Ramanathan Subramanian

Research output

Research output per year 2004 2013 2014 2015 2017 2018 2022 2023 2024

• 54 Conference contribution
• 24 Article
• 5 Chapter
• 4 Paper
• 5 More
  • 3 Other chapter contribution
  • 1 Abstract
  • 1 Other

Research output per year

Research output per year

Search results

• 2024

  Exploring EEG-Based Affective Analysis and Detection of Parkinson's Disease

  Parameshwara, R., Narayana, S., Murugappan, M., Radwan, I., Goecke, R. & Subramanian, R., Sept 2024, In: Intelligent Computing. p. 1-25 25 p.

  Research output: Contribution to journal › Article › peer-review

• Foreign Influence in the 2022 U.S. Midterm Elections—A Case Study in Foreign Interference and Election Meddling

  JENSEN, M., Bachmann, S-D., Subramanian, R. & Gahalawat, M., 28 Jun 2024, In: Journal of Information Warfare. 23, 2, p. 1-23 23 p.

  Research output: Contribution to journal › Article › peer-review

• Gender and emotion recognition from EEG and eye movement patterns

  Bilalpur, M., Kia, S. M., Kankanhalli, M., Subramanian, R. & Murugappan, M., 1 Jan 2024, Affective Computing Applications using Artificial Intelligence in Healthcare: Methods, approaches and challenges in system design. Murugapparn, M. (ed.). Institution of Engineering and Technology, p. 39-65 27 p.

  Research output: A Conference proceeding or a Chapter in Book › Chapter › peer-review

• MARS: A Multiview Contrastive Approach to Human Activity Recognition from Accelerometer Sensor

  Sharma, G., Dhall, A. & Subramanian, R., Jan 2024, In: IEEE Sensors Letters. 8, 3, p. 1-4 4 p., 6002004.

  Research output: Contribution to journal › Article › peer-review

• StethoSpeech: Speech Generation Through a Clinical Stethoscope Attached to the Skin

  Shah, N., Sahipjohn, N., Tambrahalli, V., Subramanian, R. & Gandhi, V., 9 Sept 2024, In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 8, 3, p. 1-21 21 p.

  Research output: Contribution to journal › Article › peer-review
• 2023

  Affective computational advertising based on perceptual metrics

  Narayana, S., Jain, S., Goecke, R., Katti, H. & Subramanian, R., 3 Aug 2023, Affective Computing in Healthcare: Applications based on biosignals and artificial intelligence. Murugappan, M. (ed.). Institute of Physics Publishing, p. 4-1 - 4-20 20 p.

  Research output: A Conference proceeding or a Chapter in Book › Chapter › peer-review

  • Marketing 100%
  • Validation Studies 38%

• A Weakly Supervised Approach to Emotion-change Prediction and Improved Mood Inference

  Narayana, S., Radwan, I., Parameshwara, R., Abbasnejad, I., Asthana, A., Subramanian, R. & Goecke, R., 10 Sept 2023, 2023 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1-8 8 p. 10388146. (2023 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Labels 100%
  • Emotions 93%
  • Experiments 8%
  • Learning 7%
  1 Citation (Scopus)

• Design and Evaluation of a Virtual Reality Game to Improve Physical and Cognitive Acuity: VHB- A Virtual Reality Game to Improve Physical and Cognitive Acuity

  John, B., Subramanian, R. & Kurian, J., 8 Dec 2023, International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies". De', R., Paul, S., Sarkar, S., KristiinaTuunainen, V., Fernandez, W., Nandhakumar, J., Santhanam, R., Burstein, F., Sarker, S., Oborn, E. & Chiarini Trembley, M. (eds.). 2023 ed. Hyderabad: Association for Information Systems, Vol. 16. p. 1-17 17 p. (International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies").

