Mihir Prabhudesai

According to our database, Mihir Prabhudesai authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback.

Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki

CoRR, 2023

Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki

CoRR, 2023

Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback.

Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Test-time Adaptation with Slot-Centric Models.

Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki

Proceedings of the International Conference on Machine Learning, 2023

Your Diffusion Model is Secretly a Zero-Shot Classifier.

Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Generating Fast and Slow: Scene Decomposition via Reconstruction.

Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki

CoRR, 2022

2021

Disentangling 3D Prototypical Networks for Few-Shot Concept Learning.

Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki

Proceedings of the 9th International Conference on Learning Representations, 2021

CoCoNets: Continuous Contrastive 3D Scene Representations.

Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators.

Hsiao-Yu Fish Tung, Xian Zhou, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki

CoRR, 2020

3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations.

Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki

CoRR, 2020

Embodied Language Grounding With 3D Visual Feature Representations.

Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations.

Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators.

Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Embodied Language Grounding with Implicit 3D Visual Feature Representations.

Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki

CoRR, 2019