Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDVineeth N. Balasubramanian
Vineeth Nallure Balasubramanian – Vineeth Balasubramanian
Person information
- affiliation: Indian Institute of Technology, Hyderabad, Department of Computer Science and Engineering
- affiliation: Arizona State University, Tempe, Department of Computer Science and Engineering
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[j8]Kee-Eung Kim, Vineeth N. Balasubramanian:
Foreword: special issue for the journal track of the 12th Asian conference on machine learning (ACML 2020). Mach. Learn. 109(12): 2243-2245 (2020)- [j7]Vaibhav B. Sinha
, Sneha Kudugunta, Adepu Ravi Sankar, Surya Teja Chavali, Vineeth N. Balasubramanian:
DANTE: Deep alternations for training neural networks. Neural Networks 131: 127-143 (2020) - [c69]Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian:
Zero-Shot Domain Generalization. BMVC 2020 - [c68]Shyam Nandan Rai, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar:
Spatial Feedback Learning to Improve Semantic Segmentation in Hot Weather. BMVC 2020 - [c67]Saurabh Ravindranath, Rahul Baburaj, Vineeth N. Balasubramanian, NageswaraRao Namburu, Sujit Gujar, C. V. Jawahar:
Human-Machine Collaboration for Face Recognition. COMAD/CODS 2020: 10-18 - [c66]Sai Vikas Desai, Vineeth N. Balasubramanian:
Towards Fine-grained Sampling for Active Learning in Object Detection. CVPR Workshops 2020: 4010-4014 - [c65]Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Attributional Robustness Training Using Input-Gradient Spatial Alignment. ECCV (27) 2020: 515-533 - [c64]Sakshi Varshney, P. K. Srijith, Vineeth N. Balasubramanian:
STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse. ICONIP (5) 2020: 676-684 - [c63]Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian:
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. KDD 2020: 1123-1131 - [c62]K. J. Joseph, Vineeth Nallure Balasubramanian:
Meta-Consolidation for Continual Learning. NeurIPS 2020 - [c61]Dikshant Gupta, Aditya Anantharaman, Nehal Mamgain, Sowmya Kamath S., Vineeth N. Balasubramanian, C. V. Jawahar:
A Multi-Space Approach to Zero-Shot Object Detection. WACV 2020: 1198-1206 - [c60]Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. WACV 2020: 2207-2216 - [c59]Harshitha Machiraju, Vineeth N. Balasubramanian:
A Little Fog for a Large Turn. WACV 2020: 2891-2900 - [c58]Shyam Nandan Rai, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar:
Munich to Dubai: How far is it for Semantic Segmentationƒ. WACV 2020: 2988-2997 - [i47]Harshitha Machiraju, Vineeth N. Balasubramanian:
A Little Fog for a Large Turn. CoRR abs/2001.05873 (2020) - [i46]Puneet Mangla, Vedant Singh, Shreyas Jayant Havaldar, Vineeth N. Balasubramanian:
VarMixup: Exploiting the Latent Space for Robust Training and Inference. CoRR abs/2003.06566 (2020) - [i45]K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao:
Incremental Object Detection via Meta-Learning. CoRR abs/2003.08798 (2020) - [i44]Arghya Pal, Vineeth N. Balasubramanian:
Generative Adversarial Data Programming. CoRR abs/2005.00364 (2020) - [i43]Puneet Mangla, Vedant Singh, Vineeth N. Balasubramanian:
On Saliency Maps and Adversarial Robustness. CoRR abs/2006.07828 (2020) - [i42]Akshay L. Chandra, Sai Vikas Desai, Wei Guo, Vineeth N. Balasubramanian:
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey. CoRR abs/2006.11391 (2020) - [i41]Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian:
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. CoRR abs/2006.13593 (2020) - [i40]Shivam Chandhok, Vineeth N. Balasubramanian:
Enhancing Generalized Zero-Shot Learning via Adversarial Visual-Semantic Interaction. CoRR abs/2007.07757 (2020) - [i39]Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Vineeth N. Balasubramanian:
An Empirical Study on the Robustness of NAS based Architectures. CoRR abs/2007.08428 (2020) - [i38]Sandeep Inuganti, Vineeth N. Balasubramanian:
Assisting Scene Graph Generation with Self-Supervision. CoRR abs/2008.03555 (2020) - [i37]Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian:
