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SINGH Inder Pal

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2

ORCID
0000-0002-4870-1426
Main Referenced Co-authors
AOUADA, Djamila  (8)
GHORBEL, Enjie  (5)
KACEM, Anis  (3)
OYEDOTUN, Oyebade  (3)
MEJRI, Nesryne  (2)
Main Referenced Keywords
Computer Vision (3); Deep Learning (3); Machine Learning (3); Multi-label Image Classification (3); Graph Convolutional Networks (2);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > CVI² - Computer Vision Imaging & Machine Intelligence (3)
SnT - Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg (2)
Main Referenced Disciplines
Computer science (8)
Engineering, computing & technology: Multidisciplinary, general & others (1)

Publications (total 9)

The most downloaded
412 downloads
SINGH, I. P., OYEDOTUN, O., GHORBEL, E., & AOUADA, D. (2022). IML-GCN: Improved Multi-Label Graph Convolutional Network for Efficient yet Precise Image Classification. AAAI-22 Workshop Program-Deep Learning on Graphs: Methods and Applications. https://hdl.handle.net/10993/49421

The most cited

9 citations (OpenAlex)

PAULY, L., Lynn Jamrozik, M., Ortiz Del Castillo, M., BORGUE, O., SINGH, I. P., MAKHDOOMI, M. R., CHRISTIDI-LOUMPASEFSKI, O.-O., GAUDILLIERE, V., MARTINEZ LUNA, C., RATHINAM, A., HEIN, A., OLIVARES MENDEZ, M. A., & AOUADA, D. (2023). Lessons from a Space Lab -- An Image Acquisition Perspective. International Journal of Aerospace Engineering, 2023, 1-16. doi:10.1155/2023/9944614 https://hdl.handle.net/10993/57094

SINGH, I. P., GHORBEL, E., OYEDOTUN, O., & AOUADA, D. (13 July 2024). Multi-label image classification using adaptive graph convolutional networks: From a single domain to multiple domains. Computer Vision and Image Understanding, 247, 104062. doi:10.1016/j.cviu.2024.104062
Peer Reviewed verified by ORBi

SINGH, I. P. (2024). TOWARDS COMPACT YET EFFECTIVE MULTI-LABEL IMAGE CLASSIFICATION: FROM A SINGLE DOMAIN TO MULTIPLE DOMAINS [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/61717

NGUYEN, V. D., MEJRI, N., SINGH, I. P., KULESHOVA, P., ASTRID, M., KACEM, A., GHORBEL, E., & AOUADA, D. (2024). LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection. In LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection (pp. 17395-17405). Seattle, WA, USA, Unknown/unspecified: The IEEE/CVF.
Editorial reviewed

SINGH, I. P., GHORBEL, E., KACEM, A., RATHINAM, A., & AOUADA, D. (2024). Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification. IEEE/CVF WACV.
Peer reviewed

SINGH, I. P., MEJRI, N., NGUYEN, V. D., Ghorbel, E., & AOUADA, D. (2023). Multi-label Deepfake Classification. IEEE Workshop on Multimedia Signal Processing. doi:10.1109/MMSP59012.2023.10337658
Peer reviewed

DUPONT, E., SINGH, I. P., Fuentes, L., ALI, S. A., KACEM, A., GHORBEL, E., & AOUADA, D. (2023). You Can Dance! Generating Music-Conditioned Dances on Real 3D Scans. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023, Volume 4: VISAPP. doi:10.5220/0011790900003417
Peer reviewed

PAULY, L., Lynn Jamrozik, M., Ortiz Del Castillo, M., BORGUE, O., SINGH, I. P., MAKHDOOMI, M. R., CHRISTIDI-LOUMPASEFSKI, O.-O., GAUDILLIERE, V., MARTINEZ LUNA, C., RATHINAM, A., HEIN, A., OLIVARES MENDEZ, M. A., & AOUADA, D. (2023). Lessons from a Space Lab -- An Image Acquisition Perspective. International Journal of Aerospace Engineering, 2023, 1-16. doi:10.1155/2023/9944614
Peer Reviewed verified by ORBi

SINGH, I. P., OYEDOTUN, O., GHORBEL, E., & AOUADA, D. (2022). IML-GCN: Improved Multi-Label Graph Convolutional Network for Efficient yet Precise Image Classification. AAAI-22 Workshop Program-Deep Learning on Graphs: Methods and Applications.
Peer reviewed

SINGH, I. P., GHORBEL, E., OYEDOTUN, O., & AOUADA, D. (2022). MULTI LABEL IMAGE CLASSIFICATION USING ADAPTIVE GRAPH CONVOLUTIONAL NETWORKS (ML-AGCN). IEEE International Conference on Image Processing.
Peer reviewed

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