TCCF: Tracking Based on Convolutional Neural Network and Correlation Filters. - Qiankun Liu 001; Bin Liu 016; Nenghai Yu (ICIG (1), 2017)

Object-Oriented Anomaly Detection in Surveillance Videos. - Xiaodan Li; Weihai Li; Bin Liu 016; Qiankun Liu 001; Nenghai Yu (ICASSP, 2018)

Enhanced Video Segmentation with Object Tracking. - Zheran Hong; Sheng Chen; Zhentao Tan; Qiankun Liu 001; Bin Liu 016; Nenghai Yu (ICIG (1), 2019)

Real-Time Online Multi-Object Tracking in Compressed Domain. - Qiankun Liu 001; Bin Liu 016; Yue Wu; Weihai Li; Nenghai Yu (IEEE Access, 2019)

GSM: Graph Similarity Model for Multi-Object Tracking. - Qiankun Liu 001; Qi Chu 001; Bin Liu 016; Nenghai Yu (IJCAI, 2020)

Reduce Information Loss in Transformers for Pluralistic Image Inpainting. - Qiankun Liu 001; Zhentao Tan; Dongdong Chen 001; Qi Chu 001; Xiyang Dai; Yinpeng Chen; Mengchen Liu; Lu Yuan; Nenghai Yu (CVPR, 2022)

UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection. - Wanyi Zhuang; Qi Chu 001; Zhentao Tan; Qiankun Liu 001; Haojie Yuan; Changtao Miao; Zixiang Luo; Nenghai Yu (ECCV (5), 2022)

Online multi-object tracking with unsupervised re-identification learning and occlusion estimation. - Qiankun Liu 001; Dongdong Chen 001; Qi Chu 001; Lu Yuan; Bin Liu 016; Lei Zhang 001; Nenghai Yu (Neurocomputing, 2022)

Sliding Window Detection and Distance-Based Matching for Tracking on Gigapixel Images. - Yichen Li; Qiankun Liu 001; Xiaoyong Wang; Ying Fu 001 (CICAI (1), 2023)

GLCANet: Context Attention for Infrared Small Target Detection. - Rui Liu 019; Qiankun Liu 001; Xiaoyong Wang; Ying Fu 001 (CICAI (1), 2023)

Dual-Feature Enhancement for Weakly Supervised Temporal Action Localization. - Siying Liu; Qiankun Liu 001; Qi Chu 001; Bin Liu 016; Nenghai Yu (ICASSP, 2023)

A Simple Masked Autoencoder Paradigm for Point Cloud. - Zixiang Luo; Qi Chu 001; Qiankun Liu 001; Bin Liu 016; Nenghai Yu (ICME Workshops, 2023)

Exploiting Diffusion Model as Prompt Generator for Object Localization. - Yuqi Jiang; Qiankun Liu 001; Yichen Li; Hao Jia; Ying Fu 001 (IFTC (2), 2023)

MGT: Modality-Guided Transformer for Infrared and Visible Image Fusion. - Taoying Zhang; Hesong Li; Qiankun Liu 001; Xiaoyong Wang; Ying Fu 001 (PRCV (1), 2023)

HQ-50K: A Large-scale, High-quality Dataset for Image Restoration. - Qinhong Yang; Dongdong Chen 001; Zhentao Tan; Qiankun Liu 001; Qi Chu 001; Jianmin Bao; Lu Yuan; Gang Hua 001; Nenghai Yu (CoRR, 2023)

Semantic Probability Distribution Modeling for Diverse Semantic Image Synthesis. - Zhentao Tan; Qi Chu 001; Menglei Chai; Dongdong Chen 001; Jing Liao 001; Qiankun Liu 001; Bin Liu 016; Gang Hua 001; Nenghai Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Infrared Small Target Detection with Scale and Location Sensitivity. - Qiankun Liu 001; Rui Liu 019; Bolun Zheng; Hongkui Wang; Ying Fu 001 (CVPR, 2024)

Towards More Unified In-Context Visual Understanding. - Dianmo Sheng; Dongdong Chen 001; Zhentao Tan; Qiankun Liu 001; Qi Chu 001; Jianmin Bao; Tao Gong; Bin Liu 016; Shengwei Xu; Nenghai Yu (CVPR, 2024)

Multi-Object Tracking in the Dark. - Xinzhe Wang; Kang Ma; Qiankun Liu 001; Yunhao Zou; Ying Fu 001 (CVPR, 2024)

Object-Aware NIR-to-Visible Translation. - Yunyi Gao; Lin Gu 003; Qiankun Liu 001; Ying Fu 001 (ECCV (23), 2024)

Siamese-DETR for Generic Multi-Object Tracking. - Qiankun Liu 001; Yichen Li; Yuqi Jiang; Ying Fu 001 (IEEE Trans. Image Process., 2024)

Exploring the Application of Large-Scale Pre-Trained Models on Adverse Weather Removal. - Zhentao Tan; Yue Wu; Qiankun Liu 001; Qi Chu 001; Le Lu 001; Jieping Ye; Nenghai Yu (IEEE Trans. Image Process., 2024)

AnimeDiff: Customized Image Generation of Anime Characters Using Diffusion Model. - Yuqi Jiang; Qiankun Liu 001; Dongdong Chen 001; Lu Yuan; Ying Fu 001 (IEEE Trans. Multim., 2024)

Raw Image Based Over-Exposure Correction Using Channel-Guidance Strategy. - Ying Fu 001; Yang Hong; Yunhao Zou; Qiankun Liu 001; Yiming Zhang; Ning Liu; Chenggang Yan 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Transformer Based Pluralistic Image Completion With Reduced Information Loss. - Qiankun Liu 001; Yuqi Jiang; Zhentao Tan; Dongdong Chen 001; Ying Fu 001; Qi Chu 001; Gang Hua 001; Nenghai Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

UNICL-SAM: Uncertainty-Driven In-Context Segmentation with Part Prototype Discovery. - Dianmo Sheng; Dongdong Chen 001; Zhentao Tan; Qiankun Liu 001; Qi Chu 001; Tao Gong; Bin Liu 016; Jing Han; Wenbin Tu; Shengwei Xu; Nenghai Yu (CVPR, 2025)