Zero Shot Domain Generalization. CoRR abs/2008.07443 (2020) - [i36]K. J. Joseph, Vineeth N. Balasubramanian:
Meta-Consolidation for Continual Learning. CoRR abs/2010.00352 (2020) - [i35]Radhika Dua, Sai Srinivas Kancheti, Vineeth N. Balasubramanian:
Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions. CoRR abs/2010.12852 (2020) - [i34]Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian:
On Initial Pools for Deep Active Learning. CoRR abs/2011.14696 (2020) - [i33]Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian:
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization. CoRR abs/2012.03801 (2020) - [i32]Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Data Instance Prior for Transfer Learning in GANs. CoRR abs/2012.04256 (2020) - [i31]Aditya Bharti, Vineeth N. Balasubramanian, C. V. Jawahar:
Few Shot Learning With No Labels. CoRR abs/2012.13751 (2020) - [i30]Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian:
Enhanced Regularizers for Attributional Robustness. CoRR abs/2012.14395 (2020)
2010 – 2019
- 2019
- [c57]Sai Vikas Desai, Akshay Chandra Lagandula, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian:
An Adaptive Supervision Framework for Active Learning in Object Detection. BMVC 2019: 230 - [c56]Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian:
Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery. CVPR Workshops 2019: 1029-1038 - [c55]Arghya Pal, Vineeth N. Balasubramanian:
Zero-Shot Task Transfer. CVPR 2019: 2189-2198 - [c54]Surgan Jandial, Puneet Mangla, Sakshi Varshney, Vineeth Balasubramanian:
AdvGAN++: Harnessing Latent Layers for Adversary Generation. ICCV Workshops 2019: 2045-2048 - [c53]Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian:
Neural Network Attributions: A Causal Perspective. ICML 2019: 981-990 - [c52]K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian:
Submodular Batch Selection for Training Deep Neural Networks. IJCAI 2019: 2677-2683 - [c51]Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. IJCAI 2019: 2779-2785 - [c50]K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian:
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. WACV 2019: 358-366 - [c49]Tejaswi Kasarla, Gattigorla Nagendar, Guruprasad M. Hegde, Vineeth Balasubramanian, C. V. Jawahar:
Region-based active learning for efficient labeling in semantic segmentation. WACV 2019: 1109-1117 - [i29]Thrupthi Ann John, Isha Dua, Vineeth N. Balasubramanian, C. V. Jawahar:
Low-Cost Transfer Learning of Face Tasks. CoRR abs/1901.02675 (2019) - [i28]Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian:
DANTE: Deep AlterNations for Training nEural networks. CoRR abs/1902.00491 (2019) - [i27]Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian:
Neural Network Attributions: A Causal Perspective. CoRR abs/1902.02302 (2019) - [i26]Arghya Pal, Vineeth N. Balasubramanian:
Zero-Shot Task Transfer. CoRR abs/1903.01092 (2019) - [i25]Varshaneya V, S. Balasubramanian, Vineeth N. Balasubramanian:
Teaching GANs to Sketch in Vector Format. CoRR abs/1904.03620 (2019) - [i24]Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, Vineeth N. Balasubramanian:
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. CoRR abs/1905.05186 (2019) - [i23]Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian:
Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery. CoRR abs/1905.08789 (2019) - [i22]Sai Vikas Desai, Vineeth N. Balasubramanian, Tokihiro Fukatsu, Seishi Ninomiya, Wei Guo:
Automatic estimation of heading date of paddy rice using deep learning. CoRR abs/1906.07917 (2019) - [i21]K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian:
Submodular Batch Selection for Training Deep Neural Networks. CoRR abs/1906.08771 (2019) - [i20]Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. CoRR abs/1907.12087 (2019) - [i19]Puneet Mangla, Surgan Jandial, Sakshi Varshney, Vineeth N. Balasubramanian:
AdvGAN++ : Harnessing latent layers for adversary generation. CoRR abs/1908.00706 (2019) - [i18]Sai Vikas Desai, Akshay L. Chandra, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian:
