(*: Corresponding author)
Ziyang Luo, Nian Liu*, Wangbo Zhao, Xuguang Yang, Dingwen Zhang, Deng-Ping Fan, Fahad Khan, Junwei Han, “VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning”, in CVPR, 2024. [paper]
Hao Li, Dingwen Zhang*, Yalun Dai, Nian Liu*, Lechao Cheng, Jingfeng Li, Jingdong Wang, Junwei Han, “GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding”, in CVPR, 2024. [paper]
Nian Liu, Ziyang Luo, Ni Zhang, and Junwei Han. “VST++: Efficient and Stronger Visual Saliency Transformer”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. [paper]
Binglu Wang, Chenxi Guo, Yang Jin, Haisheng Xia, and Nian Liu*. “TransGOP: Transformer-Based Gaze Object Prediction”, in AAAI, 2024. [paper]
Ni Zhang, Nian Liu*, Fang Nan, and Junwei Han. “CADC++: Advanced Consensus-Aware Dynamic Convolution for Co-Salient Object Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. [paper][code]
Long Li, Junwei Han, Nian Liu*, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan. “Robust Perception and Precise Segmentation for Scribble-Supervised RGB-D Saliency Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. [paper][code]
Nian Liu, Kepan Nan, Wangbo Zhao, Yuanwei Liu, Xiwen Yao, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Junwei Han, Fahad Shahbaz Khan, “Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation”, in ICCV, 2023. [paper][code]
Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo, “Towards Instance-adaptive Inference for Federated Learning”, in ICCV, 2023. [paper]
Long Li, Junwei Han, Ni Zhang, Nian Liu*, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, “Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection”, in CVPR, 2023. [paper][code]
Hao Li, Dingwen Zhang, Nian Liu, Lechao Cheng, Yalun Dai, Chao Zhang, Xinggang Wang, Junwei Han, “Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt”, in CVPR, 2023. [paper][code]
Nian Liu, Kepan Nan, Wangbo Zhao, Xiwen Yao, Junwei Han, “Learning Complementary Spatial–Temporal Transformer for Video Salient Object Detection”, IEEE Transactions on Neural Networks and Learning Systems, 2023. [paper]
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”, 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”, 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”, 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”, 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”, 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”, 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”, 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", 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]