Hartwig Adam

46.3k total citations · 4 hit papers
36 papers, 3.8k citations indexed

About

Hartwig Adam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Hartwig Adam has authored 36 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Hartwig Adam's work include Advanced Image and Video Retrieval Techniques (16 papers), Advanced Neural Network Applications (11 papers) and Multimodal Machine Learning Applications (8 papers). Hartwig Adam is often cited by papers focused on Advanced Image and Video Retrieval Techniques (16 papers), Advanced Neural Network Applications (11 papers) and Multimodal Machine Learning Applications (8 papers). Hartwig Adam collaborates with scholars based in United States, Singapore and South Korea. Hartwig Adam's co-authors include Liang-Chieh Chen, Alan Yuille, Florian Schroff, Yukun Zhu, Yang Song, Serge Belongie, Yin Cui, Li Fei-Fei, Pietro Perona and Wei Hua and has published in prestigious journals such as Nature, Proceedings of the IEEE and Frontiers in Psychology.

In The Last Decade

Hartwig Adam

36 papers receiving 3.7k citations

Hit Papers

The iNaturalist Species Classification and Detection Dataset 2018 2026 2020 2023 2018 2019 2020 2021 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The iNaturalist Species Classification and Detection Dataset
    2018 770 citations Grant Van Horn, Oisin Mac Aodha et al. profile →
  2. Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
    2019 628 citations Chenxi Liu, Liang-Chieh Chen et al. profile →
  3. Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
    2020 380 citations Bowen Cheng, Maxwell D. Collins et al. profile →
  4. MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
    2021 329 citations Huiyu Wang, Yukun Zhu et al. profile →

Peers

Hartwig Adam
Xuming He China
Jordi Pont-Tuset Spain
Stefan Carlsson Sweden
Josephine Sullivan Sweden
Abhinav Shrivastava United States
S. M. Ali Eslami United Kingdom
Peng Zheng China
Bryan Russell United States
Ishan Misra United States
Terrance E. Boult United States
Xuming He China
Hartwig Adam
Citations per year, relative to Hartwig Adam Hartwig Adam (= 1×) peers Xuming He

Countries citing papers authored by Hartwig Adam

Since Specialization
Citations

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

Fields of papers citing papers by Hartwig Adam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hartwig Adam

This figure shows the co-authorship network connecting the top 25 collaborators of Hartwig Adam. A scholar is included among the top collaborators of Hartwig Adam 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 Hartwig Adam. Hartwig Adam 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
1.
Cowen, Alan, Jeffrey A. Brooks, Gautam Prasad, et al.. (2024). How emotion is experienced and expressed in multiple cultures: a large-scale experiment across North America, Europe, and Japan. Frontiers in Psychology. 15. 1350631–1350631. 10 indexed citations
2.
Zhao, L., Xingyi Zhou, Jialin Wu, et al.. (2024). Distilling Vision-Language Models on Millions of Videos. 13106–13116. 3 indexed citations
3.
Yuan, Liangzhe, Rui Qian, Yin Cui, et al.. (2022). Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13957–13966. 14 indexed citations
4.
Wang, Huiyu, Yukun Zhu, Hartwig Adam, Alan Yuille, & Liang-Chieh Chen. (2021). MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers. 5459–5470. 329 indexed citations breakdown →
5.
Somandepalli, Krishna, et al.. (2021). Computational Media Intelligence: Human-Centered Machine Analysis of Media. Proceedings of the IEEE. 109(5). 891–910. 25 indexed citations
6.
Chen, Bo, Golnaz Ghiasi, Hanxiao Liu, et al.. (2020). MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices. 13604–13613. 35 indexed citations
7.
Chen, Liang-Chieh, Raphael Gontijo Lopes, Bowen Cheng, et al.. (2020). Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.. arXiv (Cornell University). 2 indexed citations
8.
Chen, Liang-Chieh, Raphael Gontijo Lopes, Bowen Cheng, et al.. (2020). Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. arXiv (Cornell University). 5 indexed citations
9.
Cheng, Bowen, Maxwell D. Collins, Yukun Zhu, et al.. (2020). Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. 12472–12482. 380 indexed citations breakdown →
10.
Cowen, Alan, Dacher Keltner, Florian Schroff, et al.. (2020). Sixteen facial expressions occur in similar contexts worldwide. Nature. 589(7841). 251–257. 145 indexed citations
11.
Robertson, Tim, Serge Belongie, Hartwig Adam, et al.. (2019). Training Machines to Identify Species using GBIF-mediated Datasets. Biodiversity Information Science and Standards. 3. 4 indexed citations
12.
Guo, Sheng, Weilin Huang, Xiao Zhang, et al.. (2019). The iMaterialist Fashion Attribute Dataset. Research at the University of Copenhagen (University of Copenhagen). 3113–3116. 40 indexed citations
13.
Liu, Chenxi, Liang-Chieh Chen, Florian Schroff, et al.. (2019). Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. 82–92. 628 indexed citations breakdown →
14.
Chen, Liang-Chieh, Alexander Hermans, George Papandreou, et al.. (2018). MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features. 4013–4022. 225 indexed citations
15.
Horn, Grant Van, Oisin Mac Aodha, Yang Song, et al.. (2018). The iNaturalist Species Classification and Detection Dataset. 8769–8778. 770 indexed citations breakdown →
16.
Horn, Grant Van, Oisin Mac Aodha, Yang Song, et al.. (2017). The iNaturalist Challenge 2017 Dataset. arXiv (Cornell University). 30 indexed citations
17.
Song, Yang, et al.. (2017). Learning Unified Embedding for Apparel Recognition. 14 indexed citations
18.
Han, Bohyung, Jack Sim, & Hartwig Adam. (2017). BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks. 521–530. 100 indexed citations
19.
Frome, Andrea, German Cheung, Marco Zennaro, et al.. (2009). Large-scale privacy protection in Google Street View. 2373–2380. 161 indexed citations
20.
Szilágyi, László, Zoltán Benyó, Sándor Miklós Szilágyi, & Hartwig Adam. (2004). MR brain image segmentation using an enhanced fuzzy C-means algorithm. 724–726. 329 indexed citations

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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