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Ramanathan Subramanian
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2020 – today
- 2024
[j23]Neil Kumar Shah, Neha Sahipjohn
, Vishal Tambrahalli, Ramanathan Subramanian, Vineet Gandhi:
StethoSpeech: Speech Generation Through a Clinical Stethoscope Attached to the Skin. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(3): 123:1-123:21 (2024)- [e1]Jianfei Cai, Mohan S. Kankanhalli, Balakrishnan Prabhakaran, Susanne Boll, Ramanathan Subramanian, Liang Zheng, Vivek K. Singh, Pablo César, Lexing Xie, Dong Xu:
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-0686-8 [contents] - [i40]Gulshan Sharma, Surbhi Madan, Maneesh Bilalpur, Abhinav Dhall, Ramanathan Subramanian:
EEG-based Cognitive Load Estimation of Acoustic Parameters for Data Sonification. CoRR abs/2401.08164 (2024) - [i39]Soujanya Narayana, Ibrahim Radwan, Ramanathan Subramanian, Roland Goecke:
Mood as a Contextual Cue for Improved Emotion Inference. CoRR abs/2402.08413 (2024) - [i38]Surbhi Madan, Shreya Ghosh, Lownish Rai Sookha, M. A. Ganaie, Ramanathan Subramanian, Abhinav Dhall, Tom Gedeon:
MIP-GAF: A MLLM-annotated Benchmark for Most Important Person Localization and Group Context Understanding. CoRR abs/2409.06224 (2024) - 2023
- [j22]Devika Kuttala, Ramanathan Subramanian, Venkata Ramana Murthy Oruganti:
Multimodal Hierarchical CNN Feature Fusion for Stress Detection. IEEE Access 11: 6867-6878 (2023) - [j21]Radhika Kuttala, Ramanathan Subramanian, Venkata Ramana Murthy Oruganti:
Hierarchical Autoencoder Frequency Features for Stress Detection. IEEE Access 11: 103232-103241 (2023) - [c68]Soujanya Narayana, Ibrahim Radwan, Ravikiran Parameshwara, Iman Abbasnejad, Akshay Asthana, Ramanathan Subramanian, Roland Goecke:
A Weakly Supervised Approach to Emotion-change Prediction and Improved Mood Inference. ACII 2023: 1-8 - [c67]Ravikiran Parameshwara, Ibrahim Radwan, Ramanathan Subramanian, Roland Goecke:
Examining Subject-Dependent and Subject-Independent Human Affect Inference from Limited Video Data. FG 2023: 1-6 - [c66]Blooma John, Ramanathan Subramanian, Jayan Chirayath Kurian:
Design and Evaluation of a Virtual Reality Game to Improve Physical and Cognitive Acuity. ICIS 2023 - [c65]Monika Gahalawat, Raul Fernandez Rojas, Tanaya Guha, Ramanathan Subramanian, Roland Goecke:
Explainable Depression Detection via Head Motion Patterns. ICMI 2023: 261-270 - [c64]Harshit Malik, Hersh Dhillon, Ravikiran Parameshwara, Roland Goecke, Ramanathan Subramanian:
Examining the Influence of Personality and Multimodal Behavior on Hireability Impressions. ICVGIP 2023: 27:1-27:9 - [c63]Ravikiran Parameshwara, Ibrahim Radwan, Akshay Asthana, Iman Abbasnejad, Ramanathan Subramanian, Roland Goecke:
Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning. ACM Multimedia 2023: 6161-6170 - [c62]Surbhi Madan, Rishabh Jain, Gulshan Sharma, Ramanathan Subramanian, Abhinav Dhall:
MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings. ACM Multimedia 2023: 9526-9530 - [i37]Surbhi Madan, Monika Gahalawat, Tanaya Guha, Roland Goecke, Ramanathan Subramanian:
Explainable Human-centered Traits from Head Motion and Facial Expression Dynamics. CoRR abs/2302.09817 (2023) - [i36]Soujanya Narayana, Ramanathan Subramanian, Ibrahim Radwan, Roland Goecke:
Focus on Change: Mood Prediction by Learning Emotion Changes via Spatio-Temporal Attention. CoRR abs/2303.06632 (2023) - [i35]Soujanya Narayana, Ibrahim Radwan, Ravikiran Parameshwara, Iman Abbasnejad, Akshay Asthana, Ramanathan Subramanian, Roland Goecke:
A Weakly Supervised Approach to Emotion-change Prediction and Improved Mood Inference. CoRR abs/2306.06979 (2023) - [i34]Monika Gahalawat, Raul Fernandez Rojas, Tanaya Guha, Ramanathan Subramanian, Roland Goecke:
Explainable Depression Detection via Head Motion Patterns. CoRR abs/2307.12241 (2023) - [i33]Blooma John, Ramanathan Subramanian, Jayan Chirayath Kurian:
A Virtual Reality Game to Improve Physical and Cognitive Acuity. CoRR abs/2308.01492 (2023) - [i32]Ravikiran Parameshwara, Ibrahim Radwan, Akshay Asthana, Iman Abbasnejad, Ramanathan Subramanian, Roland Goecke:
Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning. CoRR abs/2308.02173 (2023) - [i31]Surbhi Madan, Rishabh Jain, Gulshan Sharma, Ramanathan Subramanian, Abhinav Dhall:
MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings. CoRR abs/2309.10765 (2023) - 2022
- [j20]Devika Kuttala, Dwarikanath Mahapatra, Ramanathan Subramanian, Venkata Ramana Murthy Oruganti:
Outlier-Based Autism Detection Using Longitudinal Structural MRI. IEEE Access 10: 27794-27808 (2022) - [j19]K. Radhika, Ramanathan Subramanian, Venkata Ramana Murthy Oruganti:
Joint Modality Features in Frequency Domain for Stress Detection. IEEE Access 10: 57201-57211 (2022) - [j18]Devika Kuttala, Dwarikanath Mahapatra, Ramanathan Subramanian, Venkata Ramana Murthy Oruganti:
Dense attentive GAN-based one-class model for detection of autism and ADHD. J. King Saud Univ. Comput. Inf. Sci. 34(10, Part B): 10444-10458 (2022) - [j17]Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti, Mohan S. Kankanhalli, Stefan Winkler, Ramanathan Subramanian:
Recognition of Advertisement Emotions With Application to Computational Advertising. IEEE Trans. Affect. Comput. 13(2): 781-792 (2022) - [c61]Pankaj Pandey, Gulshan Sharma, Krishna P. Miyapuram, Ramanathan Subramanian, Derek Lomas:
Music Identification Using Brain Responses to Initial Snippets. ICASSP 2022: 1246-1250 - [c60]Soujanya Narayana, Ramanathan Subramanian, Ibrahim Radwan, Roland Goecke:
To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion. ICMI Companion 2022: 36-41 - [c59]Gulshan Sharma, Pankaj Pandey, Ramanathan Subramanian, Krishna Prasad Miyapuram, Abhinav Dhall:
Neural Encoding of Songs is Modulated by Their Enjoyment. ICMI 2022: 414-419 - [c58]Gulshan Sharma, Abhinav Dhall, Ramanathan Subramanian:
A Transformer Based Approach for Activity Detection. ACM Multimedia 2022: 7155-7159 - [i30]Devika Kuttala, Venkata Ramana Murthy Oruganti, Dwarikanath Mahapatra, Ramanathan Subramanian:
Outlier-based Autism Detection using Longitudinal Structural MRI. CoRR abs/2202.09988 (2022) - [i29]Ravikiran Parameshwara, Soujanya Narayana, Murugappan Murugappan, Ramanathan Subramanian, Ibrahim Radwan, Roland Goecke:
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals. CoRR abs/2202.12936 (2022) - [i28]Soujanya Narayana, Shweta Jain, Harish Katti, Roland Goecke, Ramanathan Subramanian:
Affective Computational Advertising Based on Perceptual Metrics. CoRR abs/2207.07297 (2022) - [i27]Gulshan Sharma, Pankaj Pandey, Ramanathan Subramanian, Krishna P. Miyapuram, Abhinav Dhall:
Neural Encoding of Songs is Modulated by Their Enjoyment. CoRR abs/2208.06679 (2022) - [i26]Soujanya Narayana, Ramanathan Subramanian, Ibrahim Radwan, Roland Goecke:
To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion. CoRR abs/2210.00719 (2022) - 2021
- [c57]Surbhi Madan, Monika Gahalawat, Tanaya Guha, Ramanathan Subramanian:
Head Matters: Explainable Human-centered Trait Prediction from Head Motion Dynamics. ICMI 2021: 435-443 - [c56]Samyak Jain, Pradeep Yarlagadda, Shreyank Jyoti, Shyamgopal Karthik, Ramanathan Subramanian, Vineet Gandhi:
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction. IROS 2021: 3520-3527 - [c55]Vineet Mehta, Parul Gupta, Ramanathan Subramanian, Abhinav Dhall:
FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios. IUI Companion 2021: 61-63 - [c54]Abhineet Pandey, Bhawna Paliwal, Abhinav Dhall, Ramanathan Subramanian, Dwarikanath Mahapatra:
This Explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks. iMIMIC/TDA4MedicalData@MICCAI 2021: 34-43 - [i25]Vineet Mehta, Parul Gupta, Ramanathan Subramanian, Abhinav Dhall:
FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios. CoRR abs/2101.03321 (2021) - [i24]Surbhi Madan, Monika Gahalawat, Tanaya Guha, Ramanathan Subramanian:
Head Matters: Explainable Human-centered Trait Prediction from Head Motion Dynamics. CoRR abs/2112.08068 (2021) - [i23]Ramanathan Subramanian, Yan Yan, Nicu Sebe:
Expert and Crowd-Guided Affect Annotation and Prediction. CoRR abs/2112.08432 (2021) - 2020
- [c53]K. L. Bhanu Moorthy, Moneish Kumar, Ramanathan Subramanian, Vineet Gandhi:
GAZED- Gaze-guided Cinematic Editing of Wide-Angle Monocular Video Recordings. CHI 2020: 1-11 - [c52]Ramanathan Subramanian, Jeslin Puthenparambil:
Shared Memory Enabled Service Plane Optimization. COMSNETS 2020: 683-684 - [c51]Parul Gupta, Komal Chugh, Abhinav Dhall, Ramanathan Subramanian:
The eyes know it: FakeET- An Eye-tracking Database to Understand Deepfake Perception. ICMI 2020: 519-527 - [c50]Komal Chugh, Parul Gupta, Abhinav Dhall, Ramanathan Subramanian:
Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization. ACM Multimedia 2020: 439-447 - [c49]K. L. Bhanu Moorthy, Moneish Kumar, Ramanathan Subramanian, Vineet Gandhi:
GAZED - Gaze-guided Cinematic Editing of Wide-Angle Monocular Video Recordings. WICED@Eurographics/EuroVis 2020: 35-36 - [i22]Komal Chugh, Parul Gupta, Abhinav Dhall, Ramanathan Subramanian:
Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization. CoRR abs/2005.14405 (2020) - [i21]Parul Gupta, Komal Chugh, Abhinav Dhall, Ramanathan Subramanian:
The eyes know it: FakeET - An Eye-tracking Database to Understand Deepfake Perception. CoRR abs/2006.06961 (2020) - [i20]Harshit Malik, Hersh Dhillon, Roland Goecke, Ramanathan Subramanian:
