Search Results for author:
Found 13 papers, 10 papers with code
EFE: End-to-end Frame-to-Gaze Estimation
In this paper, we propose a frame-to-gaze network that directly predicts both 3D gaze origin and 3D gaze direction from the raw frame out of the camera without any face or eye cropping.
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology
Cell detection is a fundamental task in computational pathology that can be used for extracting high-level medical information from whole-slide images.
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
To address this need, we execute the largest-scale study of SSL pre-training on pathology image data, to date.
Interactive Multi-Class Tiny-Object Detection
We perform experiments on the Tiny-DOTA and LCell datasets using both two-stage and one-stage object detection architectures to verify the efficacy of our approach.
Weakly-Supervised Physically Unconstrained Gaze Estimation
A major challenge for physically unconstrained gaze estimation is acquiring training data with 3D gaze annotations for in-the-wild and outdoor scenarios.
Ranked #3 on
Gaze Estimation
on Gaze360
Self-Learning Transformations for Improving Gaze and Head Redirection
Furthermore, we show that in the presence of limited amounts of real-world training data, our method allows for improvements in the downstream task of semi-supervised cross-dataset gaze estimation.
ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation
We show that our dataset can significantly improve the robustness of gaze estimation methods across different head poses and gaze angles.
Ranked #1 on
Gaze Estimation
on ETH-XGaze
(using extra training data)
Towards End-to-end Video-based Eye-Tracking
Estimating eye-gaze from images alone is a challenging task, in large parts due to un-observable person-specific factors.
Content-Consistent Generation of Realistic Eyes with Style
Accurately labeled real-world training data can be scarce, and hence recent works adapt, modify or generate images to boost target datasets.
Few-Shot Adaptive Gaze Estimation
Inter-personal anatomical differences limit the accuracy of person-independent gaze estimation networks.
Ranked #1 on
Gaze Estimation
on MPII Gaze
(using extra training data)
Deep Pictorial Gaze Estimation
In this paper, we introduce a novel deep neural network architecture specifically designed for the task of gaze estimation from single eye input.
Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings
Conventional feature-based and model-based gaze estimation methods have proven to perform well in settings with controlled illumination and specialized cameras.
Cross-modal Deep Variational Hand Pose Estimation
Furthermore, we show that our proposed method can be used without changes on depth images and performs comparably to specialized methods.
