Rahul Venkatesh

I am a CS PhD student at Stanford (joined Fall'21). Previously, I graduated from CMU with a Master's in Computer Vision where I was advised by Prof. Laszlo Jeni from the Robotics Institute and Dr. Maneesh Singh from Verisk AI. I also closely collaborated with Prof. Zico Kolter from the CS department at CMU. Prior to that, I was a research assistant at the Video Analytics Lab at the Indian Institute of Science, Bangalore, where I was advised by Prof. R Venkatesh Babu.

Research

	Deep Implicit Surface Point Prediction Networks Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, Laszlo Jeni, Maneesh Singh ICCV, 2021
	Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces Rahul Venkatesh, Sarthak Sharma, Aurobrata Ghosh, Laszlo Jeni, Maneesh Singh arXiv, 2020
	Appearance Consensus Driven Self-Supervised Human Mesh Recovery Jogendra Nath Kundu, Rakesh Mugalodi, Varun Jampani, Rahul Venkatesh, R Venkatesh Babu ECCV (oral), 2020

Semantic Adversarial Robustness with Differentiable Ray-Tracing
Rahul Venkatesh, Eric Wong, J Zico Kolter
DiffCVGP Workshop at NeurIPS, 2020

	Object pose estimation from monocular image using multi-view keypoint correspondence Rahul Venkatesh, Jogendra Nath Kundu, Aditya Ganeshan, R Venkatesh Babu Geometry Meets Deep Learning workshop at ECCV*, 2018
	iSPA-Net: Iterative Semantic Pose Alignment Network Rahul Venkatesh, Jogendra Nath Kundu, Aditya Ganeshan, Aditya Prakash, R Venkatesh Babu ACMMM*, 2018

	Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation Rahul Venkatesh, Jogendra Nath Kundu, Siddharth Seth, Rakesh Mugalodi, R Venkatesh Babu AAAI (oral)*, 2020
	Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion Rahul Venkatesh, Jogendra Nath Kundu, Jay Patravali, R Venkatesh Babu WACV*, 2020
	Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation Jogendra Nath Kundu* Revanur Ambareesh, Govind Vitthal Waghmare, Rahul Venkatesh, R Venkatesh Babu ECCV*, 2020
	Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions Jogendra Nath Kundu, Himanshu Buckchash, Priyanka Mandikal, Anirudh Jamkhandi, Rahul Venkatesh, R Venkatesh Babu WACV, 2020

	Class-Incremental Domain Adaptation Rahul Venkatesh, Jogendra Nath Kundu, Naveen Venkat, R Venkatesh Babu ECCV, 2020
	Universal Source-Free Domain Adaptation Jogendra Nath Kundu, Naveen Venkat, Rahul Venkatesh, R Venkatesh Babu CVPR, 2020
	Towards Inheritable Models for Open-Set Domain Adaptation Jogendra Nath Kundu, Naveen Venkat, Revanur Ambareesh, Rahul Venkatesh, R Venkatesh Babu CVPR (oral), 2020

Siamese network for underwater multiple object tracking
Rahul Venkatesh, Revanur Ambareesh, Shobha G
ICMLC (oral), Best Presentation Award, 2020

	An adaptive model for traffic flow optimisation in dynamic environments Rahul Venkatesh, Rajashree Shettar, KN Subramanya International Journal of Computational Science and Engineering, 2019
* => (Equal Contribution)