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Saurabh Gupta

ECE, CS

15 papers hereh-index 2612.1k citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author8
  • last author1

Across the 13 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.RO2
  • cs.AI1
affiliations
  • ECE, CS
HomepageORCID 0000-0002-1195-9028
same name
  • Saurabh Gupta — 26 papers, h 19
  • Saurabh Gupta — 10 papers, h 6
  • Saurabh Gupta — 8 papers, h 5
  • Saurabh Gupta — 6 papers, h 4
  • Saurabh Gupta — 5 papers, h 4
  • Saurabh Gupta — 5 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedMicrosoft COCO Captions: Data Collection and Evaluation Server

1.6k citations · 2.2k across the 9 of their papers we have counts for

collaborators
Showing 2015 · cs.CVShow all

4 papers · 2 filters

cs.CV2015★ 331 cited

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…

cs.CV2015★ 162 cited

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…

cs.CV2015★ 1.6k cited

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…

cs.CV2015★ 30 cited

Inferring 3D Object Pose in RGB-D Images

Saurabh Gupta, Pablo Arbeláez, Ross Girshick +1

The goal of this work is to replace objects in an RGB-D scene with corresponding 3D models from a library. We approach this problem by first detecting and segmenting object instanc…

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