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Virtual reality 100%
  • Coordination reactions 82%
  • Aging of materials 60%
  • Health 27%
  • Data storage equipment 23%
  1 Citation (Scopus)

• Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning

  Parameshwara, R., Radwan, I., Asthana, A., Abbasnejad, I., Subramanian, R. & Goecke, R., 26 Oct 2023, MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia. Bertini, M., Tobon Vallejo, D. P., Atrey, P. K. & Hossain, M. S. (eds.). United States: Association for Computing Machinery (ACM), p. 6161-6170 10 p. (MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Multi-task learning 100%
  • Labeling 72%
  • Supervised learning 11%
  • Deep learning 9%
  • Labels 9%
  3 Citations (Scopus)

• Examining Subject-Dependent and Subject-Independent Human Affect Inference from Limited Video Data

  Parameshwara, R., Radwan, I., Subramanian, R. & Goecke, R., 5 Jan 2023, 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition, FG 2023. IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. (2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition, FG 2023).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Memory architecture 100%
  • Long short-term memory 93%
  • Convolutional neural networks 73%
  • Labels 68%
  • Data structures 66%
  3 Citations (Scopus)

• Examining the Influence of Personality and Multimodal Behavior on Hireability Impressions

  Malik, H., Dhillon, H., Parameshwara, R., Goecke, R. & Subramanian, R., 15 Dec 2023, Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP '23). Jawahar, CV., Natarajan, V., Raman, S. & Balasuburamanian, V. (eds.). Association for Computing Machinery (ACM), p. 1-9 9 p. (ICVGIP'23).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Personality 100%
  • Cues 55%
  • Verbal Behavior 23%
  • Eye Movements 16%
  • Datasets 12%

• Explainable Depression Detection via Head Motion Patterns

  Gahalawat, M., Fernendez-Rojas, R., Guha, T., Subramanian, R. & Goecke, R., 9 Oct 2023, ICMI 2023 - Proceedings of the 25th International Conference on Multimodal Interaction. Andre, E., Chetouani, M., Vaufreydaz, D., Lucas, G., Schultz, T., Morency, L-P. & Vinciarelli, A. (eds.). United States: Association for Computing Machinery (ACM), p. 261-270 10 p. (ACM International Conference Proceeding Series).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Biomarkers 100%
  • Statistics 30%
  • Machine learning 29%
  2 Citations (Scopus)

• Hierarchical Autoencoder Frequency Features for Stress Detection

  Kuttala, R., Subramanian, R. & Oruganti, V. R. M., 18 Sept 2023, In: IEEE Access. 11, p. 103232-103241 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Frequency bands 100%
  • Error 84%
  • Classifier 77%
  • Deep learning 50%
  • Recurrent neural networks 29%

• MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings

  Madan, S., Jain, R., Sharma, G., Subramanian, R. & Dhall, A., 26 Oct 2023, Proceedings of the 31st ACM International Conference on Multimedia: MM23. El Saddik, A., Mei, T., Cucchiara, R., Bertini, M., Patricia, D., K. Atrey, P., Hossain, M. S., K. Saini, M. & Chang, M-C. (eds.). United States: Association for Computing Machinery (ACM), p. 9526-9530 5 p. (MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Fusion reactions 100%
  • Discrete cosine transforms 70%
  • Artificial intelligence 54%
  • Computer vision 52%
  • Experiments 22%

• MEDiC: Mitigating EEG Data Scarcity Via Class-Conditioned Diffusion Model

  Sharma, G., Dhall, A. & Subramanian, R., 27 Oct 2023, Deep Generative Models for Health Workshop NeurIPS 2023. Fortuin, V., Laguna, S., Manduchi, L., Mandt, S., Palumbo, E., F. Pradier, M. & Vogt, J. (eds.). MIT Press, p. 1-7 7 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Electroencephalography 100%
  • Statistical Models 15%
  • Availability 12%
  • Experiments 6%

• Multimodal Hierarchical CNN Feature Fusion for Stress Detection

  Kuttala, R., Subramanian, R. & Oruganti, V. R. M., 24 Jan 2023, In: IEEE Access. 11, p. 6867-6878 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Convolutional neural networks 100%
  • Fusion reactions 88%
  • Frequency bands 24%
  • Electrocardiography 13%
  • Deep learning 12%
  24 Citations (Scopus)

  87 Downloads (Pure)
• 2022

  A Transformer Based Approach for Activity Detection

  Sharma, G., Dhall, A. & Subramanian, R., 10 Oct 2022, MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia. Association for Computing Machinery, Inc, p. 7155-7159 5 p. (MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Convolutional neural networks 100%
  • Fusion reactions 58%
  • Accelerometers 34%
  • Sensors 18%
  • Experiments 13%
  5 Citations (Scopus)

