Results 11 to 20 of about 5,005,879 (399)

Visual Perception

Encyclopedia of Database Systems, 2018
of 24.2) and 10 old (mean age of 71.4) partlclpants were shown with a short version of the psychophysical paradigm proposed by Pokorny and Smith (1997 Journal of the Optical Society of America), to bias processing toward MC or Pc.
Silvia Gabrielli
semanticscholar   +4 more sources

Visual perception of biological motion and a model for its analysis [PDF]

, 1973
G. Johansson
semanticscholar   +2 more sources

Unleashing Text-to-Image Diffusion Models for Visual Perception [PDF]

IEEE International Conference on Computer Vision, 2023
Diffusion models (DMs) have become the new trend of generative models and have demonstrated a powerful ability of conditional synthesis. Among those, text-to-image diffusion models pre-trained on large-scale image-text pairs are highly controllable by ...
Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu   +5 more
semanticscholar   +1 more source

TransNeXt: Robust Foveal Visual Perception for Vision Transformers [PDF]

Computer Vision and Pattern Recognition, 2023
Due to the depth degradation effect in residual connections, many efficient Vision Transformers models that rely on stacking layers for information exchange often fail to form sufficient information mixing, leading to unnatural visual perception.
Dai Shi
semanticscholar   +1 more source

Distortions of Subjective Time Perception Within and Across Senses [PDF]

, 2008
Background: The ability to estimate the passage of time is of fundamental importance for perceptual and cognitive processes. One experience of time is the perception of duration, which is not isomorphic to physical duration and can be distorted by a ...
A Bendixen, A Johnston, A Pascual-Leone, BA Wright, D Alais, D Brainard, D Buonomano, D Burr, D Pelli, D Rose, D Zakay, David Eagleman, Dean V. Buonomano, DM Eagleman, DW Massaro, E Pöppel, E Pöppel, G Oléron, G Westheimer, GH Recanzone, I Hodinott-Hill, J Bresciani, J Gebhard, J Park, J Ross, JH Wearden, JT Coull, JT Coull, JX Maier, K N'Diaye, K Watanabe, K Yarrow, K Yarrow, KP Kording, L Allan, L Battelli, L Shams, Ladan Shams, M Dhamala, M Treisman, M Wittmann, MC Morrone, MD Mauk, MI Leon, MJ Penner, MO Ernst, MO Ernst, N Roach, P Fraisse, PA Lewis, PU Tse, R Efron, R Kanai, R Plomp, R van Beers, R Welch, RA Block, RB Ivry, S Denève, S Droit-Volet, S Droit-Volet, S Goldstone, SE Guttman, Shinsuke Shimojo, SK Rosahl, SL Franconeri, SL Franconeri, SS Nagarajan, T Shipley, TB Penney, TB Penney, UR Karmarkar, UR Karmarkar, V Pariyadath, V van Wassenhove, Virginie van Wassenhove, W Ball, W James, W Schiff   +78 more
core   +15 more sources

3D Sensors for Sewer Inspection: A Quantitative Review and Analysis

Sensors, 2021
Automating inspection of critical infrastructure such as sewer systems will help utilities optimize maintenance and replacement schedules. The current inspection process consists of manual reviews of video as an operator controls a sewer inspection ...
Chris H. Bahnsen, Anders S. Johansen, Mark P. Philipsen, Jesper W. Henriksen, Kamal Nasrollahi, Thomas B. Moeslund   +5 more
doaj   +1 more source

From CAD Models to Soft Point Cloud Labels: An Automatic Annotation Pipeline for Cheaply Supervised 3D Semantic Segmentation

Remote Sensing, 2023
We propose a fully automatic annotation scheme that takes a raw 3D point cloud with a set of fitted CAD models as input and outputs convincing point-wise labels that can be used as cheap training data for point cloud segmentation.
Galadrielle Humblot-Renaux, Simon Buus Jensen, Andreas Møgelmose   +2 more
doaj   +1 more source

Imitating Emergencies: Generating Thermal Surveillance Fall Data Using Low-Cost Human-like Dolls

Sensors, 2022
Outdoor fall detection, in the context of accidents, such as falling from heights or in water, is a research area that has not received as much attention as other automated surveillance areas. Gathering sufficient data for developing deep-learning models
Ivan Nikolov, Jinsong Liu, Thomas Moeslund   +2 more
doaj   +1 more source

Real‐world super‐resolution of face‐images from surveillance cameras

IET Image Processing, 2022
Most existing face image Super‐Resolution (SR) methods assume that the Low‐Resolution (LR) images were artificially downsampled from High‐Resolution (HR) images with bicubic interpolation.
Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund   +2 more
doaj   +1 more source

Who Cares about the Weather? Inferring Weather Conditions for Weather-Aware Object Detection in Thermal Images

Applied Sciences, 2023
Deployments of real-world object detection systems often experience a degradation in performance over time due to concept drift. Systems that leverage thermal cameras are especially susceptible because the respective thermal signatures of objects and ...
Anders Skaarup Johansen, Kamal Nasrollahi, Sergio Escalera, Thomas B. Moeslund   +3 more
doaj   +1 more source