Steve Branson

4.1k citations

16 papers · 1.8k indexed · 3 hit papers · h-index 14

Impact in

Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
Computer Vision and Pattern Recognition top 1%
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Vision and Imaging

Papers in

Developmental Biology 2
- Animal Vocal Communication and Behavior 2
Computer Science Applications 4
- Mobile Crowdsensing and Crowdsourcing 4

Co-authors: Pietro Perona Serge Belongie Peter Welinder Grant Van Horn Catherine Wah Jeremy Reizenstein Justin Johnson David Novotný
Journals: ISPRS Journal of Photogrammetry and Remote Sensing (1 paper)International Journal of Computer Vision (1 paper)CaltechAUTHORS (California Institute of Technology) (3 papers)
Partner nations: United States Switzerland Israel

In The Last Decade

Steve Branson

16 papers receiving 1.8k citations

Hit Papers

align trajectories log scale

Accelerating 3D deep learning with PyTorch3D 2020 · 334 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2020 Accelerating 3D deep learning with PyTorch3D
2015 Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
2010 CaltechAUTHORS (California Institute of Technology)

Peers

Countries citing papers authored by Steve Branson

Since Specialization

Citations

This map shows the geographic impact of Steve Branson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steve Branson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Branson more than expected).

Fields of papers citing papers by Steve Branson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Branson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steve Branson. The network helps show where Steve Branson may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Steve Branson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steve Branson Line = papers co-authored together Steve Branson links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

#	Work
1	Accelerating 3D deep learning with PyTorch3D Justin Johnson, Nikhila Ravi, Jeremy Reizenstein, David Novotný, Shubham Tulsiani, Christoph Lassner, Steve Branson Hit paper breakdown →	2020	334
2	Lean Multiclass Crowdsourcing Grant Van Horn, Steve Branson, Scott R. Loarie, Serge Belongie, Pietro Perona	2018	8
3	Lean Crowdsourcing: Combining Humans and Machines in an Online System Steve Branson, Grant Van Horn, Pietro Perona	2017	26
4	From Google Maps to a fine-grained catalog of street trees ISPRS Journal of Photogrammetry and Remote Sensing ·Steve Branson, Jan Dirk Wegner, D. Hall, Nico Lang, Konrad Schindler, Pietro Perona	2017	96
5	Cataloging Public Objects Using Aerial and Street-Level Images — Urban Trees Jan Dirk Wegner, Steve Branson, D. Hall, Konrad Schindler, Pietro Perona	2016	99
6	Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection Grant Van Horn, Steve Branson, Ryan Farrell, Timothy R. Walsh, محمد حسین یزدانی, Panagiotis G. Ipeirotis, Pietro Perona, Serge Belongie Hit paper breakdown →	2015	311
7	Active Annotation Translation Steve Branson, Kristján Eldjárn Hjörleifsson, Pietro Perona	2014	7
8	Similarity Comparisons for Interactive Fine-Grained Categorization Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge Belongie	2014	50
9	The Ignorant Led by the Blind: A Hybrid Human–Machine Vision System for Fine-Grained Categorization International Journal of Computer Vision ·Steve Branson, Grant Van Horn, Catherine Wah, Pietro Perona, Serge Belongie	2014	43
10	Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets CaltechAUTHORS (California Institute of Technology) ·Steve Branson, Grant Van Horn, Pietro Perona, Serge Belongie	2014	130
11	Efficient Large-Scale Structured Learning Steve Branson, Oscar Beijbom, Serge Belongie	2013	32
12	Multiclass recognition and part localization with humans in the loop Catherine Wah, Steve Branson, Pietro Perona, Serge Belongie	2011	112
13	Strong supervision from weak annotation: Interactive training of deformable part models Steve Branson, Pietro Perona, Serge Belongie	2011	62
14	Caltech-UCSD Birds 200 CaltechAUTHORS (California Institute of Technology) ·Peter Welinder, Steve Branson, (unknown), Catherine Wah, Florian Schroff, Serge Belongie, Pietro Perona	2010	30
15	The Multidimensional Wisdom of Crowds CaltechAUTHORS (California Institute of Technology) ·Peter Welinder, Steve Branson, Pietro Perona, Serge Belongie Hit paper breakdown →	2010	471
16	Similarity metrics for categorization: From monolithic to category specific Boris Babenko, Steve Branson, Serge Belongie	2009	31

About Steve Branson

Steve Branson is a scholar working on Developmental Biology, Computer Science Applications, Ecological Modeling, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Species Distribution and Climate Change (2 papers), Multimodal Machine Learning Applications (2 papers), Remote Sensing and LiDAR Applications (2 papers), Data Stream Mining Techniques (2 papers) and Animal Vocal Communication and Behavior (2 papers). The work is most often cited by research in Computer Science Applications (383 citations), Computer Vision and Pattern Recognition (983 citations), Computer Graphics and Computer-Aided Design (98 citations), Artificial Intelligence (746 citations) and Developmental Biology (49 citations). Steve Branson has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Pietro Perona, Serge Belongie, Peter Welinder, Grant Van Horn, Catherine Wah, Jeremy Reizenstein, Justin Johnson, David Novotný, Shubham Tulsiani and Nikhila Ravi. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, International Journal of Computer Vision and CaltechAUTHORS (California Institute of Technology).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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