Mihir Prabhudesai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Diffusion Model

Visual Concepts

Feature Representations

Top Venues

Publications

Mihir Prabhudesai, Russell Mendonca, Zheyang Qin, Katerina Fragkiadaki, Deepak Pathak
Video Diffusion Alignment via Reward Gradients. CoRR (2024)
Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki
Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. NeurIPS (2023)
Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki
Aligning Text-to-Image Diffusion Models with Reward Backpropagation. CoRR (2023)
Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak
Your Diffusion Model is Secretly a Zero-Shot Classifier. ICCV (2023)
Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki
Test-time Adaptation with Slot-Centric Models. ICML (2023)
Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki
Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. CoRR (2023)
Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak
Your Diffusion Model is Secretly a Zero-Shot Classifier. CoRR (2023)
Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki
Generating Fast and Slow: Scene Decomposition via Reconstruction. CoRR (2022)
Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning. ICLR (2021)
Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki
CoCoNets: Continuous Contrastive 3D Scene Representations. CVPR (2021)
Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki
CoCoNets: Continuous Contrastive 3D Scene Representations. CoRR (2021)
Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations. CoRR (2020)
Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. CoRL (2020)
Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki
3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations. CVPR Workshops (2020)
Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki
Embodied Language Grounding With 3D Visual Feature Representations. CVPR (2020)
Hsiao-Yu Fish Tung, Xian Zhou, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. CoRR (2020)
Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning. CoRR (2020)
Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki
Embodied Language Grounding with Implicit 3D Visual Feature Representations. CoRR (2019)