61 citations · 156 across the 12 of their papers we have counts for
4 papers · 1 filter
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction
Shivam Duggal, Deepak Pathak
We present a framework for learning 3D object shapes and dense cross-object 3D correspondences from just an unaligned category-specific image collection. The 3D shapes are generate…
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi, Xiaolong Wang, Deepak Pathak +2
Learning long-term dynamics models is the key to understanding physical common sense. Most existing approaches on learning dynamics from visual input sidestep long-term predictions…
Compositional GAN: Learning Image-Conditional Binary Composition
Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi +1
Generative Adversarial Networks (GANs) can produce images of remarkable complexity and realism but are generally structured to sample from a single latent source ignoring the expli…
Learning Instance Segmentation by Interaction
Deepak Pathak, Yide Shentu, Dian Chen +4
We present an approach for building an active agent that learns to segment its visual observations into individual objects by interacting with its environment in a completely self-…