output
20092026
most citedDeep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priors

368 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

CODE: Cross-Modal Calibration and Dynamic Suppression for Open World Object Detection

Hao Xu, Zhaoning Shi, Hehe Jin +1

Open World Object Detection (OWOD) built on multimodal foundation models often suffers from semantic ambiguity caused by unidirectional text-to-vision matching, while rigid outlier…

cs.CV2021★ 69 cited

Generalized Domain Conditioned Adaptation Network

Shuang Li, Binhui Xie, Qiuxia Lin +3

Domain Adaptation (DA) attempts to transfer knowledge learned in the labeled source domain to the unlabeled but related target domain without requiring large amounts of target supe…

cs.CV2021★ 368 cited

Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priors

Kaihao Zhang, Rongqing Li, Yanjiang Yu +3

Images captured in snowy days suffer from noticeable degradation of scene visibility, which degenerates the performance of current vision-based intelligent systems. Removing snow f…

cs.CV2017★ 14 cited

Supervised Deep Hashing for Hierarchical Labeled Data

Dan Wang, Heyan Huang, Chi Lu +4

Recently, hashing methods have been widely used in large-scale image retrieval. However, most existing hashing methods did not consider the hierarchical relation of labels, which m…

cs.CV2016

Object Recognition Based on Amounts of Unlabeled Data

Fuqiang Liu, Fukun Bi, Liang Chen

This paper proposes a novel semi-supervised method on object recognition. First, based on Boost Picking, a universal algorithm, Boost Picking Teaching (BPT), is proposed to train a…