1.6k citations · 3k across the 18 of their papers we have counts for
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Exploring Person Context and Local Scene Context for Object Detection
Saurabh Gupta, Bharath Hariharan, Jitendra Malik
In this paper we explore two ways of using context for object detection. The first model focusses on people and the objects they commonly interact with, such as fashion and sports…
Cross Modal Distillation for Supervision Transfer
Saurabh Gupta, Judy Hoffman, Jitendra Malik
In this work we propose a technique that transfers supervision between images from different modalities. We use learned representations from a large labeled modality as a superviso…
Visual Semantic Role Labeling
Saurabh Gupta, Jitendra Malik
In this paper we introduce the problem of Visual Semantic Role Labeling: given an image we want to detect people doing actions and localize the objects of interaction. Classical ap…
Exploring Nearest Neighbor Approaches for Image Captioning
Jacob Devlin, Saurabh Gupta, Ross Girshick +2
We explore a variety of nearest neighbor baseline approaches for image captioning. These approaches find a set of nearest neighbor images in the training set from which a caption m…
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin, Hao Cheng, Hao Fang +5
Two recent approaches have achieved state-of-the-art results in image captioning. The first uses a pipelined process where a set of candidate words is generated by a convolutional…
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen, Hao Fang, Tsung-Yi Lin +4
In this paper we describe the Microsoft COCO Caption dataset and evaluation server. When completed, the dataset will contain over one and a half million captions describing over 33…