activity
20212024
most citedExploring Open-Vocabulary Semantic Segmentation without Human Labels

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

collaborators

5 papers

hep-ph2024

Polarization and quantum entanglement effects in process

Kaiwen Chen, Yiqi Geng, Yichao Jin +2

Motivated by the very recent observation of the decay using proton-proton collision data by the LHCb collaboration, we study the four-body angular distribut…

cs.CV2023

EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding

Chenchen Zhu, Fanyi Xiao, Andres Alvarado +6

Object understanding in egocentric visual data is arguably a fundamental research topic in egocentric vision. However, existing object datasets are either non-egocentric or have li…

cs.CV20234 cited

Exploring Open-Vocabulary Semantic Segmentation without Human Labels

Jun Chen, Deyao Zhu, Guocheng Qian +6

Semantic segmentation is a crucial task in computer vision that involves segmenting images into semantically meaningful regions at the pixel level. However, existing approaches oft…

cs.CV20231 cited

Going Denser with Open-Vocabulary Part Segmentation

Peize Sun, Shoufa Chen, Chenchen Zhu +4

Object detection has been expanded from a limited number of categories to open vocabulary. Moving forward, a complete intelligent vision system requires understanding more fine-gra…

cs.CV2021

Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search

Yifan Jiang, Xinyu Gong, Junru Wu +3

Efficient video architecture is the key to deploying video recognition systems on devices with limited computing resources. Unfortunately, existing video architectures are often co…