1 citations · 1 across the 5 of their papers we have counts for
7 papers
GazeDiT: Gaze-Accurate Diffusion Image Generation for Eye Tracking via Spatial Conditioning
Dongze Wu, David Colmenares, Fengting Yang +4
Diffusion models are increasingly used to generate synthetic training data, but precise label control remains difficult when the conditioning signal is low-dimensional and coarse.…
GazePrior: Zero-Shot AR/VR Eye Tracking via Learned 3D Gaze Reconstruction
Corentin Dumery, David Colmenares, Alexander Fix +3
Eye tracking (ET) is a foundational technology for advanced AR/VR applications. However, training ET models for every new ET device is challenging: real data collection is costly a…
Open-source segmentation and biometry dataset using spectrally-multiplexed whole-eye optical coherence tomography
Ruobing Qian, Catherine Fromm, Pushkar Anand +6
Whole-eye optical coherence tomography (WEOCT) has emerged as a transformative imaging modality capable of simultaneously capturing the anterior and posterior segments of the human…
Rapidly deploying on-device eye tracking by distilling visual foundation models
Cheng Jiang, Jogendra Kundu, David Colmenares +4
Eye tracking (ET) plays a critical role in augmented and virtual reality applications. However, rapidly deploying high-accuracy, on-device gaze estimation for new products remains…
Polarization-resolved imaging improves eye tracking
Mantas Žurauskas, Tom Bu, Sanaz Alali +10
Polarization-resolved near-infrared imaging adds a useful optical contrast mechanism to eye tracking by measuring the polarization state of light reflected by ocular tissues in add…
Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts
Jin Li, Deepta Rajan, Chintan Shah +7
Histopathology images are gigapixel-sized and include features and information at different resolutions. Collecting annotations in histopathology requires highly specialized pathol…
Multi stain graph fusion for multimodal integration in pathology
Chaitanya Dwivedi, Shima Nofallah, Maryam Pouryahya +8
In pathology, tissue samples are assessed using multiple staining techniques to enhance contrast in unique histologic features. In this paper, we introduce a multimodal CNN-GNN bas…