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ORCIDVenkatesh Babu Radhakrishnan
Venkatesh Babu R. – R. Venkatesh Babu – Radhakrishnan Venkatesh Babu
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2020 – today
- 2024
[c179]Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu:
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation. WACV 2024: 1893-1902- [c178]M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty:
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. WACV 2024: 2276-2285 - [i114]Rishubh Parihar, Abhijnya Bhat, Saswat Mallick, Abhipsa Basu, Jogendra Nath Kundu, R. Venkatesh Babu:
Balancing Act: Distribution-Guided Debiasing in Diffusion Models. CoRR abs/2402.18206 (2024) - [i113]Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan:
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. CoRR abs/2403.18301 (2024) - 2023
- [c177]Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu:
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CVPR Workshops 2023: 2298-2305 - [c176]Prasanna B, Sunandini Sanyal, R. Venkatesh Babu:
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. CVPR Workshops 2023: 2457-2463 - [c175]Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs. CVPR 2023: 5987-5996 - [c174]Abhipsa Basu, Sravanti Addepalli, R. Venkatesh Babu:
RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases. CVPR 2023: 11671-11680 - [c173]Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu:
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CVPR 2023: 16048-16059 - [c172]Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi:
Inspecting the Geographical Representativeness of Images from Text-to-Image Models. ICCV 2023: 5113-5124 - [c171]Ankit Dhiman, R. Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu:
Strata-NeRF : Neural Radiance Fields for Stratified Scenes. ICCV 2023: 17557-17568 - [c170]Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu:
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation. ICCV 2023: 18882-18891 - [c169]Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain:
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks. ICLR 2023 - [i112]Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu:
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CoRR abs/2302.14685 (2023) - [i111]K. Ram Prabhakar, Vishal Vinod, Nihar Ranjan Sahoo, R. Venkatesh Babu:
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. CoRR abs/2303.15528 (2023) - [i110]Rahul Chand, Rajat Arora, K. Ram Prabhakar, R. Venkatesh Babu:
CapsFlow: Optical Flow Estimation with Capsule Networks. CoRR abs/2304.00306 (2023) - [i109]Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs. CoRR abs/2304.05866 (2023) - [i108]Prasanna B, Sunandini Sanyal, R. Venkatesh Babu:
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. CoRR abs/2304.07560 (2023) - [i107]Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu:
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CoRR abs/2304.10446 (2023) - [i106]Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan:
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. CoRR abs/2304.14738 (2023) - [i105]Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi:
Inspecting the Geographical Representativeness of Images from Text-to-Image Models. CoRR abs/2305.11080 (2023) - [i104]Rishubh Parihar, Raghav Magazine, Piyush Tiwari, R. Venkatesh Babu:
We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space. CoRR abs/2306.00559 (2023) - [i103]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing. CoRR abs/2306.06462 (2023) - [i102]Ankit Dhiman, Srinath R, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu:
Strata-NeRF : Neural Radiance Fields for Stratified Scenes. CoRR abs/2308.10337 (2023) - [i101]Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu:
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation. CoRR abs/2308.14023 (2023) - [i100]Ankit Dhiman, R. Srinath, Srinjay Sarkar, Lokesh R. Boregowda, R. Venkatesh Babu:
CoRF : Colorizing Radiance Fields using Knowledge Distillation. CoRR abs/2309.07668 (2023) - [i99]Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu:
Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks. CoRR abs/2310.08255 (2023) - [i98]Rishubh Parihar, Prasanna Balaji, Raghav Magazine, Sarthak Vora, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
Exploring Attribute Variations in Style-based GANs using Diffusion Models. CoRR abs/2311.16052 (2023) - [i97]Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu:
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation. CoRR abs/2311.16294 (2023) - 2022
- [c168]Jogendra Nath Kundu, Akshay R. Kulkarni
, Suvaansh Bhambri, Varun Jampani, Venkatesh Babu Radhakrishnan:
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. AAAI 2022: 1220-1227 - [c167]Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan:
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. AAAI 2022: 2162-2170 - [c166]Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh, R. Venkatesh Babu:
SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. CVPR Workshops 2022: 22-32 - [c165]Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu:
Towards Data-Free Model Stealing in a Hard Label Setting. CVPR 2022: 15263-15272 - [c164]Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CVPR 2022: 20416-20427 - [c163]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu:
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. ECCV (30) 2022: 177-194 - [c162]Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel:
Completely Self-supervised Crowd Counting via Distribution Matching. ECCV (31) 2022: 186-204 - [c161]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Scaling Adversarial Training to Large Perturbation Bounds. ECCV (5) 2022: 301-316 - [c160]Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
Improving GANs for Long-Tailed Data Through Group Spectral Regularization. ECCV (15) 2022: 426-442 - [c159]Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Kumar Singh, R. Venkatesh Babu:
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. ECCV (15) 2022: 443-459 - [c158]Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu:
Towards Efficient and Effective Self-supervised Learning of Visual Representations. ECCV (31) 2022: 523-538 - [c157]Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Anand Kulkarni, Varun Jampani, Venkatesh Babu Radhakrishnan:
