A Multi-level Weighted Representation for Person Re-identification. - Xianglai Meng; Biao Leng; Guanglu Song (ICANN (2), 2017)

Spatial Quality Aware Network for Video-Based Person Re-identification. - Yujie Wang; Biao Leng; Guanglu Song (ICONIP (3), 2017)

Region-Based Quality Estimation Network for Large-Scale Person Re-Identification. - Guanglu Song; Biao Leng; Yu Liu 015; Congrui Hetang; Shaofan Cai (AAAI, 2018)

Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy. - Guanglu Song; Yu Liu 015; Ming Jiang; Yujie Wang; Junjie Yan; Biao Leng (CVPR, 2018)

Transductive Centroid Projection for Semi-supervised Large-Scale Recognition. - Yu Liu 015; Guanglu Song; Jing Shao; Xiao Jin; Xiaogang Wang 001 (ECCV (5), 2018)

Fast Portrait Matting Using Spatial Detail-Preserving Network. - Shaofan Cai; Biao Leng; Guanglu Song; Zheng Ge (ICONIP (6), 2018)

Towards Flops-Constrained Face Recognition. - Yu Liu 015; Guanglu Song; Manyuan Zhang; Jihao Liu; Yucong Zhou; Junjie Yan (ICCV Workshops, 2019)

Scale Pyramid Attention for Single Shot MultiBox Detector. - Jie Hao; Feng Jiang; Rufei Zhang; Xipeng Lin; Biao Leng; Guanglu Song (IEEE Access, 2019)

Spatial-Transformed Regional Quality Estimation Network for Large-Variance Person Re-Identification. - Ming Jiang; Biao Leng; Zhijun Meng; Guanglu Song (IEEE Access, 2019)

KPNet: Towards Minimal Face Detector. - Guanglu Song; Yu Liu 015; Yuhang Zang; Xiaogang Wang 001; Biao Leng; Qingsheng Yuan (AAAI, 2020)

Revisiting the Sibling Head in Object Detector. - Guanglu Song; Yu Liu 015; Xiaogang Wang 001 (CVPR, 2020)

Discriminability Distillation in Group Representation Learning. - Manyuan Zhang; Guanglu Song; Hang Zhou 009; Yu Liu 015 (ECCV (10), 2020)

Top-1 Solution of Multi-Moments in Time Challenge 2019. - Manyuan Zhang; Hao Shao; Guanglu Song; Yu Liu 015; Junjie Yan (CoRR, 2020)

1st Place Solutions for OpenImage2019 - Object Detection and Instance Segmentation. - Yu Liu 015; Guanglu Song; Yuhang Zang; Yan Gao 017; Enze Xie; Junjie Yan; Chen Change Loy; Xiaogang Wang 001 (CoRR, 2020)

1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020. - Siyu Chen; Junting Pan; Guanglu Song; Manyuan Zhang; Hao Shao; Ziyi Lin; Jing Shao; Hongsheng Li 001; Yu Liu 015 (CoRR, 2020)

Weighted triple-sequence loss for video-based person re-identification. - Ming Jiang; Biao Leng; Guanglu Song; Zhijun Meng (Neurocomputing, 2020)

Switchable K-class Hyperplanes for Noise-Robust Representation Learning. - Boxiao Liu; Guanglu Song; Manyuan Zhang; Haihang You; Yu Liu 015 (ICCV, 2021)

Rectifying the Data Bias in Knowledge Distillation. - Boxiao Liu; Shenghan Zhang; Guanglu Song; Haihang You; Yu Liu 015 (ICCVW, 2021)

PCNET: Parallelly Conquer the Large Variance of Person Re-Identification. - Jianyuan Wang; Meiyue You; Biao Leng; Ming Jiang; Guanglu Song (ICIP, 2021)

Scale Semantic Flow Preserving Across Image Pyramid. - Zhili Lin; Guanglu Song; Biao Leng (ICONIP (5), 2021)

FNAS: Uncertainty-Aware Fast Neural Architecture Search. - Jihao Liu; Ming Zhang; Yangting Sun; Boxiao Liu; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (CoRR, 2021)

INTERN: A New Learning Paradigm Towards General Vision. - Jing Shao; Siyu Chen; Yangguang Li 001; Kun Wang; Zhenfei Yin; Yinan He; Jianing Teng; Qinghong Sun; Mengya Gao; Jihao Liu; Gengshi Huang; Guanglu Song; et al. (CoRR, 2021)

Unifying Visual Perception by Dispersible Points Learning. - Jianming Liang; Guanglu Song; Biao Leng; Yu Liu 015 (ECCV (9), 2022)

UniNet: Unified Architecture Search with Convolution, Transformer, and MLP. - Jihao Liu; Xin Huang; Guanglu Song; Hongsheng Li 001; Yu Liu 015 (ECCV (21), 2022)

