Publications

2022
On Causally Disentangled Representations
A Gowtham Reddy, Benin Godfrey, Vineeth N Balasubramanian
Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI’22), Feb 2022
Paper
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
Saloni Dash, V Balasubramanian, Amit Sharma
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’22), Jan 2022
Paper
COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains
Puneet Mangla, Shivam Chandhok, Vineeth N Balasubramanian, Fahad S Khan
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’22), Jan 2022
Paper
Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise
Anirban Sarkar, Anindya Sarkar, V. Balasubramanian
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’22), Jan 2022
(Also presented at Workshop on Adversarial Robustness In The Real World, IEEE-CVF International Conference on Computer Vision (ICCVW’21), Oct 2021)
Paper
Data InStance Prior (DISP) in Generative Adversarial Networks
Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N Balasubramanian
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’22), Jan 2022
Paper
Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg, Rohit Saluja, V N Balasubramanian, Chetan Arora, Anbumani S, C. V. Jawahar
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’22), Jan 2022
Paper
FLUID: Few-Shot Self-Supervised Image Deraining
Shyam Nandan Rai, Chetan Arora, V N Balasubramanian, Anbumani S, Rohit Saluja, C. V. Jawahar
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’22), Jan 2022
Paper
To mis-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors
Vaishnavi Khindkar, Chetan Arora, V N Balasubramanian, Anbumani S, Rohit Saluja, C. V. Jawahar
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’22), Jan 2022
Paper
2021
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach
Anindya Sarkar, Anirban Sarkar, Sowrya Gali, V. Balasubramanian
Proceedings of Neural Information Processing Systems (NeurIPS'21), Dec 2021
Paper
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
Sandesh Kamath, Amit Deshpande, K V Subrahmanyam, V. Balasubramanian
Proceedings of Neural Information Processing Systems (NeurIPS'21), Dec 2021
Paper
Incremental Object Detection via Meta-Learning
K J Joseph, Jathushan R, Salman Khan, Fahad Khan, V. Balasubramanian
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (Accepted, To Appear) (Impact Factor: 16.39)
Paper Code
Canonical Saliency Maps: Decoding Deep Face Models
Thrupthi A John, V. Balasubramanian, C V Jawahar
IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021 (Accepted, To Appear)
Paper
Efficient Maize Tassel-Detection Method using UAV based Remote Sensing
Ajay Kumar, Sai Vikas Desai, V. Balasubramanian, Wei Guo, Seishi Ninomiya, Uday Desai, P Rajalakshmi
Elsevier Remote Sensing Applications: Society and Environment, 2021 (To Appear)
Paper
CANDLE: An Image Dataset for CausalANalysis in DisentangLed REpresentations
A Gowtham Reddy, Benin Godfrey, V. Balasubramanian
Workshop on Causality in Vision, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’21), Jun 2021 (Best Paper Award)
Paper Code
Towards Open-World Object Detection
Joseph K J, Salman Khan, Fahad Khan, V. Balasubramanian
Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’21), Jun 2021 (Oral Paper)
Paper Code Project Page
On the Benefits of Defining Vicinal Distributions in Latent Space
Puneet Mangla, Vedant Singh, Shreyas Havaldar, V. Balasubramanian
Workshops on Robust and Reliable Machine Learning in the Real World Workshop (RobustML) and Responsible AI at International Conference on Learning Representations (ICLR’21), May 2021 (Best Paper Award)
Adversarial Robustness: A Neural Architecture Search Perspective
Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, V. Balasubramanian
Workshops on Neural Architecture Search and From Shallow to Deep: Overcoming Limited and Adverse Data (S2D-OLAD) at International Conference on Learning Representations (ICLR’21), May 2021
Paper
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization
Adepu Ravi Sankar, Yash Khasbage, Rahul V, V. Balasubramanian
Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI’21), Feb 2021
Paper
Enhanced Regularizers for Attributional Robustness
Anindya Sarkar, Anirban Sarkar, V. Balasubramanian
Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI’21), Feb 2021
Paper
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning
Shivam Chandhok, V Balasubramanian
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’21), Jan 2021
Paper
2020
Meta-Consolidation for Continual Learning
Joseph K J, V. Balasubramanian
Proceedings of Neural Information Processing Systems (NeurIPS’20), Dec 2020.
