Beyond the contact: Discovering comprehensive affordance for 3d objects from pre-trained 2d diffusion models
Understanding the inherent human knowledge in interacting with a given environment (eg,
affordance) is essential for improving AI to better assist humans. While existing approaches …
affordance) is essential for improving AI to better assist humans. While existing approaches …
Crin: rotation-invariant point cloud analysis and rotation estimation via centrifugal reference frame
Various recent methods attempt to implement rotation-invariant 3D deep learning by
replacing the input coordinates of points with relative distances and angles. Due to the …
replacing the input coordinates of points with relative distances and angles. Due to the …
Markov Progressive Framework, a Universal Paradigm for Modeling Long Videos
The computational complexity of video models increases linearly with the square number of
frames. Thus, constrained bycomputational resources, training video models to learn long …
frames. Thus, constrained bycomputational resources, training video models to learn long …
PGT: A progressive method for training models on long videos
Convolutional video models have an order of magnitude larger computational complexity
than their counterpart image-level models. Constrained by computational resources, there is …
than their counterpart image-level models. Constrained by computational resources, there is …
Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine
Pixel-level 2D object semantic understanding is an important topic in computer vision and
could help machine deeply understand objects (eg, functionality and affordance) in our daily …
could help machine deeply understand objects (eg, functionality and affordance) in our daily …