Vineeth N. Balasubramanian

发表

STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse

P. K. Srijith, Sakshi Varshney, Vineeth N. Balasubramanian, 2020, ICONIP.

ADINE: an adaptive momentum method for stochastic gradient descent

Vineeth N. Balasubramanian, Vishwak Srinivasan, Adepu Ravi Sankar, 2017, COMAD/CODS.

Efficient atypicality detection in chest radiographs

Sethuraman Panchanathan, Vineeth N. Balasubramanian, John A. Black, 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

Multiple cue integration in transductive confidence machines for head pose classification

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Spatial Feedback Learning to Improve Semantic Segmentation in Hot Weather

C. V. Jawahar, Vineeth N. Balasubramanian, Shyam Nandan Rai, 2020, BMVC.

C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis

Vineeth N. Balasubramanian, K. J. Joseph, Arghya Pal, 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Predicting risk of complications following a drug eluting stent procedure: A SVM approach for imbalanced data

Sethuraman Panchanathan, Ramkiran Gouripeddi, Vineeth N. Balasubramanian, 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.

Foreword: special issue for the journal track of the 12th Asian conference on machine learning (ACML 2020)

Kee-Eung Kim, Vineeth N. Balasubramanian, 2020, Mach. Learn..

Scaling Up the Training of Deep CNNs for Human Action Recognition

Vineeth N. Balasubramanian, M. Sai Rajeswar, A. Ravi Sankar, 2015, 2015 IEEE International Parallel and Distributed Processing Symposium Workshop.

Measuring movement expertise in surgical tasks

Sethuraman Panchanathan, Kanav Kahol, Vineeth N. Balasubramanian, 2006, MM '06.

An Integrated Approach to Visual Attention Modeling for Saliency Detection in Videos

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Sunaad Nataraju, 2011 .

Are Saddles Good Enough for Deep Learning? pdf

Vineeth N. Balasubramanian, Adepu Ravi Sankar, V. Balasubramanian, 2017, ArXiv.

Adaptive Batch Mode Active Learning

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Generalized batch mode active learning for face-based biometric recognition

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2013, Pattern Recognit..

Chapter 3 – Active Learning

Sethuraman Panchanathan, Harry Wechsler, Vineeth N. Balasubramanian, 2014 .

Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

On the Relevance of Very Deep Networks for Diabetic Retinopathy Diagnostics

Vineeth N. Balasubramanian, B. Akilesh, Kumar Rajamani, 2017 .

A Multi-Space Approach to Zero-Shot Object Detection

C. V. Jawahar, Vineeth N. Balasubramanian, S. SowmyaKamath, 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Person-Specific Characteristic Feature Selection for Face Recognition

Sethuraman Panchanathan, Vineeth N. Balasubramanian, John A. Black, 2010 .

Attentive Semantic Video Generation Using Captions

Vineeth N. Balasubramanian, Gaurav Mittal, Tanya Marwah, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation

Sethuraman Panchanathan, Jieping Ye, Vineeth N. Balasubramanian, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Dynamic batch mode active learning

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2011, CVPR 2011.

Batch mode active learning for biometric recognition

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2010, Defense + Commercial Sensing.

Vineeth N. Balasubramanian, R S Adepu, S Manocha, 2016 .

Low-Cost Transfer Learning of Face Tasks pdf

C. V. Jawahar, Vineeth N. Balasubramanian, Isha Dua, 2019, ArXiv.

Conformal predictions for information fusion

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2014, Annals of Mathematics and Artificial Intelligence.

Human-Machine Collaboration for Face Recognition

C. V. Jawahar, Sujit Gujar, Vineeth N. Balasubramanian, 2020, COMAD/CODS.

Neural Network Attributions: A Causal Perspective pdf

Vineeth N. Balasubramanian, Anirban Sarkar, Aditya Chattopadhyay, 2019, ICML.

Enriched human-centered multimedia computing through inspirations from disabilities and deficit-centered computing solutions

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Narayanan Chatapuram Krishnan, 2008, HCC '08.

A wearable wireless RFID system for accessible shopping environments

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Narayanan Chatapuram Krishnan, 2008, BODYNETS.

Towards Fine-grained Sampling for Active Learning in Object Detection

Vineeth N. Balasubramanian, Sai Vikas Desai, V. Balasubramanian, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Community-based Outlier Detection for Edge-attributed Graphs pdf

Vineeth N. Balasubramanian, Manish Gupta, Supriya Pandhre, 2016, ArXiv.

Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data

Vineeth N. Balasubramanian, Arghya Pal, V. Balasubramanian, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Active Batch Selection for Fuzzy Classification in Facial Expression Recognition

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Zero-Shot Task Transfer

Vineeth N. Balasubramanian, Arghya Pal, V. Balasubramanian, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks

Vineeth N. Balasubramanian, Anirban Sarkar, Prantik Howlader, 2017, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

RefocusGAN: Scene Refocusing Using a Single Image

P. J. Narayanan, Vineeth N. Balasubramanian, Parikshit Sakurikar, 2018, ECCV.

Detection of changes in human affect dimensions using an Adaptive Temporal Topic model

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Prasanth Lade, 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework

Sethuraman Panchanathan, Jieping Ye, Vineeth N. Balasubramanian, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Multiresolution Match Kernels for gesture video classification

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Prasanth Lade, 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

A Little Fog for a Large Turn

Vineeth N. Balasubramanian, Harshitha Machiraju, V. Balasubramanian, 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Deep Model Compression: Distilling Knowledge from Noisy Teachers pdf

Vineeth N. Balasubramanian, Bharat Bhusan Sau, V. Balasubramanian, 2016, ArXiv.