• Dense attentive GAN-based one-class model for detection of autism and ADHD

  Kuttala, D., Mahapatra, D., Subramanian, R. & Oruganti, V. R. M., Nov 2022, In: Journal of King Saud University - Computer and Information Sciences. 34, 10, p. 10444-10458 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Magnetic resonance 100%
  • Experiments 34%
  15 Citations (Scopus)

  120 Downloads (Pure)

• Joint Modality Features in Frequency Domain for Stress Detection

  Radhika, K., Subramanian, R. & Oruganti, V. R. M., 3 Jun 2022, In: IEEE Access. 10, p. 57201-57211 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Fusion reactions 100%
  • Decomposition 80%
  • Electrocardiography 61%
  • Feature extraction 47%
  • Machine learning 45%
  7 Citations (Scopus)

  45 Downloads (Pure)

• Music Identification using brain responses to initial snippets

  Pandey, P., Sharma, G., Miyapuram, K. P., Subramanian, R. & Lomas, D., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Li, H. & Furui, S. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1246-1250 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Electroencephalography 100%
  • Brain 85%
  • Power spectrum 55%
  • Machine learning 38%
  • Classifiers 36%
  9 Citations (Scopus)

• Neural Encoding of Songs is Modulated by Their Enjoyment

  Sharma, G., Pandey, P., Subramanian, R., Miyapuram, K. P. & Dhall, A., 7 Nov 2022, ICMI 2022 - Proceedings of the 2022 International Conference on Multimodal Interaction. Association for Computing Machinery, Inc, p. 414-419 6 p. (ACM International Conference Proceeding Series).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Electroencephalography 100%
  • Brain 42%
  2 Citations (Scopus)

• Outlier-based Autism Detection using Longitudinal Structural MRI

  Devika, K., Mahapatra, D., Subramanian, R. & Oruganti, V. R. M., 2022, In: IEEE Access. 10, p. 27794-27808 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Magnetic Resonance Imaging 100%
  • Magnetic resonance imaging 92%
  • Disorder 75%
  • Discriminators 27%
  • Anomaly detection 22%
  16 Citations (Scopus)

• Recognition of Advertisement Emotions with Application to Computational Advertising

  Shukla, A., Gullapuram, S. S., Katti, H., Kankanhalli, M., Winkler, S. & Subramanian, R., 2022, In: IEEE Transactions on Affective Computing. 13, 2, p. 781-792 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Audiovisual 100%
  • Marketing 83%
  • Electroencephalography 83%
  • Convolutional neural networks 52%
  • Multi-task learning 38%
  19 Citations (Scopus)

• To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion

  Narayana, S., Subramanian, R., Radwan, I. & Goecke, R., 7 Nov 2022, ICMI 2022 - Companion Publication of the 2022 International Conference on Multimodal Interaction. Tumuluri, R., Sebe, N., Pingali, G. & Jayagopi, D. B. (eds.). New York: Association for Computing Machinery (ACM), p. 36-41 6 p. (ACM International Conference Proceeding Series).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Labels 100%
  • Convolutional neural networks 26%
  • Experiments 10%
  2 Citations (Scopus)
• 2021

  FakeBuster: A deepfakes detection tool for video conferencing scenarios

  Mehta, V., Gupta, P., Subramanian, R. & Dhall, A., 14 Apr 2021, 26th International Conference on Intelligent User Interfaces, IUI 2021 Companion. Verbert, K. & Parra, D. (eds.). United States: Association for Computing Machinery (ACM), p. 61-63 3 p. 3450726. (International Conference on Intelligent User Interfaces, Proceedings IUI).