Paper
On Initial Pools for Deep Active Learning
Akshay L Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, V. Balasubramanian
NeurIPS 2020 Workshop on Pre-registration in Machine Learning, Proceedings of Machine Learning Research, 148:14-32, 2021
Paper Code
DANTE: Deep Alternations for Training Neural Networks
Vaibhav Sinha, Sneha Kudugunta, Adepu Ravi Sankar, Surya Teja Chavali, V. Balasubramanian
Elsevier Neural Networks, Jul 2020. (Impact Factor: 5.5)
Paper
Zero-shot Domain Generalization
Udit Maniyar, Joseph K J, Aniket Deshmukh, Urun Dogan, V. Balasubramanian
Proceedings of British Machine Vision Conference (BMVC’20), Sep 2020. (Also presented at Workshop on Visual Learning with Limited Labels, IEEE-CVF International Conference on Computer Vision and Pattern Recognition (CVPR’20), Jun 2020)
Paper
Spatial Feedback Learning to Improve Semantic Segmentation in Hot Weather
Shyam Nandan R., Anbumani S., V. Balasubramanian, C V Jawahar
Proceedings of British Machine Vision Conference (BMVC’20), Sep 2020.
Paper
Attributional Robustness Training using Input-Gradient Spatial Alignment
Mayank S., Nupur K., Puneet M., Abhishek S., V. Balasubramanian, Balaji K.
Proceedings of European Conference on Computer Vision (ECCV'20), Aug 2020.
Paper Code
On Saliency Maps and Adversarial Robustness
Puneet M., Vedant S., V. Balasubramanian
Proceedings of European Conference of Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'20), Ghent, Belgium, Sep 2020.
Paper Code Project Page
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks
Surgan J, Ayush C, Mausoom S, Piyush G, Balaji K, V. Balasubramanian
Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'20), San Diego, Aug 2020.
Paper Project Page
SEA-NN: Submodular Ensembled Attribution for Neural Networks
Piyushi M., Saketha Nath J, V. Balasubramanian
Workshop on Human Interpretability in Machine Learning (WHI 2020) and Workshop on Extending Explainable AI Beyond Deep Models and Classifiers (XXAI), International Conference on Machine Learning (ICML'20), Jul 2020.
Paper
Towards Fine-grained Sampling for Active Learning in Object Detection
Sai Vikas Desai, V. Balasubramanian
Workshop on Visual Learning with Limited Labels, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR'20), Jun 2020.
Paper
Active Learning with Point Supervision for Cost-Effective Panicle Detection in Cereal Crops
Akshay L Chandra, Sai Vikas D., S. Ninomiya, Wei Guo, V. Balasubramanian
BMC Plant Methods Journal, 2020. (Impact Factor - 4.5)
Paper Project Page
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey
Akshay L Chandra, Sai Vikas D., V. Balasubramanian, Wei Guo
Journal of Advanced Computing and Communications, Apr 2020.
Paper
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Balaji K, V. Balasubramanian
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV'20), Mar 2020.
Paper Code Project Page
Multi-Space Approach to Zero-Shot Object Detection
Dikshant Gupta, Aditya A, Nehal M, V. Balasubramanian, C V Jawahar
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV'20), Mar 2020.
Paper
A Little Fog for a Large Turn
Harshitha M., V. Balasubramanian
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV'20), Mar 2020.
Paper Code Project Page
Munich to Dubai: How far is it for Semantic Segmentation?
Shyam Rai, Anubani Subramanian, V. Balasubramanian, C V Jawahar
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV'20), Mar 2020.
Paper
Human Machine Collaboration for Face Recognition
Saurabh R, Rahul B, V. Balasubramanian, Nageswara Rao N, Sujit Gujar, C V Jawahar
Proceedings of ACM IKDD Joint International Conference on Data Science & Management of Data (CoDS-COMAD'20), Jan 2020. (Best Paper Award Runner-up)
Paper
2019
Automatic Estimation of Heading Date of Paddy Rice using Deep Learning
Sai Vikas D., V. Balasubramanian, T. Fukatsu, S. Ninomiya, Wei Guo
BMC Plant Methods Journal (Impact Factor - 4.5)
Paper
An Adaptive Supervision Framework for Active Learning in Object Detection
Sai Vikas D., Akshay L Chandra, Wei Guo, S. Ninomiya, V. Balasubramanian
Proceedings of the British Machine Vision Conference (BMVC'19), Sep 2019.
