722 citations · 2k across the 56 of their papers we have counts for
15 papers · 1 filter
EditGAN: High-Precision Semantic Image Editing
Huan Ling, Karsten Kreis, Daiqing Li +3
Generative adversarial networks (GANs) have recently found applications in image editing. However, most GAN based image editing methods often require large scale datasets with sema…
OPEn: An Open-ended Physics Environment for Learning Without a Task
Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba +2
Humans have mental models that allow them to plan, experiment, and reason in the physical world. How should an intelligent agent go about learning such models? In this paper, we wi…
Toward a Visual Concept Vocabulary for GAN Latent Space
Sarah Schwettmann, Evan Hernandez, David Bau +3
A large body of recent work has identified transformations in the latent spaces of generative adversarial networks (GANs) that consistently and interpretably transform generated im…
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions
Shuang Li, Yilun Du, Antonio Torralba +2
We introduce the task of weakly supervised learning for detecting human and object interactions in videos. Our task poses unique challenges as a system does not know what types of…
Scaling up instance annotation via label propagation
Dim P. Papadopoulos, Ethan Weber, Antonio Torralba
Manually annotating object segmentation masks is very time-consuming. While interactive segmentation methods offer a more efficient alternative, they become unaffordable at a large…
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
Qiang Zhang, Yunzhu Li, Yiyue Luo +6
Tactile sensing is critical for humans to perform everyday tasks. While significant progress has been made in analyzing object grasping from vision, it remains unclear how we can u…