77 citations · 127 across the 6 of their papers we have counts for
8 papers
Controlled Face Manipulation and Synthesis for Data Augmentation
Joris Kirchner, Amogh Gudi, Marian Bittner +1
Deep learning vision models excel with abundant supervision, but many applications face label scarcity and class imbalance. Controllable image editing can augment scarce labeled da…
Proximally Sensitive Error for Anomaly Detection and Feature Learning
Amogh Gudi, Fritjof Büttner, Jan van Gemert
Mean squared error (MSE) is one of the most widely used metrics to expression differences between multi-dimensional entities, including images. However, MSE is not locally sensitiv…
Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation
Amogh Gudi, Marian Bittner, Jan van Gemert
Remote photo-plethysmography (rPPG) uses a camera to estimate a person's heart rate (HR). Similar to how heart rate can provide useful information about a person's vital signs, ins…
Efficiency in Real-time Webcam Gaze Tracking
Amogh Gudi, Xin Li, Jan van Gemert
Efficiency and ease of use are essential for practical applications of camera based eye/gaze-tracking. Gaze tracking involves estimating where a person is looking on a screen based…
Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability
Amogh Gudi, Marian Bittner, Roelof Lochmans +1
Remote photo-plethysmography (rPPG) uses a remotely placed camera to estimating a person's heart rate (HR). Similar to how heart rate can provide useful information about a person'…
Object-Extent Pooling for Weakly Supervised Single-Shot Localization
Amogh Gudi, Nicolai van Rosmalen, Marco Loog +1
In the face of scarcity in detailed training annotations, the ability to perform object localization tasks in real-time with weak-supervision is very valuable. However, the computa…
Human Pose Estimation in Space and Time using 3D CNN
Agne Grinciunaite, Amogh Gudi, Emrah Tasli +1
This paper explores the capabilities of convolutional neural networks to deal with a task that is easily manageable for humans: perceiving 3D pose of a human body from varying angl…
Recognizing Semantic Features in Faces using Deep Learning
Amogh Gudi
The human face constantly conveys information, both consciously and subconsciously. However, as basic as it is for humans to visually interpret this information, it is quite a big…