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Mihir Prabhudesai
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2020 – today
- 2024
- [i10]Mihir Prabhudesai, Russell Mendonca, Zheyang Qin, Katerina Fragkiadaki, Deepak Pathak:
Video Diffusion Alignment via Reward Gradients. CoRR abs/2407.08737 (2024) - 2023
- [c8]Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak:
Your Diffusion Model is Secretly a Zero-Shot Classifier. ICCV 2023: 2206-2217 - [c7]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: 28151-28166 - [c6]Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki:
Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. NeurIPS 2023 - [i9]Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak:
Your Diffusion Model is Secretly a Zero-Shot Classifier. CoRR abs/2303.16203 (2023) - [i8]Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki:
Aligning Text-to-Image Diffusion Models with Reward Backpropagation. CoRR abs/2310.03739 (2023) - [i7]Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki:
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback. CoRR abs/2311.16102 (2023) - 2022
- [i6]Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki:
Generating Fast and Slow: Scene Decomposition via Reconstruction. CoRR abs/2203.11194 (2022) - 2021
- [c5]Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki:
CoCoNets: Continuous Contrastive 3D Scene Representations. CVPR 2021: 12487-12496 - [c4]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 - [i5]Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki:
CoCoNets: Continuous Contrastive 3D Scene Representations. CoRR abs/2104.03851 (2021) - 2020
- [c3]Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki:
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. CoRL 2020: 1669-1683 - [c2]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: 1567-1570 - [c1]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: 2217-2226 - [i4]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 abs/2010.16279 (2020) - [i3]Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki:
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning. CoRR abs/2011.03367 (2020) - [i2]Hsiao-Yu Fish Tung, Xian Zhou, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki:
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. CoRR abs/2011.06464 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1910.01210 (2019)
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