Venkatesh Babu Radhakrishnan

Madurai Medical College — India

Computer Science · Physical Sciences

18h-index1.6kcitations74works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Human Pose and Action Recognition(10), Advanced Graph Theory Research(9), Advanced Image and Video Retrieval Techniques(9), Computational Geometry and Mesh Generation(9), Anomaly Detection Techniques and Applications(9)

Publications74 total

UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning
arXiv (Cornell University)·2025Open Access
UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning
ArXiv.org·2025Open Access
Formulation and Evaluation of Quetiapine Fumarate Extended-Release Matrix Tablets Using Metolose 15000SR and HPMC K15CR
Ars Pharmaceutica (Internet)·2025Open Access
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
arXiv (Cornell University)·2024Open Access
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
arXiv (Cornell University)·2023· 1 citedOpen Access
Dense or Sparse: Crowd Counting with Binary Supervision
2022
A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection
Journal of Neuroscience·2022· 13 citedOpen Access
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels
Proceedings of the AAAI Conference on Artificial Intelligence·2022· 1 citedOpen Access
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation
Proceedings of the AAAI Conference on Artificial Intelligence·2022· 2 citedOpen Access
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
arXiv (Cornell University)·2022· 3 citedOpen Access
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
arXiv (Cornell University)·2022· 6 citedOpen Access
Towards Efficient and Effective Adversarial Training
Neural Information Processing Systems·2021· 30 cited
Towards Achieving Adversarial Robustness Beyond Perceptual Limits
International Conference on Machine Learning·2021· 4 cited
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
ePrints@IISc (Indian Institute of Science)·2021· 21 citedOpen Access
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement
2021· 3 cited
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting
IEEE Transactions on Computational Imaging·2021· 15 citedOpen Access
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
Proceedings of the AAAI Conference on Artificial Intelligence·2020· 40 citedOpen Access
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
Proceedings of the AAAI Conference on Artificial Intelligence·2020· 37 citedOpen Access
WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation
2020· 3 cited
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence·2020· 217 cited
page 1 of 4Next →

Frequent Co-authors

Harry B. Hunt(10), Madhav Marathe(9), Jogendra Nath Kundu(9), Richard E. Stearns(8), Dieter Gawlick(8), Ravi Kiran Sarvadevabhatla(7), Boris Glavic(7), Anirban Chakraborty(5), Vasudha Krishnaswamy(5), S. S. Ravi(5), Daniel J. Rosenkrantz(4), Xing Niu(4), Raghav Kapoor(4), Zhen Hua Liu(4), Sravanti Addepalli(3), Bahareh Sadat Arab(3), Shiv Surya(3), Deepak Babu Sam(2), Gaurav Kumar Nayak(2), Siddharth Seth(2)