Balancing Discriminability and Transferability for Source-Free Domain Adaptation. ICML 2022: 11710-11728 - [c156]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan:
A Closer Look at Smoothness in Domain Adversarial Training. ICML 2022: 18378-18399 - [c155]Deepak Babu Sam, Jimmy Joseph, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan:
Dense or Sparse: Crowd Counting with Binary Supervision. ICVGIP 2022: 50:1-50:9 - [c154]Sravanti Addepalli, Samyak Jain, Venkatesh Babu R.:
Efficient and Effective Augmentation Strategy for Adversarial Training. NeurIPS 2022 - [c153]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, Venkatesh Babu R.:
Subsidiary Prototype Alignment for Universal Domain Adaptation. NeurIPS 2022 - [c152]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Venkatesh Babu R.:
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. NeurIPS 2022 - [c151]Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.:
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. NeurIPS 2022 - [c150]Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu:
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. WACV 2022: 3046-3055 - [i96]Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, R. Venkatesh Babu:
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. CoRR abs/2202.04287 (2022) - [i95]Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Kumar Singh, R. Venkatesh Babu:
SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization. CoRR abs/2203.07824 (2022) - [i94]Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CoRR abs/2203.15293 (2022) - [i93]Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, R. Venkatesh Babu:
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. CoRR abs/2204.01276 (2022) - [i92]Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. CoRR abs/2204.01971 (2022) - [i91]Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu:
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. CoRR abs/2204.02958 (2022) - [i90]Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu:
Towards Data-Free Model Stealing in a Hard Label Setting. CoRR abs/2204.11022 (2022) - [i89]Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Anand Kulkarni, Varun Jampani, R. Venkatesh Babu:
Balancing Discriminability and Transferability for Source-Free Domain Adaptation. CoRR abs/2206.08009 (2022) - [i88]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, R. Venkatesh Babu:
A Closer Look at Smoothness in Domain Adversarial Training. CoRR abs/2206.08213 (2022) - [i87]K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Segmentation Guided Deep HDR Deghosting. CoRR abs/2207.01229 (2022) - [i86]Rishubh Parihar, Ankit Dhiman, Tejan Karmali, R. Venkatesh Babu:
Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration. CoRR abs/2207.09855 (2022) - [i85]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu:
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. CoRR abs/2207.13247 (2022) - [i84]Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu:
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. CoRR abs/2208.03764 (2022) - [i83]Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
Improving GANs for Long-Tailed Data through Group Spectral Regularization. CoRR abs/2208.09932 (2022) - [i82]Sravanti Addepalli, Anshul Nasery, R. Venkatesh Babu, Praneeth Netrapalli, Prateek Jain:
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks. CoRR abs/2210.01360 (2022) - [i81]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Scaling Adversarial Training to Large Perturbation Bounds. CoRR abs/2210.09852 (2022) - [i80]Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu:
Towards Efficient and Effective Self-Supervised Learning of Visual Representations. CoRR abs/2210.09866 (2022) - [i79]Sravanti Addepalli, Samyak Jain, R. Venkatesh Babu:
Efficient and Effective Augmentation Strategy for Adversarial Training. CoRR abs/2210.15318 (2022) - [i78]Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu:
Subsidiary Prototype Alignment for Universal Domain Adaptation. CoRR abs/2210.15909 (2022) - [i77]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, R. Venkatesh Babu:
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. CoRR abs/2212.13827 (2022) - 2021
- [j36]Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha Narayanan Sundararaman, Amogh Kamath, R. Venkatesh Babu:
Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2739-2751 (2021) - [j35]K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. IEEE Trans. Computational Imaging 7: 1228-1239 (2021) - [c149]K. Ram Prabhakar, Vishal Vinod, Nihar R. Sahoo, Venkatesh Babu Radhakrishnan:
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. BMVC 2021: 327 - [c148]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. CVPR Workshops 2021: 93-102 - [c147]K. Ram Prabhakar, Gowtham Senthil, Susmit Agrawal, R. Venkatesh Babu, Rama Krishna Sai Subrahmanyam Gorthi:
Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting. CVPR 2021: 4875-4885 - [c146]Jogendra Nath Kundu, Akshay R. Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu:
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. ICCV 2021: 7026-7036 - [c145]Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu:
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. ICCV 2021: 7496-7505 - [c144]Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh:
Deep Implicit Surface Point Prediction Networks. ICCV 2021: 12633-12642 - [c143]Vishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty:
Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions. ICCVW 2021: 1571-1582 - [c142]Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, Venkatesh Babu R.:
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. NeurIPS 2021: 158-171 - [c141]Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, Venkatesh Babu R.:
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. NeurIPS 2021: 4582-4593 - [c140]Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.:
Towards Efficient and Effective Adversarial Training. NeurIPS 2021: 11821-11833 - [c139]Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu:
Class balancing GAN with a classifier in the loop. UAI 2021: 1618-1627 - [i76]Naveen Venkat, Jogendra Nath Kundu, Durgesh Kumar Singh, Ambareesh Revanur, R. Venkatesh Babu:
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation. CoRR abs/2103.11169 (2021) - [i75]Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh:
Deep Implicit Surface Point Prediction Networks. CoRR abs/2106.05779 (2021) - [i74]Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu:
Class Balancing GAN with a Classifier in the Loop. CoRR abs/2106.09402 (2021) - [i73]Jogendra Nath Kundu, Akshay R. Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu:
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. CoRR abs/2108.11249 (2021) - [i72]Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu:
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. CoRR abs/2109.08901 (2021) - [i71]K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. CoRR abs/2112.13050 (2021) - 2020
- [j34]Avishek Majumder, R. Venkatesh Babu, Anirban Chakraborty:
PerSeg : segmenting salient objects from bag of single image perturbations. Multim. Tools Appl. 79(3-4): 2473-2493 (2020) - [j33]Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu:
Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 221-231 (2020) - [j32]Navaneet K. L., Ravi Kiran Sarvadevabhatla, Shashank Shekhar, R. Venkatesh Babu, Anirban Chakraborty:
Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 15: 2375-2385 (2020) - [c138]Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan:
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. AAAI 2020: 3130-3137 - [c137]Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. AAAI 2020: 11312-11319 - [c136]Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty:
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. BigMM 2020: 267-271 - [c135]Surbhi Aggarwal, Jogendra Nath Kundu, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation. BMVC 2020 - [c134]Vivek B. S., Ambareesh Revanur, Naveen Venkat, R. Venkatesh Babu:
Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training. CVPR Workshops 2020: 138-146 - [c133]Vivek B. S., R. Venkatesh Babu:
Single-Step Adversarial Training With Dropout Scheduling. CVPR 2020: 947-956 - [c132]Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu:
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CVPR 2020: 1017-1026 - [c131]Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu:
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. CVPR 2020: 1129-1137 - [c130]Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu:
Adversarial Fooling Beyond "Flipping the Label". CVPR Workshops 2020: 3374-3382 - [c129]Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu:
Universal Source-Free Domain Adaptation. CVPR 2020: 4543-4552 - [c128]Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CVPR 2020: 6151-6161 - [c127]Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu:
Towards Inheritable Models for Open-Set Domain Adaptation. CVPR 2020: 12373-12382 - [c126]Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation. ECCV (13) 2020: 35-52 - [c125]Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu:
Class-Incremental Domain Adaptation. ECCV (13) 2020: 53-69 - [c124]Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Babu Sam, R. Venkatesh Babu, Vishal M. Patel:
Learning to Count in the Crowd from Limited Labeled Data. ECCV (11) 2020: 212-229 - [c123]K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath, R. Venkatesh Babu:
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN. ECCV (21) 2020: 497-513 - [c122]Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Appearance Consensus Driven Self-supervised Human Mesh Recovery. ECCV (1) 2020: 794-812 - [c121]Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee:
Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks. ICIP 2020: 1936-1940 - [c120]K. Ram Prabhakar, Akshaya Ramaswamy, Suvaansh Bhambri, Jayavardhana Gubbi, R. Venkatesh Babu, Balamuralidhar Purushothaman:
CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation. IJCNN 2020: 1-8 - [c119]Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.:
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. NeurIPS 2020 - [c118]Naveen Venkat, Jogendra Nath Kundu, Durgesh Kumar Singh, Ambareesh Revanur, Venkatesh Babu R.:
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation. NeurIPS 2020 - [c117]Jogendra Nath Kundu, Rahul M. V., Jay Patravali, R. Venkatesh Babu:
Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion. WACV 2020: 458-467 - [c116]Jogendra Nath Kundu, Gaurav Singh Rajput, R. Venkatesh Babu:
VRT-Net: Real-Time Scene Parsing via Variable Resolution Transform. WACV 2020: 2038-2045 - [c115]Surbhi Aggarwal, R. Venkatesh Babu, Anirban Chakraborty:
Text-based Person Search via Attribute-aided Matching. WACV 2020: 2606-2614 - [c114]Jogendra Nath Kundu, Himanshu Buckchash, Priyanka Mandikal, Rahul M. V., Anirudh Jamkhandi, Venkatesh Babu R.:
Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions. WACV 2020: 2713-2722 - [c113]Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha N. S., R. Venkatesh Babu:
Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds. WACV 2020: 2853-2861 - [i70]Vivek B. S., R. Venkatesh Babu:
Regularizers for Single-step Adversarial Training. CoRR abs/2002.00614 (2020) - [i69]Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu:
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CoRR abs/2004.00306 (2020) - [i68]Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu:
Towards Inheritable Models for Open-Set Domain Adaptation. CoRR abs/2004.04388 (2020) - [i67]Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu:
Universal Source-Free Domain Adaptation. CoRR abs/2004.04393 (2020) - [i66]Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CoRR abs/2004.04400 (2020) - [i65]Vivek B. S., R. Venkatesh Babu:
Single-step Adversarial training with Dropout Scheduling. CoRR abs/2004.08628 (2020) - [i64]Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu:
Adversarial Fooling Beyond "Flipping the Label". CoRR abs/2004.12771 (2020) - [i63]Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu:
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks. CoRR abs/2005.01939 (2020) - [i62]Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. CoRR abs/2006.14107 (2020) - [i61]Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Babu Sam, R. Venkatesh Babu, Vishal M. Patel:
Learning to Count in the Crowd from Limited Labeled Data. CoRR abs/2007.03195 (2020) - [i60]Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee:
Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks. CoRR abs/2007.15861 (2020) - [i59]Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty:
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. CoRR abs/2008.00878 (2020) - [i58]Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Appearance Consensus Driven Self-Supervised Human Mesh Recovery. CoRR abs/2008.01341 (2020) - [i57]Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation. CoRR abs/2008.01388 (2020) - [i56]Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu:
Class-Incremental Domain Adaptation. CoRR abs/2008.01389 (2020) - [i55]Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel:
Completely Self-Supervised Crowd Counting via Distribution Matching. CoRR abs/2009.06420 (2020) - [i54]Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, R. Venkatesh Babu:
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. CoRR abs/2011.14969 (2020)
2010 – 2019
- 2019
- [j31]Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu:
Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2452-2465 (2019) - [j30]Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu:
CNN Fixations: An Unraveling Approach to Visualize the Discriminative Image Regions. IEEE Trans. Image Process. 28(5): 2116-2125 (2019) - [c112]Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu:
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. AAAI 2019: 8553-8560 - [c111]Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu:
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision. AAAI 2019: 8819-8826 - [c110]Deepak Babu Sam, Neeraj N. Sajjan, Himanshu Maurya, R. Venkatesh Babu:
Almost Unsupervised Learning for Dense Crowd Counting. AAAI 2019: 8868-8875 - [c109]Navaneet K. L., Priyanka Mandikal, Varun Jampani, R. Venkatesh Babu:
DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering. CVPR Workshops 2019: 18-24 - [c108]Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu:
Enhancing Salient Object Segmentation Through Attention. CVPR Workshops 2019: 27-36 - [c107]Vivek B. S., Arya Baburaj, R. Venkatesh Babu:
Regularizer to Mitigate Gradient Masking Effect During Single-Step Adversarial Training. CVPR Workshops 2019: 66-73 - [c106]Navaneet K. L., Vasudha Todi, R. Venkatesh Babu, Anirban Chakraborty:
All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification. ICASSP 2019: 2472-2476 - [c105]K. Ram Prabhakar, Rajat Arora, Adhitya Swaminathan, Kunal Pratap Singh, R. Venkatesh Babu:
A Fast, Scalable, and Reliable Deghosting Method for Extreme Exposure Fusion. ICCP 2019: 1-8 - [c104]Jogendra Nath Kundu, Nishank Lakkakula, Venkatesh Babu Radhakrishnan:
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. ICCV 2019: 1436-1445 - [c103]Aditya Ganeshan, Vivek B. S., Venkatesh Babu Radhakrishnan:
FDA: Feature Disruptive Attack. ICCV 2019: 8068-8078 - [c102]Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, Venkatesh Babu Radhakrishnan:
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. ICCV 2019: 8190-8199 - [c101]Gaurav Kumar Nayak, Utkarsh Shreemali, R. Venkatesh Babu, Anirban Chakraborty:
Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). ICIP 2019: 4569-4573 - [c100]Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
Zero-Shot Knowledge Distillation in Deep Networks. ICML 2019: 4743-4751 - [c99]Priyanka Mandikal, Venkatesh Babu Radhakrishnan:
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network. WACV 2019: 1052-1060 - [c98]Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala, Venkatesh Babu Radhakrishnan:
Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold. WACV 2019: 1459-1467 - [i53]Priyanka Mandikal, R. Venkatesh Babu:
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network. CoRR abs/1901.08906 (2019) - [i52]Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu, Anirban Chakraborty:
Zero-Shot Knowledge Distillation in Deep Networks. CoRR abs/1905.08114 (2019) - [i51]Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu:
Enhancing Salient Object Segmentation Through Attention. CoRR abs/1905.11522 (2019) - [i50]Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha N. S., Amogh Kamath, R. Venkatesh Babu:
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection. CoRR abs/1906.07538 (2019) - [i49]Jogendra Nath Kundu, Nishank Lakkakula, R. Venkatesh Babu:
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. CoRR abs/1908.03884 (2019) - [i48]Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, R. Venkatesh Babu:
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. CoRR abs/1908.03919 (2019) - [i47]Aditya Ganeshan, Vivek B. S., R. Venkatesh Babu:
FDA: Feature Disruptive Attack. CoRR abs/1909.04385 (2019) - [i46]Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, R. Venkatesh Babu:
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. CoRR abs/1912.11960 (2019) - 2018
- [j29]Acharya K. Aniruddha, R. Venkatesh Babu, Sathish S. Vadhiyar:
A real-time implementation of SIFT using GPU. J. Real Time Image Process. 14(2): 267-277 (2018) - [c97]Deepak Babu Sam, R. Venkatesh Babu:
Top-Down Feedback for Crowd Counting Convolutional Neural Network. AAAI 2018: 7323-7330 - [c96]Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu:
Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing. AAAI 2018: 7331-7338 - [c95]Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, Venkatesh Babu Radhakrishnan:
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. BMVC 2018: 55 - [c94]Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu:
NAG: Network for Adversary Generation. CVPR 2018: 742-751 - [c93]Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu:
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation. CVPR 2018: 2656-2665 - [c92]Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu, Mukundhan Srinivasan:
Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN. CVPR 2018: 3618-3626 - [c91]Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu:
Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressions. ECCV (9) 2018: 20-35 - [c90]Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu:
Gray-Box Adversarial Training. ECCV (15) 2018: 213-228 - [c89]Jogendra Nath Kundu, M. V. Rahul, Aditya Ganeshan, R. Venkatesh Babu:
Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence. ECCV Workshops (3) 2018: 298-313 - [c88]Priyanka Mandikal, Navaneet K. L., R. Venkatesh Babu:
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image. ECCV Workshops (3) 2018: 662-674 - [c87]Akshayvarun Subramanya, Konda Reddy Mopuri, R. Venkatesh Babu:
BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples. ICVGIP 2018: 34:1-34:8 - [c86]Jogendra Nath Kundu, Aditya Ganeshan, Rahul M. V., Aditya Prakash, Venkatesh Babu R.:
iSPA-Net: Iterative Semantic Pose Alignment Network. ACM Multimedia 2018: 967-975 - [c85]Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu:
Learning Representations with Strong Supervision for Image Search. SPCOM 2018: 192-196 - [c84]Akshayvarun Subramanya, Suraj Srinivas, R. Venkatesh Babu:
Estimating Confidence for Deep Neural Networks through Density modeling. SPCOM 2018: 397-401 - [i45]Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu:
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations. CoRR abs/1801.08092 (2018) - [i44]Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, Venkatesh Babu Radhakrishnan:
Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing. CoRR abs/1801.09356 (2018) - [i43]Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu:
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation. CoRR abs/1803.01599 (2018) - [i42]Navaneet K. L., Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu, Anirban Chakraborty:
Deep Sequential Multi-camera Feature Fusion for Person Re-identification. CoRR abs/1807.07295 (2018) - [i41]Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, R. Venkatesh Babu:
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. CoRR abs/1807.07796 (2018) - [i40]Deepak Babu Sam, R. Venkatesh Babu:
Top-Down Feedback for Crowd Counting Convolutional Neural Network. CoRR abs/1807.08881 (2018) - [i39]Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu:
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN. CoRR abs/1807.09993 (2018) - [i38]Jogendra Nath Kundu, Aditya Ganeshan, Rahul M. V., Aditya Prakash, R. Venkatesh Babu:
iSPA-Net: Iterative Semantic Pose Alignment Network. CoRR abs/1808.01134 (2018) - [i37]Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu:
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions. CoRR abs/1808.01153 (2018) - [i36]Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu:
Gray-box Adversarial Training. CoRR abs/1808.01753 (2018) - [i35]Jogendra Nath Kundu, Rahul M. V., Aditya Ganeshan, R. Venkatesh Babu:
Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence. CoRR abs/1809.00553 (2018) - [i34]Priyanka Mandikal, Navaneet K. L., R. Venkatesh Babu:
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image. CoRR abs/1810.00461 (2018) - [i33]Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu:
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision. CoRR abs/1811.11731 (2018) - [i32]Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu:
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. CoRR abs/1812.02591 (2018) - [i31]Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala, R. Venkatesh Babu:
Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold. CoRR abs/1812.02592 (2018) - 2017
- [j28]Sovan Biswas, R. Venkatesh Babu:
Anomaly detection via short local trajectories. Neurocomputing 242: 63-72 (2017) - [j27]Hisham Rahman, Rajiv Soundararajan, R. Venkatesh Babu:
Evaluating Multiexposure Fusion Using Image Information. IEEE Signal Process. Lett. 24(11): 1671-1675 (2017) - [j26]Ravi Kiran Sarvadevabhatla, Sudharshan Suresh, R. Venkatesh Babu:
Object Category Understanding via Eye Fixations on Freehand Sketches. IEEE Trans. Image Process. 26(5): 2508-2518 (2017) - [j25]Srinivas S. S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu:
DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations. IEEE Trans. Image Process. 26(9): 4446-4456 (2017) - [c83]Konda Reddy Mopuri, Utsav Garg, Venkatesh Babu Radhakrishnan:
Fast Feature Fool: A data independent approach to universal adversarial perturbations. BMVC 2017 - [c82]Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu:
Training Sparse Neural Networks. CVPR Workshops 2017: 455-462 - [c81]Nithish Divakar, R. Venkatesh Babu:
Image Denoising via CNNs: An Adversarial Approach. CVPR Workshops 2017: 1076-1083 - [c80]Deepak Babu Sam, Shiv Surya, R. Venkatesh Babu:
Switching Convolutional Neural Network for Crowd Counting. CVPR 2017: 4031-4039 - [c79]Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data. CVPR 2017: 4941-4949 - [c78]K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu:
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. ICCV 2017: 4724-4732 - [c77]Ravi Kiran Sarvadevabhatla, Isht Dwivedi, Abhijat Biswas, Sahil Manocha, Venkatesh Babu R.:
SketchParse: Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks. ACM Multimedia 2017: 10-18 - [c76]Avishek Majumder, R. Venkatesh Babu, Anirban Chakraborty:
Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction. NCVPRIPG 2017: 66-77 - [c75]Avishek Majumder, R. Venkatesh Babu:
Deep Neural Network for Foreground Object Segmentation: An Unsupervised Approach. NCVPRIPG 2017: 360-371 - [p1]Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
An Introduction to Deep Convolutional Neural Nets for Computer Vision. Deep Learning for Medical Image Analysis 2017: 25-52 - [i30]Ravi Kiran Sarvadevabhatla, Sudharshan Suresh, R. Venkatesh Babu:
Object category understanding via eye fixations on freehand sketches. CoRR abs/1703.06554 (2017) - [i29]Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu:
Deep image representations using caption generators. CoRR abs/1705.09142 (2017) - [i28]Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, Venkatesh Babu Radhakrishnan:
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. CoRR abs/1706.02071 (2017) - [i27]Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu:
Fast Feature Fool: A data independent approach to universal adversarial perturbations. CoRR abs/1707.05572 (2017) - [i26]Akshayvarun Subramanya, Suraj Srinivas, R. Venkatesh Babu:
Confidence estimation in Deep Neural networks via density modelling. CoRR abs/1707.07013 (2017) - [i25]Nithish Divakar, R. Venkatesh Babu:
Image Denoising via CNNs: An Adversarial Approach. CoRR abs/1708.00159 (2017) - [i24]Deepak Babu Sam, Shiv Surya, R. Venkatesh Babu:
Switching Convolutional Neural Network for Crowd Counting. CoRR abs/1708.00199 (2017) - [i23]Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu:
CNN Fixations: An unraveling approach to visualize the discriminative image regions. CoRR abs/1708.06670 (2017) - [i22]Ravi Kiran Sarvadevabhatla, Isht Dwivedi, Abhijat Biswas, Sahil Manocha, R. Venkatesh Babu:
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks. CoRR abs/1709.01295 (2017) - [i21]Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu:
NAG: Network for Adversary Generation. CoRR abs/1712.03390 (2017) - [i20]K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu:
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. CoRR abs/1712.07384 (2017) - 2016
- [j24]R. Venkatesh Babu, Manu Tom, Paras Wadekar:
A survey on compressed domain video analysis techniques. Multim. Tools Appl. 75(2): 1043-1078 (2016) - [j23]G. Krishna Vinay, Sk. Mohammadul Haque, R. Venkatesh Babu, K. R. Ramakrishnan:
Sparse representation-based human detection: a scale-embedded dictionary approach. Signal Image Video Process. 10(3): 585-592 (2016) - [c74]Ravi Kiran Sarvadevabhatla, Shanthakumar Venkatraman, R. Venkatesh Babu:
'Part'ly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems. ACCV (5) 2016: 181-197 - [c73]Suraj Srinivas, Radhakrishnan Venkatesh Babu:
Learning Neural Network Architectures using Backpropagation. BMVC 2016 - [c72]Srinivas S. S. Kruthiventi, Vennela Gudisa, Jaley H. Dholakiya, R. Venkatesh Babu:
Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation. CVPR 2016: 5781-5790 - [c71]K. Ram Prabhakar, R. Venkatesh Babu:
Ghosting-free multi-exposure image fusion in gradient domain. ICASSP 2016: 1766-1770 - [c70]Chintak Sheth, R. Venkatesh Babu:
Object saliency using a background prior. ICASSP 2016: 1931-1935 - [c69]Souradeep Chakraborty, Jogendra Nath Kundu, R. Venkatesh Babu:
Deep image inpainting with region prediction at hierarchical scales. ICVGIP 2016: 33:1-33:8 - [c68]Shiv Surya, R. Venkatesh Babu:
TraCount: a deep convolutional neural network for highly overlapping vehicle counting. ICVGIP 2016: 46:1-46:6 - [c67]K. Ram Prabhakar, R. Venkatesh Babu:
Ghosting free HDR for dynamic scenes via shift-maps. ICVGIP 2016: 57:1-57:8 - [c66]Konda Reddy Mopuri, R. Venkatesh Babu:
Towards semantic visual representation: augmenting image representation with natural language descriptors. ICVGIP 2016: 64:1-64:8 - [c65]Lokesh Boominathan, Suraj Srinivas, R. Venkatesh Babu:
Compensating for large in-plane rotations in natural images. ICVGIP 2016: 69:1-69:8 - [c64]Ravi Kiran Sarvadevabhatla, Raviteja Meesala, Manjunath Hegde, R. Venkatesh Babu:
Analyzing object categories via novel category ranking measures defined on visual feature embeddings. ICVGIP 2016: 79:1-79:6 - [c63]Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Analyzing Structural Characteristics of Object Category Representations From Their Semantic-part Distributions. ACM Multimedia 2016: 97-101 - [c62]Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
SwiDeN: Convolutional Neural Networks For Depiction Invariant Object Recognition. ACM Multimedia 2016: 187-191 - [c61]Ravi Kiran Sarvadevabhatla, Jogendra Kundu, R. Venkatesh Babu:
Enabling My Robot To Play Pictionary: Recurrent Neural Networks For Sketch Recognition. ACM Multimedia 2016: 247-251 - [c60]Lokesh Boominathan, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting. ACM Multimedia 2016: 640-644 - [i19]Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision. CoRR abs/1601.06615 (2016) - [i18]Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition. CoRR abs/1607.08764 (2016) - [i17]Ravi Kiran Sarvadevabhatla, Jogendra Kundu, Radhakrishnan Venkatesh Babu:
Enabling My Robot To Play Pictionary : Recurrent Neural Networks For Sketch Recognition. CoRR abs/1608.03369 (2016) - [i16]Lokesh Boominathan, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting. CoRR abs/1608.06197 (2016) - [i15]Lokesh Boominathan, Suraj Srinivas, R. Venkatesh Babu:
Compensating for Large In-Plane Rotations in Natural Images. CoRR abs/1611.05744 (2016) - [i14]Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu:
Training Sparse Neural Networks. CoRR abs/1611.06694 (2016) - [i13]Suraj Srinivas, R. Venkatesh Babu:
Generalized Dropout. CoRR abs/1611.06791 (2016) - [i12]Ravi Kiran Sarvadevabhatla, Shanthakumar Venkatraman, R. Venkatesh Babu:
'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems. CoRR abs/1611.07703 (2016) - 2015
- [j22]R. Venkatesh Babu, Badrinarayanan Rangarajan, Suresh Sundaram, Manu Tom:
Human action recognition in H.264/AVC compressed domain using meta-cognitive radial basis function network. Appl. Soft Comput. 36: 218-227 (2015) - [j21]Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision. Frontiers Robotics AI 2: 36 (2015) - [j20]R. Venkatesh Babu, Priti Parate, Acharya K. Aniruddha:
Robust tracking with interest points: A sparse representation approach. Image Vis. Comput. 33: 44-56 (2015) - [j19]S. Avinash Ramakanth, R. Venkatesh Babu:
Synthetic image super resolution using FeatureMatch. Multim. Tools Appl. 74(17): 6691-6707 (2015) - [j18]Manu Tom, R. Venkatesh Babu, R. Gnana Praveen:
Compressed domain human action recognition in H.264/AVC video streams. Multim. Tools Appl. 74(21): 9323-9338 (2015) - [j17]Sovan Biswas, R. Venkatesh Babu:
Anomaly detection in compressed H.264/AVC video. Multim. Tools Appl. 74(24): 11099-11115 (2015) - [c59]Suraj Srinivas, R. Venkatesh Babu:
Data-free Parameter Pruning for Deep Neural Networks. BMVC 2015: 31.1-31.12 - [c58]Konda Reddy Mopuri, R. Venkatesh Babu:
Object level deep feature pooling for compact image representation. CVPR Workshops 2015: 62-70 - [c57]Srinivas S. Kruthiventi, R. Venkatesh Babu:
Dominant flow extraction and analysis in traffic surveillance videos. CVPR Workshops 2015: 63-71 - [c56]Nikita Prabhu, R. Venkatesh Babu:
Attribute-Graph: A Graph Based Approach to Image Ranking. ICCV 2015: 1071-1079 - [c55]Srinivas S. S. Kruthiventi, R. Venkatesh Babu:
Crowd flow segmentation in compressed domain using CRF. ICIP 2015: 3417-3421 - [c54]R. Sai Srivatsa, R. Venkatesh Babu:
