Name
Papers
Collaborators
JING LIU
164
321
Citations 
PageRank 
Referers 
1781
88.09
3957
Referees 
References 
2755
2301
Search Limit
1001000
Title
Citations
PageRank
Year
Global-Guided Selective Context Network for Scene Parsing00.342022
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.00.342022
Deep residual contextual and subpixel convolution network for automated neuronal structure segmentation in micro-connectomics00.342022
Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention00.342022
TANet: Target Attention Network for Video Bit-Depth Enhancement00.342022
Iterative Residual Feature Refinement Network for Bit-Depth Enhancement00.342022
Learning Appearance-Motion Normality for Video Anomaly Detection00.342022
Look, Listen and Pay More Attention: Fusing Multi-Modal Information for Video Violence Detection.00.342022
Super-resolution semantic segmentation with relation calibrating network00.342022
MM21 Pre-training for Video Understanding Challenge: Video Captioning with Pretraining Techniques00.342021
HAIR - Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering.00.342021
Keypoint Context Aggregation for Human Pose Estimation.00.342021
Show, Tell and Polish: Ruminant Decoding for Image Captioning90.492020
Dual Hierarchical Temporal Convolutional Network with QA-Aware Dynamic Normalization for Video Story Question Answering00.342020
Vc-Vqa: Visual Calibration Mechanism For Visual Question Answering00.342020
Improving visual question answering using dropout and enhanced question encoder.50.422019
BTDP: Toward Sparse Fusion with Block Term Decomposition Pooling for Visual Question Answering10.352019
Mscap: Multi-Style Image Captioning With Unpaired Stylized Text30.382019
Erasing-based Attention Learning for Visual Question Answering40.382019
A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images.20.412018
Dual Attention Network for Scene Segmentation.50.502018
Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation.70.462018
Deep contextual residual network for electron microscopy image segmentation in connectomics20.412018
Sketch-based Image Retrieval using Generative Adversarial Networks.50.412017
Stacked Deconvolutional Network for Semantic Segmentation.100.542017
Fine-Grained Image Classification via Low-Rank Sparse Coding With General and Class-Specific Codebooks.20.352017
Densely Connected Deconvolutional Network For Semantic Segmentation20.372017
Hierarchically Supervised Deconvolutional Network for Semantic Video Segmentation.100.502017
Same-Style Products Mining for Clothes Retrieval.00.342017
Object-aware Deep Network for Commodity Image Retrieval.20.362016
Chat with illustration00.342016
Domain-Sensitive Recommendation with User-Item Subgroup Analysis50.402016
Multimedia News Summarization in Search.60.392016
Automatic face annotation in TV series by video/script alignment.40.402015
Boosted MIML method for weakly-supervised image semantic segmentation.20.382015
Human Age Estimation Based on Locality and Ordinal Information150.482015
Ordinal Distance Metric Learning for Image Ranking.190.652015
Exclusive Constrained Discriminative Learning for Weakly-Supervised Semantic Segmentation10.352015
Robust Structured Subspace Learning for Data Representation1602.642015
Image classification using boosted local features with random orientation and location selection90.442015
Joint image representation and classification in random semantic spaces.50.382015
Learning representative and discriminative image representation by deep appearance and spatial coding20.372015
Semi- and Weakly- Supervised Semantic Segmentation with Deep Convolutional Neural Networks40.402015
Object categorization in sub-semantic space150.512014
Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification00.342014
Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection1262.272014
Learning A Representative And Discriminative Part Model With Deep Convolutional Features For Scene Recognition00.342014
Undoing the codebook bias by linear transformation with sparsity and F-norm constraints for image classification.10.352014
Adaptive spatial partition learning for image classification60.452014
Key observation selection-based effective video synopsis for camera network50.442014
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