6 citations · 11 across the 4 of their papers we have counts for
8 papers
Learning Program Representations for Food Images and Cooking Recipes
Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko +3
In this paper, we are interested in modeling a how-to instructional procedure, such as a cooking recipe, with a meaningful and rich high-level representation. Specifically, we prop…
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents
Ethan Weber, Dim P. Papadopoulos, Agata Lapedriza +3
Natural disasters, such as floods, tornadoes, or wildfires, are increasingly pervasive as the Earth undergoes global warming. It is difficult to predict when and where an incident…
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…
Detecting natural disasters, damage, and incidents in the wild
Ethan Weber, Nuria Marzo, Dim P. Papadopoulos +5
Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious task performed by on-the-ground emergency responders and analysts. Social media has emer…
How to make a pizza: Learning a compositional layer-based GAN model
Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli +2
A food recipe is an ordered set of instructions for preparing a particular dish. From a visual perspective, every instruction step can be seen as a way to change the visual appeara…
Extreme clicking for efficient object annotation
Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller +1
Manually annotating object bounding boxes is central to building computer vision datasets, and it is very time consuming (annotating ILSVRC [53] took 35s for one high-quality box […