  Research output: A Conference proceeding or a Chapter in Book › Other chapter contribution › peer-review

  Open Access

  • Video conferencing 100%
  • Convolutional neural networks 23%
  • Deep learning 22%
  • Detectors 19%
  19 Citations (Scopus)

• Head Matters: Explainable Human-centered Trait Prediction from Head Motion Dynamics

  Madan, S., Gahalawat, M., Guha, T. & Subramanian, R., 18 Oct 2021, ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction. Hammal, Z., Busso, C., Pelachaud, C., Oviatt, S., Salah, A. A. & Zhao, G. (eds.). United States: Association for Computing Machinery (ACM), p. 435-443 9 p. (ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Long short-term memory 100%
  • Screening 80%
  • Convolutional neural networks 78%
  6 Citations (Scopus)

• This Explains That: Congruent Image–Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks

  Pandey, A., Paliwal, B., Dhall, A., Subramanian, R. & Mahapatra, D., 2021, Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Proceedings. Reyes, M., Henriques Abreu, P., Cardoso, J., Hajij, M., Zamzmi, G., Rahul, P. & Thakur, L. (eds.). Netherlands: Springer, p. 34-43 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12929 LNCS).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Medical Image Analysis 100%
  • Medical Image 88%
  • Congruent 66%
  • Labeling 59%
  • Image analysis 58%

• ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction

  Jain, S., Yarlagadda, P., Jyoti, S., Karthik, S., Subramanian, R. & Gandhi, V., 2021, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021. Přeučil, L. & Babuška, R. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 3520-3527 8 p. (IEEE International Conference on Intelligent Robots and Systems).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Audiovisual 100%
  • Convolution 17%
  • Deep learning 15%
  • Interpolation 14%
  41 Citations (Scopus)
• 2020

  GAZEDA- Gaze-guided Cinematic Editing of Wide-Angle Monocular Video Recordings

  Moorthy, K. L. B., Kumar, M., Subramanian, R. & Gandhi, V., 21 Apr 2020, CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Bernhaupt, R., Mueller, F., Verweij, D., Andres, J. & McGrenere, J. (eds.). United States: Association for Computing Machinery (ACM), p. 1-11 11 p. 3376544. (Conference on Human Factors in Computing Systems - Proceedings).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Video recording 100%
  • Cameras 55%
  16 Citations (Scopus)

• Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

  Chugh, K., Gupta, P., Dhall, A. & Subramanian, R., 12 Oct 2020, MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia. Chen, C. W., Cucchiara, R., Hua, X-S., Qi, G-J., Ricci, E., Zhang, Z. & Zimmermann, R. (eds.). United States: Association for Computing Machinery (ACM), p. 439-447 9 p. (MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Audiovisual 100%
  • Entropy 24%
  • Experiments 10%
  96 Citations (Scopus)

• The eyes know it: FakeET- An Eye-tracking Database to Understand Deepfake Perception

  Gupta, P., Chugh, K., Dhall, A. & Subramanian, R., 21 Oct 2020, ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction. Truong, K. & Heylen, D. (eds.). United States: Association for Computing Machinery (ACM), p. 519-527 9 p. (ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Eye tracking 100%
  • Electroencephalography 82%
  • Eye movements 31%
  • Sensors 14%
  20 Citations (Scopus)
• 2019

  The effect of eye movements in response to different types of scenes using a graph-based visual saliency algorithm

  Wahid, M., Waris, A., Gilani, S. O. & Subramanian, R., 9 Dec 2019, In: Applied Sciences (Switzerland). 9, 24, p. 1-11 5378.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • emotions 100%
  • eye movements 93%
  • Eye movements 73%
  • clips 64%
  • Pixels 49%
  5 Citations (Scopus)

  49 Downloads (Pure)
• 2018

  An EEG-based image annotation system

  Parekh, V., Subramanian, R., Roy, D. & Jawahar, C. V., 2018, Computer Vision, Pattern Recognition, Image Processing, and Graphics - 6th National Conference, NCVPRIPG 2017, Revised Selected Papers. Rameshan, R., Dutta Roy, S. & Arora, C. (eds.). Springer, Vol. Netherlands. p. 303-313 11 p. (Communications in Computer and Information Science; vol. 841).

