Venkatesh Babu Radhakrishnan

Human action recognition in compressed domain using PBL-McRBFN approach

Badrinarayanan Rangarajan, Venkatesh Babu Radhakrishnan, B. Rangarajan, 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation pdf

Siddharth Seth, Anirban Chakraborty, Venkatesh Babu Radhakrishnan, 2020, AAAI.

Action recognition from motion capture data using Meta-Cognitive RBF Network classifier

Venkatesh Babu Radhakrishnan, Suraj Vantigodi, Suraj Vantigodi, 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation

Anirban Chakraborty, Surbhi Aggarwal, Venkatesh Babu Radhakrishnan, 2020, BMVC.

Crafting Data-free Universal Adversaries with Dilate Loss

Deepak Babu Sam, Venkatesh Babu Radhakrishnan, K Abinaya, 2019 .

Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing

Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, 2018, AAAI.

Few-Shot Domain Adaptation for Low Light RAW Image Enhancement

Venkatesh Babu Radhakrishnan, N. Sahoo, K. Prabhakar, 2023, BMVC.

Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels

Deepak Babu Sam, Venkatesh Babu Radhakrishnan, Abhinav Agarwalla, 2022, AAAI.

A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection

Venkatesh Babu Radhakrishnan, Jogendra Nath Kundu, D. Sridharan, 2022, The Journal of Neuroscience.

Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics

Venkatesh Babu Radhakrishnan, Y. Umeda, S. Takemori, 2023, Neural Information Processing Systems.

Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks

Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Sravanti Addepalli, 2023, ICLR.