Asia
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
We develop a 3D equivariant diffusion model that jointly learns the generative process of both fragment poses and the 3D structure of the linker.
Improving Gloss-free Sign Language Translation by Reducing Representation Density
Sign languages are the primary form of communication for millions of deaf individuals.
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation Cédric Rommel
We propose ManiPose, a manifold-constrained multi-hypothesis model for human-pose 2D-to-3D lifting.
PoET: A generative model of protein families as sequences-of-sequences
Generative protein language models are a natural way to design new proteins with desired functions.
Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions - Supplementary Materials - Rawal Khirodkar
For video demos of Harmony4D, please visit: Harmony4D Website. Please do not share the dataset with anyone as it is not publicly available yet. Harmony4D is a 75-minute video dataset collected using over 20 eqidistant, synchronized GoPro cameras. It consists of 1.66M images and 3.32M human instances, divided into 1.28M images for We manually clipped the videos into 208 sequences across 6 different activities, ensuring each sequence is at least 5 seconds (100 frames) long for temporal continuity. The 2D bboxes are derived from projected SMPL human vertices.
Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions
Understanding how humans interact with each other is key to building realistic multi-human virtual reality systems. This area remains relatively unexplored due to the lack of large-scale datasets. Recent datasets focusing on this issue mainly consist of activities captured entirely in controlled indoor environments with choreographed actions, significantly affecting their diversity.