Rethinking Robust Representation Learning Under Fine-Grained Noisy Faces. - Bingqi Ma; Guanglu Song; Boxiao Liu; Yu Liu 015 (ECCV (12), 2022)

Towards Robust Face Recognition with Comprehensive Search. - Manyuan Zhang; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (ECCV (12), 2022)

Self-slimmed Vision Transformer. - Zhuofan Zong; Kunchang Li 002; Guanglu Song; Yali Wang 001; Yu Qiao 001; Biao Leng; Yu Liu 015 (ECCV (11), 2022)

UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning. - Kunchang Li 002; Yali Wang 001; Peng Gao 007; Guanglu Song; Yu Liu 015; Hongsheng Li 001; Yu Qiao 001 (ICLR, 2022)

Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes. - Zeyue Xue; Jianming Liang; Guanglu Song; Zhuofan Zong; Liang Chen; Yu Liu 015; Ping Luo 002 (NeurIPS, 2022)

UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning. - Kunchang Li 002; Yali Wang 001; Peng Gao 007; Guanglu Song; Yu Liu 015; Hongsheng Li 001; Yu Qiao 001 (CoRR, 2022)

Large-batch Optimization for Dense Visual Predictions. - Zeyue Xue; Jianming Liang; Guanglu Song; Zhuofan Zong; Liang Chen; Yu Liu 015; Ping Luo 002 (CoRR, 2022)

UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors. - Shanshan Lao; Guanglu Song; Boxiao Liu; Yu Liu 015; Yujiu Yang (ICCV, 2023)

Masked Autoencoders Are Stronger Knowledge Distillers. - Shanshan Lao; Guanglu Song; Boxiao Liu; Yu Liu 015; Yujiu Yang (ICCV, 2023)

Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection. - Manyuan Zhang; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (ICCV, 2023)

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction. - Zhuofan Zong; Dongzhi Jiang; Guanglu Song; Zeyue Xue; Jingyong Su; Hongsheng Li 001; Yu Liu 015 (ICCV, 2023)

DETRs with Collaborative Hybrid Assignments Training. - Zhuofan Zong; Guanglu Song; Yu Liu 015 (ICCV, 2023)

RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths. - Zeyue Xue; Guanglu Song; Qiushan Guo; Boxiao Liu; Zhuofan Zong; Yu Liu 015; Ping Luo 002 (NeurIPS, 2023)

Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising. - Fu-Yun Wang; Wenshuo Chen; Guanglu Song; Han-Jia Ye; Yu Liu 015; Hongsheng Li 001 (CoRR, 2023)

Towards Large-scale Masked Face Recognition. - Manyuan Zhang; Bingqi Ma; Guanglu Song; Yunxiao Wang; Hongsheng Li 001; Yu Liu 015 (CoRR, 2023)

UniFormer: Unifying Convolution and Self-Attention for Visual Recognition. - Kunchang Li 002; Yali Wang 001; Junhao Zhang; Peng Gao 007; Guanglu Song; Yu Liu 015; Hongsheng Li 001; Yu Qiao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Teach-DETR: Better Training DETR With Teachers. - Linjiang Huang; Kaixin Lu; Guanglu Song; Liang Wang 001; Si Liu 001; Yu Liu 015; Hongsheng Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

LMDrive: Closed-Loop End-to-End Driving with Large Language Models. - Hao Shao; Yuxuan Hu; Letian Wang; Guanglu Song; Steven L. Waslander; Yu Liu 015; Hongsheng Li 001 (CVPR, 2024)

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance. - Dazhong Shen; Guanglu Song; Zeyue Xue; Fu-Yun Wang; Yu Liu 015 (CVPR, 2024)

FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis. - Linjiang Huang; Rongyao Fang; Aiping Zhang; Guanglu Song; Si Liu 001; Yu Liu 015; Hongsheng Li 001 (ECCV (12), 2024)

ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model. - Fu-Yun Wang; Zhaoyang Huang; Qiang Ma; Guanglu Song; Xudong Lu; Weikang Bian; Yijin Li; Yu Liu 015; Hongsheng Li 001 (ECCV (45), 2024)

Be-Your-Outpainter: Mastering Video Outpainting Through Input-Specific Adaptation. - Fu-Yun Wang; Xiaoshi Wu; Zhaoyang Huang; Xiaoyu Shi 002; Dazhong Shen; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (ECCV (44), 2024)

Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models. - Xiaoshi Wu; Yiming Hao; Manyuan Zhang; Keqiang Sun; Zhaoyang Huang; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (ECCV (83), 2024)

Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediction Tasks. - Manyuan Zhang; Guanglu Song; Xiaoyu Shi 002; Yu Liu 015; Hongsheng Li 001 (ECCV (42), 2024)

CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching. - Dongzhi Jiang; Guanglu Song; Xiaoshi Wu; Renrui Zhang; Dazhong Shen; Zhuofan Zong; Yu Liu 015; Hongsheng Li 001 (NeurIPS, 2024)

Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models. - Bingqi Ma; Zhuofan Zong; Guanglu Song; Hongsheng Li 001; Yu Liu 015 (NeurIPS, 2024)

Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning. - Hao Shao; Shengju Qian; Han Xiao 010; Guanglu Song; Zhuofan Zong; Letian Wang; Yu Liu 015; Hongsheng Li 001 (NeurIPS, 2024)

Phased Consistency Models. - Fu-Yun Wang; Zhaoyang Huang; Alexander William Bergman; Dazhong Shen; Peng Gao 007; Michael Lingelbach; Keqiang Sun; Weikang Bian; Guanglu Song; Yu Liu 015; Xiaogang Wang 001; Hongsheng Li 001 (NeurIPS, 2024)

MoVA: Adapting Mixture of Vision Experts to Multimodal Context. - Zhuofan Zong; Bingqi Ma; Dazhong Shen; Guanglu Song; Hao Shao; Dongzhi Jiang; Hongsheng Li 001; Yu Liu 015 (NeurIPS, 2024)

AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data. - Fu-Yun Wang; Zhaoyang Huang; Weikang Bian; Xiaoyu Shi 002; Keqiang Sun; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (SIGGRAPH Asia Technical Communications, 2024)

AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning. - Fu-Yun Wang; Zhaoyang Huang; Xiaoyu Shi 002; Weikang Bian; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (CoRR, 2024)

Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models. - Hao Shao; Shengju Qian; Han Xiao 010; Guanglu Song; Zhuofan Zong; Letian Wang; Yu Liu 015; Hongsheng Li 001 (CoRR, 2024)

Phased Consistency Model. - Fu-Yun Wang; Zhaoyang Huang; Alexander William Bergman; Dazhong Shen; Peng Gao 007; Michael Lingelbach; Keqiang Sun; Weikang Bian; Guanglu Song; Yu Liu 015; Hongsheng Li 001; Xiaogang Wang 001 (CoRR, 2024)

MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines. - Dongzhi Jiang; Renrui Zhang; Ziyu Guo; Yanmin Wu; Jiayi Lei; Pengshuo Qiu; Pan Lu; Zehui Chen; Guanglu Song; Peng Gao 007; Yu Liu 015; Chunyuan Li; et al. (CoRR, 2024)

Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning. - Jianxiong Li; Zhihao Wang; Jinliang Zheng; Xiaoai Zhou; Guanming Wang; Guanglu Song; Yu Liu 015; Jingjing Liu; Ya-Qin Zhang; Junzhi Yu; Xianyuan Zhan (CoRR, 2024)

See Further When Clear: Curriculum Consistency Model. - Yunpeng Liu; Boxiao Liu; Yi Zhang 108; Xingzhong Hou; Guanglu Song; Yu Liu 015; Haihang You (CoRR, 2024)

EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM. - Zhuofan Zong; Dongzhi Jiang; Bingqi Ma; Guanglu Song; Hao Shao; Dazhong Shen; Yu Liu 015; Hongsheng Li 001 (CoRR, 2024)

VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping. - Hao Shao; Shulun Wang; Yang Zhou 019; Guanglu Song; Dailan He; Shuo Qin; Zhuofan Zong; Bingqi Ma; Yu Liu 015; Hongsheng Li 001 (CoRR, 2024)

See Further When Clear: Curriculum Consistency Model. - Yunpeng Liu; Boxiao Liu; Yi Zhang; Xingzhong Hou; Guanglu Song; Yu Liu; Haihang You (CVPR, 2025)

MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines. - Dongzhi Jiang; Renrui Zhang; Ziyu Guo; Yanmin Wu; Jiayi Lei; Pengshuo Qiu; Pan Lu; Zehui Chen; Guanglu Song; Peng Gao 007; Yu Liu 015; Chunyuan Li; et al. (ICLR, 2025)

High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning. - Dailan He; Xiahong Wang; Shulun Wang; Guanglu Song; Bingqi Ma; Hao Shao; Yu Liu 015; Hongsheng Li 001 (CoRR, 2025)

ADT: Tuning Diffusion Models with Adversarial Supervision. - Dazhong Shen; Guanglu Song; Yi Zhang 108; Bingqi Ma; Lujundong Li; Dongzhi Jiang; Zhuofan Zong; Yu Liu 015 (CoRR, 2025)

Towards Seamless Borders: A Method for Mitigating Inconsistencies in Image Inpainting and Outpainting. - Xingzhong Hou; Jie Wu; Boxiao Liu; Yi Zhang; Guanglu Song; Yunpeng Liu; Yu Liu; Haihang You (CoRR, 2025)