2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
HFGaussian: Learning Generalizable Gaussian Human with Integrated Human Features
Arnab Dey, Cheng-You Lu, Andrew I. Comport +3
Recent advancements in radiance field rendering show promising results in 3D scene representation, where Gaussian splatting-based techniques emerge as state-of-the-art due to their…
cs.CV2024
GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields
Arnab Dey, Di Yang, Rohith Agaram +4
Recent advances in Neural Radiance Fields (NeRF) have demonstrated promising results in 3D scene representations, including 3D human representations. However, these representations…
cs.CV2023★ 2 cited
STDepthFormer: Predicting Spatio-temporal Depth from Video with a Self-supervised Transformer Model
Houssem Boulahbal, Adrian Voicila, Andrew Comport
In this paper, a self-supervised model that simultaneously predicts a sequence of future frames from video-input with a novel spatial-temporal attention (ST) network is proposed. T…