CVPR is a top conference in the field of computer vision and pattern recognition, and the topics and research directions of the paper cover a wide range of fields. The following are some common thesis topics or research directions:

1. Target detection and tracking: This paper studies how to accurately detect and track target objects in images or videos, including deep learning-based methods and feature-based methods.

2. Semantic segmentation: Study how to assign each pixel in the image to different categories, so as to realize fine-grained understanding of the image.

3. Face detection and recognition: Study how to accurately detect and recognize faces, including deep learning-based methods and feature-based methods.

4. Behavior recognition: Study how to recognize human behavior from video, including action recognition and attitude estimation.

5. Image generation and synthesis: Study how to generate realistic images, including image super-resolution, image restoration, image style conversion, etc.

6. 3D reconstruction: Study how to recover 3D scene from 2D images, including stereo matching and stereo vision.

7. Object recognition and classification: Study how to recognize and classify objects in images, including object detection and object recognition.

8. Image denoising and enhancement: Study how to remove the noise in the image and enhance the image quality, including denoising methods and image enhancement methods.

9. Visual navigation and positioning: Study how to use visual information for navigation and positioning, including visual SLAM and visual odometer.

10. Face recognition and verification: This paper studies how to use face recognition technology for identity verification and security monitoring, including face recognition algorithm and face live detection.