and Irene, as | they | Impacted the Northeast United States |
| Extensions of Karger's Algorithm: Why | they | Fail in Theory and How They Are Useful in Practice |
| Extensions of Karger's Algorithm: Why | they | Fail in Theory and How They Are Useful in Practice |
| Fiducial Reference Measurements (FRMs): What Are | they | ? |
| First-Person Activity Recognition: What Are | they | Doing to Me? |
| From early biological models to CNNs: do | they | look where humans look? |
| Generalized Cylinders: What Are | they | ? |
| Holistic assessment of driver assistance systems: how can systems be assessed with respect to how | they | impact glance behaviour and collision avoidance? |
| How robots became essential workers: | they | disinfected hospital rooms. They delivered medical supplies. They swabbed people's throats. Next time around, they'll be treating patients |
| How robots became essential workers: | they | disinfected hospital rooms. They delivered medical supplies. They swabbed people's throats. Next time around, they'll be treating patients |
| How robots became essential workers: | they | disinfected hospital rooms. They delivered medical supplies. They swabbed people's throats. Next time around, they'll be treating patients |
| How robots became essential workers: | they | disinfected hospital rooms. They delivered medical supplies. They swabbed people's throats. Next time around, they'll be treating patients |
| How | they | Move Reveals What Is Happening: Understanding the Dynamics of Big Events from Human Mobility Pattern |
| Let Them Choose What | they | Want: A Multi-Task CNN Architecture Leveraging Mid-Level Deep Representations for Face Attribute Classification |
| Let Them Fall Where | they | May: Capture Regions of Curved Objects and Polyhedra |
| Mathematical Theories of Shape: Do | they | Model Perception? |
| Oil Droplet Clouds Suspended in the Sea: Can | they | Be Remotely Detected? |
| One Where | they | Reconstructed 3D Humans and Environments in TV Shows, The |
| Patterns in Poor Learning Engagement in Students While | they | Are Solving Mathematics Exercises in an Affective Tutoring System Related to Frustration |
| Performance Gestures of Musicians: What Structural and Emotional Information Do | they | Convey? |
| Priors for Large Photo Collections and What | they | Reveal about Cameras |
| Recording Cultural Heritage Using Terrestrial Laserscanning: Dealing with the System, the Huge Datasets | they | Create and Ways to Extract the Necessary Deliverables You Can Work with |
| Segmentation Versus Object Representation: Are | they | Separable? |
| Semi-autonomous advanced parking assistants: do | they | really have to be learned if steering is automated? |
| Symmetry-Based Graph Fourier Transforms: Are | they | Optimal for Image Compression? |
| they | are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning |
| they | are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers |
| Understanding the Impact of Negative Prompts: When and How Do | they | Take Effect? |
| Using behavior analysis algorithms to anticipate security threats before | they | impact mission critical operations |
| Way | they | Move: Tracking Multiple Targets with Similar Appearance, The |
| What Are Soft Biometrics and How Can | they | Be Used? |
| What are | they | doing?: Collective activity classification using spatio-temporal relationship among people |
| What Machines See Is Not What | they | Get: Fooling Scene Text Recognition Models With Adversarial Text Images |
| Where and Why are | they | Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks |
| Where Are | they | Going? Clustering Event Camera Data to Detect and Track Moving Objects |
| Where are | they | looking in the 3D space? |
| Where Will | they | Go? Predicting Fine-Grained Adversarial Multi-agent Motion Using Conditional Variational Autoencoders |
| Why | they | Escape: Mining Prioritized Fuzzy Decision Rule in Crowd Evacuation |
| Wigner Distributions and How | they | Relate to the Light Field |
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