activity
20132023
most citedHyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

228 citations · 314 across the 11 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.CV2018

Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks

Peng Wang, Qi Wu, Jiewei Cao +3

The task in referring expression comprehension is to localise the object instance in an image described by a referring expression phrased in natural language. As a language-to-visi…

cs.CV2018

Visual Question Answering as Reading Comprehension

Hui Li, Peng Wang, Chunhua Shen +1

Visual question answering (VQA) demands simultaneous comprehension of both the image visual content and natural language questions. In some cases, the reasoning needs the help of c…

cs.CV2018

Towards Effective Deep Embedding for Zero-Shot Learning

Lei Zhang, Peng Wang, Lingqiao Liu +4

Zero-shot learning (ZSL) can be formulated as a cross-domain matching problem: after being projected into a joint embedding space, a visual sample will match against all candidate…

cs.CV2018

Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network

Lei Zhang, Peng Wang, Chunhua Shen +4

Deep neural networks have achieved remarkable success in single image super-resolution (SISR). The computing and memory requirements of these methods have hindered their applicatio…

cs.CV2018

Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples

Xiu-Shen Wei, Peng Wang, Lingqiao Liu +2

Humans are capable of learning a new fine-grained concept with very little supervision, \emph{e.g.}, few exemplary images for a species of bird, yet our best deep learning systems…