Search Results for author:
Found 9 papers, 5 papers with code
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Given a learned knowledge graph (KG), our approach takes as input semantic embeddings for each node (representing visual category).
A New Approach for Resource Scheduling with Deep Reinforcement Learning
Based on the previous research on DRL in the literature, we introduce online resource scheduling algorithm DeepRM2 and the offline resource scheduling algorithm DeepRM_Off.
Compositional Video Prediction
We present an approach for pixel-level future prediction given an input image of a scene.
Object-centric Forward Modeling for Model Predictive Control
We present an approach to learn an object-centric forward model, and show that this allows us to plan for sequences of actions to achieve distant desired goals.
Shelf-Supervised Mesh Prediction in the Wild
We first infer a volumetric representation in a canonical frame, along with the camera pose.
What's in your hands? 3D Reconstruction of Generic Objects in Hands
Our work aims to reconstruct hand-held objects given a single RGB image.
Affordance Diffusion: Synthesizing Hand-Object Interactions
In contrast, in this work we focus on synthesizing complex interactions (ie, an articulated hand) with a given object.
Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips
We tackle the task of reconstructing hand-object interactions from short video clips.
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis
We propose G-HOP, a denoising diffusion based generative prior for hand-object interactions that allows modeling both the 3D object and a human hand, conditioned on the object category.