An Adaptive Supervision Framework for Active Learning in Object Detection. CoRR abs/1908.02454 (2019) - [i17]Akshay L. Chandra, Sai Vikas Desai, Vineeth N. Balasubramanian, Seishi Ninomiya, Wei Guo:
Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops. CoRR abs/1910.01789 (2019) - [i16]Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
On the Benefits of Attributional Robustness. CoRR abs/1911.13073 (2019) - 2018
- [j6]Nakul Agarwal, Vineeth N. Balasubramanian, C. V. Jawahar:
Improving multiclass classification by deep networks using DAGSVM and Triplet Loss. Pattern Recognit. Lett. 112: 184-190 (2018) - [c48]Gattigorla Nagendar, Digvijay Singh, Vineeth N. Balasubramanian, C. V. Jawahar:
Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation. BMVC 2018: 278 - [c47]Adepu Ravi Sankar, Vineeth N. Balasubramanian:
Are saddles good enough for neural networks. COMAD/CODS 2018: 37-45 - [c46]Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian:
STwalk: learning trajectory representations in temporal graphs. COMAD/CODS 2018: 210-219 - [c45]Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian:
ADINE: an adaptive momentum method for stochastic gradient descent. COMAD/CODS 2018: 249-256 - [c44]Arghya Pal, Vineeth N. Balasubramanian:
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. CVPR 2018: 1556-1565 - [c43]Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song:
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (5) 2018: 437-468 - [c42]Parikshit Sakurikar, Ishit Mehta, Vineeth N. Balasubramanian, P. J. Narayanan:
RefocusGAN: Scene Refocusing Using a Single Image. ECCV (4) 2018: 519-535 - [c41]K. J. Joseph, Rajiv Chunilal Patel, Amit Srivastava, Uma Gupta, Vineeth N. Balasubramanian:
MASON: A Model AgnoStic ObjectNess Framework. ECCV Workshops (5) 2018: 642-658 - [c40]Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian:
Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks. WACV 2018: 839-847 - [i15]Vaibhav B. Sinha, Sukrut Rao, Vineeth N. Balasubramanian:
Fast Dawid-Skene. CoRR abs/1803.02781 (2018) - [i14]Arghya Pal, Vineeth N. Balasubramanian:
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. CoRR abs/1803.05137 (2018) - [i13]Adepu Ravi Sankar, Vishwak Srinivasan, Vineeth N. Balasubramanian:
On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks. CoRR abs/1807.08140 (2018) - [i12]K. J. Joseph, Vineeth N. Balasubramanian:
MASON: A Model AgnoStic ObjectNess Framework. CoRR abs/1809.07499 (2018) - [i11]K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian:
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. CoRR abs/1809.10238 (2018) - 2017
- [c39]Sirnam Swetha, Vineeth N. Balasubramanian, C. V. Jawahar:
Sequence-to-Sequence Learning for Human Pose Correction in Videos. ACPR 2017: 298-303 - [c38]Tanya Marwah, Gaurav Mittal, Vineeth N. Balasubramanian:
Attentive Semantic Video Generation Using Captions. ICCV 2017: 1435-1443 - [c37]Dhaivat Bhatt, Danish Sodhi, Arghya Pal, Vineeth N. Balasubramanian, K. Madhava Krishna:
Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras. IROS 2017: 4495-4500 - [c36]Gaurav Mittal, Tanya Marwah, Vineeth N. Balasubramanian:
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures. ACM Multimedia 2017: 1096-1104 - [i10]Adepu Ravi Sankar, Vineeth N. Balasubramanian:
Are Saddles Good Enough for Deep Learning? CoRR abs/1706.02052 (2017) - [i9]Hemanth Venkateswara, Vineeth N. Balasubramanian, Prasanth Lade, Sethuraman Panchanathan:
Multiresolution Match Kernels for Gesture Video Classification. CoRR abs/1706.07530 (2017) - [i8]Tanya Marwah, Gaurav Mittal, Vineeth N. Balasubramanian:
Attentive Semantic Video Generation using Captions. CoRR abs/1708.05980 (2017) - [i7]Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian:
Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks. CoRR abs/1710.11063 (2017) - [i6]Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian:
STWalk: Learning Trajectory Representations in Temporal Graphs. CoRR abs/1711.04150 (2017) - [i5]Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian:
ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent. CoRR abs/1712.07424 (2017) - 2016
