Mrigank Rochan

1.9k total citations · 2 hit papers
26 papers, 1.1k citations indexed

About

Mrigank Rochan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mrigank Rochan has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Mrigank Rochan's work include Advanced Image and Video Retrieval Techniques (12 papers), Video Surveillance and Tracking Methods (8 papers) and Human Pose and Action Recognition (8 papers). Mrigank Rochan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Video Surveillance and Tracking Methods (8 papers) and Human Pose and Action Recognition (8 papers). Mrigank Rochan collaborates with scholars based in Canada, Sweden and United Arab Emirates. Mrigank Rochan's co-authors include Yang Wang, Yang Wang, Linwei Ye, Zhi Liu, Neil D. B. Bruce, Mahmoud Kalash, Noman Mohammed, Farkhund Iqbal, Md Amirul Islam and Yang Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and Image and Vision Computing.

In The Last Decade

Mrigank Rochan

24 papers receiving 1.0k citations

Hit Papers

Cross-Modal Self-Attention Network for Referring Image Se... 2018 2026 2020 2023 2019 2018 100 200 300
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. Cross-Modal Self-Attention Network for Referring Image Segmentation
    2019 329 citations Linwei Ye, Mrigank Rochan et al. profile →
  2. Malware Classification with Deep Convolutional Neural Networks
    2018 257 citations Mahmoud Kalash, Mrigank Rochan et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mrigank Rochan Canada 12 721 418 260 193 85 26 1.1k
Cihang Xie United States 14 850 1.2× 1.4k 3.4× 234 0.9× 55 0.3× 31 0.4× 33 1.8k
Walter Stechele Germany 18 378 0.5× 155 0.4× 121 0.5× 233 1.2× 22 0.3× 146 1.1k
Yinpeng Dong China 17 688 1.0× 1.2k 2.8× 292 1.1× 55 0.3× 22 0.3× 40 1.5k
Yao Lu China 15 705 1.0× 238 0.6× 64 0.2× 84 0.4× 70 0.8× 71 914
Hyun Kwon South Korea 16 204 0.3× 455 1.1× 216 0.8× 118 0.6× 94 1.1× 73 714
Suliman A. Alsuhibany Saudi Arabia 18 343 0.5× 272 0.7× 175 0.7× 209 1.1× 184 2.2× 87 930
Xiaojiang Chen China 10 211 0.3× 261 0.6× 124 0.5× 163 0.8× 52 0.6× 32 786
Mete Özay Türkiye 13 174 0.2× 376 0.9× 96 0.4× 414 2.1× 84 1.0× 73 1.0k

Countries citing papers authored by Mrigank Rochan

Since Specialization
Citations

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

Fields of papers citing papers by Mrigank Rochan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mrigank Rochan

This figure shows the co-authorship network connecting the top 25 collaborators of Mrigank Rochan. A scholar is included among the top collaborators of Mrigank Rochan 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 Mrigank Rochan. Mrigank Rochan 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.
2.
Rochan, Mrigank, et al.. (2024). Effects of Range-based LiDAR Point Cloud Density Manipulation on 3D Object Detection. 3166–3172. 1 indexed citations
3.
Rochan, Mrigank, et al.. (2022). Contrastive Learning for Unsupervised Video Highlight Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14022–14032. 21 indexed citations
4.
Rochan, Mrigank, et al.. (2021). AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting. IEEE Transactions on Multimedia. 24. 1008–1019. 23 indexed citations
5.
Rochan, Mrigank, et al.. (2021). Joint Visual and Audio Learning for Video Highlight Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8107–8117. 42 indexed citations
6.
Rochan, Mrigank, et al.. (2020). Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning. 23 indexed citations
7.
Ye, Linwei, Mrigank Rochan, Zhi Liu, & Yang Wang. (2019). Cross-Modal Self-Attention Network for Referring Image Segmentation. 10494–10503. 329 indexed citations breakdown →
8.
Cao, Peng, et al.. (2019). Non-Local Attentive Temporal Network for Video-Based Person Re-Identification. 1–8. 4 indexed citations
9.
Rochan, Mrigank, et al.. (2019). Video-Based Person Re-Identification using Refined Attention Networks. 1–8. 5 indexed citations
10.
Rochan, Mrigank, et al.. (2019). Convolutional Temporal Attention Model for Video-Based Person Re-Identification. 1102–1107. 3 indexed citations
11.
Kalash, Mahmoud, Mrigank Rochan, Noman Mohammed, et al.. (2019). A Deep Learning Framework for Malware Classification. International Journal of Digital Crime and Forensics. 12(1). 90–108. 7 indexed citations
12.
Kalash, Mahmoud, Mrigank Rochan, Noman Mohammed, et al.. (2018). Malware Classification with Deep Convolutional Neural Networks. 1–5. 257 indexed citations breakdown →
13.
Islam, Md Amirul, Mrigank Rochan, Neil D. B. Bruce, & Yang Wang. (2017). Gated Feedback Refinement Network for Dense Image Labeling. 4877–4885. 151 indexed citations
14.
Rochan, Mrigank, et al.. (2017). Adapting Object Detectors from Images to Weakly Labeled Videos. 2 indexed citations
15.
Kalash, Mahmoud, et al.. (2017). Salient Object Detection using a Context-Aware Refinement Network. 20 indexed citations
16.
Rochan, Mrigank, Shafin Rahman, Neil D. B. Bruce, & Yang Wang. (2016). Weakly supervised object localization and segmentation in videos. Image and Vision Computing. 56. 1–12. 11 indexed citations
17.
Rahman, Shafin & Mrigank Rochan. (2016). A fast farthest neighbor search algorithm for very high dimensional data. 351–356. 1 indexed citations
18.
Rochan, Mrigank, et al.. (2016). Attention Networks for Weakly Supervised Object Localization. 52.1–52.11. 41 indexed citations
19.
Rochan, Mrigank & Yang Wang. (2015). Latent SVM for Object Localization in Weakly Labeled Videos. 200–207.
20.
Rahman, Shafin, Mrigank Rochan, Yang Wang, & Neil D. B. Bruce. (2014). Examining visual saliency prediction in naturalistic scenes. 34. 4082–4086. 3 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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