Paper
Submodular Batch Selection for Training Deep Neural Networks
Joseph K J, Vamshi Teja R, Krishnakant Singh, V. Balasubramanian
Proceedings of International Joint Conference on Artificial Intelligence (IJCAI’19), Aug 2019.
Paper
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
Nupur Kumari, Abhishek Sinha, Mayank Singh, Harshitha Machiraju, Balaji Krishnamurthy, V. Balasubramanian
Proceedings of International Joint Conference on Artificial Intelligence (IJCAI’19), Aug 2019.
Paper
Neural Network Attributions: A Causal Perspective
Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, V. Balasubramanian
Proceedings of International Conference on Machine Learning (ICML’19), Jun 2019.
Paper Project Page
Defending Deep Neural Networks against Structural Perturbations
Uttaran Sinha, Saurabh Joshi, V. Balasubramanian
Workshop on Uncertainty and Robustness in Deep Learning, International Conference on Machine Learning (ICML'19), Jun 2019.
Paper
Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery
Chaitanya Devaguptapu, Ninad Akolekar, Manuj Sharma, V. Balasubramanian
Workshop on Perception beyond the Visible Spectrum, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR’19), Jun 2019.
Paper Code
Zero-shot Task Transfer
Arghya Pal, V. Balasubramanian
Proceedings of the IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR’19), Jun 2019. (Oral Paper)
Paper
Beyond Supervised Learning: A Computer Vision Perspective
Lovish Chum, Anbumani S., V. Balasubramanian, C. V. Jawahar
Journal of the Indian Institute of Science, pp 1-23, Feb 2019.
Paper
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis
Joseph K.J, Arghya Pal, S. Rajanala, V. Balasubramanian
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’19), Jan 2019.
Paper
Region-Based Active Learning for Efficient Labeling in Semantic Segmentation
Tejaswi K., Nagendar G., Guruprasad Hegde, V. Balasubramanian, C. V. Jawahar
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’19), Jan 2019.
Paper
2018
RefocusGAN: Scene Refocusing using a Single Image
Parikshit S., V. Balasubramanian, P.J. Narayanan,
Proceedings of the European Conference on Computer Vision (ECCV’18), Sep 2018.
Paper
MASON: A Model AgnoStic ObjectNess Framework
Joseph K.J., R. Patel, U. Gupta, A. Srivastava, V. Balasubramanian
Workshop On Autonomous Navigation in Unconstrained Environments, European Conference on Computer Vision (ECCV-W), Sep 2018
Paper Code
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Zhu Pengfei, Wen Longyin, Du Dawei, Nehal M., Naveen Kumar, Joseph K.J., V. Balasubramanian, et al.
European Conference on Computer Vision, Workshop Proceedings (ECCV-W), Sep 2018
Paper
Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation
G. Nagendar, V. Balasubramanian, C. V. Jawahar
Proceedings of the British Machine Vision Conference (BMVC'18), Sep 2018.
Paper
Improving Multiclass Classification by Deep Networks using DAGSVM and Triplet Loss
N. Agarwal, V. Balasubramanian, C.V. Jawahar
Pattern Recognition Letters, 2018
Paper
Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification
Vaibhav Sinha, Sukrut Rao, V. Balasubramanian
Workshop on Issues of Sentiment Discovery and Opinion Mining at ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), London, UK, Aug 2018
Paper Code
DAiSEE: Towards User Engagement Recognition in the Wild
A. Gupta, A. DCunha, K. Awasthi, V. Balasubramanian
Vision Meets Cognition Workshop at IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, Jun 2018.
Paper Project Page
On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks
A. Ravi Sankar, Vishwak S., V. Balasubramanian
Workshop on Theory of Deep Learning and Workshop on Non-Convex Optimization at International Conference on Machine Learning (ICML), Stockholm, Sweden, Jul 2018.
Paper
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data
Arghya Pal, V. Balasubramanian
Proceedings of the IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR'18), Jun 2018.
Paper
Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks
Anirban Sarkar, Aditya Chattopadhyay, Prantik Howlader, V. Balasubramanian
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV'18), Mar 2018.
