Welcome to Nian Liu's homepage!

Recent News

• The code of our CVPR 2018 paper is released.
• DSCLRCN code released.
• The journal version of our CVPR15 paper is accepted by TNNLS.
• I have arrived at UC Merced to start my joint Ph.D. training under the supervision of Prof. Ming-Hsuan Yang.
• DSCLRCN saliency detection paper released. See Publications.
• Our new saliency model, namely, Deep Spatial Contextual Long-term Recurrent Convolutional Network (DSCLRCN), ranks top on the mit300 and SALICON benchmark datasets. The paper is coming soon!

Biography

I am a fifth year Ph.D. student of School of Automation, Northwestern Polytechnical University (NPU), majoring in Pattern Recognition & Intelligent Systems, supervised by Prof. Junwei Han. Before that, I worked as a master candidate from Sept. 2012 to Jul. 2014 under the supervision of Prof. Han in NPU. I received the B. Eng 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!

Research Interests

My research interests include computer vision related topics and deep learning. Now I mainly focus on saliency detection.

Publications

• 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, 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]
• 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]
• 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]