activity
20172022
most citedLearning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals

32 citations · 36 across the 3 of their papers we have counts for

collaborators

10 papers

cs.CV2022

Towards Universal Backward-Compatible Representation Learning

Binjie Zhang, Yixiao Ge, Yantao Shen +6

Conventional model upgrades for visual search systems require offline refresh of gallery features by feeding gallery images into new models (dubbed as "backfill"), which is time-co…

cs.CV20223 cited

Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval

Binjie Zhang, Yixiao Ge, Yantao Shen +5

The task of hot-refresh model upgrades of image retrieval systems plays an essential role in the industry but has never been investigated in academia before. Conventional cold-refr…

cs.HC20211 cited

Printed Texts Tracking and Following for a Finger-Wearable Electro-Braille System Through Opto-electrotactile Feedback

Mehdi Rahimi, Yantao Shen, Zhiming Liu +1

This paper presents our recent development on a portable and refreshable text reading and sensory substitution system for the blind or visually impaired (BVI), called Finger-eye. T…

cs.CV2020

Towards Backward-Compatible Representation Learning

Yantao Shen, Yuanjun Xiong, Wei Xia +1

We propose a way to learn visual features that are compatible with previously computed ones even when they have different dimensions and are learned via different neural network ar…

cs.RO2018

A Comparison of Various Approaches to Reinforcement Learning Algorithms for Multi-robot Box Pushing

Mehdi Rahimi, Spencer Gibb, Yantao Shen +1

In this paper, a comparison of reinforcement learning algorithms and their performance on a robot box pushing task is provided. The robot box pushing problem is structured as both…

cs.CV2018

Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association

Dapeng Chen, Hongsheng Li, Xihui Liu +3

Person re-identification is an important task that requires learning discriminative visual features for distinguishing different person identities. Diverse auxiliary information ha…