3 citations · 5 across the 5 of their papers we have counts for
6 papers
RoboChrono: A Real Robot Benchmark for Streaming Task Understanding
Yuzhou Wu, Longteng Fan, Zimeng Li +22
Understanding ongoing robot manipulation requires models to interpret visual observations in relation to interaction history and task progress. We introduce RoboChrono, a benchmark…
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
Suning Huang, Zheyu Zhang, Tianhai Liang +6
Visual deep reinforcement learning (RL) enables robots to acquire skills from visual input for unstructured tasks. However, current algorithms suffer from low sample efficiency, li…
Real-Time Human Action Recognition on Embedded Platforms
Ruiqi Wang, Zichen Wang, Peiqi Gao +7
With advancements in computer vision and deep learning, video-based human action recognition (HAR) has become practical. However, due to the complexity of the computation pipeline,…
ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes
Minghao Fu, Xin Man, Yihan Xu +1
While scene text image super-resolution (STISR) has yielded remarkable improvements in accurately recognizing scene text, prior methodologies have placed excessive emphasis on opti…
Learning by Planning: Language-Guided Global Image Editing
Jing Shi, Ning Xu, Yihang Xu +3
Recently, language-guided global image editing draws increasing attention with growing application potentials. However, previous GAN-based methods are not only confined to domain-s…
Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
Jing Shi, Zhiheng Li, Haitian Zheng +30
This technical report summarizes submissions and compiles from Actor-Action video classification challenge held as a final project in CSC 249/449 Machine Vision course (Spring 2020…