Sajed, D.P.
Standard Author Listing
with: Arnold, C.W.: PathAL: An Active Learning Framework for Histopathology ...
with: Li, J.Y.: PathAL: An Active Learning Framework for Histopathology Imag...
with: Li, W.Y.: PathAL: An Active Learning Framework for Histopathology Imag...
with: Polson, J.: PathAL: An Active Learning Framework for Histopathology Im...
with: Sisk, A.E.: PathAL: An Active Learning Framework for Histopathology Im...
with: Speier, W.: PathAL: An Active Learning Framework for Histopathology Im...
with: Wang, Z.C.: PathAL: An Active Learning Framework for Histopathology Im...
7 for Sajed, D.P.
Sajedi, A.
Standard Author Listing
with: Amjadian, E.: Data-to-model Distillation: Data-efficient Learning Fram...
with: Amjadian, E.: DataDAM: Efficient Dataset Distillation with Attention M...
with: Cheng, Z.Q.: Emphasizing Discriminative Features for Dataset Distillat...
with: Hauptmann, A.: Emphasizing Discriminative Features for Dataset Distill...
with: Khaki, S.: ATOM: Attention Mixer for Efficient Dataset Distillation
with: Khaki, S.: Data-to-model Distillation: Data-efficient Learning Framework
with: Khaki, S.: DataDAM: Efficient Dataset Distillation with Attention Matc...
with: Khaki, S.: Emphasizing Discriminative Features for Dataset Distillatio...
with: Lawryshyn, Y.A.: ATOM: Attention Mixer for Efficient Dataset Distillat...
with: Lawryshyn, Y.A.: Data-to-model Distillation: Data-efficient Learning F...
with: Lawryshyn, Y.A.: DataDAM: Efficient Dataset Distillation with Attentio...
with: Li, Z.: Emphasizing Discriminative Features for Dataset Distillation i...
with: Liu, L.Z.: ATOM: Attention Mixer for Efficient Dataset Distillation
with: Liu, L.Z.: Data-to-model Distillation: Data-efficient Learning Framework
with: Liu, L.Z.: DataDAM: Efficient Dataset Distillation with Attention Matc...
with: Plataniotis, K.N.: ATOM: Attention Mixer for Efficient Dataset Distill...
with: Plataniotis, K.N.: Data-to-model Distillation: Data-efficient Learning...
with: Plataniotis, K.N.: DataDAM: Efficient Dataset Distillation with Attent...
with: Plataniotis, K.N.: Emphasizing Discriminative Features for Dataset Dis...
with: Plataniotis, K.N.: FedPnP: Personalized graph-structured federated lea...
with: Rasti Meymandi, A.: FedPnP: Personalized graph-structured federated le...
with: Vedantam, R.: Emphasizing Discriminative Features for Dataset Distilla...
with: Wang, K.: ATOM: Attention Mixer for Efficient Dataset Distillation
with: Wang, K.: Emphasizing Discriminative Features for Dataset Distillation...
with: You, Y.: Emphasizing Discriminative Features for Dataset Distillation ...
25 for Sajedi, A.
Sajedi, H.
Standard Author Listing
with: Amini, M.: Detection of Cortical Demantia in MRI Images Using Convolut...
with: Dadjouy, S.: Gallbladder cancer detection via ultrasound image analysi...
with: Ebrahim Shiri, M.: Integration of colour and uniform interlaced deriva...
with: Fatemeh Razavi, S.: Integration of colour and uniform interlaced deriv...
with: Ghatee, M.: Convolution neural network joint with mixture of extreme l...
with: Mahmoodi, T.: Detection of Cortical Demantia in MRI Images Using Convo...
with: Mirzaea, S.: Detection of Cortical Demantia in MRI Images Using Convol...
with: Mohammadi, F.G.: Region based Image Steganalysis using Artificial Bee ...
with: Pashaei, A.: Convolution neural network joint with mixture of extreme ...
9 for Sajedi, H.
Sajeeda, A.
Standard Author Listing
with: Hossain, M.I.: Are Exemplar-Based Class Incremental Learning Models Vi...
with: Perla, N.K.: Are Exemplar-Based Class Incremental Learning Models Vict...
with: Shao, M.: Are Exemplar-Based Class Incremental Learning Models Victim ...
Sajeev, S.
Standard Author Listing
with: Bajger, M.: Segmentation of Breast Masses in Local Dense Background Us...
with: Bajger, M.: Structured Micro-Pattern Based LBP Features for Classifica...
with: Bajger, M.: Superpixel texture analysis for classification of breast m...
with: Boddeti, V.N.: ProTéGé: Untrimmed Pretraining for Video Temporal Groun...
with: Chen, M.: PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temp...
with: Chen, M.: ProTéGé: Untrimmed Pretraining for Video Temporal Grounding ...
with: Chen, M.: Rethinking Multimodal Content Moderation from an Asymmetric ...
with: Hall, M.: PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temp...
with: Hall, M.: ProTéGé: Untrimmed Pretraining for Video Temporal Grounding ...
with: Hall, M.: Rethinking Multimodal Content Moderation from an Asymmetric ...
with: Lee, G.: Segmentation of Breast Masses in Local Dense Background Using...
with: Lee, G.: Structured Micro-Pattern Based LBP Features for Classificatio...
with: Lee, G.: Superpixel texture analysis for classification of breast mass...
with: Mittal, G.: PivoTAL: Prior-Driven Supervision for Weakly-Supervised Te...
with: Mittal, G.: ProTéGé: Untrimmed Pretraining for Video Temporal Groundin...
with: Mittal, G.: Rethinking Multimodal Content Moderation from an Asymmetri...
with: Rizve, M.N.: PivoTAL: Prior-Driven Supervision for Weakly-Supervised T...
with: Shah, M.: PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temp...
with: Wang, L.: ProTéGé: Untrimmed Pretraining for Video Temporal Grounding ...
with: Yu, Y.: PivoTAL: Prior-Driven Supervision for Weakly-Supervised Tempor...
with: Yu, Y.: ProTéGé: Untrimmed Pretraining for Video Temporal Grounding by...
with: Yu, Y.: Rethinking Multimodal Content Moderation from an Asymmetric An...
with: Yuan, J.L.: Rethinking Multimodal Content Moderation from an Asymmetri...
23 for Sajeev, S.