Rahul M. V.

According to our database, Rahul M. V. authored at least 22 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Discovering and using Spelke segments.

Rahul Mysore Venkatesh, Klemen Kotar, Lilian Naing Chen, Seungwoo Kim, Luca Thomas Wheeler, Jared Watrous, Ashley Xu, Gia Ancone, Wanhee Lee, Honglin Chen, Daniel Bear, Stefan Stojanov, Daniel Yamins

CoRR, July, 2025

3D Scene Understanding Through Local Random Access Sequence Modeling.

Wanhee Lee, Klemen Kotar, Rahul Mysore Venkatesh, Jared Watrous, Honglin Chen, Khai Loong Aw, Daniel L. K. Yamins

CoRR, April, 2025

Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals.

Stefan Stojanov, David Wendt, Seungwoo Kim, Rahul Mysore Venkatesh, Kevin T. Feigelis, Jiajun Wu, Daniel L. K. Yamins

CoRR, March, 2025

2024

Unsupervised 3D Scene Representation Learning via Movable Object Inference.

Honglin Chen, Wanhee Lee, Hong-Xing Yu, Rahul Mysore Venkatesh, Joshua B. Tenenbaum, Daniel Bear, Jiajun Wu, Daniel L. K. Yamins

Trans. Mach. Learn. Res., 2024

Understanding Physical Dynamics with Counterfactual World Modeling.

Rahul Mysore Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix J. Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Counterfactual World Modeling for Physical Dynamics Understanding.

Rahul Mysore Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix J. Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins

CoRR, 2023

Unifying (Machine) Vision via Counterfactual World Modeling.

Daniel M. Bear, Kevin T. Feigelis, Honglin Chen, Wanhee Lee, Rahul Mysore Venkatesh, Klemen Kotar, Alex Durango, Daniel L. K. Yamins

CoRR, 2023

Adversarial robustness in discontinuous spaces via alternating sampling & descent.

Rahul Mysore Venkatesh, Eric Wong, Zico Kolter

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Unsupervised Segmentation in Real-World Images via Spelke Object Inference.

Honglin Chen, Rahul Mysore Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion.

Jogendra Nath Kundu, Rahul M. V., Jay Patravali, R. Venkatesh Babu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions.

Jogendra Nath Kundu, Himanshu Buckchash, Priyanka Mandikal, Rahul M. V., Anirudh Jamkhandi, Venkatesh Babu R.

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Class-Incremental Domain Adaptation.

Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2020, 2020

Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation.

Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2020, 2020

Appearance Consensus Driven Self-supervised Human Mesh Recovery.

Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2020, 2020

Universal Source-Free Domain Adaptation.

Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Inheritable Models for Open-Set Domain Adaptation.

Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, Anirban Chakraborty

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An adaptive model for traffic flow optimisation in dynamic environments.

M. V. Rahul, Rajashree Shettar, K. N. Subramanya

Int. J. Comput. Sci. Eng., 2019

2018

iSPA-Net: Iterative Semantic Pose Alignment Network.

Jogendra Nath Kundu, Aditya Ganeshan, Rahul M. V., Aditya Prakash, Venkatesh Babu R.

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence.

Jogendra Nath Kundu, M. V. Rahul, Aditya Ganeshan, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Resource Provisioning Framework for IoT Applications in Fog Computing Environment.

G. Rakshith, M. V. Rahul, G. S. Sanjay, Natesha B. V., Ram Mohana Reddy Guddeti

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2018

2017

Siamese Network for Underwater Multiple Object Tracking.

M. V. Rahul, Ambareesh Revanur, G. Shobha

Proceedings of the 9th International Conference on Machine Learning and Computing, 2017