R. Venkatesh Babu

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R. Venkatesh Babu

CDS, Indian Institute of Science, Bangalore, India

Geverifieerd e-mailadres voor iisc.ac.in - Homepage

Computer Vision Deep Learning Artificial Intelligence Image Processing Machine Learning


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
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	1008	2017
Data-free parameter pruning for deep neural networks S Suraj, R Venkatesh Babu arXiv preprint, 2015	624*	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	619	2016
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	584	2017
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	558	2017
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	309	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, 36, 2016	302*	2016
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	284	2009
Universal source-free domain adaptation JN Kundu, N Venkat, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	269	2020
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	239	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	234	2018
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	217	2019
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	209	2020
Training sparse neural networks S Srinivas, A Subramanya, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2017	207	2017
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	207	2004
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	199	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	184	2018
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 arXiv preprint arXiv:1807.07796, 2018	179*	2018
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	174	2016
Nag: Network for adversary generation KR Mopuri, U Ojha, U Garg, RV Babu Proceedings of the IEEE conference on computer vision and pattern …, 2018	171	2018

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