Welcome to Nian Liu's homepage!
One paper 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.
I am currently a researcher with the Inception Institute of Artificial Intelligence, Abu Dhabi, UAE, working with Prof. Ling Shao. Before that, I was a research associate with the Mohamed bin Zayed University of Artificial Intelligence. I received the Ph.D. degree from School of Automation, Northwestern Polytechnical University (NPU) in 2020, majoring in Pattern Recognition & Intelligent Systems, supervised by Prof. Junwei Han. Before that, I worked as a master student from Sept. 2012 to Jul. 2014, under the supervision of Prof. Han in NPU. I received the B.S. degree from Honors College at NPU in 2012.
From Dec. 2016 to Dec. 2017, I was a visiting Ph.D. student in Vision and Learning Lab, at Electrical Engineering and Computer Science, University of California at Merced, under the supervision of Prof. Ming-Hsuan Yang. What a precious experience to work with Ming-Hsuan!
My research interests include computer vision related topics and deep learning.
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]
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] (*: Corresponding author)
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]
Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han, “Weakly Supervised Video Salient Object Detection”, in CVPR, 2021. [paper]
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]
Senmao Ye, Junwei Han, and Nian Liu, "Attentive Linear Transformation for Image Captioning", in IEEE Transactions on Image Processing, 27(11): 5514-5524, 2018. [paper]
Le Yang , Junwei Han, Dingwen Zhang, Nian Liu, and Dong Zhang, "Segmentation in Weakly Labeled Videos via a Semantic Ranking and Optical Warping Network", in IEEE Transactions on Image Processing, 27(8): 4025-4037, 2018. [paper]
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]
Junwei Han, Dingwen Zhang, Gong Cheng, Nian Liu, and Dong Xu, "Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey", in IEEE Signal Processing Magazine, 35(1): 84-100, 2018. [paper]
Junwei Han, Hao Chen, Nian Liu, Chenggang Yan, and Xuelong Li, "CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion", in IEEE Transactions on Cybernetics, 48(11): 3171-3183 , 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]