STRIDE: Single-Video Based Temporally Continuous Occlusion-Robust 3D Pose Estimation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
A Novel Resource Management Framework for Blockchain-Based Federated Learning in IoT Networks.
IEEE Trans. Sustain. Comput., 2024
POSTURE: Pose Guided Unsupervised Domain Adaptation for Human Body Part Segmentation.
CoRR, 2024
TEMP3D: Temporally Continuous 3D Human Pose Estimation Under Occlusions.
CoRR, 2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning.
CoRR, 2023
eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems.
CoRR, 2023
Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation.
J. Sens. Actuator Networks, 2022
Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022
DataStorm: Coupled, Continuous Simulations for Complex Urban Environments.
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Trans. Data Sci., 2021
Selego: robust variate selection for accurate time series forecasting.
Data Min. Knowl. Discov., 2021
XM2A: Multi-Scale Multi-Head Attention with Cross-Talk for Multi-Variate Time Series Analysis.
Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval, 2021
ReTriM: Reconstructive Triplet Loss for Learning Reduced Embeddings for Multi-Variate Time Series.
Proceedings of the 2021 International Conference on Data Mining, 2021
On Feature Saliency and Deep Neural Networks.
PhD thesis, 2020
iSparse: Output Informed Sparsification of Neural Network.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020
SDMA: Saliency-Driven Mutual Cross Attention for Multi-Variate Time Series.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
SAN : Scale-Space Attention Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
RACKNet: Robust Allocation of Convolutional Kernels in Neural Networks for Image Classification.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019
DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles.
Proc. VLDB Endow., 2018
On the Effectiveness of Distance Measures for Similarity Search in Multi-Variate Sensory Data: Effectiveness of Distance Measures for Similarity Search.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017
SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles.
Proceedings of the 20th International Conference on Extending Database Technology, 2017
NOTES2: Networks-of-Traces for Epidemic Spread Simulations.
Proceedings of the Computational Sustainability, 2015