Carl Vondrick

7.7k citations
24 papers · 1.6k indexed · 1 hit paper · h-index 14
Topics
Multimodal Machine Learning Applications (10 papers)Human Pose and Action Recognition (8 papers)Advanced Image and Video Retrieval Techniques (6 papers)

In The Last Decade

Carl Vondrick

24 papers receiving 1.5k citations

Hit Papers

Efficiently Scaling up Crowdsourced Video Annotation20122026201620212012100200300

Peers

Carl Vondrick
Comparison fields: 5 of 113
  • Computer Vision and Pattern Recognition 1.2k
  • Artificial Intelligence 541
  • Signal Processing 139
  • Human-Computer Interaction 135
  • Cognitive Neuroscience 72
Replace Hamed Pirsiavash with:
Hamed Pirsiavash United States
Enver Sangineto Italy
Shilei Wen China
Junho Yim South Korea
Bo Dai China
Hai Liu China
Sudheendra Vijayanarasimhan United States
Brendan McCane New Zealand
Matthew R. Walter United States
Monica Nicolescu United States
Carl Vondrick relative to Hamed Pirsiavash United States Hamed Pirsiavash's profile →
Citations per field
00.5×1.5×
Hamed Pirsiavash · 1×
Citations per year

Countries citing papers authored by Carl Vondrick

Since Specialization
Citations

This map shows the geographic impact of Carl Vondrick'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 Carl Vondrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl Vondrick more than expected).

Fields of papers citing papers by Carl Vondrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carl Vondrick. 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 Carl Vondrick. The network helps show where Carl Vondrick may publish in the future.

Co-authorship network of co-authors of Carl Vondrick

This figure shows the co-authorship network connecting the top 25 collaborators of Carl Vondrick. A scholar is included among the top collaborators of Carl Vondrick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carl Vondrick. Carl Vondrick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 21
3 1
4
Video Representations of Goals Emerge from Watching Failure.
1
5
Learning to Learn Words from Narrated Video.
3
6
Counterfactual Image Networks
1
7 53
8 77
9 270
10 184
11 24
12 24
13
Where are they looking
60
14 9
15 2
16 7
17 145
18 118
19
Efficiently Scaling up Crowdsourced Video Annotationbreakdown →
310
20
Video Annotation and Tracking with Active Learning
66

About Carl Vondrick

Carl Vondrick is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (10 papers), Human Pose and Action Recognition (8 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Human-Computer Interaction (135 citations) and Artificial Intelligence (541 citations). Carl Vondrick has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Antonio Torralba, Hamed Pirsiavash, Deva Ramanan, Donald J. Patterson, Aditya Khosla, Tomasz Malisiewicz, Yusuf Aytar, Lluís Castrejón, Charless C. Fowlkes and Xiangxin Zhu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and arXiv (Cornell University).

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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Rankless by CCL
2026