activity
20162019
most citedUG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

36 citations · 57 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2019★ 36 cited

UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Ye Yuan, Wenhan Yang, Wenqi Ren +3

The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…

cs.IR2019★ 1 cited

Joint Cluster Unary Loss for Efficient Cross-Modal Hashing

Shifeng Zhang, Jianmin Li, Bo Zhang

With the rapid growth of various types of multimodal data, cross-modal deep hashing has received broad attention for solving cross-modal retrieval problems efficiently. Most cross-…

cs.CV2019

Pairwise Teacher-Student Network for Semi-Supervised Hashing

Shifeng Zhang, Jianmin Li, Bo Zhang

Hashing method maps similar high-dimensional data to binary hashcodes with smaller hamming distance, and it has received broad attention due to its low storage cost and fast retrie…

cs.CV2018★ 8 cited

ScratchDet: Training Single-Shot Object Detectors from Scratch

Rui Zhu, Shifeng Zhang, Xiaobo Wang +4

Current state-of-the-art object objectors are fine-tuned from the off-the-shelf networks pretrained on large-scale classification dataset ImageNet, which incurs some additional pro…

cs.CV2018★ 11 cited

Semantic Cluster Unary Loss for Efficient Deep Hashing

Shifeng Zhang, Jianmin Li, Bo Zhang

Hashing method maps similar data to binary hashcodes with smaller hamming distance, which has received a broad attention due to its low storage cost and fast retrieval speed. With…

cs.CV2016★ 1 cited

Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization

Shifeng Zhang, Jianmin Li, Jinma Guo +1

Hashing method maps similar data to binary hashcodes with smaller hamming distance, and it has received a broad attention due to its low storage cost and fast retrieval speed. Howe…