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- Peking UniversityCN36 papers
- University of Chinese Academy of SciencesCN20 papers
- Harbin Institute of TechnologyCN19 papers
- Sun Yat-sen UniversityCN19 papers
- Tsinghua UniversityCN18 papers
- Chinese Academy of SciencesCN15 papers
- Beihang UniversityCN14 papers
- Southern University of Science and TechnologyCN14 papers
- Tencent (China)CN11 papers
- Beijing Jiaotong UniversityCN8 papers
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- Institute of Computing TechnologyCN8 papers
69 papers · 1 filter
Continual Referring Expression Comprehension via Dual Modular Memorization
Heng Tao Shen, Cheng Chen, Peng Wang +3
Referring Expression Comprehension (REC) aims to localize an image region of a given object described by a natural-language expression. While promising performance has been demonst…
Class Gradient Projection For Continual Learning
Cheng Chen, Ji Zhang, Jingkuan Song +1
Catastrophic forgetting is one of the most critical challenges in Continual Learning (CL). Recent approaches tackle this problem by projecting the gradient update orthogonal to the…
Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction
Wanying Zhang, Shen Zhao, Fanyang Meng +2
With potential applications in fields including intelligent surveillance and human-robot interaction, the human motion prediction task has become a hot research topic and also has…
P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments
Xujie Kang, Kanglin Liu, Jiang Duan +2
Given a new camera pose in an indoor environment, we study the challenging problem of predicting the view from that pose based on a set of reference RGBD views. Existing exp…
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation
Ping Li, Yu Zhang, Li Yuan +1
Referring Video Object Segmentation (RVOS) requires segmenting the object in video referred by a natural language query. Existing methods mainly rely on sophisticated pipelines to…
Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation
Ping Li, Yu Zhang, Li Yuan +3
Unsupervised Video Object Segmentation (VOS) aims at identifying the contours of primary foreground objects in videos without any prior knowledge. However, previous methods do not…