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cs.CV2026
GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning
Yixuan Luo, Feng Qiao, Zhexiao Xiong +2
Optical flow estimation is a fundamental problem in computer vision, yet the reliance on expensive ground-truth annotations limits the scalability of supervised approaches. Althoug…
cs.CV2025
2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model
Zilong Guo, Yi Luo, Long Sha +4
End-to-end autonomous driving has drawn tremendous attention recently. Many works focus on using modular deep neural networks to construct the end-to-end archi-tecture. However, wh…
cs.CV2023
BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling
Yixuan Luo, Mengye Ren, Sai Qian Zhang
Like masked language modeling (MLM) in natural language processing, masked image modeling (MIM) aims to extract valuable insights from image patches to enhance the feature extracti…