activity
20192023
most citedDisentangling Semantic-to-visual Confusion for Zero-shot Learning

30 citations · 66 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 4 cited

Coarse to Fine: Multi-label Image Classification with Global/Local Attention

Fan Lyu, Fuyuan Hu, Victor S. Sheng +3

In our daily life, the scenes around us are always with multiple labels especially in a smart city, i.e., recognizing the information of city operation to response and control. Gre…

cs.LG2020★ 5 cited

Multi-Domain Multi-Task Rehearsal for Lifelong Learning

Fan Lyu, Shuai Wang, Wei Feng +3

Rehearsal, seeking to remind the model by storing old knowledge in lifelong learning, is one of the most effective ways to mitigate catastrophic forgetting, i.e., biased forgetting…

cs.CV2020★ 1 cited

Associating Multi-Scale Receptive Fields for Fine-grained Recognition

Zihan Ye, Fuyuan Hu, Yin Liu +3

Extracting and fusing part features have become the key of fined-grained image recognition. Recently, Non-local (NL) module has shown excellent improvement in image recognition. Ho…

cs.CV2020

Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition

Zhongguo Li, Fan Lyu, Wei Feng +1

With the development of Augmented Reality (AR), egocentric action recognition (EAR) plays important role in accurately understanding demands from the user. However, EAR is designed…

cs.CV2020

MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension

Shuai Wang, Fan Lyu, Wei Feng +1

Referring expression comprehension (REC) aims to localize a text-related region in a given image by a referring expression in natural language. Existing methods focus on how to bui…