20 citations · 28 across the 6 of their papers we have counts for
7 papers
Unified Framework for Open-World Compositional Zero-shot Learning
Hirunima Jayasekara, Khoi Pham, Nirat Saini +1
Open-World Compositional Zero-Shot Learning (OW-CZSL) addresses the challenge of recognizing novel compositions of known primitives and entities. Even though prior works utilize la…
WayEx: Waypoint Exploration using a Single Demonstration
Mara Levy, Nirat Saini, Abhinav Shrivastava
We propose WayEx, a new method for learning complex goal-conditioned robotics tasks from a single demonstration. Our approach distinguishes itself from existing imitation learning…
InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models
Nirat Saini, Navaneeth Bodla, Ashish Shrivastava +4
We introduce InVi, an approach for inserting or replacing objects within videos (referred to as inpainting) using off-the-shelf, text-to-image latent diffusion models. InVi targets…
Chop & Learn: Recognizing and Generating Object-State Compositions
Nirat Saini, Hanyu Wang, Archana Swaminathan +4
Recognizing and generating object-state compositions has been a challenging task, especially when generalizing to unseen compositions. In this paper, we study the task of cutting o…
Disentangling Visual Embeddings for Attributes and Objects
Nirat Saini, Khoi Pham, Abhinav Shrivastava
We study the problem of compositional zero-shot learning for object-attribute recognition. Prior works use visual features extracted with a backbone network, pre-trained for object…
All About Knowledge Graphs for Actions
Pallabi Ghosh, Nirat Saini, Larry S. Davis +1
Current action recognition systems require large amounts of training data for recognizing an action. Recent works have explored the paradigm of zero-shot and few-shot learning to l…