Welcome to Nian Liu's homepage!

Research Scientist

Mohamed bin Zayed University of Artificial Intelligence

Masdar City, Abu Dhabi, UAE

Email: liunian228@gmail.com

Chinese name: 刘念

Recent News

  • One paper accepted by NeurIPS 2022.

  • One paper accepted by CVPR 2022.

  • Two papers accepted by TPAMI.

  • Three papers accepted by ICCV 2021.

  • We released the first pure transformer-based saliency detection paper, Visual Saliency Transformer, check it out!

  • I received the Outstanding Doctoral Dissertation Award from the China Society of Image and Graphics (CSIG).

  • We release a large-scale and high-quality RGB-D salient object detection benchmark dataset, i.e., ReDWeb-S.

Biography

I am currently a research scientist with the Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE, working with Prof. Fahad Khan at the MBZUAI Computer Vision Lab. Before that, I was a senior research associate with the Inception Institute of Artificial Intelligence. I received my Ph.D. degree from the School of Automation, Northwestern Polytechnical University (NPU) in 2020, majoring in Pattern Recognition & Intelligent Systems, supervised by Prof. Junwei Han. Before that, I was a master's student supervised by Prof. Han from Sept. 2012 to Jul. 2014. I received a B.S. degree from Honors College at NPU in 2012.

From Dec. 2016 to Dec. 2017, I was a visiting Ph.D. student in the Vision and Learning Lab, at Electrical Engineering and Computer Science, the University of California at Merced, under the supervision of Prof. Ming-Hsuan Yang. What a precious experience to work with Ming-Hsuan!

Research Interests

My research interests include computer vision-related topics and deep learning, especially saliency detection, few-shot learning, and autonomous driving (3D detection, map segmentation, etc., with multi-view camera and lidar data).

Selected Publications (*: Corresponding author)

  • Yuanwei Liu, Nian Liu (co-first author), Xiwen Yao, Junwei Han, “Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation”, in NeurIPS, 2022. [paper][code]

  • Yuanwei Liu, Nian Liu*, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao, “Learning Non-target Knowledge for Few-shot Semantic Segmentation”, in CVPR, 2022. [paper][code]

  • Mingchen Zhuge, Deng-Ping Fan, Nian Liu*, Dingwen Zhang*, Dong Xu, Ling Shao, “Salient object detection via integrity learning”, in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022. [paper][code]

  • Ni Zhang, Nian Liu (co-first author), Junwei Han, Kaiyuan Wan, Ling Shao, “Face De-occlusion with Deep Cascade Guidance Learning”, in IEEE Transactions on Multimedia, 2022. [paper][code]

  • Nian Liu, Ni Zhang, Ling Shao, Junwei Han, “Learning selective mutual attention and contrast for RGB-D saliency detection”, in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. [paper][ReDWeb-S dataset]

  • Nian Liu, Long Li, Wangbo Zhao, Junwei Han, and Ling Shao, “Instance-Level Relative Saliency Ranking with Graph Reasoning”, in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. [paper][code]

  • Nian Liu, Ni Zhang, Kaiyuan Wan, Ling Shao, and Junwei Han, “Visual Saliency Transformer”, in ICCV, 2021. [paper][code]

  • Ni Zhang, Junwei Han, Nian Liu*, and Ling Shao, “Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection", in ICCV, 2021. [paper][code]

  • Nian Liu, Wangbo Zhao, Dingwen Zhang, Junwei Han, and Ling Shao, “Light Field Saliency Detection with Dual Local Graph Learning and Reciprocative Guidance”, in ICCV, 2021. [paper][code]

  • Nian Liu, Wangbo Zhao, Ling Shao, and Junwei Han, “SCG: Saliency and Contour Guided Salient Instance Segmentation”, in IEEE Transactions on Image Processing, 2021. [paper][code]

  • Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han, “Weakly Supervised Video Salient Object Detection”, in CVPR, 2021. [paper]

  • Nian Liu, Ni Zhang, and Junwei Han, “Learning Selective Self-Mutual Attention for RGB-D Saliency Detection ”, in CVPR, 2020. [paper][code and saliency maps]

  • Nian Liu, Junwei Han, and Ming-Hsuan Yang, “PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection”, in IEEE Transactions on Image Processing, 2020. [paper][code]

  • Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, and Ming-Hsuan Yang, "Online Multi-Object Tracking with Dual Matching Attention Networks", in ECCV, 2018. [paper]

  • Nian Liu, Junwei Han, and Ming-Hsuan Yang, “PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection”, in CVPR, 2018. [paper][supp][code][saliency maps]

  • Nian Liu and Junwei Han, “A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection”, in IEEE Transactions on Image Processing, 27(7): 3264-3274, 2018. [paper] [code]

  • Nian Liu, Junwei Han, Tianming Liu, and Xuelong Li, "Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks", in IEEE Transactions on Neural Networks and Learning Systems, 29(2): 392-404, 2018. [paper]

  • Nian Liu and Junwei Han, “DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection”, in CVPR, 2016. [paper][code with pretrained model:Google Drive, Baidu Yun][saliency maps:Google Drive, Baidu Yun]

  • Nian Liu, Junwei Han, Dingwen Zhang, Shifeng Wen, and Tianming Liu, "Predicting Eye Fixations using Convolutional Neural Networks", in CVPR, 2015. [paper][saliency maps: Google Drive, Baidu Yun]