activity
20232025
most citedSampling to Distill: Knowledge Transfer from Open-World Data

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

RoboRetriever: Single-Camera Robot Object Retrieval via Active and Interactive Perception with Dynamic Scene Graph

Hecheng Wang, Jiankun Ren, Jia Yu +2

Humans effortlessly retrieve objects in cluttered, partially observable environments by combining visual reasoning, active viewpoint adjustment, and physical interaction-with only…

cs.CV2024

Self-Cooperation Knowledge Distillation for Novel Class Discovery

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang +2

Novel Class Discovery (NCD) aims to discover unknown and novel classes in an unlabeled set by leveraging knowledge already learned about known classes. Existing works focus on inst…

cs.RO2023

Hierarchical Visual Policy Learning for Long-Horizon Robot Manipulation in Densely Cluttered Scenes

Hecheng Wang, Lizhe Qi, Bin Fang +1

In this work, we focus on addressing the long-horizon manipulation tasks in densely cluttered scenes. Such tasks require policies to effectively manage severe occlusions among obje…

cs.CV2023★ 3 cited

Sampling to Distill: Knowledge Transfer from Open-World Data

Yuzheng Wang, Zhaoyu Chen, Jie Zhang +7

Data-Free Knowledge Distillation (DFKD) is a novel task that aims to train high-performance student models using only the pre-trained teacher network without original training data…

cs.CV2023

Explicit and Implicit Knowledge Distillation via Unlabeled Data

Yuzheng Wang, Zuhao Ge, Zhaoyu Chen +4

Data-free knowledge distillation is a challenging model lightweight task for scenarios in which the original dataset is not available. Previous methods require a lot of extra compu…