Zhao Xiao-Qi’s two papers: Suppress and Balance: A Simple Gated Network for Salient Object Detection and A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection.
Prof. Wang Li-Jun’s paper: CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss.
Pang You-Wei’s paper：Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection.
Prof. Zhang Miao’s paper：Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection.
Ji Wei’s paper: Accurate RGB-D Salient Object Detection via Collaborative Learning.
Dr Zhang Lu’s paper: Unsupervised Video Object Segmentation with Joint Hotspot Tracking.
Zeng Yu’s paper: High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling.
Congratulations to the above students and teachers！