486 citations · 2.3k across the 55 of their papers we have counts for
9 papers · 1 filter
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition
Biao Qian, Yang Wang, Zhao Zhang +3
Deep convolutional neural networks have largely benefited computer vision tasks. However, the high computational complexity limits their real-world applications. To this end, many…
A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining
Yanyan Wei, Zhao Zhang, Haijun Zhang +2
Single image deraining task is still a very challenging task due to its ill-posed nature in reality. Recently, researchers have tried to fix this issue by training the CNN-based en…
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation
Zhao Zhang, Jiahuan Ren, Sheng Li +3
We propose a novel and unsupervised representation learning model, i.e., Robust Block-Diagonal Adaptive Locality-constrained Latent Representation (rBDLR). rBDLR is able to recover…
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning
Zhao Zhang, Jiahuan Ren, Weiming Jiang +4
We propose a joint subspace recovery and enhanced locality based robust flexible label consistent dictionary learning method called Robust Flexible Discriminative Dictionary Learni…
Learning to Compose and Reason with Language Tree Structures for Visual Grounding
Richang Hong, Daqing Liu, Xiaoyu Mo +2
Grounding natural language in images, such as localizing "the black dog on the left of the tree", is one of the core problems in artificial intelligence, as it needs to comprehend…
Personalized Multimedia Item and Key Frame Recommendation
Le Wu, Lei Chen, Yonghui Yang +4
When recommending or advertising items to users, an emerging trend is to present each multimedia item with a key frame image (e.g., the poster of a movie). As each multimedia item…
Online Filter Clustering and Pruning for Efficient Convnets
Zhengguang Zhou, Wengang Zhou, Richang Hong +1
Pruning filters is an effective method for accelerating deep neural networks (DNNs), but most existing approaches prune filters on a pre-trained network directly which limits in ac…
A Neural Influence Diffusion Model for Social Recommendation
Le Wu, Peijie Sun, Yanjie Fu +3
Precise user and item embedding learning is the key to building a successful recommender system. Traditionally, Collaborative Filtering(CF) provides a way to learn user and item em…
Cross-Entropy Adversarial View Adaptation for Person Re-identification
Lin Wu, Richang Hong, Yang Wang +1
Person re-identification (re-ID) is a task of matching pedestrians under disjoint camera views. To recognise paired snapshots, it has to cope with large cross-view variations cause…