Browse by IITH Authors

Jandial, Surgan and Khasbage, Yash and Pal, Arghya and Krishnamurthy, Balaji and Balasubramanian, Vineeth N (2023) RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. In: 6th ACM India Joint International Conference on Data Science and Management of Data, CODS-COMAD 2023, 4-7 January 2023, Mumbai.

Mangla, Puneet and Chandhok, Shivam and Balasubramanian, Vineeth N and et al, . (2022) COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. In: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 4 January 2022 through 8 January 2022, Waikoloa.

Mangla, Puneet and Kumari, Nupur and Singh, Mayank and Krishnamurthy, Balaji and Balasubramanian, Vineeth N (2022) Data InStance Prior (DISP) in Generative Adversarial Networks. In: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 4 January 2022 through 8 January 2022, Waikoloa.

Dash, Saloni and Balasubramanian, Vineeth N and Sharma, Amit (2022) Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals. In: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 4 January 2022 through 8 January 2022, Waikoloa.

Rai, Shyam Nandan and Saluja, Rohit and Arora, Chetan and Balasubramanian, Vineeth N and et al, . (2022) FLUID: Few-Shot Self-Supervised Image Deraining. In: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 4 January 2022 through 8 January 2022, Waikoloa.

Sarkar, Anirban and Vijaykeerthy, Deepak and Sarkar, Anindya and Balasubramanian, Vineeth N (2022) A Framework for Learning Ante-hoc Explainable Models via Concepts. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, 19-24 June 2022, New Orleans.

Rawat, Shivangana and Chandra, Akshay L. and Desai, Sai Vikas and Balasubramanian, Vineeth N and et al, . (2022) How Useful Is Image-Based Active Learning for Plant Organ Segmentation? Plant Phenomics, 2022. pp. 1-11. ISSN 2643-6515

Sarkar, Anindya and Sarkar, Anirban and Balasubramanian, Vineeth N (2022) Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise. In: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 4 January 2022 through 8 January 2022, Waikoloa.

Garg, Prachi and Saluja, Rohit and Balasubramanian, Vineeth N and Arora, Chetan and Subramanian, Anbumani and Jawahar, C.V. (2022) Multi-Domain Incremental Learning for Semantic Segmentation. In: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 4 January 2022 through 8 January 2022, Waikoloa.

Khindkar, Vaishnavi and Arora, Chetan and Balasubramanian, Vineeth N and Subramanian, Anbumani and Saluja, Rohit and Jawahar, C. V. (2022) To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors. In: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 4 January 2022 through 8 January 2022, Waikoloa.

Bharti, Aditya and Balasubramanian, Vineeth N and Jawahar, C. V. (2022) Towards Label-Free Few-Shot Learning: How Far Can We Go? In: 6th International Conference on Computer Vision and Image Processing, CVIP 2021, 3 December 2021 through 5 December 2021, Virtual, Online.

Kamath, Sandesh and Deshpande, Amit and Subrahmanyam, K V and Balasubramanian, Vineeth N (2022) Universalization of Any Adversarial Attack using Very Few Test Examples. In: 5th ACM India Joint 9th ACM IKDD Conference on Data Science and 27th International Conference on Management of Data, CODS-COMAD 2022, 7 January 2022 through 10 January 2022, Virtual, Online.

Kuchibhotla, Hari Chandana and Malagi, Sumitra S and Chandhok, Shivam and Balasubramanian, Vineeth N (2022) Unseen Classes at a Later Time? No Problem. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, 19 - 24 June 2022, New Orleans.

Mangla, Puneet and Singh, Vedant and Balasubramanian, Vineeth N. (2021) On Saliency Maps and Adversarial Robustness. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12458. pp. 272-288. ISSN 0302-9743

Kumar, A. and Desai, S.V. and Balasubramanian, V.N. and Rajalakshmi, P. and Guo, W. and Balaji Naik, B. and Balram, M. and Desai, U.B. (2021) Efficient Maize Tassel-Detection Method using UAV based remote sensing. Remote Sensing Applications: Society and Environment, 23. ISSN 23529385

Panda, P. and Kancheti, S.S. and Balasubramanian, V.N. (2021) Instance-wise causal feature selection for model interpretation. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 19 June 2021 through 25 June 2021, Virtual, Online.

Dua, R. and Kancheti, S.S and Balasubramanian, V.N (2021) Beyond VQA: Generating multi-word answers and rationales to visual questions. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 19 June 2021 through 25 June 2021, Virtual, Online.

