1.6k citations · 6.3k across the 48 of their papers we have counts for
6 papers · 1 filter
Learning a Recurrent Visual Representation for Image Caption Generation
Xinlei Chen, C. Lawrence Zitnick
In this paper we explore the bi-directional mapping between images and their sentence-based descriptions. We propose learning this mapping using a recurrent neural network. Unlike…
Collecting Image Description Datasets using Crowdsourcing
Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
We describe our two new datasets with images described by humans. Both the datasets were collected using Amazon Mechanical Turk, a crowdsourcing platform. The two datasets contain…
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
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, attri…
From Captions to Visual Concepts and Back
Hao Fang, Saurabh Gupta, Forrest Iandola +9
This paper presents a novel approach for automatically generating image descriptions: visual detectors, language models, and multimodal similarity models learnt directly from a dat…
Fast Edge Detection Using Structured Forests
Piotr Dollár, C. Lawrence Zitnick
Edge detection is a critical component of many vision systems, including object detectors and image segmentation algorithms. Patches of edges exhibit well-known forms of local stru…
Microsoft COCO: Common Objects in Context
Tsung-Yi Lin, Michael Maire, Serge Belongie +7
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question…