- [c35]Aditya Kamath, Aradhya Biswas, Vineeth Balasubramanian:
A crowdsourced approach to student engagement recognition in e-learning environments. WACV 2016: 1-9 - [c34]Digvijay Singh, Vineeth Balasubramanian, C. V. Jawahar:
Fine-tuning human pose estimations in videos. WACV 2016: 1-9 - [i4]Abhay Gupta, Richik Jaiswal, Sagar Adhikari, Vineeth Balasubramanian:
DAISEE: Dataset for Affective States in E-Learning Environments. CoRR abs/1609.01885 (2016) - [i3]Bharat Bhusan Sau, Vineeth N. Balasubramanian:
Deep Model Compression: Distilling Knowledge from Noisy Teachers. CoRR abs/1610.09650 (2016) - [i2]Gaurav Mittal, Tanya Marwah, Vineeth N. Balasubramanian:
Sync-DRAW: Automatic GIF Generation using Deep Recurrent Attentive Architectures. CoRR abs/1611.10314 (2016) - [i1]Supriya Pandhre, Manish Gupta, Vineeth N. Balasubramanian:
Community-based Outlier Detection for Edge-attributed Graphs. CoRR abs/1612.09435 (2016) - 2015
- [j5]Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan:
Conformal predictions for information fusion - A comparative study of p-value combination methods. Ann. Math. Artif. Intell. 74(1-2): 45-65 (2015) - [j4]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Qian Sun, Sethuraman Panchanathan, Jieping Ye:
Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 1945-1958 (2015) - [j3]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Adaptive Batch Mode Active Learning. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1747-1760 (2015) - [c33]Adepu Ravi Sankar, Vineeth N. Balasubramanian:
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models. ACML 2015: 391-406 - [c32]M. Sai Rajeswar, Adepu Ravi Sankar, Vineeth N. Balasubramanian, C. D. Sudheer:
Scaling Up the Training of Deep CNNs for Human Action Recognition. IPDPS Workshops 2015: 1172-1177 - [c31]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye:
BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification. KDD 2015: 99-108 - [c30]Ritvik Jaiswal, Vineeth N. Balasubramanian:
Model Selection Using Efficiency of Conformal Predictors. SLDS 2015: 291-300 - 2013
- [j2]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Generalized batch mode active learning for face-based biometric recognition. Pattern Recognit. 46(2): 497-508 (2013) - [c29]Shayok Chakraborty, Jiayu Zhou, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye:
Active Matrix Completion. ICDM 2013: 81-90 - [c28]Prasanth Lade, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Latent Facial Topics for affect analysis. ICME Workshops 2013: 1-6 - [c27]Prasanth Lade, Vineeth Nallure Balasubramanian, Hemanth Venkateswara, Sethuraman Panchanathan:
Detection of changes in human affect dimensions using an Adaptive Temporal Topic model. ICME 2013: 1-6 - [c26]Hemanth Venkateswara, Vineeth Nallure Balasubramanian, Prasanth Lade, Sethuraman Panchanathan:
Multiresolution Match Kernels for gesture video classification. ICME Workshops 2013: 1-4 - [c25]Vineeth Nallure Balasubramanian, Aaron Baker, Matthew Yanez, Shayok Chakraborty, Sethuraman Panchanathan:
PyCP: An Open-Source Conformal Predictions Toolkit. AIAI 2013: 361-370 - 2012
- [c24]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Batch Mode Active Learning for Multimedia Pattern Recognition. ISM 2012: 489-490 - [c23]Mohammad Alzubaidi, Vineeth Nallure Balasubramanian, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.:
Efficient atypicality detection in chest radiographs. ISSPA 2012: 193-198 - [c22]Mohammad Alzubaidi, Vineeth N. Balasubramanian, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.:
A novel semi-transductive learning framework for efficient atypicality detection in chest radiographs. Medical Imaging: Computer-Aided Diagnosis 2012: 83153A - [c21]Mohammad Alzubaidi, Vineeth N. Balasubramanian, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.:
A novel online Variance Based Instance Selection (VBIS) method for efficient atypicality detection in chest radiographs. Medical Imaging: Image Processing 2012: 83144Z - 2011
