DLRG schedule for spring semester 2024
(GoogleMeet link: https://meet.google.com/wah-nwrt-pqv)
1) Sunday (Mar 3, 2024) presented by Roua’ and Sara, “ HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation”. doi: https://arxiv.org/abs/2305.13031
2) Sunday (Mar 17, 2024) presented by Israa, “ SmallCap: Lightweight Image Captioning Prompted with Retrieval Augmentation”. doi: https://arxiv.org/abs/2209.15323
3) Sunday (Mar 31, 2024) presented by Fatima, “ IC-GAN: An Improved Conditional Generative Adversarial Network for RGB-to-IR image translation with applications to forest fire monitoring”. doi: 10.1016/j.eswa.2023.121962
4) Sunday (Apr 14, 2024) presented by Ahmad and Rahmeh, “Artificial Intelligence and Machine Learning in Clinical Medicine, 2023”. doi: 10.1056/NEJMra2302038
5) Sunday (Apr 28, 2024) presented by Abdel Rahman, “Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models”. doi: https://arxiv.org/pdf/2305.15023
6) Sunday (May 12, 2024) presented by Alaa, “ISTVT: Interpretable Spatial-Temporal Video Transformer for Deepfake Detection”. doi: 10.1109/TIFS.2023.3239223
(GoogleMeet link: https://meet.google.com/wah-nwrt-pqv)1) Sunday (Nov 5, 2023) presented by Abdel Rahman, “Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering”. doi: https://arxiv.org/pdf/2303.01903.pdf
2)Sunday (Nov 19, 2023) presented by Fatima, “ARU-GAN: U-shaped GAN based on Attention and Residual connection for super-resolution reconstruction”. doi: 10.1016/j.compbiomed.2023.107316
3) Sunday (Dec 3, 2023) presented by Israa, “Improved Arabic image captioning model using feature concatenation with pre-trained word embedding ”. doi: 10.1007/s00521-023-08744-1
4) Sunday (Dec 17, 2023) presented by Roua’ and Sara, “Stochastic Segmentation with Conditional Categorical Diffusion Models ”. doi: https://arxiv.org/pdf/2303.08888.pdf
5) Sunday (Dec 31, 2023) presented by Ala, “ResNet-Swish-Dense54: a deep learning approach for deepfakes detection”. doi: 10.1007/s00371-022-02732-7
DLRG schedule for summer semester
(GoogleMeet link: https://meet.google.com/wah-nwrt-pqv)
1) Sunday (Jul 23, 2023) presented by Fatima, “ LAC-GAN: Lesion attention conditional GAN for Ultra-widefield image synthesis ”. doi.org/10.1016/j.neunet.2022.11.005
2) Sunday (Jul 30, 2023) presented by Abdel Rahman, “ NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs”. https://arxiv.org/pdf/2304.05866.pdf
3) Sunday (Aug 6, 2023) presented by Israa, “ Image-Text Embedding Learning via Visual and Textual Semantic Reasoning”. doi: 10.1109/TPAMI.2022.3148470
4) Sunday (Aug 13, 2023) presented by Roua’ and Sara, “ Segmentation ability map: Interpret deep features for medical image segmentation”. doi.org/10.1016/j.media.2022.102726
5) Sunday (Aug 20, 2023) presented by Bara’a, “ SECS: An Effective CNN Joint Construction Strategy for Breast Cancer Histopathological Image Classification”. doi.org/10.1016/j.jksuci.2023.01.017
Schedule for Spring semester
(GoogleMeet link: https://meet.google.com/wah-nwrt-pqv)
1) Sunday (Mar 12, 2023) presented by Israa, “Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering”. doi.org/10.1016/j.eswa.2022.118669
2) Sunday (Mar 26, 2023) presented by Ala, “Towards Personalized Federated Learning”. doi.org/10.1109/TNNLS.2022.3160699
3) Sunday (Apr 9, 2023) presented by Fatima : “TCGAN: a transformer-enhanced GAN for PET synthetic CT”. doi: https://doi.org/10.1364/BOE.467683
4) Sunday (Apr 30, 2023) presented by Roua’ and Sara, “A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images”. doi.org/10.1016/j.artmed.2021.102180
5) Sunday (May 7, 2023) presented by Abdel Rahman, “ViXNet: Vision Transformer with Xception Network for deepfakes based video and image forgery detection. doi.org/10.1016/j.eswa.2022.118423.
6) Sunday (May 21, 2023) presented by Bara’a, “Federated Fusion of Magnified Histopathological Images for Breast Tumor Classification in the Internet of Medical Things”. doing.org/10.1109/JBHI.2023.3256974