2.4k citations · 2.7k across the 29 of their papers we have counts for
4 papers · 1 filter
U-Net: Going Deeper with Nested U-Structure for Salient Object Detection
Xuebin Qin, Zichen Zhang, Chenyang Huang +3
In this paper, we design a simple yet powerful deep network architecture, U-Net, for salient object detection (SOD). The architecture of our U-Net is a two-level nested U-s…
A Geometric Perspective on Visual Imitation Learning
Jun Jin, Laura Petrich, Masood Dehghan +1
We consider the problem of visual imitation learning without human supervision (e.g. kinesthetic teaching or teleoperation), nor access to an interactive reinforcement learning (RL…
Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream
Chen Jiang, Masood Dehghan, Martin Jagersand
Manipulation tasks in daily life, such as pouring water, unfold intentionally under specialized manipulation contexts. Being able to process contextual knowledge in these Activitie…
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin +2
Significant progress has been made recently in developing few-shot object segmentation methods. Learning is shown to be successful in few-shot segmentation settings, using pixel-le…