Paper Code
STWalk: Learning Trajectory Representations in Temporal Graphs
Supriya P., Himangi Mittal, Manish Gupta, V. Balasubramanian
Proceedings of ACM IKDD Joint International Conference on Data Science & Management of Data (CoDS-COMAD'18), Jan 2018.
Paper
Are Saddles Good Enough for Deep Learning
A. Ravi Sankar, V. Balasubramanian
Proceedings of ACM IKDD Joint International Conference on Data Science & Management of Data (CoDS-COMAD'18), Jan 2018.
Paper
ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent
Vishwak S., A. Ravi Sankar, V. Balasubramanian
Proceedings of ACM IKDD Joint International Conference on Data Science & Management of Data (CoDS-COMAD'18), Jan 2018.
Paper
2017
Sequence to Sequence learning for Pose Correction in Videos
Swetha S., V. Balasubramanian, C. V. Jawahar
Proceedings of 4th Asian Conference on Pattern Recognition (ACPR'17), Nov 2017.
Attentive Semantic Video Generation using Captions
G. Mittal, T. Marwah, V. Balasubramanian
Proceedings of IEEE International Conference on Computer Vision (ICCV'17), Oct 2017.
Paper Code
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures
T. Marwah, G. Mittal, V. Balasubramanian
Proceedings of ACM International Conference on Multimedia (ACM MM'17), Oct 2017. (Oral Paper, Acceptance Rate 7.5%)
Paper Code
Have I Reached the Intersection?
D. Bhatt, D. Sodhi, A. Pal, V. Balasubramanian, M. Krishna
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'17), Sep 2017.
2016
Community-based Outlier Detection for Edge-Attributed Graphs
S. Pandhre, M. Gupta, V. Balasubramanian
arXiv:1612.09435, Dec 2016.
Paper
On the Relevance of Very Deep Networks for Diabetic Retinopathy Diagnostics
B Akilesh, T. Marwah, V. Balasubramanian, K. Rajamani
IBM Collaborative Academia Research Exchange (I-CARE) Conference, Bangalore, Oct 2016.
Deep Model Compression: Distilling Knowledge from Noisy Teachers
B. B. Sau, V. Balasubramanian
arXiv:1610.09650, Oct 2016.
Paper
Dissimilarity-based Contrastive Divergence for Anomaly Detection
S. Manocha, A Ravi Sankar, V. Balasubramanian
2nd Indian Workshop on Machine Learning, Kanpur, Jul 2016.
A Crowdsourced Approach to Student Engagement Recognition in e-Learning Environments
A Kamath, A Biswas, V. Balasubramanian
IEEE Winter Conference on Applications of Computer Vision (WACV'16), Lake Placid, NY, Mar 2016.
Fine-Tuning Human Pose Estimations in Videos
D Singh, V. Balasubramanian, C. V. Jawahar
IEEE Winter Conference on Applications of Computer Vision (WACV'16), Lake Placid, NY, Mar 2016.
Online Bengali Handwritten Numerals Recognition Using Deep Autoencoders
A. Pal, B.K. Khonglah, S. Mandal, H. Choudhury, S.R.M. Prasanna, H.L. Rufiner, V. Balasubramanian
National Conference on Communications (NCC), Mar 2016.
2015
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models
A Ravi Sankar, V. Balasubramanian
7th Asian Conference on Machine Learning (ACML), Hong Kong, 2015.
Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds
S. Chakraborty, V. Balasubramanian, Q. Sun, S. Panchanathan, J. Ye
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), Oct 2015, 37(10), pp 1945-58.
BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification
S. Chakraborty, V. Balasubramanian, A. Ravi Sankar, S. Panchanathan, J. Ye
Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’15), 2015, pp 99-108.
Adaptive Batch Mode Active Learning
S. Chakraborty, V. Balasubramanian, S. Panchanathan
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Aug 2015, vol.26, no.8, pp.1747-1760.
Conformal Predictions for Information Fusion
V. Balasubramanian, S. Chakraborty, S. Panchanathan
Annals of Mathematics and Artificial Intelligence (AMAI), Jun 2015, Vol 74, Issue 1, pp 45-65.
Scaling up the training of Deep CNNs for Human Action Recognition
Sai Rajeshwar, A Ravi Sankar, V. Balasubramanian, C.D. Sudheer
4th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (in conjunction with IPDPS 2015), Hyderabad, India, 2015, pp 1172-1177.
