Yash Garg - RankMe

23 papers A* 1A 1B 5Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Applications of augmented reality in cardiology till 2024: a comprehensive review of innovations and clinical impacts. Frontiers Virtual Real. Ibthisam Ismail Sharieff, Diviya Bharathi Ravikumar, Shashvat Joshi, Barath Prashanth Sivasubramanian, Rajat Gupta, Yash Garg, Umabalan Thirupathy, Ragavendar Saravanabavanandan, Siva Naga Yarrarapu, Vikramaditya R. Samala Venkata
2025	A	`conf`	STRIDE: Single-Video Based Temporally Continuous Occlusion-Robust 3D Pose Estimation. WACV Rohit Lal, Saketh Bachu, Yash Garg, Arindam Dutta, Calvin-Khang Ta, Hannah Dela Cruz, Dripta S. Raychaudhuri, M. Salman Asif, Amit K. Roy-Chowdhury
2025	J	`jnl`	VOccl3D: A Video Benchmark Dataset for 3D Human Pose and Shape Estimation under real Occlusions. CoRR Yash Garg, Saketh Bachu, Arindam Dutta, Rohit Lal, Sarosij Bose, Calvin-Khang Ta, M. Salman Asif, Amit K. Roy-Chowdhury
2024	J	`jnl`	A Novel Resource Management Framework for Blockchain-Based Federated Learning in IoT Networks. IEEE Trans. Sustain. Comput. Aman Mishra, Yash Garg, Om Jee Pandey, Mahendra Kumar Shukla, Athanasios V. Vasilakos, Rajesh M. Hegde
2024	J	`jnl`	POSTURE: Pose Guided Unsupervised Domain Adaptation for Human Body Part Segmentation. CoRR Arindam Dutta, Rohit Lal, Yash Garg, Calvin-Khang Ta, Dripta S. Raychaudhuri, Hannah Dela Cruz, Amit K. Roy-Chowdhury
2023	J	`jnl`	Factorized Tensor Networks for Multi-Task and Multi-Domain Learning. CoRR Yash Garg, Nebiyou Yismaw, Rakib Hyder, Ashley Prater-Bennette, M. Salman Asif
2023	J	`jnl`	TEMP3D: Temporally Continuous 3D Human Pose Estimation Under Occlusions. CoRR Rohit Lal, Yash Garg, Arindam Dutta, Calvin-Khang Ta, Dripta S. Raychaudhuri, M. Salman Asif, Amit K. Roy-Chowdhury
2023	J	`jnl`	eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems. CoRR Haoxiang Zhang, Juliana Freire, Yash Garg
2022	J	`jnl`	Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation. J. Sens. Actuator Networks Shruti Patil, Varadarajan Vijayakumar, Supriya V. Mahadevkar, Rohan Athawade, Lakhan Maheshwari, Shrushti Kumbhare, Yash Garg, Deepak S. Dharrao, Pooja Kamat, Ketan Kotecha
2022	—	`conf`	Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. MLSP Md Abdur Rahaman, Yash Garg, Armin Iraji, Zening Fu, Jiayu Chen, Vince D. Calhoun
2021	J	`jnl`	DataStorm: Coupled, Continuous Simulations for Complex Urban Environments. Trans. Data Sci. 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
2021	—	`conf`	ReTriM: Reconstructive Triplet Loss for Learning Reduced Embeddings for Multi-Variate Time Series. ICDM (Workshops) Yash Garg
2021	J	`jnl`	Selego: robust variate selection for accurate time series forecasting. Data Min. Knowl. Discov. Manoj Tiwaskar, Yash Garg, Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino
2021	—	`conf`	XM2A: Multi-Scale Multi-Head Attention with Cross-Talk for Multi-Variate Time Series Analysis. MIPR Yash Garg, K. Selçuk Candan
2020	—	`—`	On Feature Saliency and Deep Neural Networks. Yash Garg
2020	A*	`conf`	SAN : Scale-Space Attention Networks. ICDE Yash Garg, K. Selçuk Candan, Maria Luisa Sapino
2020	B	`conf`	SDMA: Saliency-Driven Mutual Cross Attention for Multi-Variate Time Series. ICPR Yash Garg, K. Selçuk Candan
2020	B	`conf`	iSparse: Output Informed Sparsification of Neural Network. ICMR Yash Garg, K. Selçuk Candan
2019	B	`conf`	RACKNet: Robust Allocation of Convolutional Kernels in Neural Networks for Image Classification. ICMR Yash Garg, K. Selçuk Candan
2018	J	`jnl`	DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles. Proc. VLDB Endow. Hans Behrens, K. Selçuk Candan, Xilun Chen, Ashish Gadkari, Yash Garg, Mao-Lin Li
2017	B	`conf`	On the Effectiveness of Distance Measures for Similarity Search in Multi-Variate Sensory Data: Effectiveness of Distance Measures for Similarity Search. ICMR Yash Garg, Silvestro Roberto Poccia
2017	B	`conf`	SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles. EDBT Silvestro Roberto Poccia, Maria Luisa Sapino, Sicong Liu, Xilun Chen, Yash Garg, Shengyu Huang, Jung Hyun Kim, Xinsheng Li, Parth Nagarkar, K. Selçuk Candan
2015	—	`conf`	NOTES2: Networks-of-Traces for Epidemic Spread Simulations. AAAI Workshop: Computational Sustainability Sicong Liu, Yash Garg, K. Selçuk Candan, Maria Luisa Sapino, Gerardo Chowell-Puente