most citedVehicle Perception from Satellite

23 citations · 32 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024★ 2 cited

Semi-LLIE: Semi-supervised Contrastive Learning with Mamba-based Low-light Image Enhancement

Guanlin Li, Ke Zhang, Ting Wang +3

Despite the impressive advancements made in recent low-light image enhancement techniques, the scarcity of paired data has emerged as a significant obstacle to further advancements…

physics.optics2024

Diffusion-driven lensless fiber endomicroscopic quantitative phase imaging towards digital pathology

Zhaoqing Chen, Jiawei Sun, Xibin Yang +4

Lensless fiber endomicroscope is an emerging tool for in-vivo microscopic imaging, where quantitative phase imaging (QPI) can be utilized as a label-free method to enhance image co…

cs.LG2024

Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models

Yang Zhang, Chenjia Bai, Bin Zhao +3

Learning a world model for model-free Reinforcement Learning (RL) agents can significantly improve the sample efficiency by learning policies in imagination. However, building a wo…

cs.LG2024★ 7 cited

Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning

Chenjia Bai, Lingxiao Wang, Jianye Hao +4

Offline Reinforcement Learning (RL) has shown promising results in learning a task-specific policy from a fixed dataset. However, successful offline RL often relies heavily on the…

cs.CV2024

Motion-Aware Video Frame Interpolation

Pengfei Han, Fuhua Zhang, Bin Zhao +1

Video frame interpolation methodologies endeavor to create novel frames betwixt extant ones, with the intent of augmenting the video's frame frequency. However, current methods are…

cs.LG2024

Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training

Haoran He, Chenjia Bai, Ling Pan +3

Learning a generalist embodied agent capable of completing multiple tasks poses challenges, primarily stemming from the scarcity of action-labeled robotic datasets. In contrast, a…

cs.CV2024★ 23 cited

Vehicle Perception from Satellite

Bin Zhao, Pengfei Han, Xuelong Li

Satellites are capable of capturing high-resolution videos. It makes vehicle perception from satellite become possible. Compared to street surveillance, drive recorder or other equ…