Venkatesh Babu Radhakrishnan

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 23

Top Topics

Semantic Segmentation

Action Recognition

Domain Adaptation

Top Venues

Publications

Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. CoRR (2024)
Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. ICLR (2024)
Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks. ICLR (2023)
Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. CoRR (2023)
Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. AAAI (2022)
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan
A Closer Look at Smoothness in Domain Adversarial Training. ICML (2022)
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)
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)
Deepak Babu Sam, Jimmy Joseph, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan
Dense or Sparse: Crowd Counting with Binary Supervision. ICVGIP (2022)
K. Ram Prabhakar, Vishal Vinod, Nihar R. Sahoo, Venkatesh Babu Radhakrishnan
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. BMVC (2021)
Surbhi Aggarwal, Jogendra Nath Kundu, Venkatesh Babu Radhakrishnan, Anirban Chakraborty
WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation. BMVC (2020)
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)
Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. AAAI (2020)
Priyanka Mandikal, Venkatesh Babu Radhakrishnan
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network. WACV (2019)
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)
Jogendra Nath Kundu, Nishank Lakkakula, Venkatesh Babu Radhakrishnan
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. ICCV (2019)
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)
Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty
Zero-Shot Knowledge Distillation in Deep Networks. ICML (2019)
Aditya Ganeshan, Vivek B. S., Venkatesh Babu Radhakrishnan
FDA: Feature Disruptive Attack. ICCV (2019)
Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, Venkatesh Babu Radhakrishnan
Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing. CoRR (2018)
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)
Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, Venkatesh Babu Radhakrishnan
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. CoRR (2017)
Konda Reddy Mopuri, Utsav Garg, Venkatesh Babu Radhakrishnan
Fast Feature Fool: A data independent approach to universal adversarial perturbations. BMVC (2017)
Suraj Vantigodi, Venkatesh Babu Radhakrishnan
Action recognition from motion capture data using Meta-Cognitive RBF Network classifier. ISSNIP (2014)
Badrinarayanan Rangarajan, Venkatesh Babu Radhakrishnan
Human action recognition in compressed domain using PBL-McRBFN approach. ISSNIP (2014)