Kabra, Rishabh

12 publications

ICCV 2025 From Image to Video: An Empirical Study of Diffusion Representations Pedro Vélez, Luisa F. Polanía, Yi Yang, Chuhan Zhang, Rishabh Kabra, Anurag Arnab, Mehdi S. M. Sajjadi

NeurIPS 2025 OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts Shiting Xiao, Rishabh Kabra, Yuhang Li, Donghyun Lee, Joao Carreira, Priyadarshini Panda

ICML 2024 Leveraging VLM-Based Pipelines to Annotate 3D Objects Rishabh Kabra, Loic Matthey, Alexander Lerchner, Niloy Mitra

NeurIPS 2024 Moving Off-the-Grid: Scene-Grounded Video Representations Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Albert Keck, Joao Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf

NeurIPS 2024 Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf

ICMLW 2024 Variational Inference with Censored Gaussian Process Regressors Andrea Karlova, Rishabh Kabra, Daniel Augusto de Souza, Brooks Paige

NeurIPSW 2023 Evaluating VLMs for Score-Based, Multi-Probe Annotation of 3D Objects Rishabh Kabra, Loic Matthey, Alexander Lerchner, Niloy Mitra

ICCV 2021 PARTS: Unsupervised Segmentation with Slots, Attention and Independence Maximization Daniel Zoran, Rishabh Kabra, Alexander Lerchner, Danilo J. Rezende

NeurIPS 2021 SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt Botvinick, Alexander Lerchner, Chris Burgess

NeurIPS 2021 Unsupervised Object-Based Transition Models for 3D Partially Observable Environments Antonia Creswell, Rishabh Kabra, Chris Burgess, Murray Shanahan

ICML 2019 An Investigation of Model-Free Planning Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sebastien Racaniere, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy Lillicrap

ICML 2019 Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loic Matthey, Matthew Botvinick, Alexander Lerchner