  Research output: A Conference proceeding or a Chapter in Book › Other chapter contribution › peer-review

  • Image Annotation 100%
  • Electroencephalogram (EEG) 62%
  • Image annotation 62%
  • Electroencephalography 45%
  • Annotation 39%
  23 Citations (Scopus)

• Ascertain: Emotion and personality recognition using commercial sensors

  Subramanian, R., Wache, J., Abadi, M. K., Vieriu, R. L., Winkler, S. & Sebe, N., Apr 2018, In: IEEE Transactions on Affective Computing. 9, 2, p. 147-160 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Sensors 100%
  • Electrocardiography 96%
  • Electroencephalography 93%
  • Skin 84%
  • Statistics 73%
  336 Citations (Scopus)

• AVEID: Automatic video system for measuring engagement in dementia

  Parekh, V., Foong, P. S., Zhao, S. & Subramanian, R., 5 Mar 2018, p. 409-413. 5 p.

  Research output: Contribution to conference (non-published works) › Paper › peer-review

  • Personnel 100%
  • Costs 50%
  15 Citations (Scopus)

• Investigating the generalizability of EEG-based cognitive load estimation across visualizations

  Parekh, V., Jawahar, C. V., Subramanian, R., Bilalpur, M., Winkler, S. & Kumar, S., 16 Oct 2018, ICMI '18: Proceedings of the 20th International Conference on Multimodal Interaction. p. 1-5 5 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Electroencephalography 100%
  • Visualization 79%
  • Deep neural networks 50%
  • Convolutional neural networks 47%
  • Support vector machines 41%
  2 Citations (Scopus)

• Joint Estimation of Human Pose and Conversational Groups from Social Scenes

  Varadarajan, J., Subramanian, R., Bulò, S. R., Ahuja, N., Lanz, O. & Ricci, E., 1 Apr 2018, In: International Journal of Computer Vision. 126, 2-4, p. 410-429 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Supervised learning 100%
  • Learning algorithms 78%
  • Cameras 66%
  • Experiments 33%
  27 Citations (Scopus)

• Looking beyond a clever narrative: Visual context and attention are primary drivers of affect in video advertisements

  Shukla, A., Kankanhalli, M., Katti, H. & Subramanian, R., 2 Oct 2018, Proceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI 2018). D’Mello, S. K., Georgiou, P., Scherer, S., Provost, E. M., Soleymani, M. & Worsley, M. (eds.). United States: Association for Computing Machinery (ACM), p. 210-219 10 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Hinges 100%
  • Linguistics 89%
  • Statistics 71%
  11 Citations (Scopus)

• Watch to edit: Video retargeting using gaze

  Rachavarapu, K. K., Kumar, M., Gandhi, V. & Subramanian, R., 22 May 2018, In: Computer Graphics Forum. 37, 2, p. 205-215 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Watches 100%
  • Cameras 56%
  • Video recording 50%
  • Eye tracking 46%
  • Convex optimization 42%
  23 Citations (Scopus)
• 2017

  Active online anomaly detection using dirichlet process mixture model and Gaussian process classification

  Varadarajan, J., Subramanian, R., Ahuja, N., Moulin, P. & Odobez, J. M., 11 May 2017, Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017. Medioni, G., Michael, D., Sanderson, C. & Turk, M. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 615-623 9 p. 7926657. (Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Anomaly detection 100%
  • Labeling 46%
  • Problem-Based Learning 27%
  • Unsupervised learning 27%
  • Video streaming 26%
  15 Citations (Scopus)

• Affect recognition in ads with application to computational advertising

  Shukla, A., Gullapuram, S. S., Katti, H., Yadati, K., Kankanhalli, M. & Subramanian, R., 23 Oct 2017, MM 2017 - Proceedings of the 2017 ACM Multimedia Conference. Liu, Q., Lienhart, R. & Wang, H. (eds.). United States: Association for Computing Machinery (ACM), p. 1148-1156 9 p. (MM 2017 - Proceedings of the 2017 ACM Multimedia Conference).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Marketing 100%
  • Convolutional neural networks 94%
  • Audiovisual 59%
  18 Citations (Scopus)

• A Probabilistic Approach to People-Centric Photo Selection and Sequencing

  Vonikakis, V., Subramanian, R., Arnfred, J. & Winkler, S., Nov 2017, In: IEEE Transactions on Multimedia. 19, 11, p. 2609-2624 16 p., 7914701.

