| Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks A Chattopadhay, A Sarkar, P Howlader, VN Balasubramanian 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 839-847, 2018 | 4353 | 2018 |
| Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks A Chattopadhay, A Sarkar, P Howlader, VN Balasubramanian 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 839-847, 2018 | 4353 | 2018 |
| Towards open world object detection KJ Joseph, S Khan, FS Khan, VN Balasubramanian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 768 | 2021 |
| Charting the right manifold: Manifold mixup for few-shot learning P Mangla, N Kumari, A Sinha, M Singh, B Krishnamurthy, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 506 | 2020 |
| Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications V Balasubramanian, SS Ho, V Vovk Newnes, 2014 | 441 | 2014 |
| Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications V Balasubramanian, SS Ho, V Vovk Newnes, 2014 | 441 | 2014 |
| Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications V Balasubramanian, SS Ho, V Vovk Newnes, 2014 | 441 | 2014 |
| DAiSEE: Towards User Engagement Recognition in the Wild A D'Cunha, A Gupta, K Awasthi, V Balasubramanian arXiv preprint arXiv:1609.01885, 2016 | 263 | 2016 |
| DAiSEE: Towards user engagement recognition in the wild A Gupta, A D’Cunha, K Awasthi, V Balasubramanian arXiv preprint arXiv:1609.01885, 2016 | 262 | 2016 |
| Deep Model Compression: Distilling Knowledge from Noisy Teachers BB Sau, VN Balasubramanian arXiv preprint arXiv:1610.09650, 2016 | 241 | 2016 |
| Biased manifold embedding: A framework for person-independent head pose estimation VN Balasubramanian, J Ye, S Panchanathan 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007 | 238 | 2007 |
| Neural network attributions: A causal perspective A Chattopadhyay, P Manupriya, A Sarkar, VN Balasubramanian International Conference on Machine Learning, 981-990, 2019 | 209 | 2019 |
| Visdrone-det2018: The vision meets drone object detection in image challenge results P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, Q Nie, H Cheng, C Liu, X Liu, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 201 | 2018 |
| Borrow from anywhere: Pseudo multi-modal object detection in thermal imagery C Devaguptapu, N Akolekar, M M Sharma, V N Balasubramanian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 184 | 2019 |
| Incremental object detection via meta-learning KJ Joseph, J Rajasegaran, S Khan, FS Khan, VN Balasubramanian IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9209 …, 2021 | 169 | 2021 |
| 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 2008 IEEE International Workshop on Haptic Audio visual Environments and …, 2008 | 140 | 2008 |
| Automatic estimation of heading date of paddy rice using deep learning SV Desai, VN Balasubramanian, T Fukatsu, S Ninomiya, W Guo Plant Methods 15 (1), 76, 2019 | 115 | 2019 |
| Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey AL Chandra, SV Desai, W Guo, VN Balasubramanian arXiv preprint arXiv:2006.11391, 2020 | 102 | 2020 |
| Evaluating and mitigating bias in image classifiers: A causal perspective using counterfactuals S Dash, VN Balasubramanian, A Sharma Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 101 | 2022 |
| 2018 IEEE winter conference on applications of computer vision (WACV) A Chattopadhay, A Sarkar, P Howlader, VN Balasubramanian Grad‐CAM++: Generalized Gradient‐Based Visual Explanations for Deep …, 2018 | 101 | 2018 |
