~/talks

Andreas Bulling

what they talk about

all 8 in the filters

where they keep going back

  • UIST4 editions2015–2025
  • CHI2 editions2016–2018

on a stage with

all 22 in the filters

who talks about the same things

nobody close enough yet

titleconferencedate
HAGI: Head-Assisted Gaze Imputation for Mobile Eye TrackersUIST 20252025-09-28
A diffusion-based imputation model uses time-aligned head orientation (rotation + translation) and observed gaze to reconstruct missing gaze segments, training…
Talk on
Understanding Face and Eye Visibility in Front-Facing Cameras of Smartphones used in the WildCHI 20182018-04-21
Field study installs a recorder app on 11 phones for two weeks and collects 25,726 in‑the‑wild photos plus sensor and app logs; full face appears only 29% full…
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Everyday Eye Contact Detection Using Unsupervised Gaze Target DiscoveryUIST 20172017-10-22
Combines an appearance-based gaze estimator with unsupervised gaze target discovery that mounts one camera to each candidate object, projects estimated gaze…
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EyeScout: Active Eye Tracking for Position and Movement Independent Gaze Interaction with Large ...UIST 20172017-10-22
EyeScout mounts a commercial eye tracker on a motorized rail and uses a Kinect body tracker plus an Arduino-driven stepper to move the sensor to each user…
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AggreGaze: Collective Estimation of Audience Attention on Public DisplaysUIST 20162016-10-16
AggreGaze: Collective Estimation of Audience Attention on Public Displays Yusuke Sugano, Xucong Zhang, Andreas Bulling UIST '16: ACM Symposium on User…
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SkullConduct: Biometric User Identification on Eyewear Computers Using Bone Conduction Through ...CHI 20162016-05-07
SkullConduct uses a bone‑conduction speaker on eyewear and the device microphone to play and record a white‑noise probe, extracts MFCC features and classifies…
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GravitySpot: Guiding Users in Front of Public Displays Using On-Screen Visual CuesUIST 20152015-11-08
System implements visual cues (color, shape, motion) applied to screen content and uses Kinect-based 2D tracking to pull people to arbitrary “sweet spots.” Lab…
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Self-Calibrating Head-Mounted Eye Trackers Using Egocentric Visual SaliencyUIST 20152015-11-08
Shows a self-calibration pipeline that reduces calibration drift for head-mounted eye trackers by aligning eye-feature embeddings to predicted visual saliency…
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GazeProjector: Accurate Gaze Estimation and Seamless Gaze Interaction Across ...UIST 20152015-11-08
GazeProjector maps 2D pupil positions from a Pupil Labs head-mounted eye tracker into display coordinates by matching streamed display screenshots to the scene…
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Orbits: Gaze Interaction for Smart Watches using Smooth Pursuit Eye MovementsUIST 20152015-11-08
Orbits is a gaze-only input that places moving targets on a watch face and detects selections by correlating eye and target trajectories with smooth pursuits…
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