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Sai Saketh Rambhatla,
Ishan Misra
Under Submission
Repurpose generative models as discriminative models to evaluate generative performance. |
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Rohit Girdhar*†,
Mannat Singh*†,
Andrew Brown*,
Quentin Duval*,
Samaneh Azadi*,
Sai Saketh Rambhatla,
Mian Akbar Shah,
Xi Yin,
Devi Parikh,
Ishan Misra*
Under Submission
State-of-the-art Diffusion-based Text-to-Video generation method. |
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CVPR, 2024
A novel and effective method to enable precise instance-level control for text-to-image generation. |
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ICCV, 2023 (Oral Presentation)
Localize multiple objects in a real world images in an unsupervised fashion without any training using Self-supervised Transformers. |
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ICCV, 2023
Improve performance of detectors trained using missing annotations by posing the problem as region-based semi-supervised learning. |
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Sai Saketh Rambhatla,
Rama Chellappa,
Abhinav Shrivastava
ICCV, 2021
Equip machines with capabilities to automatically discover and learn models for new categories from a large unlabeled dataset. |
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Saksham Suri*,
Sharath Girish*,
Sai Saketh Rambhatla,
Abhinav Shrivastava
ICCV, 2021
Automatically discover and attribute open-world GAN images. |
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Steven Schwarcz,
Sai Saketh Rambhatla,
Rama Chellappa
Novel architecture based on denoising auto-encoders to improve few shot learning. |
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Sai Saketh Rambhatla,
Michael Jones,
Rama Chellappa
IJCNN, 2022
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 |
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Pirazh Khorramshahi*,
Sai Saketh Rambhatla*,
Rama Chellappa
NVIDIA AI City Challenge, CVPR Workshops, 2021
Proposed a real-time system for image-based vehicle re-identification and natural language-based vehicle retrieval. |
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Neehar Peri*,
Pirazh Khorramshahi*,
Sai Saketh Rambhatla*,
Vineet Shenoy,
Saumya Rawat
Jun-Cheng Chen,
Rama Chellappa
NVIDIA AI City Challenge, CVPR Workshops, 2020
Proposed a Real-Time system for Vehicle Re-identification, Multi-Camera Tracking, and Anomaly Detection in a network of traffic cameras. |
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AAAI, 2020
Humans interact with functionally similar objects in a similar manner. |
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arxiv
A method for exploiting the spatial layout information of a human and an object for detecting HOIs in images. |
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ICCV, 2019   (Oral Presentation)
Proposed a novel dual-path adaptive attention model for Vehicle re-identification. |
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Sai Saketh Rambhatla,
Michael Jones
BMVC, 2019
Training deep networks with the ability to align features achieves state of the art performance on Person Re-identification. |
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Reviewer, International Journal of Computer Vision Reviewer, Pattern Recognition Letters Reviewer, IEEE Access Reviewer, ECCV 2020, 2022, 2024 Reviewer, ICCV 2021, 2023 Reviewer, Neurips, 2023 Reviewer, ICLR, 2023, 2024 Reviewer, ICML 2024 Reviewer, CVPR 2021, 2022, 2023, 2024 Reviewer, AAAI 2021, 2022 |
Graduate Teaching Assistant, ENEE222 Fall 2016 Graduate Teaching Assistant, ENEE324 Spring 2017 Graduate Teaching Assistant, ENEE425 Fall 2017 Graduate Teaching Assistant, ENEE630 Fall 2017 |
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