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Found 10 papers, 4 papers with code
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images
Recognition of individual components and keypoint detection supported by instance segmentation is crucial to analyze the behavior of agents on the scene.
Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings
Automatic personality trait assessment is essential for high-quality human-machine interactions.
Perceived personality state estimation in dyadic and small group interaction with deep learning methods
Using this model we analyse the estimated perceived personality traits of individuals performing tasks in small groups and dyads.
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness
While deep neural networks are sensitive to adversarial noise, sparse coding using the Basis Pursuit (BP) method is robust against such attacks, including its multi-layer extensions.
Fast Interactive Video Object Segmentation with Graph Neural Networks
Interactive video object segmentation aims to utilize automatic methods to speed up the process and reduce the workload of the annotators.
Ranked #5 on
Interactive Video Object Segmentation
on DAVIS 2017
Minimizing false negative rate in melanoma detection and providing insight into the causes of classification
Our goal is to bridge human and machine intelligence in melanoma detection.
Absolute Human Pose Estimation with Depth Prediction Network
Unlike previous methods, our network works in a single step without any post-processing.
Ranked #1 on
3D Multi-Person Pose Estimation (absolute)
on MuPoTS-3D
(MPJPE metric)
3D Human Pose Estimation with Siamese Equivariant Embedding
In monocular 3D human pose estimation a common setup is to first detect 2D positions and then lift the detection into 3D coordinates.
Ranked #250 on
3D Human Pose Estimation
on Human3.6M
Fine-tuning deep CNN models on specific MS COCO categories
Fine-tuning of a deep convolutional neural network (CNN) is often desired.
