(*: Corresponding author)
Dongming Wu, Yanping Fu, Saike Huang, Yingfei Liu, Fan Jia, Nian Liu, Feng Dai, Tiancai Wang, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jianbing Shen, “RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping”, in ICCV, 2025. [paper][code]
Qi Fan, Kaiqi Liu, Nian Liu*, Hisham Cholakkal, Rao Muhammad Anwer, Wenbin Li, Yang Gao, “Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining”, in ICCV, 2025. [paper][code]
Ziyang Luo, Nian Liu*, Xuguang Yang, Salman Khan, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Junwei Han, “TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models”, in ICCV, 2025. [paper][code]
Long Li, Huichao Xie, Nian Liu*, Dingwen Zhang*, Rao Muhammad Anwer, Hisham Cholakkal, Junwei Han. “Advanced Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. [paper][code]
Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You, “Unsupervised Learning for Class Distribution Mismatch”, in ICML, 2025. [paper]
Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan, “Learning Camouflaged Object Detection from Noisy Pseudo Label”, in ECCV, 2024. [paper]
Long Li, Nian Liu*, Dingwen Zhang, Zhongyu Li, Salman Khan, Rao Anwer, Hisham Cholakkal, Junwei Han*, Fahad Shahbaz Khan, “CONDA: Condensed Deep Association Learning for Co-Salient Object Detection”, in ECCV, 2024. [paper][code]
Yuanwei Liu, Junwei Han*, Xiwen Yao, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Nian Liu*, Fahad Shahbaz Khan, “Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation”, in ICML, 2024. [paper][code]
Ziyang Luo, Nian Liu*, Wangbo Zhao, Xuguang Yang, Dingwen Zhang, Deng-Ping Fan, Fahad Shahbaz Khan, Junwei Han*, “VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning”, in CVPR, 2024. [paper][code]
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]