The Computer Vision and Pattern Recognition (CVPR) conference is expected to be one of the biggest ones yet, bringing together some of the brightest minds in computer vision. The Encord community has voted on their most anticipated papers from CVPR 2023, including ImageBind, a multimodal learning model that integrates six different types of data into a single embedding space, and Mask DINO, which provides state-of-the-art results for object detection and segmentation tasks. Other notable papers include Improving Visual Representation Learning through Perceptual Understanding, Learning Neural Parametric Head Models, Data-driven Feature Tracking for Event Cameras, Humans As Light Bulbs: 3D Human Reconstruction From Thermal Reflection, and Trainable Projected Gradient Method for Robust Fine-Tuning. These papers showcase advancements in various areas of computer vision, including generative AI, object detection, segmentation, and human reconstruction. The Encord community is excited to see these developments at CVPR 2023 and looks forward to meeting the researchers behind these innovative projects.