| Switching convolutional neural network for crowd counting D Babu Sam, S Surya, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1183 | 2017 |
| DeepFuse: A Deep Unsupervised Approach for Exposure Fusion With Extreme Exposure Image Pairs KR Prabhakar, VS Srikar, RV Babu The IEEE International Conference on Computer Vision (ICCV), 4714-4722, 2017 | 795 | 2017 |
| Data-free parameter pruning for deep neural networks S Suraj, R Venkatesh Babu British Machine Vision Conference, 2015 | 714* | 2015 |
| Crowdnet: A deep convolutional network for dense crowd counting L Boominathan, SSS Kruthiventi, RV Babu Proceedings of the 24th ACM international conference on Multimedia, 640-644, 2016 | 683 | 2016 |
| Deepfix: A fully convolutional neural network for predicting human eye fixations SSS Kruthiventi, K Ayush, RV Babu IEEE Transactions on Image Processing 26 (9), 4446-4456, 2017 | 616 | 2017 |
| Universal source-free domain adaptation JN Kundu, N Venkat, RV Babu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 394 | 2020 |
| Deligan: Generative adversarial networks for diverse and limited data S Gurumurthy, R Kiran Sarvadevabhatla, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 367 | 2017 |
| A taxonomy of deep convolutional neural nets for computer vision S Srinivas, RK Sarvadevabhatla, KR Mopuri, N Prabhu, SSS Kruthiventi, ... Frontiers in Robotics and AI 2, 172022, 2016 | 358* | 2016 |
| Locate, size, and count: accurately resolving people in dense crowds via detection DB Sam, SV Peri, MN Sundararaman, A Kamath, RV Babu IEEE transactions on pattern analysis and machine intelligence 43 (8), 2739-2751, 2020 | 302 | 2020 |
| Zero-shot knowledge distillation in deep networks GK Nayak, KR Mopuri, V Shaj, VB Radhakrishnan, A Chakraborty International Conference on Machine Learning, 4743-4751, 2019 | 299 | 2019 |
| No-reference image quality assessment using modified extreme learning machine classifier S Suresh, RV Babu, HJ Kim Applied soft computing 9 (2), 541-552, 2009 | 294 | 2009 |
| Fast feature fool: A data independent approach to universal adversarial perturbations KR Mopuri, U Garg, RV Babu Proceedings of British Machine Vision Conference (BMVC), 2017 | 273 | 2017 |
| Divide and grow: Capturing huge diversity in crowd images with incrementally growing cnn DB Sam, NN Sajjan, RV Babu, M Srinivasan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 269 | 2018 |
| Generalizable data-free objective for crafting universal adversarial perturbations KR Mopuri, A Ganeshan, RV Babu IEEE transactions on pattern analysis and machine intelligence 41 (10), 2452 …, 2018 | 256 | 2018 |
| Training sparse neural networks S Srinivas, A Subramanya, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 253 | 2017 |
| 3D-LMNet: Latent embedding matching for accurate and diverse 3D point cloud reconstruction from a single image P Mandikal, KL Navaneet, M Agarwal, RV Babu Proceedings of British Machine Vision Conference, 2018 | 232* | 2018 |
| Adadepth: Unsupervised content congruent adaptation for depth estimation JN Kundu, PK Uppala, A Pahuja, RV Babu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 214 | 2018 |
| Nag: Network for adversary generation KR Mopuri, U Ojha, U Garg, RV Babu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 210 | 2018 |
| Video object segmentation: a compressed domain approach RV Babu, KR Ramakrishnan, SH Srinivasan IEEE Transactions on Circuits and Systems for Video Technology 14 (4), 462-474, 2004 | 208 | 2004 |
| Saliency unified: A deep architecture for simultaneous eye fixation prediction and salient object segmentation SSS Kruthiventi, V Gudisa, JH Dholakiya, RV Babu Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 184 | 2016 |
Jogendra Nath KunduResearch Scientist, MetaVerified email at iisc.ac.in
