Poster & Demos

Poster Presentations

1. Liang Zheng: Label-free model evaluation

2. Bryan Russell: Language-guided music recommendation for video via prompt analogies

3. Yong Jae Lee: GLIGEN: Open-Set Grounded Text-to-Image Generation

4. Jonghyun Choi: Visual Recognition in Practical Scenarios

5. Efstratios  Gavves: Causal Deep Learning for Foundational Embodied AI

6. Lamberto Ballan: Exploiting Proximity-Aware Tasks for Embodied Social Navigation

7. Seunghoon Hong: Universal Few-shot Learning of Dense Visual Prediction

8. Yannis  Kalantidis: Fake it till you make it: Learning transferable representations from synthetic ImageNet clones

9. Ishan Misra: Cut and Learn for Unsupervised Object Detection and Instance Segmentation

10. Lu Jiang: The Dull Child Paradox in Foundation Models

11. Rohit Girdhar: ImageBind: One Embedding to Bind Them All

12. John Collomosse: Image Provenance: To Authenticity and Beyond!

13. Shaodi You: Physics Modeling for Outdoor Computer Vision

14. Tianfu Wu: ArtiHippo: Learning to Grow Artificial Hippocampi in Vision Transformers for Resilient Lifelong Learning

15. Varun Jampani: 3D of Everything

16. Vittorio Ferrari: Connecting Vision and Language with Video Localized Narratives

17. Wanli Ouyang: FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead

18. Michael Wray: Understanding Video-Text Retrieval in Long-Form Videos

19. Jian Wang: Computational imaging at Snap

20. Saurabh Gupta: Scaling up Robot Learning by Understanding Videos

21. Xinlei Chen: R-MAE: Regions Meet Masked Autoencoders

22. Matthew Blaschko: Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning

23. Miaomiao Liu: Scalable 3D Object Centric Learning 

24. Michael Maire: Unsupervised Segmentation with Diffusion Models

25. Neill Campbell: Structured Uncertainty in Generative Models

26. Fernando De la Torre: Zero-Shot Model Diagnosis

27. Zsolt Kira: Continual Open-World Learning in the Era of Foundation Models

28. Fuxin Li: AutoFocusFormer: Image Segmentation off Grid

29. Hiroshi Kawasaki: Challenges on Extreme 3D sensing

30. Piotr Koniusz: Contrastive learning with GNNs

31. Yezhou Yang: Decentralized User Attribution and Latent Fingerprinting in Image Generative Models

32. Boqing Gong: On the evaluation and calibration of vision foundation models

33. Alex Toshev: On Robustness in Multimodal Learning

34. Andrew Owens: EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata

35. Andre Araujo: Local-Features++: Deformable, 3D-aware, Scalable retrieval

Demo Presentations

1. Mike Zheng Shou: Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

2. Qifeng Chen: A Toolkit for Personalized Text-to-Video Generation and Editing

Preparation Instructions

Posters will be the same size as for the main conference: https://cvpr2023.thecvf.com/Conferences/2023/PosterPrintingInformation