Yash Garg

According to our database, Yash Garg authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

TEMP3D: Temporally Continuous 3D Human Pose Estimation Under Occlusions.

Rohit Lal, Yash Garg, Arindam Dutta, Calvin-Khang Ta, Dripta S. Raychaudhuri, M. Salman Asif, Amit K. Roy-Chowdhury

CoRR, 2023

Factorized Tensor Networks for Multi-Task and Multi-Domain Learning.

Yash Garg, Nebiyou Yismaw, Rakib Hyder, Ashley Prater-Bennette, M. Salman Asif

CoRR, 2023

eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems.

Haoxiang Zhang, Juliana Freire, Yash Garg

CoRR, 2023

2022

Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation.

Shruti Patil, Varadarajan Vijayakumar, Supriya V. Mahadevkar, Rohan Athawade, Lakhan Maheshwari, Shrushti Kumbhare, Yash Garg, Deepak S. Dharrao, Pooja Kamat, Ketan Kotecha

J. Sens. Actuator Networks, 2022

Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data.

Md Abdur Rahaman, Yash Garg, Armin Iraji, Zening Fu, Jiayu Chen, Vince D. Calhoun

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021

DataStorm: Coupled, Continuous Simulations for Complex Urban Environments.

Hans Walter Behrens, K. Selçuk Candan, Xilun Chen, Yash Garg, Mao-Lin Li, Xinsheng Li, Sicong Liu, Maria Luisa Sapino, Md Shadab, Dalton Turner, Magesh Vijayakumaren

Trans. Data Sci., 2021

Selego: robust variate selection for accurate time series forecasting.

Manoj Tiwaskar, Yash Garg, Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino

Data Min. Knowl. Discov., 2021

XM2A: Multi-Scale Multi-Head Attention with Cross-Talk for Multi-Variate Time Series Analysis.

Yash Garg, K. Selçuk Candan

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.

Yash Garg

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

On Feature Saliency and Deep Neural Networks.

Yash Garg

PhD thesis, 2020

iSparse: Output Informed Sparsification of Neural Network.

Yash Garg, K. Selçuk Candan

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

SDMA: Saliency-Driven Mutual Cross Attention for Multi-Variate Time Series.

Yash Garg, K. Selçuk Candan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

SAN : Scale-Space Attention Networks.

Yash Garg, K. Selçuk Candan, Maria Luisa Sapino

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

RACKNet: Robust Allocation of Convolutional Kernels in Neural Networks for Image Classification.

Yash Garg, K. Selçuk Candan

Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

2018

DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles.

Hans Behrens, K. Selçuk Candan, Xilun Chen, Ashish Gadkari, Yash Garg, Mao-Lin Li

Proc. VLDB Endow., 2018

2017

On the Effectiveness of Distance Measures for Similarity Search in Multi-Variate Sensory Data: Effectiveness of Distance Measures for Similarity Search.

Yash Garg, Silvestro Roberto Poccia

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.

Silvestro Roberto Poccia, Maria Luisa Sapino, Sicong Liu, Xilun Chen, Yash Garg, Shengyu Huang, Jung Hyun Kim, Xinsheng Li, Parth Nagarkar, K. Selçuk Candan

Proceedings of the 20th International Conference on Extending Database Technology, 2017

2015

NOTES2: Networks-of-Traces for Epidemic Spread Simulations.

Sicong Liu, Yash Garg, K. Selçuk Candan, Maria Luisa Sapino, Gerardo Chowell-Puente

Proceedings of the Computational Sustainability, 2015