R. Venkatesh Babu

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Jogendra Nath KunduResearch Scientist, MetaVerified email at iisc.ac.in
Konda Reddy MopuriIndian Institute of Technology HyderabadVerified email at ai.iith.ac.in
Ravi Kiran SarvadevabhatlaAssistant Professor, Centre for Visual Information Technology, IIIT-Hyderabad, IndiaVerified email at iiit.ac.in
Suraj SrinivasPostdoctoral Research Fellow at Harvard UniversityVerified email at seas.harvard.edu
K. R. RamakrishnanIndian Institute of ScienceVerified email at ee.iisc.ernet.in
Varun JampaniResearcher, Google ResearchVerified email at google.com
Suresh SundaramDepartment of Aerospace Engineering, Indian Institute of ScienceVerified email at iisc.ac.in
Anirban ChakrabortyIndian Institute of Science, BangaloreVerified email at iisc.ac.in
Srinivas Kruthiventi S SIndian Institute of Science, BangaloreVerified email at ssl.serc.iisc.in
K Ram PrabhakarJohns Hopkins UniversityVerified email at jh.edu
Sravanti AddepalliPhD Student, Indian Institute of Science, BangaloreVerified email at iisc.ac.in
S Avinash RamakanthVerified email at ssl.serc.iisc.in
Andrew PerkisProfessor of media technology, Director of NTNU ARTECVerified email at ntnu.no
Naveen VenkatSr. Research Scientist, RunwayVerified email at runwayml.com
Priyanka MandikalGraduate Student in Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
K L NavaneetUniversity of California, DavisVerified email at ucdavis.edu
Sovan BiswasIntel Labs, Past: Universität Bonn, Indian Institute of Science Bangalore, IBM Research IndiaVerified email at intel.com
Aditya GaneshanBrown UniversityVerified email at brown.edu
B.S. VivekIndian Institute of ScienceVerified email at iisc.ac.in
Utsav GargMSML student at CMUVerified email at andrew.cmu.edu

R. Venkatesh Babu

CDS, Indian Institute of Science, Bangalore, India

Verified email at iisc.ac.in - Homepage

Computer Vision Deep Learning Image Processing Video Analytics Machine Learning


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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	903	2017
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	562	2016
Data-free parameter pruning for deep neural networks S Suraj, R Venkatesh Babu Proceedings of the British Machine Vision Conference 2015 (BMVC 2015), 7-10, 2015	543*	2015
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	508	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	471	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	279	2009
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	274*	2016
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	266	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	214	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
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	204	2017
Universal source-free domain adaptation JN Kundu, N Venkat, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	181	2020
Training sparse neural networks S Srinivas, A Subramanya, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2017	175	2017
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	172	2019
Robust tracking with motion estimation and local kernel-based color modeling RV Babu, P Perez, P Bouthemy Image and Vision computing 25 (8), 1205-1216, 2007	168	2007
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	167	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	165	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	165	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	156	2020
Seamseg: Video object segmentation using patch seams S Avinash Ramakanth, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2014	148	2014

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