Biblio

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2021
R. Peng, Elyasi, F., and Manduchi, R., “Smartphone-Based Inertial Odometry for Blind Walkers”, Sensors, vol. 21, no. 12, 2021.
H. Kaur and Manduchi, R., “Subject Guided Eye Image Synthesis with Application to Gaze Redirection”, in WACV 2021, 2021.
2020
F. Mirzaei, Lam, J., and Manduchi, R., “Accurate Self-Localization in Transit Stations: A Case Study”, in PerAwareCity 2020, 2020.
F. Mirzaei, Lam, J., and Manduchi, R., “Accurate Self-Localization in Transit Stations: A Case Study”, in PerAwareCity 2020, 2020.
H. Kaur and Manduchi, R., “EyeGAN: Gaze–Preserving, Mask–Mediated Eye Image Synthesis”, in Winter Conference on Applications of Computer Vision (WACV 2020), 2020.
V. Trinh and Manduchi, R., “Feeling Your Way Around: Assessing the Perceived Utility of Multi-Scale Indoor Tactile Maps”, in ACM CHI 2020 - Case Study track, 2020.
V. Trinh and Manduchi, R., “A Multi-scale Embossed Map Authoring Tool for Indoor Environments”, in 17th International Conference on Computers Helping People with Special Needs (ICCHP 20), 2020.
2019
S. Kim and Manduchi, R., “Multi-planar Monocular Reconstruction of Manhattan Indoor Scenes”, in 2019 SUMO Workshop - 360° Indoor Scene Understanding and Modeling, 2019.
L. Neat, Peng, R., Qin, S., and Manduchi, R., “Scene Text Access: A Comparison of Mobile OCR Modalities for Blind Users”, in Intelligent User Interfaces (IUI'19), 2019.
V. Trinh and Manduchi, R., “Semantic Interior Mapology: A Toolbox For Indoor Scene Description From Architectural Floor Plans”, in Web3D, 2019.
2018
S. Qin, Wei, J., and Manduchi, R., “Automatic Semantic Content Removal by Learning to Neglect”, in British Machine Vision Conference (BMVC 2018), 2018.
G. Flores and Manduchi, R., “Easy Return: An App for Indoor Backtracking Assistance”, in ACM CHI Conference on Human Factors in Computing Systems (CHI'18), 2018.
S. Kim, Manduchi, R., and Qin, S., “Multi-planar Monocular Reconstruction of Manhattan Indoor Scenes”, International Conference on 3D Vision (3DV 2018). 2018.
F. Mirzaei, Manduchi, R., and Kurniawan, S., “Public Transit Accessibility: Blind Passengers Speak Out”, in 16th International Conference on Computers Helping People with Special Needs, 2018.
F. Mirzaei, Manduchi, R., and Kurniawan, S., “Public Transit Accessibility: Blind Passengers Speak Out”, in 16th International Conference on Computers Helping People with Special Needs, 2018.
G. Flores and Manduchi, R., “A Public Transit Assistant for Blind Passengers: Development and Experiments”, IEEE Pervasive Computing, vol. 17, no. 1, 2018.
D. Cazzato, Dominio, F., Manduchi, R., and Castro, S. M., “Real-time Gaze Estimation Via Pupil Center Tracking”, Paladyn, Journal of Behavioral Robotics, vol. 9, no. 1, 2018.
S. Qin, Peng, R., Kim, S., and Manduchi, R., “Robust and Accurate Text Stroke Segmentation”, in IEEE Winter Conf. on Applications of Computer Vision (WACV2018), 2018.
A. Alvarado, Chong, A., Kojitani, Y., Orellana, E., Vadai, E., Zhang, L., Flores, G., Manduchi, R., and Miller, E., “RouteMe2: A Cloud-Based Infrastructure for Assisted Transit”, in Transportation Research Board, 2018.
A. Alvarado, Chong, A., Kojitani, Y., Orellana, E., Vadai, E., Zhang, L., Flores, G., Manduchi, R., and Miller, E., “RouteMe2: A Cloud-Based Infrastructure for Assisted Transit”, in Transportation Research Board, 2018.
G. Flores and Manduchi, R., “WeAllWalk: An Annotated Data Set of Inertial Sensor Time Series from Blind Walkers”, ACM Transactions on Accessible Computing, vol. 11, no. 1, 2018.
2017
S. Qin, Kim, S., and Manduchi, R., “Automatic Skin and Hair Masking Using Fully Convolutional Networks”, in Proceedings of the IEEE International Conference on Multimedia and Expo (ICME) 2017, 2017.
S. Qin and Manduchi, R., “Cascaded Segmentation-Detection Networks for Word-Level Text Spotting”, in Proc. 14th IAPR International Conference on Document Analysis and Recognition (ICDAR 2017), 2017.
M. Cutter and Manduchi, R., “Improving the Accessibility of Mobile OCR Apps Via Interactive Modalities”, ACM Transactions on Accessible Computing, vol. 10(4), 2017.
C. Kim and Manduchi, R., “Indoor Manhattan Spatial Layout Recovery from Monocular Videos via Line Matching”, Computer Vision and Image Understanding, vol. 157, 2017.

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