Beyond Supervised Learning: A Computer Vision Perspective

C. V. Jawahar, Vineeth N. Balasubramanian, Anbumani Subramanian, 2019, Journal of the Indian Institute of Science.

Active Matrix Completion

Jiayu Zhou, Sethuraman Panchanathan, Jieping Ye, 2013, 2013 IEEE 13th International Conference on Data Mining.

Teaching GANs to sketch in vector format pdf

Vineeth N. Balasubramanian, V Varshaneya, S Balasubramanian, 2019, ICVGIP.

Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications

Vladimir Vovk, Vineeth N. Balasubramanian, Shen-Shyang Ho, 2014 .

PyCP: An Open-Source Conformal Predictions Toolkit

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2013, AIAI.

Optimization-Based Domain Adaptation towards Person-Adaptive Classification Models

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Rita Chattopadhyay, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

HIVEC: A Hierarchical Approach for Vector Representation Learning of Graphs

Vineeth N. Balasubramanian, Naveen Sivadasan, Krishnakant Singh, 2018 .

Vineeth N. Balasubramanian, Adepu Ravi Sankar, 2015, ACML.

Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds

Sethuraman Panchanathan, Jieping Ye, Qian Sun, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models pdf

Vineeth N. Balasubramanian, Nupur Kumari, Mayank Singh, 2019, IJCAI.

Few Shot Learning With No Labels pdf

C. V. Jawahar, Vineeth N. Balasubramanian, Aditya Bharti, 2020, ArXiv.

From Recognition to Generation Using Deep Learning: A Case Study with Video Generation

Vineeth N. Balasubramanian, 2017 .

Learning from summaries of videos: Applying batch mode active learning to face-based biometrics

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Fast Dawid-Skene pdf

Vineeth N. Balasubramanian, Vaibhav Sinha, Sukrut Rao, 2018, ArXiv.

A novel semi-transductive learning framework for efficient atypicality detection in chest radiographs

Sethuraman Panchanathan, Vineeth N. Balasubramanian, John A. Black, 2012, Medical Imaging.

Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation

Gattigorla Nagendar, C. V. Jawahar, Vineeth N. Balasubramanian, 2018, BMVC.

Submodular Importance Sampling for Neural NetworkTraining

Krishna Kant Singh, Vineeth N. Balasubramanian, 2018 .

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification

Sethuraman Panchanathan, Jieping Ye, Vineeth N. Balasubramanian, 2015, KDD.

Dynamic Batch Mode Active Learning via L1 Regularization

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2011, AAAI.

Optimal batch selection for active learning in multi-label classification

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2011, ACM Multimedia.

Zero-Shot Domain Generalization pdf

Vineeth N. Balasubramanian, Ürün Dogan, Udit Maniyar, 2020, BMVC.

Are saddles good enough for neural networks

Vineeth N. Balasubramanian, Adepu Ravi Sankar, 2018, COMAD/CODS.

Sequence-to-Sequence Learning for Human Pose Correction in Videos

C. V. Jawahar, Vineeth N. Balasubramanian, Sirnam Swetha, 2017, 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR).

Person-Independent Head Pose Estimation Using Biased Manifold Embedding

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Sreekar Krishna, 2008, EURASIP J. Adv. Signal Process..

DANTE: Deep AlterNations for Training nEural networks

Vineeth N. Balasubramanian, Adepu Ravi Sankar, Purushottam Kar, 2019, Neural Networks.

Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras

K. Madhava Krishna, Vineeth N. Balasubramanian, Arghya Pal, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Latent Facial Topics for affect analysis

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Prasanth Lade, 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

Enriching social situational awareness in remote interactions: insights and inspirations from disability focused research

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Sreekar Krishna, 2010, ACM Multimedia.

On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation

Chi-Ho Chan, Yan Wang, Sébastien Marcel, 2010, ICPR Contests.

Retrospection: Leveraging the Past for Efficient Training of Deep Neural Networks

Vineeth N. Balasubramanian, Ayush Chopra, Balaji Krishnamurthy, 2019 .

Understanding Graph Data Through DeepLearning Lens

Vineeth N. Balasubramanian, Supriya Pandhre, V. Balasubramanian, 2018 .

Improving multiclass classification by deep networks using DAGSVM and Triplet Loss

C. V. Jawahar, Vineeth N. Balasubramanian, Nakul Agarwal, 2018, Pattern Recognit. Lett..

Batch Mode Active Learning for Multimedia Pattern Recognition

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2012, 2012 IEEE International Symposium on Multimedia.