Saketh Rambhatla

I am a Ph.D. student in the department of ECE at University of Maryland (UMD), College Park, where I work on computer vision and deep learning. I work with Dr. Rama Chellappa and Dr. Abhinav Shrivastava.

I completed my bachelor's and master's at Indian Institute of Technology, Kharagpur. During my master's I worked on SLAM and pose recognition.

Email / CV / Google Scholar

Research

I'm interested in computer vision, machine and deep learning. Much of my research is about training models with little to no supervision.

	The Pursuit of Knowledge: Discovering and Localizing new concepts using Dual Memory Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava ICCV, 2021 Project Page \| arXiv Equip machines with capabilities to automatically discover and learn models for new categories from a large unlabeled dataset.
	Towards Discovery and Attribution of Open-world GAN Generated Images. Saksham Suri, Sharath Girish, Sai Saketh Rambhatla, Abhinav Shrivastava ICCV, 2021 Project Page \| arXiv Automatically discover and attribute open-world GAN images.
	Recognizing Transforming Actions via Object State Transformations. Nirat Saini, Gaurav Shrivastava, Sai Saketh Rambhatla, Abhinav Shrivastava Under Submission, 2020 Leverage Object state transformation to recognize transforming actions.
	To Boost or not to Boost: On the limits of Boosted Neural Networks Sai Saketh Rambhatla, Michael Jones, Rama Chellappa Under submission to Neurocomputing, 2020 Theoretical arguments and empirical evidence that a single large neural network is usually more accurate than a boosted ensemble of neural networks with the same number of total parameters
	Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection. Neehar Peri, Pirazh Khorramshahi, Sai Saketh Rambhatla, Vineet Shenoy, Saumya Rawat Jun-Cheng Chen, Rama Chellappa NVIDIA AI City Challenge, CVPR Workshops*, 2020 Paper Proposed a Real-Time system for Vehicle Re-identification, Multi-Camera Tracking, and Anomaly Detection in a network of traffic cameras.
	Detecting Human-Object Interactions via Functional Generalization. Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa AAAI, 2020 project page / arXiv Humans interact with functionally similar objects in a similar manner.
	Spatial Priming for Detecting Human-Object Interactions Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa arxiv, 2020 project page / arXiv A method for exploiting the spatial layout information of a human and an object for detecting HOIs in images.
	A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification Pirazh Khorramshahi, Amit Kumar Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa ICCV, 2019 (Oral Presentation)* arXiv Proposed a novel dual-path adaptive attention model for Vehicle re-identification.
	Body Part Alignment and Temporal Attention Pooling for Video-Based Person ReIdentification Sai Saketh Rambhatla, Michael Jones BMVC, 2019 Paper Training deep networks with the ability to align features achieves state of the art performance on Person Re-identification.