| Switching convolutional neural network for crowd counting DB Sam, S Surya, RV Babu 2017 IEEE conference on computer vision and pattern recognition (CVPR), 4031 …, 2017 | 1148 | 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 | 924 | 2017 |
| Data-free parameter pruning for deep neural networks S Suraj, R Venkatesh Babu British Machine Vision Conference, 2015 | 753* | 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 | 714 | 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 | 643 | 2017 |
| Universal source-free domain adaptation JN Kundu, N Venkat, RV Babu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 467 | 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 | 418 | 2017 |
| 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 | 353 | 2020 |
| 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 | 326 | 2016 |
| 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 | 321 | 2019 |
| 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 | 305 | 2017 |
| 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 | 291 | 2009 |
| 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 | 287 | 2018 |
| 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 | 278 | 2018 |
| Training sparse neural networks S Srinivas, A Subramanya, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 276 | 2017 |
| Nag: Network for adversary generation KR Mopuri, U Ojha, U Garg, RV Babu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 227 | 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 | 224 | 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 | 212 | 2004 |
| A closer look at smoothness in domain adversarial training H Rangwani, SK Aithal, M Mishra, A Jain, VB Radhakrishnan International conference on machine learning, 18378-18399, 2022 | 203 | 2022 |
| 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 | 202 | 2018 |
Jogendra Nath KunduResearch Scientist, MetaVerified email at iisc.ac.in
