You can also find my articles on my Google Scholar profile.
Published in arXiv preprint, 2024
Human digitization, 3D Gaussian Splatting, Biomechanics
Recommended citation: Arnab Dey, Cheng-You Lu, Andrew I. Comport, Srinath Sridhar, and Jean Martinet. "HFGaussian: Human gaussian with biomechanics features". arXiv preprint arXiv:2411.03086 (2024). https://doi.org/10.48550/arXiv.2411.03086
Published in CVPR 2024, 2024
Dataset, Neural Fields, Immersive visualization
Recommended citation: Lu, Cheng-You, et al. "DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. https://openaccess.thecvf.com/content/CVPR2024/papers/Lu_DiVa-360_The_Dynamic_Visual_Dataset_for_Immersive_Neural_Fields_CVPR_2024_paper.pdf
Published in IEEE CAI 2024, 2024
Neural Radiance Fields, Biomechanics, Human modeling
Recommended citation: Dey, Arnab, et al., "HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields," 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, Singapore, 2024. #
Published in CVPR 2024, 2024
Neural Radiance Fields, Human modeling, Computer Vision
Recommended citation: Dey, Arnab, et al. "GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. https://openaccess.thecvf.com/content/CVPR2024/papers/Dey_GHNeRF_Learning_Generalizable_Human_Features_with_Efficient_Neural_Radiance_Fields_CVPR_2024_paper.pdf
Published in arXiv, 2022
Recommended citation: PNeRF: Probabilistic Neural Scene Representations for Uncertain 3D Visual Mapping. Y Ahmine, A Dey, AI Comport - arXiv preprint arXiv:2209.11677, 2022 https://arxiv.org/pdf/2209.11677.pdf
Published in WSCG 2022, 2022
Computer vision, Neural Radiance fields, Depth estimation
Recommended citation: Dey, A. and Ahmine, Y. and Comport, A.I., Mip-NeRF RGB-D: Depth-Assisted Fast Neural Radiance Fields, Journal of WSCG, Volume 30 pages 34-43, DOI:10.24132/JWSCG.2022.5. https://arxiv.org/pdf/2205.09351.pdf
Published in EuroGraphics 2022, 2022
Recommended citation: Arnab Dey, Andrew I. Comport. RGB-D Neural Radiance Fields: Local Sampling for Faster Training https://diglib.eg.org/handle/10.2312/egp20221001