Model Selection Using Efficiency of Conformal Predictors
R. Jaiswal, V. Balasubramanian
3rd International Symposium on Learning and Data Sciences (SLDS 2015), Royal Holloway University of London, Apr 2015, pp 291-300.
2014
Parallel Learning of Deep Convolutional Neural networks and its Application to Action Recognition
Sai Rajeshwar, A Ravi Sankar, V. Balasubramanian, C.D. Sudheer
IEEE International Conference on High Performance Computing - Student Research Symposium, Goa, India, 2014. (NVIDIA Award for Best Paper using GPU Technologies)
2013
Generalized batch mode active learning for face-based biometric recognition
S. Chakraborty, V. Balasubramanian, S. Panchanathan
Pattern Recognition, 46:2, 2013.
Active Matrix Completion
S. Chakraborty, J. Zhou, V. Balasubramanian, S. Panchanathan, I. Davidson, J. Ye
Proceedings of the IEEE International Conference on Data Mining (ICDM’13), Dallas, USA, pp 81-90, Dec 2013.
Probabilistic Topic Models for Human Emotion Analysis
P. Lade, V. Balasubramanian, S. Panchanathan
Proceedings of the Workshop on Topic Models, Computation, Application and Evaluation at Neural Information Processing Systems (NIPS), Lake Tahoe, USA, Dec 2013.
PyCP: An Open-Source Conformal Predictions Toolkit
V. Balasubramanian, A. Baker, M. Yanez, S. Chakraborty, S. Panchanathan
Proceedings of Artificial Intelligence Applications and Innovations (Workshop on Conformal Prediction and Its Applications), vol 412, pp 361-370, Paphos, Cyprus, Oct 2013.
Detection of Changes in Human Affect Dimensions using an Adaptive Temporal Topic Model
P. Lade, V. Balasubramanian, S. Panchanathan
Proceedings of IEEE International Conference on Multimedia and Expo (ICME), pp 1-6, San Jose, USA, Jul 2013.
Multiresolution Match Kernels for Gesture Video Classification
H. Venkateswara, V. Balasubramanian, S. Panchanathan
Proceedings of IEEE International Conference on Multimedia and Expo (ICME), pp 1-4, San Jose, USA, Jul 2013.
Latent Facial Topics for Affect Analysis
P. Lade, V. Balasubramanian, S. Panchanathan
Proceedings of IEEE International Conference on Multimedia and Expo (ICME) Workshop on Affective Analysis in Multimedia, pp 1-6, San Jose, USA, Jul 2013.
2012
Batch Mode Active Learning for Multimedia Pattern Recognition
S. Chakraborty, V. Balasubramanian, S. Panchanathan
PhD Workshop on Multimedia Computing Research, in Proceedings of IEEE International Symposium on Multimedia (ISM'12), pp 489-490, Irvine, USA, Dec 2012.
Person-Centered Accessible Technologies: Improved Usability and Adaptation through Inspirations from Disability Research
S. Panchanathan, T. McDaniel, V. Balasubramanian
Proceedings of the International Workshop on User Experience in e-Learning and Augmented Technologies in Education Proceedings at ACM Multimedia (ACM MM’12), pp 1-6, Nara, Japan, Nov 2012.
Efficient Atypicality Detection in Chest Radiographs
M. Alzubaidi, V. Balasubramanian, A. Patel, S. Panchanathan, J. A. Black
Proceedings of 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), pp 193-198, Montreal, Canada, Jul 2012.
A Novel Semi-Transductive Learning Framework for Atypicality Detection in Chest Radiographs
M. Alzubaidi, V. Balasubramanian, A. Patel, S. Panchanathan, J. A. Black
Proceedings of SPIE Conference on Medical Imaging, Vol 8315 (Computer-Aided Diagnosis), 83153A, San Diego, USA, Feb 2012.
2011
An Integrated Approach to Visual Attention Modeling for Saliency Detection in Videos
S. Nataraju, V. Balasubramanian, S. Panchanathan
Machine Learning for Vision-based Motion Analysis: Advances in Pattern Recognition, Part 3, pp 181-214, Liang Wang, Guoying Zhao, Li Cheng, Matti Pietikainen (Eds.), Springer-Verlag London, 2011.
