Dong Tian

5 papers · 2018–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer

Venues

CVPR (4) ICLR (1)

Top co-authors

Yaoqing Yang (2) Jiahao Pang (2) Chen Feng (2) Yiru Shen (2) YingLi Tian (1) Hongyi Zhou (1) Haiyan Wang (1) Duanshun Li (1) Ge Li (1) Muhammad A. Lodhi (1)

Research topics

Deep Learning (5) Architectures (4) Computer Vision (3) Machine Learning (3) Analysis (3) Core Methods (2) Learning Types · Machine Learning (2) Reinforcement Learning (1) Robotics (1) Applications (1) Learning Types · Deep Learning (1) Methods (1) Models (1) Processing (1) Techniques (1)

Keywords

point cloud (4) representation learning (2) 3d reconstruction (2) 3d vision (1) geometric deep learning (1) robot learning (1) topology learning (1) off-policy learning (1) generative model (1) local structure (1) feature aggregation (1) episodic reinforcement learning (1) graph pooling (1) movement primitive (1) flow estimation (1) point cloud reconstruction (1) scene flow (1) semantic learning (1) graph neural network (1) spatial-temporal attention (1)

Papers

TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning ICLR 2025 FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds CVPR 2021 TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations CVPR 2021 FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation CVPR 2018 Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling CVPR 2018