 |
|
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization.
Wei Dong, Junsheng Wu, Yi Luo, Zongyuan Ge, Peng Wang*
In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Paper ·
Project Page
|
|
|
 |
|
Anisotropic Convolutional Neural Networks for RGB-D based Semantic Scene Completion.
Jie Li, Peng Wang*, Kai Han, Yu Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
Paper ·
Project Page
|
|
|
 |
|
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification.
Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang
In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Paper
|
|
|
 |
|
Learning Graph Convolutional Networks for Multi-Label Recognition and Applications.
Zhao-Min Chen, Xiushen Wei, Peng Wang, Yanwen Guo
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
Paper ·
Project Page
|
|
|
 |
|
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks.
Ye Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei
In European Conference on Computer Vision (ECCV), 2020.
Paper
|
|
|
|
|
Anisotropic Convolutional Networks for 3D Semantic Scene Completion.
Jie Li, Kai Han, Peng Wang*, Yu Liu, Xia Yuan
In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Paper ·
Project Page
|
|
|
 |
|
Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension.
Zhenfang Chen, Peng Wang, Lin Ma, Kwan-Yee K. Wong, Qi Wu
In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Paper
|
|
|
 |
|
Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution.
Lei Zhang, Zhiqiang Lang, Peng Wang, Wei Wei, Shengcai Liao, Ling Shao, Yanning Zhang
In AAAI Conference on Artificial Intelligence (AAAI), 2020
Paper
|
|
|
 |
|
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices.
Damien Teney*, Peng Wang*, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
In AAAI Conference on Artificial Intelligence (AAAI), 2020
Paper
|
|
|
 |
|
RPC: A Large-Scale Retail Product Checkout Dataset.
Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu
arXiv preprint
Paper ·
Project Webpage
|
|
|
 |
|
Adaptive importance learning for improving lightweight image super-resolution network.
Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel
International Journal of Computer Vision (IJCV) 2019
Paper ·
Project Webpage
|
|
|
 |
|
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples.
Xiu-Shen Wei*, Peng Wang*, Lingqiao Liu, Chunhua Shen, Jianxin Wu
IEEE Transactions on Image Processing (TIP) 2019
Paper ·
|
|
|
 |
|
Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks.
Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton van den Hengel
In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Paper
|
|
|
 |
|
Multi-Label Image Recognition with Graph Convolutional Networks.
Zhao-Min Chen, Xiushen Wei, Peng Wang, Yanwen Guo
In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Paper ·
Project Page
|
|
|
 |
|
Order-aware convolutional pooling for video based action recognition.
Peng Wang, Lingqiao Liu, Chunhua Shen, Heng Tao Shen
Pattern Recognition (PR) 2019
Paper
|
|
|
 |
|
Adaptive Multi-Path Aggregation for Human DensePose Estimation in The Wild.
Yuyu Guo, Lianli Gao, Jingkuan Song, Peng Wang, Wuyuan Xie and Heng Tao Shen
In ACM Multimedia (MM), 2019.
Paper ·
|
|
|
 |
|
A separation–aggregation network for image denoisingn.
Lei Zhang, Yong Li, Peng Wang, Wei Wei, Songzheng Xu, Yanning Zhang
Applied Soft Computing 2019
Paper
|
|
|
 |
|
Unsupervised domain adaptation using robust class-wise matching.
Lei Zhang*, Peng Wang*, Wei Wei, Hao Lu, Chunhua Shen, Anton van den Hengel, Yanning Zhang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.
Paper ·
|
|
|
 |
|
Visual question answering with memory-augmented networks.
Chao Ma, Chunhua Shen, Anthony Dick, Qi Wu, Peng Wang, Anton van den Hengel, Ian Reid
In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Paper
|
|
|
 |
|
Two-stream 3-d convnet fusion for action recognition in videos with arbitrary size and length.
Xuanhan Wang, Lianli Gao, Peng Wang, Xiaoshuai Sun, Xianglong Liu
IEEE Transactions on Multimedia (TMM), 2017.
Paper
|
|
|
 |
|
Event video mashup: From hundreds of videos to minutes of skeleton.
Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen
In AAAI Conference on Artificial Intelligence (AAAI), 2017, Oral
Paper
|
|
|
 |
|
Compositional model based fisher vector coding for image classification.
Lingqiao Liu*, Peng Wang*, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen
IEEE transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
Paper
|
|
|
 |
|
Multi-attention network for one shot learning
Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen
In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Paper
|
|
|
 |
|
Quartet-net learning for visual instance retrieval.
Jiewei Cao, Zi Huang, Peng Wang, Chao Li, Xiaoshuai Sun, Heng Tao Shen
In ACM Multimedia, 2016.
Paper
|
|
|
 |
|
Web video event recognition by semantic analysis from ubiquitous documents.
Litao Yu, Yang Yang, Zi Huang, Peng Wang, Jingkuan Song, Heng Tao Shen
IEEE Transactions on Image Processing (TIP), 2016.
Paper
|
|
|
 |
|
Where to focus: Query adaptive matching for instance retrieval using convolutional feature maps.
Jiewei Cao, Lingqiao Liu, Peng Wang, Zi Huang, Chunhua Shen, Heng Tao Shen
arXiv preprint, 2016.
Paper
|
|
|
 |
|
Temporal pyramid pooling-based convolutional neural network for action recognition.
Peng Wang, Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu, Heng Tao Shen
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016.
Paper
|
|
|
 |
|
Exploiting temporal information for DCNN-based fine-grained object classification.
ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian Reid, Peter Corke
In Proceedings of Digital Image Computing: Technqiues and Applications (DICTA), 2016, best paper.
Paper
|
|
|
 |
|
What's wrong with that object? Identifying images of unusual objects by modelling the detection score distribution.
Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, spotlight.
Paper
|
|
|