Search Results - "Biparva, Mahdi"

ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI by Boone, Lyndon, Biparva, Mahdi, Mojiri Forooshani, Parisa, Ramirez, Joel, Masellis, Mario, Bartha, Robert, Symons, Sean, Strother, Stephen, Black, Sandra E., Heyn, Chris, Martel, Anne L., Swartz, Richard H., Goubran, Maged

“…Deep artificial neural networks (DNNs) have moved to the forefront of medical image analysis due to their success in classification, segmentation, and…”
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Video Action Recognition for Lane-Change Classification and Prediction of Surrounding Vehicles by Biparva, Mahdi, Fernandez-Llorca, David, Gonzalo, Ruben Izquierdo, Tsotsos, John K.

“…In highway scenarios, an alert human driver will typically anticipate early cut-in/cut-out maneuvers of surrounding vehicles using visual cues mainly…”
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Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation by Mojiri Forooshani, Parisa, Biparva, Mahdi, Ntiri, Emmanuel E., Ramirez, Joel, Boone, Lyndon, Holmes, Melissa F., Adamo, Sabrina, Gao, Fuqiang, Ozzoude, Miracle, Scott, Christopher J. M., Dowlatshahi, Dar, Lawrence‐Dewar, Jane M., Kwan, Donna, Lang, Anthony E., Marcotte, Karine, Leonard, Carol, Rochon, Elizabeth, Heyn, Chris, Bartha, Robert, Strother, Stephen, Tardif, Jean‐Claude, Symons, Sean, Masellis, Mario, Swartz, Richard H., Moody, Alan, Black, Sandra E., Goubran, Maged

“…White matter hyperintensities (WMHs) are frequently observed on structural neuroimaging of elderly populations and are associated with cognitive decline and…”
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ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning by Naseri, Mahdi, Biparva, Mahdi

“…Self-supervised Learning (SSL) has emerged as a powerful technique in pre-training deep learning models without relying on expensive annotated labels, instead…”
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Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks by Biparva, Mahdi, Tsotsos, John

“…Feature disentanglement of the foreground target objects and the background surrounding context has not been yet fully accomplished. The lack of network…”
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STNet: Selective Tuning of Convolutional Networks for Object Localization by Biparva, Mahdi, Tsotsos, John

“…Visual attention modeling has recently gained momentum in developing visual hierarchies provided by Convolutional Neural Networks. Despite recent successes of…”
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Compact Neural Representation Using Attentive Network Pruning by Biparva, Mahdi, Tsotsos, John

“…Deep neural networks have evolved to become power demanding and consequently difficult to apply to small-size mobile platforms. Network parameter reduction…”
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Selective Segmentation Networks Using Top-Down Attention by Biparva, Mahdi, Tsotsos, John

“…Convolutional neural networks model the transformation of the input sensory data at the bottom of a network hierarchy to the semantic information at the top of…”
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WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization by Pasand, Ali Saheb, Moravej, Reza, Biparva, Mahdi, Ghodsi, Ali

“…A common phenomena confining the representation quality in Self-Supervised Learning (SSL) is dimensional collapse (also known as rank degeneration), where the…”
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Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization by Biparva, Mahdi, Karimi, Raika, Faez, Faezeh, Zhang, Yingxue

“…Temporal Graph Neural Networks have garnered substantial attention for their capacity to model evolving structural and temporal patterns while exhibiting…”
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Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers by Karimi, Raika, Faez, Faezeh, Zhang, Yingxue, Li, Xing, Chen, Lei, Yuan, Mingxuan, Biparva, Mahdi

“…Contemporary hardware design benefits from the abstraction provided by high-level logic gates, streamlining the implementation of logic circuits. Logic…”
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MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization by Faez, Faezeh, Karimi, Raika, Zhang, Yingxue, Li, Xing, Chen, Lei, Yuan, Mingxuan, Biparva, Mahdi

“…Electronic Design Automation (EDA) is essential for IC design and has recently benefited from AI-based techniques to improve efficiency. Logic synthesis, a key…”
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DyG2Vec: Efficient Representation Learning for Dynamic Graphs by Alomrani, Mohammad Ali, Biparva, Mahdi, Zhang, Yingxue, Coates, Mark

“…Temporal graph neural networks have shown promising results in learning inductive representations by automatically extracting temporal patterns. However,…”
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STNet: Selective Tuning of Convolutional Networks for Object Localization by Biparva, Mahdi, Tsotsos, John

“…Visual attention modeling has recently gained momentum in developing visual hierarchies provided by Convolutional Neural Networks. Despite recent successes of…”
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Scalable Graph Self-Supervised Learning by Pasand, Ali Saheb, Moravej, Reza, Biparva, Mahdi, Karimi, Raika, Ghodsi, Ali

“…In regularization Self-Supervised Learning (SSL) methods for graphs, computational complexity increases with the number of nodes in graphs and embedding…”
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Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles by Fernandez-Llorca, David, Biparva, Mahdi, Izquierdo-Gonzalo, Ruben, Tsotsos, John K.

“…In highway scenarios, an alert human driver will typically anticipate early cut-in and cut-out maneuvers of surrounding vehicles using only visual cues. An…”
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EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems by Dehghan, Mohammad, Alomrani, Mohammad Ali, Bagga, Sunyam, Alfonso-Hermelo, David, Bibi, Khalil, Ghaddar, Abbas, Zhang, Yingxue, Li, Xiaoguang, Hao, Jianye, Liu, Qun, Lin, Jimmy, Chen, Boxing, Parthasarathi, Prasanna, Biparva, Mahdi, Rezagholizadeh, Mehdi

“…The emerging citation-based QA systems are gaining more attention especially in generative AI search applications. The importance of extracted knowledge…”
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Priming Neural Networks by Rosenfeld, Amir, Biparva, Mahdi, Tsotsos, John K

“…Visual priming is known to affect the human visual system to allow detection of scene elements, even those that may have been near unnoticeable before, such as…”
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Video action recognition for lane-change classification and prediction of surrounding vehicles by Biparva, Mahdi, Fernández-Llorca, David, Izquierdo-Gonzalo, Rubén, Tsotsos, John K

“…In highway scenarios, an alert human driver will typically anticipate early cut-in/cut-out maneuvers of surrounding vehicles using visual cues mainly…”
Get full text

Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles by Fernández-Llorca, David, Biparva, Mahdi, Izquierdo-Gonzalo, Rubén, Tsotsos, John K

“…In highway scenarios, an alert human driver will typically anticipate early cut-in and cut-out maneuvers of surrounding vehicles using only visual cues. An…”
Get full text