Active Batch Selection for Fuzzy Classification in Facial Expression Recognition
S. Chakraborty, H. Venkateswara, V. Balasubramanian, S. Panchanathan
Proceedings of 10th International Conference on Machine Learning and Applications (ICMLA’11), vol.1, pp.241-246, Hawaii, USA, Dec 2011.
Optimization-based Domain Adaptation towards Person-Adaptive Classification Models
R. Chattopadhyay, S. Chakraborty, V. Balasubramanian, S. Panchanathan
Proceedings of 10th International Conference on Machine Learning and Applications (ICMLA’11), vol.1, pp.476-483, Hawaii, USA, Dec 2011.
Optimal Batch Selection for Active Learning in Multi-label Classification
S. Chakraborty, V. Balasubramanian, S. Panchanathan
Proceedings of the 19th ACM International Conference on Multimedia (ACM MM'11), pp 1413-1416, Scottsdale, USA, Nov 2011.
Dynamic Batch Mode Active Learning via L1 Regularization
S. Chakraborty, V. Balasubramanian, S. Panchanathan
Proceedings of the National Conference on Artificial Intelligence (AAAI’11), Vol 2, pp 1764-1765, San Francisco, USA, Aug 2011.
Dynamic Batch Mode Active Learning
S. Chakraborty, V. Balasubramanian, S. Panchanathan
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’11), pp 2649-2656, Colorado Springs, USA, Jun 2011.
Human-Centered Multimedia Computing: Inspirations through Enriching the Lives of Individuals with Sensory, Motor, Perceptual and Cognitive Disabilities
S. Panchanathan, S. Krishna, V. Balasubramanian
Proceedings of the 7th International Conference on Trends in Industrial Measurements and Automation (TIMA 2011), pp 1-6, Chennai, India, Jan 2011.
2010
Multiple Kernel Learning for Efficient Conformal Predictions
V. Balasubramanian, S. Chakraborty, S. Panchanathan
Proceedings of the Workshop on New Directions in Multiple Kernel Learning at Neural Information Processing Systems (NIPS), Whistler, Canada, Dec 2010.
Enhancing Social Interactions of Individuals with Visual Impairments: A Case Study for Assistive Machine Learning
V. Balasubramanian, S. Chakraborty, S. Krishna, S. Panchanathan
Proceedings of the Workshop on Machine Learning for Assistive Technologies at Neural Information Processing Systems (NIPS), Whistler, Canada, Dec 2010.
An Optimization Based Framework for Dynamic Batch Mode Active Learning
S. Chakraborty, V. Balasubramanian, S. Panchanathan
Proceedings of the 3rd International Workshop on Optimization for Machine Learning at Neural Information Processing Systems (NIPS), Whistler, Canada, Dec 2010.
Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework
V. Balasubramanian, J. Ye, S. Chakraborty, S. Panchanathan
Proceedings of the 9th International Conference on Machine Learning and Applications (ICMLA'10), IEEE Computer Society, pp 235-242, Washington DC, USA, Dec 2010.
Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics
S. Chakraborty, V. Balasubramanian, S. Panchanathan
Proceedings of the 9th International Conference on Machine Learning and Applications (ICMLA'10), IEEE Computer Society, pp 15-22, Washington DC, USA, Dec 2010.
Enriching Social Situational Awareness in Remote Interactions: Insights and Inspirations from Disability Focused Research
S. Krishna, V. Balasubramanian, S. Panchanathan
Proceedings of the ACM International Conference on Multimedia (ACM MM’10), pp 1275-1284, Firenze, Italy, Oct 2010.
On the results of the first mobile biometry (MOBIO) face and speaker verification evaluation
S. Marcel, C. McCool, S. Chakraborty, V. Balasubramanian, S. Panchanathan, J.Nolazco, L. Garcia, R. Aceves, et al.
Proceedings of the 20th International Conference on Pattern Recognition (ICPR’10), pp 210-225, Istanbul, Turkey, Aug 2010.
Learning from Summaries of Videos: Applying Batch Mode Active Learning to Face-based Biometrics
S. Chakraborty, V. Balasubramanian, S. Panchanathan
Workshop on Biometrics, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR’10), pp 130-137, San Francisco, USA, Jun 2010.
