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Number of items: 39.

Article

Chum, Lovish and Anbumani, Subramanian and Balasubramanian, Vineeth N and C V, Jawahar (2019) Beyond Supervised Learning: A Computer Vision Perspective. Journal of the Indian Institute of Science. ISSN 0970-4140

John, Trupthi Ann and Dua, Isha and Balasubramanian, Vineeth N and C V, Jawahar (2019) Low-Cost Transfer Learning of Face Tasks. arXiv. pp. 1-13. (Submitted)

Varshaneya, V and Balasubramanian, Vineeth N and Balasubramanian, S (2019) Teaching GANs to Sketch in Vector Format. arXiv.

Pal, Arghya and Balasubramanian, Vineeth N (2019) Zero-Shot Task Transfer. arXiv. pp. 1-18.

Balasubramanian, Vineeth N (2018) From Recognition to Generation Using Deep Learning: A Case Study with Video Generation. Communications in Computer and Information Science, 844. pp. 25-36. ISSN 1865-0929

Agarwal, Nakul and Balasubramanian, Vineeth N and C V, Jawahar (2018) Improving multiclass classification by deep networks using DAGSVM and Triplet Loss. Pattern Recognition Letters, 112. pp. 184-190. ISSN 0167-8655

Adepu, R S and Balasubramanian, Vineeth N (2017) Are Saddles Good Enough for Deep Learning? arXiv. pp. 1-16. (Submitted)

Marwah, T and Mittal, G and Balasubramanian, Vineeth N (2017) Attentive Semantic Video Generation using Captions. arXiv. pp. 1-9.

Mittal, Gaurav and Marwah, Tanya and Balasubramanian, Vineeth N (2017) Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures. arXiv. pp. 1-9.

P, Supriya and Balasubramanian, Vineeth N (2016) Community-based Outlier Detection for Edge-attributed Graphs. arXiv. pp. 1-9.

Gupta, A and Jaiswal, R and Adhikari, S and Balasubramanian, Vineeth N (2016) DAISEE: Dataset for Affective States in E-Learning Environments. arXiv. pp. 1-22.

Sau, B B and Balasubramanian, Vineeth N (2016) Deep Model Compression: Distilling Knowledge from Noisy Teachers. arXiv, v2. pp. 1-9.

Mittal, G and Marwah, T and Balasubramanian, Vineeth N (2016) Sync-DRAW: Automatic GIF Generation using Deep Recurrent Attentive Architectures. arXiv. pp. 1-9.

Chakraborty, S and Balasubramanian, Vineeth N and Sun, Q and Panchanathan, S and Ye, J (2015) Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (10). pp. 1945-1958. ISSN 0162-8828

Chakraborty, S and Balasubramanian, Vineeth N and Panchanathan, S (2015) Adaptive Batch Mode Active Learning. IEEE Transactions on Neural Networks and Learning Systems, 26 (8). pp. 1747-1760. ISSN 2162-237X

Balasubramanian, Vineeth N and Chakraborty, S and Panchanathan, S (2015) Conformal predictions for information fusion - A comparative study of p-value combination methods. Annals of Mathematics and Artificial Intelligence, 74 (1). pp. 45-64. ISSN 1012-2443

Book Section

Akilesh, B and Marwah, Tanya and Balasubramanian, Vineeth N and Kumar, Rajamani (2017) On the Relevance of Very Deep Networks for Diabetic Retinopathy Diagnostics. In: Applications of Cognitive Computing Systems and IBM Watson. Springer, Singapore, pp. 47-54. ISBN 9789811064180

Jaiswal, R and Balasubramanian, Vineeth N (2015) Model Selection Using Efficiency of Conformal Predictors. In: Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Lecture Notes in Computer Science (3). Springer International Publishing, Switzerland, pp. 291-300. ISBN 978-3-319-17090-9

Balasubramanian, Vineeth N and Chakraborty, S and Ho, S S and Wechsler, S and Panchanathan, S (2014) Active Learning. In: Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications. Morgan Kaufmann, pp. 49-70. ISBN 978-0-12-398537-8

Balasubramanian, Vineeth N and Lade, P and Venkateswara, H and Smirnov, E and Panchanathan, S (2014) Other Adaptations. In: Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications. Morgan Kaufmann, pp. 167-185. ISBN 978-0-12-398537-8

Conference or Workshop Item

Joseph, J and Pal, Arghya and Rajanala, Sailaja and Balasubramanian, Vineeth N (2019) C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. In: IEEE Winter Conference on Applications of Computer Vision, WACV, 7-11 January 2019, Waikoloa Village, United States.