  Research output: Contribution to journal › Article › peer-review

  • Crowdsourcing 100%
  • Inductive logic programming (ILP) 56%
  • Linear programming 39%
  19 Citations (Scopus)

• Comparison of human and machine performance for copy-move image forgery detection involving similar but genuine objects

  Zhu, Y., Subramanian, R., Ng, T. T., Winkler, S. & Ratnam, R., 8 Feb 2017, Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Kappagantu, R., Alphones, A., Gupta, R. & Ong, MI. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1379-1383 5 p. 7848240. (IEEE Region 10 Annual International Conference, Proceedings/TENCON; vol. 0).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Eye tracking 100%
  1 Citation (Scopus)

• Discovering gender differences in facial emotion recognition via implicit behavioral cues

  Bilalpur, M., Kia, S. M., Chua, T. S. & Subramanian, R., 2 Jul 2017, 2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017. Busso, C. & Epps, J. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 119-124 6 p. (2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017; vol. 2018-January).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Electroencephalography 100%
  • Masks 98%
  • Psychology Recognition 91%
  • Cues 90%
  • gender-specific factors 83%
  9 Citations (Scopus)

• Evaluating content-centric vs. user-centric ad affect recognition

  Shukla, A., Gullapuram, S. S., Katti, H., Yadati, K., Kankanhalli, M. & Subramanian, R., 3 Nov 2017, ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction. Lank, E., Hoggan, E., Subramanian, S., Vinciarelli, A. & Brewster, S. A. (eds.). United States: Association for Computing Machinery (ACM), p. 402-410 9 p. (ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction; vol. 2017-January).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Marketing 100%
  • Electroencephalography 99%
  • Convolutional neural networks 94%
  14 Citations (Scopus)

• Exploring Multitask and Transfer Learning Algorithms for Head Pose Estimation in Dynamic Multiview Scenarios

  Ricci, E., Yan, Y., Rajagopal, A. K., Subramanian, R., Vieriu, R. L., Lanz, O. & Sebe, N., 1 Jan 2017, Group and Crowd Behavior for Computer Vision. Murino, V., Cristani, M., Shah, S. & Savarese, S. (eds.). United States: Academic Press, p. 67-87 21 p.

  Research output: A Conference proceeding or a Chapter in Book › Chapter › peer-review

  • Multi-task learning 100%
  • Transfer learning 88%
  • Learning algorithms 61%
  • Cameras 35%
  • Computer vision 21%

• Eye contact detection via deep neural networks

  Parekh, V., Subramanian, R. & Jawahar, C. V., 2017, p. 366-374. 9 p.

  Research output: Contribution to conference (non-published works) › Abstract

  • Deep neural networks 100%
  • Neural Networks 96%
  • Contact 87%
  • Convolutional neural networks 62%
  • Data Preprocessing 42%
  9 Citations (Scopus)

• Gender and emotion recognition with implicit user signals

  Bilalpur, M., Kia, S. M., Chawla, M., Chua, T. S. & Subramanian, R., 3 Nov 2017, ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction. Lank, E., Hoggan, E., Subramanian, S., Vinciarelli, A. & Brewster, S. A. (eds.). United States: Association for Computing Machinery (ACM), p. 379-387 9 p. (ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction; vol. 2017-January).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Electroencephalography 100%
  • Eye movements 38%
  • Brain 28%
  • Costs 13%
  • Experiments 12%
  25 Citations (Scopus)

• SALSA: A Multimodal Dataset for the Automated Analysis of Free-Standing Social Interactions

  Alameda-Pineda, X., Subramanian, R., Ricci, E., Lanz, O. & Sebe, N., 1 Jan 2017, Group and Crowd Behavior for Computer Vision. Academic Press, p. 321-340 20 p. (Group and Crowd Behavior for Computer Vision).

  Research output: A Conference proceeding or a Chapter in Book › Chapter › peer-review

  • Sociology 100%
  • Reverberation 87%
  • Bluetooth 74%
  • Microphones 73%
  • Computer science 70%
  4 Citations (Scopus)
• 2016

  Active domain adaptation with noisy labels for multimedia analysis

  Liu, G., Yan, Y., Subramanian, R., Song, J., Lu, G. & Sebe, N., Mar 2016, In: World Wide Web. 19, 2, p. 199-215 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Labeled data 100%
  • Problem-Based Learning 98%
  • Labels 72%
  • Supervised learning 30%
  • Tuning 22%
  6 Citations (Scopus)