activity
20192023
most citedRestoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go

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

collaborators

5 papers

cs.CV20234 cited

Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go

Ye-Cong Wan, Ming-Wen Shao, Yuan-Shuo Cheng +2

Adverse conditions typically suffer from stochastic hybrid weather degradations (e.g., rainy and hazy night), while existing image restoration algorithms envisage that weather degr…

cs.CV2022

Discovering Objects that Can Move

Zhipeng Bao, Pavel Tokmakov, Allan Jabri +3

This paper studies the problem of object discovery -- separating objects from the background without manual labels. Existing approaches utilize appearance cues, such as color, text…

cs.CV20211 cited

Generative Modeling for Multi-task Visual Learning

Zhipeng Bao, Martial Hebert, Yu-Xiong Wang

Generative modeling has recently shown great promise in computer vision, but it has mostly focused on synthesizing visually realistic images. In this paper, motivated by multi-task…

cs.CV2020

Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis

Zhipeng Bao, Yu-Xiong Wang, Martial Hebert

We propose a novel task of joint few-shot recognition and novel-view synthesis: given only one or few images of a novel object from arbitrary views with only category annotation, w…

eess.IV2019

Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography

Ziqian Luo, Xiangrui Zeng, Zhipeng Bao +1

Deep learning model trained by imbalanced data may not work satisfactorily since it could be determined by major classes and thus may ignore the classes with small amount of data.…