Batch Mode Active Learning for Biometric Recognition
S. Chakraborty, V. Balasubramanian, S. Panchanathan
Proceedings of SPIE International Conference on Biometric Technology for Human Identification, SPIE Defense, Security & Sensing, Vol 7667, B. V. K. Vijaya Kumar, Salil Prabhakar, Arun A. Ross (Eds.), 76670W, Orlando, USA, Apr 2010.
What Catches a Radiologist’s Eye? A Comprehensive Comparison of Feature Types for Saliency Prediction
M. Alzubadi, V. Balasubramanian, J. A. Black, A. Patel, S. Panchanathan
Proceedings of SPIE Conference on Medical Imaging, Vol 7624 (Computer-Aided Diagnosis), Nico Karssemeijer, Ronald M. Summers (Eds.), 76240W, San Diego, USA, Feb 2010.
2009
Person-Specific Characteristic Feature Selection for Face Recognition
S. Krishna, V. Balasubramanian, J. Black, S. Panchanathan
Biometrics: Theory, Methods, and Applications, pp 113-141, N. V. Boulgouris, K. N. Plataniotis and E. Micheli-Tzanakou (Eds.), Wiley Publications, 2009.
Human-Centered Machine Learning in a Social Interaction Assistant for Individuals with Visual Impairments
V. Balasubramanian, S. Chakraborty, S. Krishna, S. Panchanathan
Proceedings of the Symposium on Assistive Machine Learning for People with Disabilities at Neural Information Processing Systems (NIPS’09), Vancouver, Canada, Dec 2009.
Online Active Learning using Conformal Predictions
V. Balasubramanian, S. Chakraborty, S. Panchanathan
Proceedings of the Workshop on Analysis and Design of Algorithms for Interactive Machine Learning at Neural Information Processing Systems (NIPS’09), Vancouver, Canada, Dec 2009.
Learning Attention Based Saliency in Videos from Human Eye Movements
S. Nataraju, V. Balasubramanian, S. Panchanathan
Proceedings of the International Workshop on Motion and Video Computing (WMVC), IEEE Computer Society, pp 134-139, Snowbird, USA, Dec 2009.
Generalized Query by Transduction for Online Active Learning
V. Balasubramanian, S. Chakraborty, S. Panchanathan
Workshop on Online Learning for Computer Vision, in Proceedings of the IEEE Computer Society International Conference on Computer Vision Workshops (ICCV’09), pp 1378-1385, Kyoto, Japan, Oct 2009.
Support Vector Machine Based Conformal Predictors for Risk of Complications Following a Coronary Drug Eluting Stent Procedure
V. Balasubramanian, R. Gouripeddi, J. Vermillion, A. Bhaskaran, R. Siegel, S. Panchanathan
Proceedings of IEEE Computers in Cardiology, pp 5-8, Park City, USA, Sep 2009.
Ranking Predictors of Complications following a Drug Eluting Stent Procedure using Support Vector Machines
R. Gouripeddi, V. Balasubramanian, J. Harris, A. Bhaskaran, R. Siegel, S. Panchanathan
Proceedings of IEEE Computers in Cardiology, pp 345-348, Park City, USA, Sep 2009.
Predicting Risk of Complications Following a Drug Eluting Stent Procedure: A SVM Approach for Imbalanced Data
R. Gouripeddi, V. Balasubramanian, J. Harris, A. Bhaskaran, R. Siegel, S. Panchanathan
Proceedings of 22nd IEEE International Symposium on Computer-Based Medical Systems, pp 1-7, Albuquerque, USA, Aug 2009.
2008
Biased Manifold Embedding: Supervised Isomap for Person-Independent Head Pose Estimation
V. Balasubramanian, S. Panchanathan
Computer Vision and Computer Graphics: Theory and Applications, Vol 21, pp 177-188, Jose Braz, Alpesh Ranchordas, Helder J. Araujo, Joao Madeiras Pereira (Eds.), Springer Berlin Heidelberg, 2008.
Person-independent head pose estimation using biased manifold embedding
V. Balasubramanian, S. Krishna, S. Panchanathan
EURASIP Journal on Advanced Signal Processing, pp 63:1-63:15, Hindawi Publishing Corporation, 2008.
Enriched Human-Centered Multimedia Computing through Inspirations from Disabilities and Deficit-Centered Computing Solutions
S. Panchanathan, N. C. Krishnan, S. Krishna, T. McDaniel, V. N. Balasubramanian
Proceedings of the 3rd ACM International Workshop on Human-Centered Computing, (ACM MM’08), pp 35-42, Vancouver, Canada, Oct 2008.