Salient object detection via objectness measure. ICIP 2015: 4481-4485 - [c53]Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Eye of the Dragon: Exploring Discriminatively Minimalist Sketch-based Abstractions for Object Categories. ACM Multimedia 2015: 271-280 - [i11]Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Category-Epitomes : Discriminatively Minimalist Representations for Object Categories. CoRR abs/1502.00082 (2015) - [i10]Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Freehand Sketch Recognition Using Deep Features. CoRR abs/1502.00254 (2015) - [i9]Konda Reddy Mopuri, R. Venkatesh Babu:
Object Level Deep Feature Pooling for Compact Image Representation. CoRR abs/1504.06591 (2015) - [i8]Jaley H. Dholakiya, Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Expresso : A user-friendly GUI for designing, training and using Convolutional Neural Networks. CoRR abs/1505.06605 (2015) - [i7]Srinivas S. Kruthiventi, R. Venkatesh Babu:
Crowd Flow Segmentation in Compressed Domain using CRF. CoRR abs/1506.06006 (2015) - [i6]R. Sai Srivatsa, R. Venkatesh Babu:
Salient Object Detection via Objectness Measure. CoRR abs/1506.07363 (2015) - [i5]Suraj Srinivas, R. Venkatesh Babu:
Data-free parameter pruning for Deep Neural Networks. CoRR abs/1507.06149 (2015) - [i4]Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu:
Analyzing structural characteristics of object category representations from their semantic-part distributions. CoRR abs/1509.04399 (2015) - [i3]Nikita Prabhu, R. Venkatesh Babu:
Attribute-Graph: A Graph based approach to Image Ranking. CoRR abs/1509.06658 (2015) - [i2]Srinivas S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu:
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations. CoRR abs/1510.02927 (2015) - [i1]Suraj Srinivas, R. Venkatesh Babu:
Learning the Architecture of Deep Neural Networks. CoRR abs/1511.05497 (2015) - 2014
- [j16]S. Avinash Ramakanth, R. Venkatesh Babu:
Approximate Nearest Neighbour Field based Optic Disk Detection. Comput. Medical Imaging Graph. 38(1): 49-56 (2014) - [j15]S. Avinash Ramakanth, R. Venkatesh Babu:
FeatureMatch: A General ANNF Estimation Technique and its Applications. IEEE Trans. Image Process. 23(5): 2193-2205 (2014) - [c52]S. Avinash Ramakanth, R. Venkatesh Babu:
SeamSeg: Video Object Segmentation Using Patch Seams. CVPR 2014: 376-383 - [c51]O. U. Nirmal Jith, S. Avinash Ramakanth, R. Venkatesh Babu:
Optical flow estimation using Approximate Nearest Neighbor Field fusion. ICASSP 2014: 673-674 - [c50]Acharya K. Aniruddha, R. Venkatesh Babu:
Visual object tracking via random ferns based classification. ICASSP 2014: 6533-6537 - [c49]Sovan Biswas, R. Gnana Praveen, R. Venkatesh Babu:
Super-pixel based crowd flow segmentation in H.264 compressed videos. ICIP 2014: 2319-2323 - [c48]Sovan Biswas, R. Venkatesh Babu:
Sparse representation based anomaly detection with enhanced local dictionaries. ICIP 2014: 5532-5536 - [c47]Srinivas S. Kruthiventi, R. Venkatesh Babu:
3D Action Recognition by Learning Sequences of Poses. ICVGIP 2014: 23:1-23:7 - [c46]Sovan Biswas, R. Venkatesh Babu:
Short Local Trajectory based moving anomaly detection. ICVGIP 2014: 73:1-73:8 - [c45]Chintak Sheth, R. Venkatesh Babu:
Super Pixel Clustering via Kernel Density Estimation. ICVGIP 2014: 74:1-74:8 - [c44]Acharya K. Aniruddha, R. Venkatesh Babu:
Secret Image Sharing using Fractal Codes. ICVGIP 2014: 82:1-82:8 - [c43]Nikita Prabhu, S. Avinash Ramakanth, R. Venkatesh Babu:
Patch Flow based Visual Object Tracking. ICVGIP 2014: 86:1-86:6 - [c42]Badrinarayanan Rangarajan, Venkatesh Babu Radhakrishnan:
Human action recognition in compressed domain using PBL-McRBFN approach. ISSNIP 2014: 1-6 - [c41]Kartick Subramanian, Radhakrishnan Venkatesh Babu, Suresh Sundaram:
An optical flow feature and McFIS based approach for 3-dimensional human action recognition. ISSNIP 2014: 1-6 - [c40]Kartick Subramanian, Radhakrishnan Venkatesh Babu, Savitha Ramasamy:
Database independent human emotion recognition with Meta-Cognitive Neuro-Fuzzy Inference System. ISSNIP 2014: 1-6 - [c39]Suraj Vantigodi, Venkatesh Babu Radhakrishnan:
Action recognition from motion capture data using Meta-Cognitive RBF Network classifier. ISSNIP 2014: 1-6 - 2013
- [j14]R. Venkatesh Babu, Ramaswamy Savitha, Suresh Sundaram, Bhuvnesh Agarwal:
Subject independent human action recognition using spatio-depth information and meta-cognitive RBF network. Eng. Appl. Artif. Intell. 26(9): 2010-2021 (2013) - [c38]Sovan Biswas, R. Venkatesh Babu:
H.264 compressed video classification using Histogram of Oriented Motion Vectors (HOMV). ICASSP 2013: 2040-2044 - [c37]Sreekanth Raja, R. Venkatesh Babu:
A near optimal projection for Sparse representation based classification. ICASSP 2013: 2089-2093 - [c36]M. J. Ashwini, R. Venkatesh Babu, K. R. Ramakrishnan:
Context-aware real-time tracking in sparse representation framework. ICIP 2013: 2450-2454 - [c35]R. Venkatesh Babu, Priti Parate:
Interest points based object tracking via sparse representation. ICIP 2013: 2963-2967 - [c34]R. Venkatesh Babu:
Real-time robust tracking via sparse representation: A mode-seeking approach. ICIP 2013: 3919-3923 - [c33]Acharya K. Aniruddha, R. Venkatesh Babu:
Speeding up SIFT using GPU. NCVPRIPG 2013: 1-4 - [c32]Sovan Biswas, R. Venkatesh Babu:
Real time anomaly detection in H.264 compressed videos. NCVPRIPG 2013: 1-4 - [c31]S. Avinash Ramakanth, R. Venkatesh Babu:
OD-Match: PatchMatch based Optic Disk detection. NCVPRIPG 2013: 1-4 - [c30]Mopuri K. Reddy, Sahil Arora, R. Venkatesh Babu:
Spatio-temporal feature based VLAD for efficient video retrieval. NCVPRIPG 2013: 1-4 - [c29]Manu Tom, R. Venkatesh Babu:
Fast moving-object detection in H.264/AVC compressed domain for video surveillance. NCVPRIPG 2013: 1-4 - [c28]Suraj Vantigodi, R. Venkatesh Babu:
Real-time human action recognition from motion capture data. NCVPRIPG 2013: 1-4 - [c27]Manu Tom, R. Venkatesh Babu:
Rapid human action recognition in H.264/AVC compressed domain for video surveillance. VCIP 2013: 1-6 - 2012
- [j13]R. Venkatesh Babu, Suresh Sundaram, Ramaswamy Savitha:
Human action recognition using a fast learning fully complex-valued classifier. Neurocomputing 89: 202-212 (2012) - [c26]G. Krishna Vinay, Sk. Mohammadul Haque, R. Venkatesh Babu, K. R. Ramakrishnan:
Human detection using sparse representation. ICASSP 2012: 1513-1516 - [c25]M. S. Naresh Kumar, Priti Parate, R. Venkatesh Babu:
Fragment-based real-time object tracking: A sparse representation approach. ICIP 2012: 433-436 - [c24]Neelam Sinha, R. Venkatesh Babu:
Optic disk localization using L1 minimization. ICIP 2012: 2829-2832 - [c23]Avinash Ruchandani, R. Venkatesh Babu:
Local appearance based robust tracking via sparse representation. ICVGIP 2012: 12 - [c22]M. S. Naresh Kumar, R. Venkatesh Babu:
Human gait recognition using depth camera: a covariance based approach. ICVGIP 2012: 20 - [c21]S. Avinash Ramakanth, R. Venkatesh Babu:
Feature match: an efficient low dimensional PatchMatch technique. ICVGIP 2012: 45 - [c20]S. Sudarshan, R. Venkatesh Babu:
Super resolution via sparse representation in l1 framework. ICVGIP 2012: 77 - [c19]K. Subramanian, Suresh Sundaram, R. Venkatesh Babu:
Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition. IJCNN 2012: 1-7 - 2011
- [c18]R. Venkatesh Babu, Suresh Sundaram:
Fully complex-valued ELM classifiers for human action recognition. IJCNN 2011: 2803-2808 - 2010
- [j12]R. Venkatesh Babu, Suresh Sundaram, Anamitra Makur:
Online adaptive radial basis function networks for robust object tracking. Comput. Vis. Image Underst. 114(3): 297-310 (2010) - [j11]Chhabi Nigam, R. Venkatesh Babu, S. Kumar Raja, K. R. Ramakrishnan:
Fragmented Particles-Based Robust Object Tracking with Feature Fusion. Int. J. Image Graph. 10(1): 93-112 (2010)
2000 – 2009
- 2009
- [j10]Suresh Sundaram, R. Venkatesh Babu, H. J. Kim:
No-reference image quality assessment using modified extreme learning machine classifier. Appl. Soft Comput. 9(2): 541-552 (2009) - 2008
- [j9]Jaideep Jeyakar, R. Venkatesh Babu, K. R. Ramakrishnan:
Robust object tracking with background-weighted local kernels. Comput. Vis. Image Underst. 112(3): 296-309 (2008) - [j8]R. Venkatesh Babu, Andrew Perkis, Odd Inge Hillestad:
Evaluation and monitoring of video quality for UMA enabled video streaming systems. Multim. Tools Appl. 37(2): 211-231 (2008) - 2007
- [j7]R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy:
Robust tracking with motion estimation and local Kernel-based color modeling. Image Vis. Comput. 25(8): 1205-1216 (2007) - [j6]R. Venkatesh Babu, K. R. Ramakrishnan:
Compressed domain video retrieval using object and global motion descriptors. Multim. Tools Appl. 32(1): 93-113 (2007) - [j5]R. Venkatesh Babu, Suresh Sundaram, Andrew Perkis:
No-reference JPEG-image quality assessment using GAP-RBF. Signal Process. 87(6): 1493-1503 (2007) - [c17]R. Venkatesh Babu, Anamitra Makur:
Kernel-Based Spatial-Color Modeling for Fast Moving Object Tracking. ICASSP (1) 2007: 901-904 - [c16]R. Venkatesh Babu, Suresh Sundaram, Anamitra Makur:
Robust Object Tracking with Radial Basis Function Networks. ICASSP (1) 2007: 937-940 - [c15]Chhabi Nigam, R. Venkatesh Babu, S. Kumar Raja, Kalpathi R. Ramakrishnan:
Feature Fusion for Robust Object Tracking Using Fragmented Particles. ICDSC 2007: 283-290 - [c14]Jaideep Jeyakar, R. Venkatesh Babu, K. R. Ramakrishnan:
Robust Object Tracking using Local Kernels and Background Information. ICIP (5) 2007: 49-52 - 2006
- [c13]R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy:
Kernel-Based Robust Tracking for Objects Undergoing Occlusion. ACCV (2) 2006: 353-362 - [c12]R. Venkatesh Babu, Anamitra Makur:
Object-based Surveillance Video Compression using Foreground Motion Compensation. ICARCV 2006: 1-6 - [c11]Suresh Sundaram, R. Venkatesh Babu, Narasimhan Sundararajan:
Image Quality Measurement Using Sparse Extreme Learning Machine Classifier. ICARCV 2006: 1-6 - [c10]R. Venkatesh Babu, Suresh Sundaram:
GAP-RBF Based NR Image Quality Measurement for JPEG Coded Images. ICVGIP 2006: 718-727 - 2005
- [c9]R. Venkatesh Babu, Andrew Perkis:
An HVS-based no-reference perceptual quality assessment of JPEG coded images using neural networks. ICIP (1) 2005: 433-436 - [c8]R. Venkatesh Babu, Patrick Pérez, Patrick Bouthemy:
Robust tracking with motion estimation and kernel-based color modelling. ICIP (1) 2005: 717-720 - 2004
- [j4]R. Venkatesh Babu, K. R. Ramakrishnan:
Sprite Generation From Mpeg Video Using Motion Information. Int. J. Image Graph. 4(2): 263-280 (2004) - [j3]R. Venkatesh Babu, K. R. Ramakrishnan:
Recognition of human actions using motion history information extracted from the compressed video. Image Vis. Comput. 22(8): 597-607 (2004) - [j2]R. Venkatesh Babu, K. R. Ramakrishnan, S. H. Srinivasan:
Video object segmentation: a compressed domain approach. IEEE Trans. Circuits Syst. Video Technol. 14(4): 462-474 (2004) - [c7]Andrew Perkis, R. Venkatesh Babu, Peder Drege:
A QOS-DRIVEN UMA viewer in MPEG-21 framework. EUSIPCO 2004: 661-664 - [c6]R. Venkatesh Babu, Ajit S. Bopardikar, Andrew Perkis:
A Perceptual No-Reference Blockiness Metric for JPEG Images. ICVGIP 2004: 455-460 - 2003
- [c5]R. Venkatesh Babu, K. R. Ramakrishnan:
Compressed domain human motion recognition using motion history information. ICASSP (3) 2003: 41-44 - [c4]R. Venkatesh Babu, K. R. Ramakrishnan:
Compressed domain human motion recognition using motion history information. ICIP (3) 2003: 321-324 - 2002
- [j1]R. Venkatesh Babu, B. Anantharaman, K. R. Ramakrishnan, S. H. Srinivasan:
Compressed domain action classification using HMM. Pattern Recognit. Lett. 23(10): 1203-1213 (2002) - [c3]R. Venkatesh Babu, K. R. Ramakrishnan:
Compressed domain motion segmentation for video object extraction. ICASSP 2002: 3788-3791 - [c2]R. Venkatesh Babu, K. R. Ramakrishnan:
Background Sprite Generation Using MPEG Motion Vectors. ICVGIP 2002 - [c1]R. Venkatesh Babu, K. R. Ramakrishnan:
Content-based video retrieval using motion descriptors extracted from compressed domain. ISCAS (4) 2002: 141-144
Coauthor Index
Srinivas S. Kruthiventi
aka: Srinivas S. S. Kruthiventi
aka: Srinivas S. S. Kruthiventi
Jogendra Kundu
aka: Jogendra Nath Kundu
aka: Jogendra Nath Kundu
[c179] [i114] [c170] [i101] [i97] [c168] [c164] [c163] [c157] [c153] [i96] [i94] [i93] [i92] [i89] [i85] [i78] [c146] [c142] [c141] [i76] [i73] [c137] [c135] [c129] [c128] [c127] [c126] [c125] [c122] [c118] [c117] [c116] [c114] [i68] [i67] [i66] [i62] [i58] [i57] [i56] [c112] [c104] [c102] [c98] [i49] [i48] [c93] [c89] [c86] [i43] [i38] [i35] [i32] [i31] [c69] [c61] [i17]
K. R. Ramakrishnan
aka: Kalpathi R. Ramakrishnan
aka: Kalpathi R. Ramakrishnan
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