4 citations · 7 across the 8 of their papers we have counts for
8 papers
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
Shuai Yang, Yifan Zhou, Ziwei Liu +1
Large text-to-image diffusion models have exhibited impressive proficiency in generating high-quality images. However, when applying these models to video domain, ensuring temporal…
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving
Hao Shi, Yifan Zhou, Kailun Yang +2
Optical flow estimation is an essential task in self-driving systems, which helps autonomous vehicles perceive temporal continuity information of surrounding scenes. The calculatio…
PanoFlow: Learning 360° Optical Flow for Surrounding Temporal Understanding
Hao Shi, Yifan Zhou, Kailun Yang +7
Optical flow estimation is a basic task in self-driving and robotics systems, which enables to temporally interpret traffic scenes. Autonomous vehicles clearly benefit from the ult…
Friends and Foes in Learning from Noisy Labels
Yifan Zhou, Yifan Ge, Jianxin Wu
Learning from examples with noisy labels has attracted increasing attention recently. But, this paper will show that the commonly used CIFAR-based datasets and the accuracy evaluat…
Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems
Wei Huang, Yifan Zhou, Gaojie Jin +4
This paper presents a formal verification guided approach for a principled design and implementation of robust and resilient learning-enabled systems. We focus on learning-enabled…
Reliability Validation of Learning Enabled Vehicle Tracking
Youcheng Sun, Yifan Zhou, Simon Maskell +2
This paper studies the reliability of a real-world learning-enabled system, which conducts dynamic vehicle tracking based on a high-resolution wide-area motion imagery input. The s…
Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs)
Yifan Zhou, Simon Maskell
This paper proposes an approach to detect moving objects in Wide Area Motion Imagery (WAMI), in which the objects are both small and well separated. Identifying the objects only us…
Robust and Accurate Global Motion Estimation Using the Student-t Distribution
Yifan Zhou, Simon Maskell
Pixel-based Global Motion Estimation (GME) has always struggled to simultaneously reject outliers, avoid local minima and run quickly. There are many robust cost functions that per…