Using a haptic belt to convey non-verbal communication cues during social interactions to individuals who are blind
T. McDaniel, S. Krishna, V. Balasubramanian, D. Colbry, S. Panchanathan
Proceedings of IEEE International Workshop on Haptic Audio visual Environments and Games (HAVE), pp.13-18, Ottawa, Canada, Oct 2008.
A Systematic Requirements Analysis and Development of an Assistive Device to Enhance the Social Interaction of People Who are Blind or Visually Impaired
S. Krishna, D. Colbry, J. Black, V. N. Balasubramanian, S. Panchanathan
Proceedings of the European Conference on Computer Vision Workshop on Computer Vision Applications for the Visually Impaired (ECCV’08), Marseille, France, Oct 2008.
Multiple Cue Integration in Transductive Confidence Machines for Head Pose Classification
V. Balasubramanian, S. Chakraborty, S. Panchanathan
Workshop on Online Learning for Classification, in Proceedings of the IEEE Computer Vision and Pattern Recognition Workshops (CVPR’08), pp 1-8, Anchorage, USA, Jun 2008.
A Wearable Wireless RFID System for Accessible Shopping Environments
S. Krishna, S. Panchanathan, T. Hedgpeth, C. Juillard, V. Balasubramanian, N. C. Krishnan
Proceedings of the ICST 3rd International Conference on Body Area Networks (BodyNets’08), pp 29:1-29:8, Tempe, USA, Mar 2008.
Human-Centered Multimedia Computing: A New Paradigm for the Design of Assistive and Rehabilitative Environments
S. Panchanathan, S. Krishna, J.A. Black, V. Balasubramanian
Proceedings of the International Conference on Signal Processing, Communications and Networking (ICSCN'08), pp 1-7, Chennai, India, Jan 2008.
2007
Biased Manifold Embedding: A framework for Person-Independent Head Pose Estimation
V. N. Balasubramanian, J. Ye, S. Panchanathan
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR’07), pp 1-7, Minneapolis, USA, Jun 2007.
Biased Manifold Embedding for Person-Independent Head Pose Estimation
V. N. Balasubramanian, S. Panchanathan
Proceedings of the 2nd International Conference on Computer Vision Theory and Applications, pp 76-84, Alpesh Ranchordas, Helder Araujo, Jordi Vitria (Eds.), Barcelona, Spain, Mar 2007.
2006 and Prior
Measuring movement expertise in surgical tasks
K. Kahol, N. C. Krishnan, V. N. Balasubramanian, S. Panchanathan, M. Smith, J. Ferrara
Proceedings of the 14th Annual ACM Conference on Multimedia (ACM MM’06), pp 719-722, Santa Barbara, USA, Oct 2006.
Mosaicing of MPEG compressed video: a unified approach
N.B. Vineeth, B. Krishnamoorthy, G.V. Prabhakara Rao
Proceedings of the SPIE International Conference on Optical Science and Engineering, Vol 5558 (Applications of Digital Image Processing), 847, Denver, USA, Aug 2004.
Other
Batch Mode Active Learning for Multimedia Pattern Recognition
S. Chakraborty, V. Balasubramanian, S. Panchanathan
7th Annual Machine Learning Symposium, New York Academy of Sciences, New York, USA, Oct 2012.
Confidence Estimation in Pattern Classification: An Analysis with Head Pose Estimation
V. Balasubramanian, S. Chakraborty, S. Panchanathan
Technical Report TR-09-12, School of Computing and Informatics, Arizona State University, Jul 2009.
Haptic Belt for Delivering Nonverbal Cues to People who are Blind/Visually Impaired
S. Krishna, T. McDaniel, V. Balasubramanian, D. Colbry, S. Panchanathan
24th Annual International Technology and Persons with Disabilities Conference (CSUN’09), Los Angeles, USA, Mar 2009.
The iCARE Ambient Interactive Shopping Environment
S. Krishna, V. Balasubramanian, N. C. Krishnan, T. Hedgpeth
CSUN's 23rd Annual International Technology and Persons with Disabilities Conference (CSUN’08), Los Angeles, USA, Mar 2008.