Vasileios Belagiannis

发表

A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping

K. Dietmayer, M. Schreiber, Vasileios Belagiannis, 2022, ArXiv.

NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification

G. Carneiro, Chongjian Wang, Vasileios Belagiannis, 2021, 2103.04053.

Supplementary for Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

G. Carneiro, Vasileios Belagiannis, Fengbei Liu, 2022 .

LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment

I. Reid, G. Carneiro, F. Cordeiro, 2021, Pattern Recognit..

NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification

G. Carneiro, Chongjian Wang, Vasileios Belagiannis, 2021, MICCAI.

Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation

G. Carneiro, Youssef Dawoud, Vasileios Belagiannis, 2022, MOVI@MICCAI.

Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs

Mohsen Ghafoorian, P. Mettes, Vasileios Belagiannis, 2022, BMVC.

ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning

I. Reid, G. Carneiro, F. Cordeiro, 2021, Pattern Recognit..

Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation

I. Reid, G. Carneiro, Guansong Pang, 2022, ArXiv.

Knowing What to Label for Few Shot Microscopy Image Cell Segmentation

G. Carneiro, Youssef Dawoud, Vasileios Belagiannis, 2022, 2211.10244.

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

G. Carneiro, Vasileios Belagiannis, Fengbei Liu, 2021, Computer Vision and Pattern Recognition.

A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories

U. Kressel, K. Dietmayer, Vasileios Belagiannis, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction

K. Dietmayer, Julian Jordan, Vasileios Belagiannis, 2023, 2304.05856.

Heatmap-based Out-of-Distribution Detection

Vasileios Belagiannis, Julia Hornauer, 2022, IEEE Workshop/Winter Conference on Applications of Computer Vision.

ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification

G. Carneiro, Vasileios Belagiannis, Fengbei Liu, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels pdf

Gustavo Carneiro, Filipe R. Cordeiro, Ian Reid, 2021, BMVC.

Translation Consistent Semi-supervised Segmentation for 3D Medical Images

G. Carneiro, Chongjian Wang, Vasileios Belagiannis, 2022, ArXiv.

Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction

U. Kressel, K. Dietmayer, Vasileios Belagiannis, 2023, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation

I. Reid, G. Carneiro, Guansong Pang, 2022, ArXiv.

Data-Free Backbone Fine-Tuning for Pruned Neural Networks

K. Dietmayer, Adrian Holzbock, Vasileios Belagiannis, 2023, 2306.12881.

SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation

G. Carneiro, Youssef Dawoud, Vasileios Belagiannis, 2023, 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation

I. Reid, G. Carneiro, Guansong Pang, 2022, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Heatmap-based Out-of-Distribution Detection

Vasileios Belagiannis, Julia Hornauer, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Noisy Label Learning for Large-scale Medical Image Classification

I. Reid, G. Carneiro, F. Cordeiro, 2021, ArXiv.

Multi-conditioned Graph Diffusion for Neural Architecture Search

Youssef Dawoud, Vasileios Belagiannis, Rohan Asthana, 2024, ArXiv.

Deep Learning versus High-order Recurrent Neural Network based Decoding for Convolutional Codes

W. Teich, Vasileios Belagiannis, Ruiqi Liu, 2020, GLOBECOM 2020 - 2020 IEEE Global Communications Conference.