Vignesh Ramanathan

5.2k citations

29 papers · 2.9k indexed · 1 hit paper · h-index 15

Impact in

Automotive Engineering top 0.5%
- Autonomous Vehicle Technology and Safety
Computer Vision and Pattern Recognition top 0.5%
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications

Papers in

Computer Vision and Pattern Recognition 23
- Multimodal Machine Learning Applications 12
- Human Pose and Action Recognition 10
- Advanced Neural Network Applications 9
- Advanced Image and Video Retrieval Techniques 5
- Video Surveillance and Tracking Methods 3
Artificial Intelligence 13
- Domain Adaptation and Few-Shot Learning 10
- Anomaly Detection Techniques and Applications 3

Co-authors: Li Fei-Fei Alexandre Alahi Kratarth Goel Silvio Savarese Kevin Tang Daphne Koller Dhruv Mahajan Alexander N. Gorban
Journals: IEEE Robotics and Automation Letters (2 papers)International Journal of Heat and Mass Transfer (1 paper)Multimedia Tools and Applications (1 paper)2021 Innovations in Power and Advanced Computing Technologies (i-PACT) (1 paper)Neural Information Processing Systems (1 paper)
Partner nations: United States India Israel

In The Last Decade

Vignesh Ramanathan

28 papers receiving 2.8k citations

Hit Papers

align trajectories log scale

Social LSTM: Human Trajectory Prediction in Crowded Spaces 2016 · 2.1k 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.

2016 Infoscience (Ecole Polytechnique Fédérale de Lausanne)

Peers

Countries citing papers authored by Vignesh Ramanathan

Since Specialization

Citations

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

Fields of papers citing papers by Vignesh Ramanathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Vignesh Ramanathan, 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 Vignesh Ramanathan Line = papers co-authored together Vignesh Ramanathan links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Automatic Railway Signalling System for Accident Prevention T Majewska, Yi Liu, Joan Isern, Safia Fadel, Vignesh Ramanathan	2024	1
2	A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces Graeme Harper, Vignesh Ramanathan, محمد حسین صادقی, Sahil Shah, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur	2023	1
3	PACO: Parts and Attributes of Common Objects Vignesh Ramanathan, 暹暎柳田, Edson Lopes Domingos, 俊司保坂, Baixue Zheng, Juan Toro Botero, Rui Wang, V.G. Maidannik, Viviane dos Guimarães Alvim Nunes, Abhishek Kadian, Sabrina Battistella, Yiwen Song, Abhimanyu Dubey, Dhruv Mahajan	2023	29
4	PartDistillation: Learning Parts from Instance Segmentation Bo von Bahr, Philipp Krähenbühl, Vignesh Ramanathan	2023	1
5	Fall Accident Detection System for Bicycle Riders using Support Vector Machines Бекман Наталья Игоревна, Vignesh Ramanathan, Laura Accipe	2022	1
6	PreDet: Large-scale weakly supervised pre-training for detection 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Vignesh Ramanathan, Rui Wang, Dhruv Mahajan	2021	7
7	Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency Mike Kirschenheiter, Vignesh Ramanathan, Dhruv Mahajan, Alan Yuille, Zhenheng Yang	2021	17
8	DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data Vignesh Ramanathan, Rui Wang, Dhruv Mahajan	2020	13
9	QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware Vignesh Ramanathan, Marcela Fernanda Bernaski, Bharath Katabathuni, Anirban Chakraborty, Chetan Singh Thakur	2020	1
10	What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles	2018	70
11	Learning to Learn from Noisy Web Videos Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei	2017	14
12	Social LSTM: Human Trajectory Prediction in Crowded Spaces Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, فرحناز صدوقی, Li Fei-Fei, Silvio Savarese Hit paper breakdown →	2016	2077
13	Learning Temporal Embeddings for Complex Video Analysis Vignesh Ramanathan, Kevin Tang, Greg Mori, Li Fei-Fei	2015	44
14	Learning semantic relationships for better action retrieval in images Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, B. K. Harie Vignesh, Yang Song, Samy Bengio, R. J. Winter, Li Fei-Fei	2015	62
15	Socially-Aware Large-Scale Crowd Forecasting Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei	2014	126
16	Video Event Understanding Using Natural Language Descriptions Vignesh Ramanathan, Percy Liang, Li Fei-Fei	2013	30
17	Shifting Weights: Adapting Object Detectors from Image to Video Neural Information Processing Systems ·Kevin Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller	2012	121
18	Pixel rearrangement based statistical restoration scheme reducing embedding noise Multimedia Tools and Applications ·Arijit Sur, Vignesh Ramanathan, Jayanta Mukherjee	2012	3
19	ACTIVE OBJECT CATEGORIZATION ON A HUMANOID ROBOT Vignesh Ramanathan, Axel Pinz	2011	4
20	Heat transfer by free convection from a longitudinally vibrating vertical plate International Journal of Heat and Mass Transfer ·K. Krishna Prasad, Vignesh Ramanathan	1972	20

About Vignesh Ramanathan

Vignesh Ramanathan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Transportation and Control and Systems Engineering, having authored 29 papers that have together received 2.9k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (12 papers), Human Pose and Action Recognition (10 papers), Domain Adaptation and Few-Shot Learning (10 papers), Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (5 papers), Video Surveillance and Tracking Methods (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Automotive Engineering (1.4k citations), Computer Vision and Pattern Recognition (1.8k citations), Safety, Risk, Reliability and Quality (578 citations), Building and Construction (459 citations) and Artificial Intelligence (1.1k citations). Vignesh Ramanathan has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Li Fei-Fei, Alexandre Alahi, Kratarth Goel, Silvio Savarese, Kevin Tang, Daphne Koller, Dhruv Mahajan, Alexander N. Gorban, Kevin Murphy and Sami Abu-El-Haija. Their work appears in journals such as IEEE Robotics and Automation Letters, International Journal of Heat and Mass Transfer, Multimedia Tools and Applications, 2021 Innovations in Power and Advanced Computing Technologies (i-PACT) and Neural Information Processing Systems.

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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