Machine Learning and Vision Group

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.