Aviral Chharia

About Me

I am a first-year PhD student at Carnegie Mellon University. I completed my M.S. degree from CMU in 2024. Previously, I obtained my B.E. in 2022 from Thapar Institute of Engineering & Technology, advised by Prof. Rahul Upadhyay, and Prof. Vinay Kumar. I also spent an year as a MITACS Fellow at The University of British Columbia, working with Prof. Apurva Narayan and as an Research Assistant with Prof. Min Xu.

I focus on 3D Computer Vision, Digital Humans and 2D/ 3D Scene Understanding (perception, reconstruction & simulation). My research is motivated from applications in Healthcare, and AR/ VR.

News and Updates

Sep 2024: I started my PhD at Carnegie Mellon University!

Sep 2024: One paper accepted to NeurIPS, 2024

Jun 2023: One paper accepted to IJCNN, 2023

Feb 2023: Two papers accepted to IEEE Transactions on Neural Systems

Publications

3D Computer Vision and Digital Humans

	CMU-Construct: Real-time Safety Violation Recognition for 3D Multi-camera Construction Environments A. Chharia et al. Engineering Applications of Artificial Intelligence, 2025 [In Prep] Coming Soon!
	Human-VDM: Learning Single-Image 3D Human Gaussian Splatting from Video Diffusion Models Z. Liu, H. Dong, A. Chharia, H. Wu arXiv, 2024 [PDF] [Website] [Code]
	Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba H. Dong, A. Chharia*, W. Gou, F. Carrasco, F. De la Torre Neural Information Processing Systems (NeurIPS), 2024 [PDF] [Website] [Code] Ranked #1 on 2 Competition Leaderboards!

AI for Medical Imaging and Bioinformatics

	cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing Aptamer-Target A. Chharia, R. Saran, A. Narayan International Joint Conference on Neural Networks (IJCNN), 2023 [PDF] [Website] [Code]
	Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network A. Chharia, R. Upadhyay, V. Kumar, C. Cheng, J. Zhang, T. Wang, M. Xu IEEE Access, 2022. Featured in NeurIPS 2021 ML for Public Health (Oral) [PDF] [Website] [Code]
	Accuracy of US CDC COVID-19 Forecasting Models A. Chharia, G. Jeevan, R. A. Jha, M. Liu, J. Berman, C. Glorioso Frontiers in Public Health, 2022 [PDF] [News-Medical.net] [MedicalXpress.com] Featured in News-Medical.net, MedicalXpress.com!
	A novel fuzzy approach to Antimicrobial Peptide Activity Prediction: A tale of limited & imbalanced data A. Chharia, R. Upadhyay, V. Kumar NeurIPS AI4Science, 2021 [PDF]
	From Convolutions towards Spikes: Environmental Metric that the Community currently misses A. Chharia, S. Chauhan, R. Upadhyay, V. Kumar NeurIPS AI4Science & NeurIPS Human-Centered AI, 2021 [PDF]
	A Cognitively-Inspired Incremental Learning based de novo model for Breast Cancer Prognosis by Multi-Omics Data Fusion A. Chharia, N. Kumar MICCAI Predictive Intelligence in Medicine, 2021. [PDF] [Website] [Code]
	A novel fuzzy approach towards in silico B-cell epitope identification inducing antigen-specific immune response for Vaccine Design A. Chharia, A. Narayan IEEE 21st International Conference on Bioinformatics & Bioengineering, 2021. [PDF]
	Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Learning on EEG Brain Connectivity Indices N. Grover, A. Chharia, R. Upadhyay, L. Longo IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2023 [PDF] [Website]
	How Visual Stimuli evoked P300 is transforming the Brain-Computer Interface Landscape J. Kalra, P. Mittal, N. Mittal, A. Arora, U. Tewari, A. Chharia, R. Upadhyay, V. Kumar, L. Longo IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2023 [PDF]