75 citations · 183 across the 22 of their papers we have counts for
5 papers · 2 filters
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving
Zhonghua Yi, Hao Shi, Kailun Yang +5
Key-point-based scene understanding is fundamental for autonomous driving applications. At the same time, optical flow plays an important role in many vision tasks. However, due to…
Towards Anytime Optical Flow Estimation with Event Cameras
Yaozu Ye, Hao Shi, Kailun Yang +5
Event cameras respond to changes in log-brightness at the millisecond level, making them ideal for optical flow estimation. However, existing datasets from event cameras provide on…
LF-PGVIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras using Points and Geodesic Segments
Ze Wang, Kailun Yang, Hao Shi +4
In this paper, we propose LF-PGVIO, a Visual-Inertial-Odometry (VIO) framework for large Field-of-View (FoV) cameras with a negative plane using points and geodesic segments. The p…
Binary Latent Diffusion
Ze Wang, Jiang Wang, Zicheng Liu +1
In this paper, we show that a binary latent space can be explored for compact yet expressive image representations. We model the bi-directional mappings between an image and the co…
Energy-Inspired Self-Supervised Pretraining for Vision Models
Ze Wang, Jiang Wang, Zicheng Liu +1
Motivated by the fact that forward and backward passes of a deep network naturally form symmetric mappings between input and output representations, we introduce a simple yet effec…