RGB-D Neural Radiance Fields: Local Sampling for Faster Training. - Arnab Dey 001; Andrew I. Comport (CoRR, 2022)

PNeRF: Probabilistic Neural Scene Representations for Uncertain 3D Visual Mapping. - Yassine Ahmine; Arnab Dey 001; Andrew I. Comport (CoRR, 2022)

Mip-NeRF RGB-D: Depth Assisted Fast Neural Radiance Fields. - Arnab Dey 001; Yassine Ahmine; Andrew I. Comport (J. WSCG, 2022)

DiVA-360: The Dynamic Visuo-Audio Dataset for Immersive Neural Fields. - Cheng-You Lu; Peisen Zhou; Angela Xing; Chandradeep Pokhariya; Arnab Dey 001; Ishaan N. Shah; Rugved Mavidipalli; Dylan Hu; Andrew I. Comport; Kefan Chen; Srinath Sridhar 002 (CoRR, 2023)

GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields. - Arnab Dey 001; Di Yang 002; Rohith Agaram; Antitza Dantcheva; Andrew I. Comport; Srinath Sridhar 002; Jean Martinet (CVPR Workshops, 2024)

DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields. - Cheng-You Lu; Peisen Zhou; Angela Xing; Chandradeep Pokhariya; Arnab Dey 001; Ishaan Nikhil Shah; Rugved Mavidipalli; Dylan Hu; Andrew I. Comport; Kefan Chen; Srinath Sridhar 002 (CVPR, 2024)

HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields. - Arnab Dey 001; Di Yang 002; Antitza Dantcheva; Jean Martinet (CAI, 2024)

Neural rendering for 3D human representation with biomechanics features. (Rendu neuronal pour la représentation humaine en 3D avec des caractéristiques biomécaniques). - Arnab Dey 001 (2024)

HFGaussian: Learning Generalizable Gaussian Human With Integrated Human Features. - Arnab Dey 001; Cheng-You Lu; Andrew I. Comport; Srinath Sridhar 002; Chin-Teng Lin; Jean Martinet (IEEE Trans. Artif. Intell., 2026)