Characterizing Hirability via Personality and Behavior. CoRR abs/2006.12041 (2020) - [i19]Maneesh Bilalpur, Seyed Mostafa Kia, Mohan S. Kankanhalli, Ramanathan Subramanian:
Gender and Emotion Recognition from Implicit User Behavior Signals. CoRR abs/2006.13386 (2020) - [i18]K. L. Bhanu Moorthy, Moneish Kumar, Ramanathan Subramanian, Vineet Gandhi:
GAZED- Gaze-guided Cinematic Editing of Wide-Angle Monocular Video Recordings. CoRR abs/2010.11886 (2020) - [i17]Samyak Jain, Pradeep Yarlagadda, Ramanathan Subramanian, Vineet Gandhi:
AViNet: Diving Deep into Audio-Visual Saliency Prediction. CoRR abs/2012.06170 (2020)
2010 – 2019
- 2019
- [i16]Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti, Mohan S. Kankanhalli, Stefan Winkler, Ramanathan Subramanian:
Recognition of Advertisement Emotions with Application to Computational Advertising. CoRR abs/1904.01778 (2019) - 2018
- [j16]Kranthi Kumar Rachavarapu, Moneish Kumar, Vineet Gandhi, Ramanathan Subramanian:
Watch to Edit: Video Retargeting using Gaze. Comput. Graph. Forum 37(2): 205-215 (2018) - [j15]Jagannadan Varadarajan, Ramanathan Subramanian, Samuel Rota Bulò, Narendra Ahuja, Oswald Lanz, Elisa Ricci:
Joint Estimation of Human Pose and Conversational Groups from Social Scenes. Int. J. Comput. Vis. 126(2-4): 410-429 (2018) - [j14]Ramanathan Subramanian, Julia Wache, Mojtaba Khomami Abadi, Radu L. Vieriu, Stefan Winkler, Nicu Sebe:
ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors. IEEE Trans. Affect. Comput. 9(2): 147-160 (2018) - [c48]Viral Parekh, Maneesh Bilalpur, C. V. Jawahar, Sharavan Kumar, Stefan Winkler, Ramanathan Subramanian:
Investigating the generalizability of EEG-based cognitive load estimation across visualizations. ICMI (adjunct) 2018: 9:1-9:5 - [c47]Abhinav Shukla, Harish Katti, Mohan S. Kankanhalli, Ramanathan Subramanian:
Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements. ICMI 2018: 210-219 - [c46]Maneesh Bilalpur, Mohan S. Kankanhalli, Stefan Winkler, Ramanathan Subramanian:
EEG-based Evaluation of Cognitive Workload Induced by Acoustic Parameters for Data Sonification. ICMI 2018: 315-323 - [c45]Viral Parekh, Pin Sym Foong, Shengdong Zhao, Ramanathan Subramanian:
AVEID: Automatic Video System for Measuring Engagement In Dementia. IUI 2018: 409-413 - [p3]Subramanian Ramanathan, Syed Omer Gilani, Nicu Sebe:
Utilizing implicit user cues for multimedia analytics. Frontiers of Multimedia Research 2018: 219-251 - [i15]Kranthi Kumar Rachavarapu, Moneish Kumar, Vineet Gandhi, Ramanathan Subramanian:
Watch to Edit: Video Retargeting using Gaze. CoRR abs/1807.03125 (2018) - [i14]Abhinav Shukla, Harish Katti, Mohan S. Kankanhalli, Ramanathan Subramanian:
Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements. CoRR abs/1808.04610 (2018) - [i13]Maneesh Bilalpur, Mohan S. Kankanhalli, Stefan Winkler, Ramanathan Subramanian:
EEG-based Evaluation of Cognitive Workload Induced by Acoustic Parameters for Data Sonification. CoRR abs/1808.06055 (2018) - [i12]Viral Parekh, Maneesh Bilalpur, Sharavan Kumar, Stefan Winkler, C. V. Jawahar, Ramanathan Subramanian:
