Researcher Portfolio

 
   

Bulling, Andreas

Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society  

 

Researcher Profile

 
Position: Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Position: Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons86799

External references

 

Publications

 
  (1 - 25 of 170)
 : Sattar, H., Fritz, M., & Bulling, A. (2020). Deep Gaze Pooling: Inferring and Visually Decoding Search Intents from Human Gaze Fixations. Neurocomputing, 387, 369-382. doi:10.1016/j.neucom.2020.01.028. [PubMan] : Müller, P., Sood, E., & Bulling, A. (2020). Anticipating Averted Gaze in Dyadic Interactions. In A. Bulling, & A. Huckauf (Eds.), Proceedings ETRA 2020 Full Papers. New York, NY: ACM. doi:10.1145/3379155.3391332. [PubMan] : Müller, P., Buschek, D., Huang, M. X., & Bulling, A. (2019). Reducing Calibration Drift in Mobile Eye Trackers by Exploiting Mobile Phone Usage. In K. Krejtz (Ed.), Proceedings ETRA 2019. New York, NY: ACM. doi:10.1145/3314111.3319918. [PubMan] : Huang, M. X., & Bulling, A. (2019). SacCalib: Reducing Calibration Distortion for Stationary Eye Trackers Using Saccadic Eye Movements. In K. Krejtz, & B. Sharif (Eds.), Proceedings ETRA 2019. New York, NY: ACM. doi:10.1145/3317956.3321553. [PubMan] : Zhang, X., Sugano, Y., & Bulling, A. (2019). Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications. In S. Brewster, & G. Fitzpatrick (Eds.), CHI 2019. New York, NY: ACM. doi:10.1145/3290605.3300646. [PubMan] : Abdelnabi, S., Huang, M. X., & Bulling, A. (2019). Towards High-Frequency SSVEP-Based Target Discrimination with an Extended Alphanumeric Keyboard. In IEEE International Conference on Systems, Man, and Cybernetics (pp. 4181-4186). Piscataway, NJ: IEEE. doi:10.1109/SMC.2019.8914634. [PubMan] : Huang, M. X., Li, J., Ngai, G., Leong, H. V., & Bulling, A. (2019). Moment-to-Moment Detection of Internal Thought from Eye Vergence Behaviour. In MM '19 (pp. 2254-2262). New York, NY: ACM. doi:10.1145/3343031.3350573. [PubMan] : Zhang, X., Sugano, Y., Fritz, M., & Bulling, A. (2019). MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(1), 162-175. doi:10.1109/TPAMI.2017.2778103. [PubMan] : Steil, J., Koelle, M., Heuten, W., Boll, S., & Bulling, A. (2019). PrivacEye: Privacy-Preserving Head-Mounted Eye Tracking Using Egocentric Scene Image and Eye Movement Features. In K. Krejtz, & B. Sharif (Eds.), Proceedings ETRA 2019. New York, NY: ACM. doi:10.1145/3314111.3319913. [PubMan] : Bulling, A., & Wedel, M. (2019). Everyday Eye Tracking for Real-World Consumer Behavior Analysis. In M. Schulte-Mecklenbeck, A. Kühberger, & J. G. Johnson (Eds.), A Handbook of Process Tracing Methods for Decision Research (2nd ed., pp. 27-44). New York, NY: Taylor & Francis. [PubMan] : Steil, J., Tonsen, M., Sugano, Y., & Bulling, A. (2019). InvisibleEye: Fully Embedded Mobile Eye Tracking Using Appearance-Based Gaze Estimation. GetMobile, 23(2), 30-34. doi:10.1145/3372300.3372307. [PubMan] : Müller, P., & Bulling, A. (2019). Emergent Leadership Detection Across Datasets. In W. Gao, H. M. L. Meng, M. Turk, S. R. Fussell, B. W. Schuller, Y. Song, & K. Yu (Eds.), ICMI '19 (pp. 274-278). New York, NY: ACM. doi:10.1145/3340555.3353721. [PubMan] : Steil, J., Hagestedt, I., Huang, M. X., & Bulling, A. (2019). Privacy-Aware Eye Tracking Using Differential Privacy. In K. Krejtz, & B. Sharif (Eds.), Proceedings ETRA 2019. New York, NY: ACM. doi:10.1145/3314111.3319915. [PubMan] : Steil, J., Koelle, M., Heuten, W., Boll, S., & Bulling, A. (2018). PrivacEye: Privacy-Preserving First-Person Vision Using Image Features and Eye Movement Analysis. Retrieved from http://arxiv.org/abs/1801.04457. [PubMan] : Barz, M., Daiber, F., Sonntag, D., & Bulling, A. (2018). Error-Aware Gaze-Based Interfaces for Robust Mobile Gaze Interaction. In Proceedings ETRA 2018 (pp. 1-10). New York, NY: ACM. doi:10.1145/3204493.3204536. [PubMan] : Khan, A., Steiner, I., Sugano, Y., Bulling, A., & Macdonald, R. (2018). A Multimodal Corpus of Expert Gaze and Behavior during Phonetic Segmentation Tasks. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (pp. 4277-4281). ELRA. [PubMan] : Müller, P., Huang, M. X., & Bulling, A. (2018). Detecting Low Rapport During Natural Interactions in Small Groups from Non-Verbal Behaviour. In IUI 2018 (pp. 153-164). New York, NY: ACM. doi:10.1145/3172944.3172969. [PubMan] : Steil, J., Müller, P., Sugano, Y., & Bulling, A. (2018). Forecasting User Attention During Everyday Mobile Interactions Using Device-Integrated and Wearable Sensors. In MobileHCI 2018 (pp. 1-13). New York, NY: ACM. doi:10.1145/3229434.3229439. [PubMan] : Wood, E., Baltrusaitis, T., Morency, L.-P., Robinson, P., & Bulling, A. (2018). GazeDirector: Fully Articulated Eye Gaze Redirection in Video. Computer Graphics Forum, 37(2), 217-225. doi:10.1111/cgf.13355. [PubMan] : Park, S., Zhang, X., Bulling, A., & Hilliges, O. (2018). Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings. In Proceedings ETRA 2018 (pp. 1-10). New York, NY: ACM. doi:10.1145/3204493.3204545. [PubMan] : Khamis, M., Alt, F., & Bulling, A. (2018). The Past, Present, and Future of Gaze-enabled Handheld Mobile Devices: Survey and Lessons Learned. In MobileHCI 2018 (pp. 1-17). New York, NY: ACM. doi:10.1145/3229434.3229452. [PubMan] : Zhang, X., Sugano, Y., & Bulling, A. (2018). Revisiting Data Normalization for Appearance-Based Gaze Estimation. In Proceedings ETRA 2018. New York, NY: ACM. doi:10.1145/3204493.3204548. [PubMan] : Steil, J., Huang, M. X., & Bulling, A. (2018). Fixation Detection for Head-Mounted Eye Tracking Based on Visual Similarity of Gaze Targets. In Proceedings ETRA 2018 (pp. 1-9). New York, NY: ACM. doi:10.1145/3204493.3204538. [PubMan] : Khamis, M., Trotter, L., Mäkelä, V., von Zezschwitz, E., Le, J., Bulling, A., & Alt, F. (2018). CueAuth: Comparing Touch, Mid-Air Gestures, and Gaze for Cue-based Authentication on Situated Displays. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(4): 174. doi:10.1145/3287052. [PubMan] : Khamis, M., Baier, A., Henze, N., Alt, F., & Bulling, A. (2018). Understanding Face and Eye Visibility in Front-Facing Cameras of Smartphones used in the Wild. In CHI 2018. New York, NY: ACM. doi:10.1145/3173574.3173854. [PubMan]