I am currently an associate professor at the School of Electronic Engineering, Xidian University. My research interests include video captioning, visual question answering, object detection, few-shot learning, unsupervised learning, and transfer learning. Our goal is to build an Efficient, Safe, and Stable single/multi-modal perception and understanding system for open scenarios.

I received my Ph.D. degree at Tianjin University, supervised by Prof. Yahong Han. From 2019 to 2020, I was a visiting student at the University of Technology Sydney, supervised by Prof. Yi Yang. Before Ph.D., I have studied Autonomous Driving for more than 3 years.

News

• Feb 2024. One paper was accepted by CVPR 2024.
• Jan 2024. One paper was accepted by ICLR 2024.
• Jan 2024. One paper was accepted by TIP.
• Oct 2023. One paper was accepted by TPAMI.
• Jul 2023. Two papers were accepted by ICCV 2023.
• Feb 2023. One paper was accepted by CVPR 2023.
• Mar 2022. Two papers were accepted by CVPR 2022.
• Nov 2021. CSIG Outstanding Dissertation.
• One paper was accepted by NeurIPS 2021.
• Two papers were accepted by ICCV 2021.
• One paper was accepted by IJCAI 2021.
• Feb 2021. One paper was accepted by TPAMI.

Selected Publications

^§: equal contribution to the first author. *: corresponding author.

• Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
  Deng Li, Aming Wu, Yaowei Wang, Yahong Han
  CVPR 2024

• Modulated Phase Diffusor: Concept-Oriented Feature Synthesis for Detecting Unknown Objects
  Aming Wu, Cheng Deng
  ICLR 2024

• Unsupervised Out-of-Distribution Object Detection via PCA-Driven Dynamic Prototype Enhancement
  Aming Wu, Cheng Deng
  TIP 2024

• TIB: Detecting Unknown Objects via Two-Stream Information Bottleneck
  Aming Wu, Cheng Deng
  TPAMI 2023

• Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects
  Aming Wu, Cheng Deng
  ICCV 2023

• Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation
  Yukuan Min, Aming Wu*, Cheng Deng
  ICCV 2023

• Discriminating Known from Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder
  Aming Wu, Cheng Deng
  CVPR 2023 [CODE]

• Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation
  Aming Wu, Cheng Deng
  CVPR 2022 [CODE]

• Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery
  Muli Yang, Yuehua Zhu, Jiaping Yu, Aming Wu*, Cheng Deng
  CVPR 2022 [CODE]

• Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement
  Aming Wu, Suqi Zhao, Cheng Deng, Wei Liu
  NeurIPS 2021 [PDF]

• Universal-Prototype Enhancing for Few-Shot Object Detection
  Aming Wu, Yahong Han, Linchao Zhu, Yi Yang
  ICCV 2021 [PDF]

• Vector-Decomposed Disentanglement for Domain-Invariant Object Detection
  Aming Wu, Rui Liu, Yahong Han, Linchao Zhu, Yi Yang
  ICCV 2021 [PDF]

• Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval
  Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu*, Cheng Deng
  IJCAI 2021 [PDF]

• Instance-Invariant Domain Adaptive Object Detection via Progressive Disentanglement
  Aming Wu, Yahong Han, Linchao Zhu, Yi Yang
  TPAMI, DOI: 10.1109/TPAMI.2021.3060446 [PDF]

• Connective Cognition Network for Directional Visual Commonsense Reasoning
  Aming Wu, Linchao Zhu, Yahong Han, Yi Yang
  NeurIPS 2019 [PDF]

• Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation
  Pin Jiang, Aming Wu^§, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
  IJCAI 2020 [PDF]

• Hierarchical Memory Decoder for Visual Narrating
  Aming Wu, Yahong Han, Zhou Zhao, Yi Yang
  TCSVT, DOI: 10.1109/TCSVT.2020.3020877 [PDF]

• Convolutional Reconstruction-to-Sequence for Video Captioning
  Aming Wu, Yahong Han, Yi Yang, Qinghua Hu, Fei Wu
  TCSVT, DOI: 10.1109/TCSVT.2019.2956593 [PDF]

• Video Interactive Captioning with Human Prompts
  Aming Wu, Yahong Han, Yi Yang
  IJCAI 2019 [PDF]

• Multi-modal Circulant Fusion for Video-to-Language and Backward
  Aming Wu, Yahong Han
  IJCAI 2018 [PDF]