10 citations · 25 across the 12 of their papers we have counts for
5 papers · 1 filter
Mem-World: Memory-Augmented Action-Conditioned World Models for Persistent Robot Manipulation
Zirui Zheng, Jiaqian Yu, Xiongfeng Peng +7
Action-conditioned world models have emerged as a promising paradigm for robot learning, offering a scalable alternative to costly real-world experimentation by generating action-c…
Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles
Zifu Wang, Junyi Zhu, Bo Tang +4
The application of rule-based reinforcement learning (RL) to multimodal large language models (MLLMs) introduces unique challenges and potential deviations from findings in text-on…
HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction
Yi Zhou, Hui Zhang, Jiaqian Yu +4
Vectorized High-Definition (HD) map construction requires predictions of the category and point coordinates of map elements (e.g. road boundary, lane divider, pedestrian crossing,…
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union
Zifu Wang, Maxim Berman, Amal Rannen-Triki +6
Semantic segmentation datasets often exhibit two types of imbalance: \textit{class imbalance}, where some classes appear more frequently than others and \textit{size imbalance}, wh…
An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses
Jiaqian Yu, Matthew B. Blaschko
Several supermodular losses have been shown to improve the perceptual quality of image segmentation in a discriminative framework such as a structured output support vector machine…