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ORCIDGita Alaghband
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2020 – today
- 2024
[j15]Iris Linck
, Arthur Tórgo Gómez, Gita Alaghband:
SVG-CNN: A shallow CNN based on VGGNet applied to intra prediction partition block in HEVC. Multim. Tools Appl. 83(30): 73983-74001 (2024)- 2023
- [c25]Iris Linck, Arthur Tórgo Gómez, Gita Alaghband:
CNN Quadtree Depth Decision Prediction for Block Partitioning in HEVC Intra-Mode. DCC 2023: 352 - [c24]Henok Ghebrechristos, Stence Nicholas, David Mirsky, Manh Huynh, Zackary Kromer, Ligia Batista, Gita Alaghband, Brent O'Neill, Steven Moulton, Daniel M. Lindberg:
Deep Learning Mixture-of-Experts for Cytotoxic Edema Assessment in Infants and Children. ISBI 2023: 1-5 - [c23]Manh Huynh, Gita Alaghband:
Multi-Modal Sensor Framework with Learnable Uncertainty Estimator for Pedestrian Trajectory Prediction. ITSC 2023: 582-589 - [c22]Manh Huynh, Gita Alaghband:
Online Adaptive Temporal Memory with Certainty Estimation for Human Trajectory Prediction. WACV 2023: 940-949 - 2022
- [i9]Henok Ghebrechristos, Stence Nicholas, David Mirsky, Gita Alaghband, Manh Huynh, Zackary Kromer, Ligia Batista, Brent O'Neill, Steven Moulton, Daniel M. Lindberg:
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children. CoRR abs/2210.04767 (2022) - 2021
- [c21]Manh Huynh, Gita Alaghband:
GPRAR: Graph Convolutional Network based Pose Reconstruction and Action Recognition for Human Trajectory Prediction. BMVC 2021: 401 - [i8]Manh Huynh, Gita Alaghband:
GPRAR: Graph Convolutional Network based Pose Reconstruction and Action Recognition for Human Trajectory Prediction. CoRR abs/2103.14113 (2021) - 2020
- [j14]Henok Ghebrechristos, Gita Alaghband:
Deep curriculum learning optimization. SN Comput. Sci. 1(5): 245 (2020) - [c20]Manh Huynh, Gita Alaghband:
AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes. BMVC 2020 - [c19]Nao Takano, Gita Alaghband:
Generator from Edges: Reconstruction of Facial Images. ISVC (2) 2020: 430-443 - [i7]Manh Huynh, Gita Alaghband:
AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes. CoRR abs/2002.06666 (2020) - [i6]Nao Takano, Gita Alaghband:
Generator From Edges: Reconstruction of Facial Images. CoRR abs/2002.06682 (2020) - [i5]Thoria Alghamdi, Gita Alaghband:
High Performance Parallel Sort for Shared and Distributed Memory MIMD. CoRR abs/2003.01216 (2020)
2010 – 2019
- 2019
- [c18]Henok Ghebrechristos, Gita Alaghband:
Information Theory-Based Curriculum Learning Factory to Optimize Training. ACPR (1) 2019: 409-423 - [c17]Henok Ghebrechristos, Gita Alaghband:
Optimizing Training using Information Theory-Based Curriculum Learning Factory. ICTAI 2019: 1525-1530 - [c16]Manh Huynh, Gita Alaghband:
Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM. ISVC (1) 2019: 244-259 - [i4]Nao Takano, Gita Alaghband:
SRGAN: Training Dataset Matters. CoRR abs/1903.09922 (2019) - [i3]Manh Huynh, Gita Alaghband:
Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM. CoRR abs/1908.08908 (2019) - 2018
- [c15]Huynh Manh, Gita Alaghband:
Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking. CRV 2018: 150-157 - [c14]Iris Linck, Arthur Tórgo Gómez, Gita Alaghband:
Test Zonal Search Based on Region Label (TZSR) for Motion Estimation in HEVC. MMSP 2018: 1-6 - [i2]Huynh Manh, Gita Alaghband:
Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking. CoRR abs/1807.02143 (2018) - [i1]Huynh Manh, Gita Alaghband:
Scene-LSTM: A Model for Human Trajectory Prediction. CoRR abs/1808.04018 (2018) - 2017
- [c13]Trevor M. Simonton, Gita Alaghband:
Efficient and accurate Word2Vec implementations in GPU and shared-memory multicore architectures. HPEC 2017: 1-7 - 2015
- [j13]Lan Vu, Gita Alaghband:
Efficient Algorithms for Mining Frequent Patterns from Sparse and Dense Databases. J. Intell. Syst. 24(2): 181-197 (2015) - [c12]Lan Vu, Gita Alaghband:
A load balancing parallel method for frequent pattern mining on multi-core cluster. SpringSim (HPS) 2015: 49-58 - [c11]Lan Vu, Gita Alaghband:
A self-adaptive method for frequent pattern mining using a CPU-GPU hybrid model. SpringSim (HPS) 2015: 192-201 - 2014
- [j12]Lan Vu, Gita Alaghband:
Novel parallel method for association rule mining on multi-core shared memory systems. Parallel Comput. 40(10): 768-785 (2014) - 2013
- [c10]Lan Vu, Gita Alaghband:
Novel parallel method for mining frequent patterns on multi-core shared memory systems. DISCS@SC 2013: 49-54 - 2012
- [j11]Stefan P. Muszala, Gita Alaghband, James J. Hack, Daniel A. Connors:
Natural Load Indices (NLI) for scientific simulation. J. Supercomput. 59(1): 392-413 (2012) - [c9]Lan Vu, Gita Alaghband:
High performance frequent pattern mining on multi-core cluster. CTS 2012: 630-633 - [c8]David Gnabasik, Gita Alaghband:
Topological analysis of proteomic data. CTS 2012: 634-635 - 2011
- [j10]Gita Alaghband:
Relationship model: a network model for integrating human expertise with systematic distributed processes. J. Softw. Maintenance Res. Pract. 23(2): 109-135 (2011)
2000 – 2009
- 2008
- [j9]Franklin E. Powers Jr., Gita Alaghband:
The Hydra Parallel Programming System. Concurr. Comput. Pract. Exp. 20(1): 1-27 (2008) - [p1]Gita Alaghband:
Parallel Architectures. Wiley Encyclopedia of Computer Science and Engineering 2008 - 2007
- [j8]Gita Alaghband, David Gnabasik:
Dynamic Distribution of Java Applications. Informatica (Slovenia) 31(3): 325-335 (2007) - 2006
- [c7]Franklin E. Powers Jr., Gita Alaghband:
Introducing the hydra parallel programming system. SPAA 2006: 116 - 2004
- [c6]Stefan P. Muszala, Gita Alaghband, Daniel A. Connors, James J. Hack:
A VFSA Scheduler for Radiative Transfer Data in Climate Models. PDCS 2004: 64-71 - [c5]Gita Alaghband, David Gnabasik:
Streaming Java Applications to Mobile Computing Devices. International Conference on Wireless Networks 2004: 637-643
1990 – 1999
- 1997
- [j7]Bernardo Rodriguez, Harry F. Jordan, Gita Alaghband:
A Metric for the Temporal Characterization of Parallel Programs. J. Parallel Distributed Comput. 46(2): 113-124 (1997) - 1996
- [j6]Gita Alaghband, Melodi Mosley Gates:
Utilizing Parallel Processing: a Decision Support System for Service Delivery Scheduling. Parallel Algorithms Appl. 10(1-2): 1-20 (1996) - [c4]Bernardo Rodriguez, Harry F. Jordan, Gita Alaghband:
Temporal Characterization of Demands for Data Movement on Parallel Programs. IPPS 1996: 776-779 - 1995
- [j5]Gita Alaghband:
Parallel Sparse Matrix Solution and Performance. Parallel Comput. 21(9): 1407-1430 (1995) - 1994
- [j4]Gita Alaghband, Harry F. Jordan:
Overview of the Force Scientific Parallel Language. Sci. Program. 3(1): 33-47 (1994) - 1993
- [j3]Gita Alaghband, Muhammad S. Benten, Rüdiger Jakob, Harry F. Jordan, Aruna V. Ramanan:
Language Portability Across Shared Memory Multiprocessors. IEEE Trans. Parallel Distributed Syst. 4(9): 1064-1072 (1993) - [c3]Gita Alaghband, Bernardo Rodriguez, Harry F. Jordan:
Mathematical Models for Parallel Loops. PPSC 1993: 992-995 - 1991
- [c2]Gita Alaghband:
Solution of Structurally Identical Sparse Linear System Based on a Parallel Pivoting Technique. PP 1991: 41-51
1980 – 1989
- 1989
- [j2]Gita Alaghband:
Parallel pivoting combined with parallel reduction and fill-in control. Parallel Comput. 11(2): 201-221 (1989) - [j1]Gita Alaghband, Harry F. Jordan:
Sparse Gaussian Elimination with Controlled Fill-in on a Shared Memory Multiprocessor. IEEE Trans. Computers 38(11): 1539-1557 (1989) - [c1]Harry F. Jordan, Muhammad S. Benten, Gita Alaghband, Rüdiger Jakob:
The Force: A Highly Portable Parallel Programming Language. ICPP (2) 1989: 112-117
Coauthor Index
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