Mihir Prabhudesai

Research

• Video Diffusion Alignment via Reward Gradient

  Mihir Prabhudesai*, Russell Mendonca*, Zheyang Qin*, Katerina Fragkiadaki, Deepak Pathak

  arXiv

  webpage | arxiv | code
• Aligning Text-to-Image Diffusion Models with Reward Backpropagation

  Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki

  arXiv

  webpage | arxiv | code
• Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback

  Mihir Prabhudesai*, Tsung-Wei Ke*, Alexander Cong Li, Deepak Pathak, Katerina Fragkiadaki

  NeurIPS 2023

  webpage | arxiv | code
• Your diffusion model is secretly a zero-shot classifier

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

  ICCV 2023

  webpage | arxiv | code
• Test-time Adaptation with Slot-Centric Models

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

  ICML 2023

  webpage | arxiv | code
• CoCoNets: Continuous contrastive 3D scene representations

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

  CVPR 2021

  webpage | arxiv | code
• Disentangling 3d prototypical networks for few-shot concept learning

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

  ICLR 2021

  webpage | arxiv | code
• 3d-oes: Viewpoint-invariant object-factorized environment simulators

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

  CoRL 2020

  webpage | arxiv
• 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

  CVPR 2020

  webpage | arxiv