Arnab Dey

According to our database, Arnab Dey authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

HFGaussian: Learning Generalizable Gaussian Human With Integrated Human Features.

Arnab Dey, Cheng-You Lu, Andrew I. Comport, Srinath Sridhar, Chin-Teng Lin, Jean Martinet

IEEE Trans. Artif. Intell., June, 2026

2024

Neural rendering for 3D human representation with biomechanics features. (Rendu neuronal pour la représentation humaine en 3D avec des caractéristiques biomécaniques).

Arnab Dey

PhD thesis, 2024

HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields.

Arnab Dey, Di Yang, Antitza Dantcheva, Jean Martinet

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields.

Cheng-You Lu, Peisen Zhou, Angela Xing, Chandradeep Pokhariya, Arnab Dey, Ishaan Nikhil Shah, Rugved Mavidipalli, Dylan Hu, Andrew I. Comport, Kefan Chen, Srinath Sridhar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields.

Arnab Dey, Di Yang, Rohith Agaram, Antitza Dantcheva, Andrew I. Comport, Srinath Sridhar, Jean Martinet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DiVA-360: The Dynamic Visuo-Audio Dataset for Immersive Neural Fields.

Cheng-You Lu, Peisen Zhou, Angela Xing, Chandradeep Pokhariya, Arnab Dey, Ishaan N. Shah, Rugved Mavidipalli, Dylan Hu, Andrew I. Comport, Kefan Chen, Srinath Sridhar

CoRR, 2023

2022

Mip-NeRF RGB-D: Depth Assisted Fast Neural Radiance Fields.

Arnab Dey, Yassine Ahmine, Andrew I. Comport

J. WSCG, 2022

PNeRF: Probabilistic Neural Scene Representations for Uncertain 3D Visual Mapping.

Yassine Ahmine, Arnab Dey, Andrew I. Comport

CoRR, 2022

RGB-D Neural Radiance Fields: Local Sampling for Faster Training.

Arnab Dey, Andrew I. Comport

CoRR, 2022