Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …

Visual relationships capture a wide variety of interactions between pairs of objects in images
(eg “man riding bicycle” and “man pushing bicycle”). Consequently, the set of possible …

Relationships among objects play a crucial role in image understanding. Despite the great
success of deep learning techniques in recognizing individual objects, reasoning about the …

Image captioning is an important task for benchmarking visual reasoning and for enabling
accessibility for people with vision impairments. However, as in many machine learning …

Automatically describing an image with a sentence is a long-standing challenge in computer
vision and natural language processing. Due to recent progress in object detection, attribute …

Generating scene graph to describe all the relations inside an image gains increasing
interests these years. However, most of the previous methods use complicated structures …

Abstract Machine learning models are known to perpetuate and even amplify the biases
present in the data. However, these data biases frequently do not become apparent until …

When glancing at a magazine, or browsing the Internet, we are continuously exposed to
photographs. Despite this overflow of visual information, humans are extremely good at …

When human annotators are given a choice about what to label in an image, they apply their
own subjective judgments on what to ignore and what to mention. We refer to these noisy" …

The long-standing goal of localizing every object in an image remains elusive. Manually
annotating objects is quite expensive despite crowd engineering innovations. Current state …