- Deformable Convolutional Networks
- Deformable ConvNets v2: More Deformable, Better Results
- GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
- High-Resolution Representations for Labeling Pixels and Regions
- Segmenting the Future
- Dual Attention Network for Scene Segmentation
- Residual pyramid learning for single-shot semantic segmentation
- Scale-Adaptive Neural Dense Features:Learning via Hierarchical Context Aggregation
- Structured Knowledge Distillation for Semantic Segmentation
- In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
- FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
- Shifting More Attention to Video Salient Object Detection
- On guiding video object segmentation
- Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
- A Simple Pooling-Based Design for Real-Time Salient Object Detection
- SAC-Net: Spatial Attenuation Context for Salient Object Detection
- Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
- PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
- PAGRN: Progressive Attention Guided Recurrent Network for Salient Object Detection. (CVPR)
- Direction-aware Spatial Context Features for Shadow Detection
- R³Net: Recurrent Residual Refinement Network for Saliency Detection (IJCAI2018)
- A Bi-Directional Message Passing Model for Salient Object Detection. (CVPR)
- Progressive Attention Guided Recurrent Network for Salient Object Detection. (CVPR)