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ORCIDVenkatesh Babu Radhakrishnan
Venkatesh Babu R. – R. Venkatesh Babu – Radhakrishnan Venkatesh Babu
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2020 – today
- 2023
[c174]Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu:
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CVPR Workshops 2023: 2298-2305- [c173]Prasanna B, Sunandini Sanyal, R. Venkatesh Babu:
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. CVPR Workshops 2023: 2457-2463 - [c172]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 - [c171]Abhipsa Basu, Sravanti Addepalli, R. Venkatesh Babu:
RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases. CVPR 2023: 11671-11680 - [c170]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 - [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 - [i109]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) - [i108]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) - [i107]Rahul Chand, Rajat Arora, K. Ram Prabhakar, R. Venkatesh Babu:
CapsFlow: Optical Flow Estimation with Capsule Networks. CoRR abs/2304.00306 (2023) - [i106]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) - [i105]Prasanna B, Sunandini Sanyal, R. Venkatesh Babu:
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. CoRR abs/2304.07560 (2023) - [i104]Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu:
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CoRR abs/2304.10446 (2023) - [i103]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) - [i102]Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi:
Inspecting the Geographical Representativeness of Images from Text-to-Image Models. CoRR abs/2305.11080 (2023) - [i101]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) - [i100]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing. CoRR abs/2306.06462 (2023) - [i99]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) - [i98]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) - [i97]Ankit Dhiman, R. Srinath, Srinjay Sarkar, Lokesh R. Boregowda, R. Venkatesh Babu:
CoRF : Colorizing Radiance Fields using Knowledge Distillation. CoRR abs/2309.07668 (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]Ramesha Rakesh Mugaludi, 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]