Srinivasan, Vishwak and Sankar, Adepu Ravi and Balasubramanian, Vineeth N (2018) ADINE: an adaptive momentum method for stochastic gradient descent. In: Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 11-13 January 2018, Goa , India.

Pal, Arghya and Balasubramanian, Vineeth N (2018) Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. In: 31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 18-22 June 2018, Salt Lake City, United States.

Sankar, Adepu Ravi and Balasubramanian, Vineeth N (2018) Are saddles good enough for neural networks. In: Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 11-13, January 2018, Goa ; India.

Chattopadhay, Aditya and Sarkar, Anirban and Howlader, Prantik and Balasubramanian, Vineeth N (2018) Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks. In: IEEE Winter Conference on Applications of Computer Vision (WACV), 12-15 March 2018, USA.

Sakurikar, Parikshit and Mehta, Ishit and Balasubramanian, Vineeth N and Narayanan, P J (2018) RefocusGAN: Scene Refocusing Using a Single Image. In: 15th European Conference on Computer Vision, ECCV, 8-14 September 2018, Germany.

Pandhre, Supriya and Mittal, Himangi and Gupta, Manish and Balasubramanian, Vineeth N (2018) STwalk: learning trajectory representations in temporal graphs. In: Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 11-13, January 2018, Goa ; India.

Bhatt, Dhaivat and Sodhi, Danish and Pal, Arghya and Balasubramanian, Vineeth N and Krishna, Madhava (2017) Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 24-28 September 2017, Vancouver, BC, Canada.

Swetha, Sirnam and Balasubramanian, Vineeth N and Jawahar, C V (2017) Sequence-to-Sequence Learning for Human Pose Correction in Videos. In: 4th IAPR Asian Conference on Pattern Recognition (ACPR), 26-29 November 2017, Nanjing, China.

Kamath, A and Biswas, A and Balasubramanian, Vineeth N (2016) A Crowdsourced Approach to Student Engagement Recognition in e-Learning Environments. In: IEEE Winter Conference on Applications of Computer Vision (WACV), MAR 07-10, 2016, Lake Placid, NY.

Manocha, S and Adepu, R S and Balasubramanian, Vineeth N (2016) Dissimilarity Based Contrastive Divergence for Anomaly Detection. In: 2nd Indian Workshop on Machine Learning, IIT Kanpur. (Submitted)

Singh, D and Balasubramanian, Vineeth N and C V, Jawahar (2016) Fine-tuning human pose estimations in videos. In: IEEE Winter Conference on Applications of Computer Vision (WACV), 7-10 March 2016, Lake Placid, NY.

Pal, A and Khonglah, B K and Mandal, S and Choudhury, H and Prasanna, S R M and Rufiner, H L and Balasubramanian, Vineeth N (2016) Online Bengali Handwritten Numerals Recognition Using Deep Autoencoders. In: 22nd National Conference on Communications (NCC), MAR 04-06, 2016, Guwahati, INDIA.

Chakraborty, S and Balasubramanian, Vineeth N and Adepu, R S and Panchanathan, S and Ye, J (2015) BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification. In: 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

M, Sai Rajeswar and A, Ravi Sankar and Balasubramanian, Vineeth N and C D, Sudheer (2015) Scaling Up the Training of Deep CNNs for Human Action Recognition. In: IEEE International Parallel and Distributed Processing Symposium Workshop (IPDPSW), 1172 - 1177, Hyderabad.

Book

Balasubramanian, Vineeth N and Ho, S S and Vovk, V (2014) Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications. Morgan Kaufmann. ISBN 9780123985378

Thesis

Mehak, Mehak and Balasubramanian, Vineeth N (2018) Knowledge Distillation from Multiple Teachers using Visual Explanations. Masters thesis, Indian Institute of Technology Hyderabad.

Singh, Krishna Kant and Balasubramanian, Vineeth N (2018) Submodular Importance Sampling for Neural Network Training. Masters thesis, Indian Institute of Technology Hyderabad.

Pandhre, Supriya and Balasubramanian, Vineeth N (2018) Understanding Graph Data Through Deep Learning Lens. Masters thesis, Indian Institute of Technology Hyderabad.

This list was generated on Fri May 24 21:15:22 2019 IST.