- [c20]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Dynamic Batch Mode Active Learning via L1 Regularization. AAAI 2011 - [c19]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Dynamic batch mode active learning. CVPR 2011: 2649-2656 - [c18]Shayok Chakraborty, Hemanth Venkateswara, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Active Batch Selection for Fuzzy Classification in Facial Expression Recognition. ICMLA (1) 2011: 241-246 - [c17]Rita Chattopadhyay, Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Optimization-Based Domain Adaptation towards Person-Adaptive Classification Models. ICMLA (1) 2011: 476-483 - [c16]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Optimal batch selection for active learning in multi-label classification. ACM Multimedia 2011: 1413-1416 - 2010
- [b1]Vineeth Nallure Balasubramanian:
Conformal Predictions in Multimedia Pattern Recognition. Arizona State University, Tempe, USA, 2010 - [c15]Shayok Chakraborty, Vineeth N. Balasubramanian, Sethuraman Panchanathan:
Learning from summaries of videos: Applying batch mode active learning to face-based biometrics. CVPR Workshops 2010: 130-137 - [c14]Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics. ICMLA 2010: 15-22 - [c13]Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan, Jieping Ye:
Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework. ICMLA 2010: 235-242 - [c12]Sébastien Marcel, Chris McCool, Pavel Matejka, Timo Ahonen, Jan Cernocký, Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Chi-Ho Chan, Josef Kittler, Norman Poh, Benoit G. B. Fauve, Ondrej Glembek, Oldrich Plchot, Zdenek Jancik, Anthony Larcher, Christophe Lévy, Driss Matrouf, Jean-François Bonastre, Ping-Han Lee, Jui-Yu Hung, Si-Wei Wu, Yi-Ping Hung, Lukás Machlica, John S. D. Mason, Sandra Mau, Conrad Sanderson, David Monzo, Antonio Albiol, Hieu V. Nguyen, Li Bai, Yan Wang, Matti Niskanen, Markus Turtinen, Juan Arturo Nolazco-Flores, L. Paola García-Perera, Roberto Aceves-Lopez, Mauricio Villegas, Roberto Paredes:
On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. ICPR Contests 2010: 210-225 - [c11]Mohammad Alzubaidi, Vineeth N. Balasubramanian, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.:
What catches a radiologist's eye? A comprehensive comparison of feature types for saliency prediction. Medical Imaging: Computer-Aided Diagnosis 2010: 76240W - [c10]Sreekar Krishna, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Enriching social situational awareness in remote interactions: insights and inspirations from disability focused research. ACM Multimedia 2010: 1275-1284
2000 – 2009
- 2009
- [c9]Ramkiran Gouripeddi, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Jenni Harris, Ambika Bhaskaran, Robert M. Siegel:
Predicting risk of complications following a drug eluting stent procedure: A SVM approach for imbalanced data. CBMS 2009: 1-7 - [c8]Vineeth Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan:
Generalized Query by Transduction for online active learning. ICCV Workshops 2009: 1378-1385 - 2008
- [j1]Vineeth Nallure Balasubramanian, Sreekar Krishna, Sethuraman Panchanathan:
Person-Independent Head Pose Estimation Using Biased Manifold Embedding. EURASIP J. Adv. Signal Process. 2008 (2008) - [c7]Sreekar Krishna, Vineeth Nallure Balasubramanian, Narayanan Chatapuram Krishnan, Colin Juillard, Terri Hedgpeth, Sethuraman Panchanathan:
A wearable wireless RFID system for accessible shopping environments. BODYNETS 2008: 29 - [c6]Vineeth N. Balasubramanian, Sethuraman Panchanathan, Shayok Chakraborty:
Multiple cue integration in transductive confidence machines for head pose classification. CVPR Workshops 2008: 1-8 - [c5]Sethuraman Panchanathan, Narayanan Chatapuram Krishnan, Sreekar Krishna, Troy L. McDaniel, Vineeth Nallure Balasubramanian:
Enriched human-centered multimedia computing through inspirations from disabilities and deficit-centered computing solutions. HCC 2008: 35-42 - 2007
- [c4]Vineeth Nallure Balasubramanian, Jieping Ye, Sethuraman Panchanathan:
Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation. CVPR 2007 - [c3]Vineeth Nallure Balasubramanian,