Yash Garg

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Topics

Character Recognition

Scale Parameter

Top Venues

Proc. VLDB Endow.

J. Sens. Actuator Networks

Publications

Aman Mishra, Yash Garg, Om Jee Pandey, Mahendra Kumar Shukla, Athanasios V. Vasilakos, Rajesh M. Hegde
A Novel Resource Management Framework for Blockchain-Based Federated Learning in IoT Networks. IEEE Trans. Sustain. Comput. 9 (4) (2024)
Arindam Dutta, Rohit Lal, Yash Garg, Calvin-Khang Ta, Dripta S. Raychaudhuri, Hannah Dela Cruz, Amit K. Roy-Chowdhury
POSTURE: Pose Guided Unsupervised Domain Adaptation for Human Body Part Segmentation. CoRR (2024)
Rohit Lal, Yash Garg, Arindam Dutta, Calvin-Khang Ta, Dripta S. Raychaudhuri, M. Salman Asif, Amit K. Roy-Chowdhury
TEMP3D: Temporally Continuous 3D Human Pose Estimation Under Occlusions. CoRR (2023)
Yash Garg, Nebiyou Yismaw, Rakib Hyder, Ashley Prater-Bennette, M. Salman Asif
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning. CoRR (2023)
Haoxiang Zhang, Juliana Freire, Yash Garg
eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems. CoRR (2023)
Md Abdur Rahaman, Yash Garg, Armin Iraji, Zening Fu, Jiayu Chen, Vince D. Calhoun
Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. MLSP (2022)
Shruti Patil, Varadarajan Vijayakumar, Supriya V. Mahadevkar, Rohan Athawade, Lakhan Maheshwari, Shrushti Kumbhare, Yash Garg, Deepak Dharrao, Pooja Kamat, Ketan Kotecha
Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation. J. Sens. Actuator Networks 11 (4) (2022)
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
DataStorm: Coupled, Continuous Simulations for Complex Urban Environments. Trans. Data Sci. 2 (3) (2021)
Manoj Tiwaskar, Yash Garg, Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino
Selego: robust variate selection for accurate time series forecasting. Data Min. Knowl. Discov. 35 (5) (2021)
Yash Garg
ReTriM: Reconstructive Triplet Loss for Learning Reduced Embeddings for Multi-Variate Time Series. ICDM (Workshops) (2021)
Yash Garg, K. Selçuk Candan
XM2A: Multi-Scale Multi-Head Attention with Cross-Talk for Multi-Variate Time Series Analysis. MIPR (2021)
Yash Garg, K. Selçuk Candan
iSparse: Output Informed Sparsification of Neural Network. ICMR (2020)
Yash Garg, K. Selçuk Candan, Maria Luisa Sapino
SAN : Scale-Space Attention Networks. ICDE (2020)
Yash Garg, K. Selçuk Candan
SDMA: Saliency-Driven Mutual Cross Attention for Multi-Variate Time Series. ICPR (2020)
Yash Garg, K. Selçuk Candan
RACKNet: Robust Allocation of Convolutional Kernels in Neural Networks for Image Classification. ICMR (2019)
Hans Behrens, K. Selçuk Candan, Xilun Chen, Ashish Gadkari, Yash Garg, Mao-Lin Li
DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles. Proc. VLDB Endow. 11 (12) (2018)
Yash Garg, Silvestro Roberto Poccia
On the Effectiveness of Distance Measures for Similarity Search in Multi-Variate Sensory Data: Effectiveness of Distance Measures for Similarity Search. ICMR (2017)
Silvestro Roberto Poccia, Maria Luisa Sapino, Sicong Liu, Xilun Chen, Yash Garg, Shengyu Huang, Jung Hyun Kim, Xinsheng Li, Parth Nagarkar, K. Selçuk Candan
SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles. EDBT (2017)
Sicong Liu, Yash Garg, K. Selçuk Candan, Maria Luisa Sapino, Gerardo Chowell-Puente
NOTES2: Networks-of-Traces for Epidemic Spread Simulations. AAAI Workshop: Computational Sustainability (2015)