Investigating the generalizability of EEG-based Cognitive Load Estimation Across Visualizations. CoRR abs/1809.04507 (2018) - 2017
- [j13]Vassilios Vonikakis, Ramanathan Subramanian, Jonas Toft Arnfred, Stefan Winkler:
A Probabilistic Approach to People-Centric Photo Selection and Sequencing. IEEE Trans. Multim. 19(11): 2609-2624 (2017) - [c44]Maneesh Bilalpur, Seyed Mostafa Kia, Tat-Seng Chua, Ramanathan Subramanian:
Discovering gender differences in facial emotion recognition via implicit behavioral cues. ACII 2017: 119-124 - [c43]Viral Parekh, Ramanathan Subramanian, C. V. Jawahar:
Eye Contact Detection via Deep Neural Networks. HCI (29) 2017: 366-374 - [c42]Maneesh Bilalpur, Seyed Mostafa Kia, Manisha Chawla, Tat-Seng Chua, Ramanathan Subramanian:
Gender and emotion recognition with implicit user signals. ICMI 2017: 379-387 - [c41]Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti, Karthik Yadati, Mohan S. Kankanhalli, Ramanathan Subramanian:
Evaluating content-centric vs. user-centric ad affect recognition. ICMI 2017: 402-410 - [c40]Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti, Karthik Yadati, Mohan S. Kankanhalli, Ramanathan Subramanian:
Affect Recognition in Ads with Application to Computational Advertising. ACM Multimedia 2017: 1148-1156 - [c39]Viral Parekh, Ramanathan Subramanian, Dipanjan Roy, C. V. Jawahar:
An EEG-Based Image Annotation System. NCVPRIPG 2017: 303-313 - [c38]Jagannadan Varadarajan, Ramanathan Subramanian, Narendra Ahuja, Pierre Moulin, Jean-Marc Odobez:
Active Online Anomaly Detection Using Dirichlet Process Mixture Model and Gaussian Process Classification. WACV 2017: 615-623 - [p2]Elisa Ricci, Yan Yan, Anoop Kolar Rajagopal, Ramanathan Subramanian, Radu L. Vieriu, Oswald Lanz, Nicu Sebe:
Exploring Multitask and Transfer Learning Algorithms for Head Pose Estimation in Dynamic Multiview Scenarios. Group and Crowd Behavior for Computer Vision 2017: 67-87 - [p1]Xavier Alameda-Pineda, Ramanathan Subramanian, Elisa Ricci, Oswald Lanz, Nicu Sebe:
SALSA: A Multimodal Dataset for the Automated Analysis of Free-Standing Social Interactions. Group and Crowd Behavior for Computer Vision 2017: 321-340 - [i11]Angela Sara Cacciapuoti, Ramanathan Subramanian, Kaushik Roy Chowdhury, Marcello Caleffi:
Software-Defined Network Controlled Switching between Millimeter Wave and Terahertz Small Cells. CoRR abs/1702.02775 (2017) - [i10]Maneesh Bilalpur, Seyed Mostafa Kia, Tat-Seng Chua, Ramanathan Subramanian:
Discovering Gender Differences in Facial Emotion Recognition via Implicit Behavioral Cues. CoRR abs/1708.08729 (2017) - [i9]Maneesh Bilalpur, Seyed Mostafa Kia, Manisha Chawla, Tat-Seng Chua, Ramanathan Subramanian:
Gender and Emotion Recognition with Implicit User Signals. CoRR abs/1708.08735 (2017) - [i8]Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti, Karthik Yadati, Mohan S. Kankanhalli, Ramanathan Subramanian:
Affect Recognition in Ads with Application to Computational Advertising. CoRR abs/1709.01683 (2017) - [i7]Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti, Karthik Yadati, Mohan S. Kankanhalli, Ramanathan Subramanian:
Evaluating Content-centric vs User-centric Ad Affect Recognition. CoRR abs/1709.01684 (2017) - [i6]Viral Parekh, Ramanathan Subramanian, Dipanjan Roy, C. V. Jawahar:
An EEG-based Image Annotation System. CoRR abs/1711.02383 (2017) - [i5]Viral Parekh, Pin Sym Foong, Shengdong Zhao, Ramanathan Subramanian:
AVEID: Automatic Video System for Measuring Engagement In Dementia. CoRR abs/1712.08084 (2017) - 2016
- [j12]Ramanathan Subramanian, Benjamin Drozdenko, Eric Doyle, Rameez Ahmed, Miriam Leeser, Kaushik Roy Chowdhury:
High-Level System Design of IEEE 802.11b Standard-Compliant Link Layer for MATLAB-Based SDR. IEEE Access 4: 1494-1509 (2016) - [j11]Yan Yan, Elisa Ricci, Ramanathan Subramanian, Gaowen Liu, Oswald Lanz, Nicu Sebe:
A Multi-Task Learning Framework for Head Pose Estimation under Target Motion. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1070-1083 (2016) - [j10]Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian, Ligia Maria Batrinca, Elisa Ricci, Bruno Lepri, Oswald Lanz, Nicu Sebe:
SALSA: A Novel Dataset for Multimodal Group Behavior Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1707-1720 (2016) - [j9]Gaowen Liu, Yan Yan, Ramanathan Subramanian, Jingkuan Song, Guoyu Lu, Nicu Sebe:
Active domain adaptation with noisy labels for multimedia analysis. World Wide Web 19(2): 199-215 (2016) - [c37]Ramanathan Subramanian, Eric Doyle, Benjamin Drozdenko, Miriam Leeser, Kaushik R. Chowdhury:
State-Action Based Link Layer Design for IEEE 802.11b Compliant MATLAB-Based SDR. DCOSS 2016: 193-198 - [c36]Bihan Wen, Ye Zhu, Ramanathan Subramanian, Tian-Tsong Ng, Xuanjing Shen, Stefan Winkler:
COVERAGE - A novel database for copy-move forgery detection. ICIP 2016: 161-165 - [c35]Vassilios Vonikakis, Ramanathan Subramanian, Stefan Winkler:
Shaping datasets: Optimal data selection for specific target distributions across dimensions. ICIP 2016: 3753-3757 - [i4]Syed Omer Gilani, Ramanathan Subramanian, Yan Yan, David Melcher, Nicu Sebe, Stefan Winkler:
PET: An Eye-tracking Dataset for Animal-centric PASCAL Object Classes. CoRR abs/1604.01574 (2016) - [i3]Ramanathan Subramanian, Benjamin Drozdenko, Eric Doyle, Rameez Ahmed, Miriam Leeser, Kaushik R. Chowdhury:
High-Level System Design of IEEE 802.11b Standard-Compliant Link Layer for MATLAB-Based SDR. CoRR abs/1604.07881 (2016) - [i2]Ramanathan Subramanian, Rómer Rosales, Glenn Fung, Jennifer G. Dy:
Evaluating Crowdsourcing Participants in the Absence of Ground-Truth. CoRR abs/1605.09432 (2016) - 2015
- [j8]Mojtaba Khomami Abadi, Ramanathan Subramanian, Seyed Mostafa Kia, Paolo Avesani, Ioannis Patras, Nicu Sebe:
DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses. IEEE Trans. Affect. Comput. 6(3): 209-222 (2015) - [c34]Benjamin Drozdenko, Ramanathan Subramanian, Kaushik R. Chowdhury, Miriam Leeser:
Implementing a MATLAB-Based Self-configurable Software Defined Radio Transceiver. CrownCom 2015: 164-175 - [c33]Elisa Ricci, Jagannadan Varadarajan, Ramanathan Subramanian, Samuel Rota Bulò, Narendra Ahuja, Oswald Lanz:
Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos. ICCV 2015: 4660-4668 - [c32]Anoop Kolar Rajagopal, Ramanathan Subramanian, Vassilios Vonikakis, K. R. Ramakrishnan, Stefan Winkler:
On the utility of canonical correlation analysis for domain adaptation in multi-view headpose estimation. ICIP 2015: 4708-4712 - [c31]Syed Omer Gilani, Ramanathan Subramanian, Yan Yan, David Melcher, Nicu Sebe, Stefan Winkler:
PET: An eye-tracking dataset for animal-centric Pascal object classes. ICME 2015: 1-6 - [c30]Julia Wache, Ramanathan Subramanian, Mojtaba Khomami Abadi, Radu-Laurentiu Vieriu, Nicu Sebe, Stefan Winkler:
Implicit User-centric Personality Recognition Based on Physiological Responses to Emotional Videos. ICMI 2015: 239-246 - [c29]Ramanathan Subramanian, Jagannadan Varadarajan, Elisa Ricci, Oswald Lanz, Stefan Winkler:
Jointly Estimating Interactions and Head, Body Pose of Interactors from Distant Social Scenes. ACM Multimedia 2015: 835-838 - [i1]Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian, Ligia Maria Batrinca, Elisa Ricci, Bruno Lepri, Oswald Lanz, Nicu Sebe:
SALSA: A Novel Dataset for Multimodal Group Behavior Analysis. CoRR abs/1506.06882 (2015) - 2014
- [j7]Anoop Kolar Rajagopal, Subramanian Ramanathan, Elisa Ricci, Radu L. Vieriu, Oswald Lanz, Kalpathi Ramakrishnan, Nicu Sebe:
Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images. Int. J. Comput. Vis. 109(1-2): 146-167 (2014) - [j6]Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy:
Learning from multiple annotators with varying expertise. Mach. Learn. 95(3): 291-327 (2014) - [j5]Yan Yan, Elisa Ricci, Ramanathan Subramanian, Gaowen Liu, Nicu Sebe:
Multitask Linear Discriminant Analysis for View Invariant Action Recognition. IEEE Trans. Image Process. 23(12): 5599-5611 (2014) - [c28]Xiaojun Meng, Shengdong Zhao, Yongfeng Huang, Zhongyuan Zhang, James Eagan, Ramanathan Subramanian:
WADE: simplified GUI add-on development for third-party software. CHI 2014: 2221-2230 - [c27]Stefan Winkler, Florian M. Savoy, Ramanathan Subramanian:
X-Eye: A reference format for eye tracking data to facilitate analyses across databases. Human Vision and Electronic Imaging 2014: 90140L - [c26]Yan Yan, Elisa Ricci, Gaowen Liu, Ramanathan Subramanian, Nicu Sebe:
Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition. ICPR 2014: 3493-3498 - [c25]Yan Yan, Ramanathan Subramanian, Elisa Ricci, Oswald Lanz, Nicu Sebe:
Evaluating Multi-task Learning for Multi-view Head-Pose Classification in Interactive Environments. ICPR 2014: 4182-4187 - [c24]Vassilios Vonikakis, Ramanathan Subramanian, Jonas Toft Arnfred, Stefan Winkler:
Modeling Image Appeal Based on Crowd Preferences for Automated Person-Centric Collage Creation. CrowdMM 2014: 9-15 - [c23]Mojtaba Khomami Abadi, Azad Abad, Ramanathan Subramanian, Negar Rostamzadeh, Elisa Ricci, Jagannadan Varadarajan, Nicu Sebe:
A Multi-task Learning Framework for Time-continuous Emotion Estimation from Crowd Annotations. CrowdMM 2014: 17-23 - 2013
- [c22]Mojtaba Khomami Abadi, Seyed Mostafa Kia, Subramanian Ramanathan, Paolo Avesani, Nicu Sebe:
User-centric Affective Video Tagging from MEG and Peripheral Physiological Responses. ACII 2013: 582-587 - [c21]