activity
20182022
most citedLook Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation

5 citations · 11 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV20225 cited

Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World

Xiaopei Zhu, Zhanhao Hu, Siyuan Huang +2

Thermal infrared imaging is widely used in body temperature measurement, security monitoring, and so on, but its safety research attracted attention only in recent years. We propos…

cs.CV20215 cited

Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation

Chufeng Tang, Hang Chen, Xiao Li +3

Tremendous efforts have been made on instance segmentation but the mask quality is still not satisfactory. The boundaries of predicted instance masks are usually imprecise due to t…

cs.CV2019

A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling

Haoran Chen, Ke Lin, Alexander Maye +2

Given the features of a video, recurrent neural networks can be used to automatically generate a caption for the video. Existing methods for video captioning have at least three li…

cs.IR20191 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

Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models

Pengyuan Ren, Jianmin Li

Person re-identification (ReID) is aimed at identifying the same person across videos captured from different cameras. In the view that networks extracting global features using or…