Kamath, Sandesh and Deshpande, Amit and Balasubramanian, Vineeth N and et al, . (2021) Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks. In: 35th Conference on Neural Information Processing Systems, NeurIPS 2021, 6 December 2021 through 14 December 2021, Virtual, Online.

John, Thrupthi Ann and Balasubramanian, Vineeth N and Jawahar, C. V. (2021) Canonical Saliency Maps: Decoding Deep Face Models. IEEE Transactions on Biometrics, Behavior, and Identity Science, 3 (4). pp. 561-572. ISSN 2637-6407

Sankar, Adepu Ravi and Khasbage, Yash and Vigneswaran, Rahul and Balasubramanian, Vineeth N (2021) A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization. In: 35th AAAI Conference on Artificial Intelligence, AAAI 2021, 2 February 2021 through 9 February 2021, Virtual, Online.

Kumar, Ajay and Desai, Sai Vikas and Balasubramanian, Vineeth N. and Rajalakshmi, P. and Guo, Wei and Balaji Naik, B. and Balram, M. and Desai, Uday B. (2021) Efficient Maize Tassel-Detection Method using UAV based remote sensing. Remote Sensing Applications: Society and Environment, 23. p. 100549. ISSN 23529385

Sarkar, A. and Sarkar, A. and Balasubramanian, Vineeth N (2021) Enhanced Regularizers for Attributional Robustness. In: 35th AAAI Conference on Artificial Intelligence, AAAI 2021, 2 February 2021 through 9 February 2021, Virtual, Online.

Vigneswaran, Rahul and Law, Marc T. and Balasubramanian, Vineeth N. and Tapaswi, Makarand (2021) Feature generation for long-tail classification. In: 12th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2021, 20 December 2021 through 22 December 2021, Virtual, Online.

Sarkar, A. and Sarkar, A. and Gali, S. and Balasubramanian, Vineeth N (2021) Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach. In: 35th Conference on Neural Information Processing Systems, NeurIPS 2021, 6 December 2021 through 14 December 2021, Virtual, Online.

Kj, Joseph and Rajasegaran, Jathushan and Khan, Salman and Khan, Fahad Shahbaz and Balasubramanian, Vineeth N (2021) Incremental Object Detection via Meta-Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. p. 1. ISSN 0162-8828

Devaguptapu, Chaitanya and Agarwal, Devansh and Mittal, Gaurav and Gopalani, Pulkit and Balasubramanian, Vineeth N (2021) On Adversarial Robustness: A Neural Architecture Search perspective. In: 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, 11 October 2021 through 17 October 2021, Virtual, Online.

Mangla, Puneet and Singh, Vedant and Havaldar, Shreyas and Balasubramanian, Vineeth N (2021) On the benefits of defining vicinal distributions in latent space. Pattern Recognition Letters, 152. pp. 382-390. ISSN 0167-8655

V, Varshaneya and S, Balasubramanian and Balasubramanian, Vineeth N (2021) Teaching GANs to sketch in vector format. In: 12th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2021, 20 December 2021 through 22 December 2021, Virtual, Online.

Joseph, K J and Khan, Salman and Khan, Fahad Shahbaz and Balasubramanian, Vineeth N (2021) Towards Open World Object Detection. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021, 19 June 2021through 25 June 2021, Virtual, Online.

Chandhok, Shivam and Balasubramanian, Vineeth N (2021) Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning. In: 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021, 5 January 2021 through 9 January 2021, Virtual, Online.

Joseph, K.J. and Balasubramanian, Vineeth N (2020) Meta-consolidation for continual learning. Advances in Neural Information Processing Systems. ISSN 10495258

Chandra, Akshay L and Desai, Sai Vikas and Balasubramanian, Vineeth N and et al, . (2020) Active learning with point supervision for cost-effective panicle detection in cereal crops. Plant Methods, 16. ISSN 1746-4811

Singh, Mayank and Kumari, Nupur and Mangla, Puneet and Sinha, Abhishek and Balasubramanian, Vineeth N. and Krishnamurthy, Balaji (2020) Attributional Robustness Training Using Input-Gradient Spatial Alignment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12372. pp. 515-533. ISSN 0302-9743

Mangla, Puneet and Singh, Mayank and Sinha, Abhishek and Kumari, Nupur and Balasubramanian, Vineeth N and Krishnamurthy, Balaji (2020) Charting the Right Manifold: Manifold Mixup for Few-shot Learning. In: Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, 1 March 2020 - 5 March 2020.

