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research register
TW

Thomas Wallis

Professor · TU Darmstadt

hessian.AI
Computer visionCognitive psychologyPattern recognition (psychology)LightnessPerceptionArtificial neural network
20
papers in the register
124
works on openalex
19
h-index
1,897
citations
29
i10-index
sourced · openalex bibliometrics

papers in the register

  1. Predictive visual uncertainty around moving trajectories influences causality judgments in launching displays
    i-Perception · 2026
    Causality (physics)TrajectoryReplicateTask (project management)
  2. Delay adaptation does not transfer between discrete button press actions and continuous control
    i-Perception · 2025
    Adaptation (eye)StylusComputer scienceTask (project management)
  3. Low-level features predict perceived similarity for naturalistic images
    Journal of Vision · 2025
    Artificial intelligenceLuminanceSimilarity (geometry)Scene statistics
  4. A deep convolutional neural network trained for lightness constancy is susceptible to lightness illusions
    bioRxiv (Cold Spring Harbor Laboratory) · 2025
    LightnessArtificial intelligenceConvolutional neural networkComputer vision
  5. Deep neural networks trained for estimating albedo and illumination achieve lightness constancy differently than human observers
    bioRxiv (Cold Spring Harbor Laboratory) · 2025
    LightnessColor constancyAlbedo (alchemy)Artificial intelligence
  6. Stimulus distributions affect uncertainty sampling approaches to adaptive estimation of classification images
    Journal of Vision · 2024
    Affect (linguistics)Artificial intelligenceComputer scienceStimulus (psychology)
  7. Deep learning models for lightness constancy can exploit both natural lighting cues and rendering artifacts.
    Journal of Vision · 2024
    ExploitRendering (computer graphics)LightnessComputer science
  8. A psychophysical evaluation of techniques for Mooney image generation
    PeerJ · 2024
    ThresholdingArtificial intelligenceInterpretabilitySmoothing
  9. A computational account of transsaccadic attentional allocation based on visual gain fields
    Proceedings of the National Academy of Sciences · 2024
    CovertComputer scienceEye movementVisual space
  10. Bayesian adaptive estimation of high-dimensional psychometric functions: A particle filtering approach
    Journal of Vision · 2024
    Particle filterEstimationBayesian probabilityParticle (ecology)
  11. From visual features of moving objects to subjective impressions of causality
    Journal of Vision · 2024
    Causality (physics)Computer scienceArtificial intelligencePsychology
  12. No evidence that late-sighted individuals rely more on color for object recognition: Reply to Vogelsang et al.
    2024
    Task (project management)Object (grammar)BlindnessVariety (cybernetics)
  13. Combining surface reflectance and motion cues in peripheral target detection
    Journal of Vision · 2024
    ReflectivityComputer visionSurface (topology)Motion (physics)
  14. Low-level features predict perceived similarity for naturalistic images
    bioRxiv (Cold Spring Harbor Laboratory) · 2024
    Similarity (geometry)Artificial intelligencePsychologyPattern recognition (psychology)
  15. Individual differences in visual mental imagery assessed through standard and evolutionary classification images
    Journal of Vision · 2024
    Mental imagePsychologyArtificial intelligenceCognitive psychology
  16. How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
    NeurIPS · 2021
  17. Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization.
    ICLR · 2021
  18. Measuring the Importance of Temporal Features in Video Saliency.
    ECCV · 2020
  19. Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics.
    ECCV · 2018
  20. Understanding Low- and High-Level Contributions to Fixation Prediction.
    ICCV · 2017

Profile built from publicly available sources (OpenAlex, arXiv; origin per Art. 14 GDPR). Corrections or removal · aisr@hessian.ai