Sinha, Vaibhav B. and Kudugunta, Sneha and Sankar, Adepu Ravi and Chavali, Surya Teja and Balasubramanian, Vineeth N. (2020) DANTE: Deep alternations for training neural networks. Neural Networks, 131. pp. 127-143. ISSN 08936080

Kim, Kee-Eung and Balasubramanian, Vineeth N. (2020) Foreword: special issue for the journal track of the 12th Asian conference on machine learning (ACML 2020). Machine Learning, 109 (12). pp. 2243-2245. ISSN 0885-6125

Ravindranath, Saurabh and Baburaj, Rahul and Balasubramanian, Vineeth N and et al, . (2020) Human-Machine Collaboration for Face Recognition. In: Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, Hyderabad India.

Machiraju, Harshitha and Balasubramanian, Vineeth N (2020) A Little Fog for a Large Turn. In: Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, 1 March 2020 - 5 March 2020.

Gupta, Dikshant and Anantharaman, Aditya and Balasubramanian, Vineeth N and et al, . (2020) A Multi-Space Approach to Zero-Shot Object Detection. In: The IEEE Winter Conference on Applications of Computer Vision (WACV), 1-5 March 2020, Colorado.

Gupta, Dikshant and Anantharaman, Aditya and Mamgain, Nehal and S, Sowmya Kamath and Balasubramanian, Vineeth N and Jawahar, C.V. (2020) A Multi-Space Approach to Zero-Shot Object Detection. In: Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, 1 March 2020 - 5 March 2020.

Rai, Shyam Nandan and Balasubramanian, Vineeth N and Subramanian, Anbumani and et al, . (2020) Munich to Dubai: How far is it for Semantic Segmentation? In: The IEEE Winter Conference on Applications of Computer Vision (WACV), 1-5 March 2020, Colorado.

Rai, Shyam Nandan and Balasubramanian, Vineeth N and Subramanian, Anbumani and Jawahar, C. V. (2020) Munich to Dubai: How far is it for Semantic Segmentationƒ. In: Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, 1 March 2020 - 5 March 2020.

Jandial, Surgan and Chopra, Ayush and Sarkar, Mausoom and Gupta, Piyush and Krishnamurthy, Balaji and Balasubramanian, Vineeth (2020) Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 23 August 2020 - 27 August 2020.

Varshney, Sakshi and Srijith, P. K. and Balasubramanian, Vineeth N. (2020) STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse. In: 27th International Conference on Neural Information Processing, ICONIP 2020, 18-22 November 2020, Bangkok.

Vikas Desai, Sai and Balasubramanian, Vineeth N (2020) Towards Fine-grained Sampling for Active Learning in Object Detection. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 14 June 2020 - 19 June 2020.

Desai, S.V. and Lagandula, A.C. and Guo, W. and Ninomiya, S. and Balasubramanian, Vineeth N (2020) An adaptive supervision framework for active learning in object detection. In: 30th British Machine Vision Conference, BMVC 2019, 9 September 2019through 12 September 2019, Cardiff.

Balasubramanian, Vineeth N (2019) IIT Hyderabad Researchers Develop Method To Understand AI Models. NDTV.

Balasubramanian, Vineeth N (2019) IIT Hyderabad Researchers Develop New Method To Understand Causality In Deep Learning. Analytics India Magazine.

Lagandula, Akshay Chandra and Desai, Sai Vikas and Balasubramanian, Vineeth N and et al, . (2019) Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops. arXiv.org.

Desai, Sai Vikas and Lagandula, Akshay Chandra and Balasubramanian, Vineeth N and et al, . (2019) An Adaptive Supervision Framework for Active Learning in Object Detection. arXiv.org.

Mangla, Puneet and Balasubramanian, Vineeth N and Varshney, Sakshi and et al, . (2019) AdvGAN++ : Harnessing latent layers for adversary generation. arXiv.org.

Desai, Sai Vikas and Balasubramanian, Vineeth N and Fukatsu, Tokihiro and et al, . (2019) Automatic estimation of heading date of paddy rice using deep learning. Plant Methods, 15 (1). ISSN 1746-4811

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

Devaguptapu, Chaitanya and Ninad, Akolekar and Manuj M, Sharma and Balasubramanian, Vineeth N (2019) Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery. arXiv. pp. 1-10.

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.

Mangla, Puneet and Balasubramanian, Vineeth N and Singh, Mayank and et al, . (2019) Charting the Right Manifold: Manifold Mixup for Few-shot Learning. arXiv.org.

Sinha, Abhishek and Balasubramanian, Vineeth N and Machiraju, Harshitha et. al. (2019) Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. arXiv.

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)

Balasubramanian, Vineeth N and Chunilal Patel, Rajiv and Srivastava, Amit and et al, . (2019) MASON: A Model AgnoStic ObjectNess Framework. In: 15th European Conference on Computer Vision, ECCV, 8-14 September 2018, Germany.

Chattopadhyay, Aditya and Manupriya, Piyushi and Balasubramanian, Vineeth N and et al, . (2019) Neural Network Attributions: A Causal Perspective. In: Proceedings of the 36th International Conference on Machine Learning (ICML), 9-15 June 2019, California, U S.

Singh, Mayank and Mangla, Puneet and Balasubramanian, Vineeth N and et al, . (2019) On the Benefits of Attributional Robustness. arXiv.org.

Kasarla, Tejaswi and Nagendar, G and Hegde, Guruprasad M and Balasubramanian, Vineeth N and Jawahar, C V (2019) Region-based active learning for efficient labeling in semantic segmentation. In: 19th IEEE Winter Conference on Applications of Computer Vision, WACV, 7-11 January 2019, Waikoloa Village; United States.

Sankar, Adepu Ravi and Balasubramanian, Vineeth N (2019) Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models. In: Proceedings of The 7th Asian Conference on Machine Learning, 20-22 November 2015, Hong Kong.

Joseph, K J and Vamsi, Teja R and Singh, Krishnakant and Balasubramanian, Vineeth N (2019) Submodular Batch Selection for Training Deep Neural Networks. arXiv.org.

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

Mamgain, Nehal and Balasubramanian, Vineeth N (2019) Zero-Shot Object Detection. Masters thesis, Indian institute of technology Hyderabad.

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

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.

Desai, Sai Vikas and Taparia, Mahesh and Rajalakshmi, P and et al, . (2018) AI Based High Throughput Crop Phenotyping using Drone and Static Images. In: Workshop on AI and Its Impact on Society in Developing Nations, AAAI Chapter India, 21 December 2018, Hyderabad, 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.

Balasubramanian, Vineeth N and Sinha, Vaibhav B and Rao, Sukrut (2018) Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification,. In: Sentiment Discovery and Opinion Mining at ACM SIGKDD, August 2018, London, UK.

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

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.

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

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

Jawahar, C V and Balasubramanian, Vineeth N and Nagendar, G and et al, . (2018) NeuroIoU: Learning a Surrogate Loss for Semantic Segmentation. In: 29th British Machine Vision Conference, BMVC, 3-6 September 2018, Newcastle, United Kingdom.

Balasubramanian, Vineeth N and Adepu, R S and Srinivasan, Vishwak (2018) On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks,. In: Workshop on Theory of Deep Learning and Workshop on Non-Convex Optimization at International Conference on Machine Learning (ICML), July 2018, Stockhlom,Sweden.

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.

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.

Zhu, Pengfei and Wen, Longyin and Du, Dawei and Joseph, J and Mamgain, Nehal and Balasubramanian, Vineeth N and et al, . (2018) VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. In: Computer Vision – ECCV 2018 Workshops. Lecture Notes in Computer Science, 5 (11133). Springer, pp. 437-468. ISBN 9783030110208

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.

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.

Jain, Mausam and Balasubramanian, Vineeth N (2017) Learning Hierarchical Representations of Graphs using Neural Network Techniques. Masters thesis, Indian Institute of Technology Hyderabad.

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

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.

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.

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.

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.

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.

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

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

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.

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

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

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.

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

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

Chakraborty, S and Zhou, J and Balasubramanian, V and et al, . (2013) Active Matrix completion. In: Proceedings of the Ieee International conference on data Mining, Dallas, USA.

Lade, P and Balasubramanian, Vineeth N and Panchanathan, S (2013) Detection of changes in human affect dimensions using an Adaptive Temporal Topic model. In: IEEE International Conference on Multimedia and Expo (ICME), 15-19 July 2013, San Jose, CA, USA.

Lade, P and Balasubramanian, Vineeth N and Sethuraman, Panchanathan (2013) Latent Facial Topics for affect analysis. In: IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 15-19 July 2013, San Jose, CA, USA.

Venkateswara, H and Panchanathan, S and Balasubramanian, Vineeth N (2013) Multiresolution Match Kernels for Gesture Video Classification. In: 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 15-19 July 2013, San Jose, CA, USA.

Lade, P and Balasubramanian, Vineeth N and Panchanathan, S (2013) Probabilistic topic Models for human emotion analysis. In: application and evaluation at neural Information Processing systems, Lake Tahoe, USA.

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