Box Aggregation for Proposal Decimation: Last Mile of Object Detection. - Shu Liu 005; Cewu Lu; Jiaya Jia (ICCV, 2015)

Contour Box: Rejecting Object Proposals without Explicit Closed Contours. - Cewu Lu; Shu Liu 005; Jiaya Jia; Chi-Keung Tang (ICCV, 2015)

Semantic Segmentation with Object Clique Potential. - Xiaojuan Qi 001; Jianping Shi; Shu Liu 005; Renjie Liao; Jiaya Jia (ICCV, 2015)

Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation. - Shu Liu 005; Xiaojuan Qi 001; Jianping Shi; Hong Zhang 009; Jiaya Jia (CVPR, 2016)

SGN: Sequential Grouping Networks for Instance Segmentation. - Shu Liu 005; Jiaya Jia; Sanja Fidler; Raquel Urtasun (ICCV, 2017)

Path Aggregation Network for Instance Segmentation. - Shu Liu 005; Lu Qi; Haifang Qin; Jianping Shi; Jiaya Jia (CVPR, 2018)

PSANet: Point-wise Spatial Attention Network for Scene Parsing. - Hengshuang Zhao; Yi Zhang 039; Shu Liu 005; Jianping Shi; Chen Change Loy; Dahua Lin; Jiaya Jia (ECCV (9), 2018)

Sequential Context Encoding for Duplicate Removal. - Lu Qi; Shu Liu 005; Jianping Shi; Jiaya Jia (NeurIPS, 2018)

IPOD: Intensive Point-based Object Detector for Point Cloud. - Zetong Yang; Yanan Sun 005; Shu Liu 005; Xiaoyong Shen; Jiaya Jia (CoRR, 2018)

Amodal Instance Segmentation With KINS Dataset. - Lu Qi; Li Jiang 009; Shu Liu 005; Xiaoyong Shen; Jiaya Jia (CVPR, 2019)

Associatively Segmenting Instances and Semantics in Point Clouds. - Xinlong Wang; Shu Liu 005; Xiaoyong Shen; Chunhua Shen; Jiaya Jia (CVPR, 2019)

Fast Point R-CNN. - Yilun Chen; Shu Liu 005; Xiaoyong Shen; Jiaya Jia (ICCV, 2019)

Fast and Practical Neural Architecture Search. - Jiequan Cui; Pengguang Chen; Ruiyu Li; Shu Liu 005; Xiaoyong Shen; Jiaya Jia (ICCV, 2019)

Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation. - Li Jiang 009; Hengshuang Zhao; Shu Liu 005; Xiaoyong Shen; Chi-Wing Fu; Jiaya Jia (ICCV, 2019)

STD: Sparse-to-Dense 3D Object Detector for Point Cloud. - Zetong Yang; Yanan Sun 005; Shu Liu 005; Xiaoyong Shen; Jiaya Jia (ICCV, 2019)

Human Pose Estimation with Spatial Contextual Information. - Hong Zhang 009; Hao Ouyang; Shu Liu 005; Xiaojuan Qi 001; Xiaoyong Shen; Ruigang Yang; Jiaya Jia (CoRR, 2019)

Orthogonal Center Learning with Subspace Masking for Person Re-Identification. - Weinong Wang; Wenjie Pei; Qiong Cao; Shu Liu 005; Xiaoyong Shen; Yu-Wing Tai (CoRR, 2019)

DSGN: Deep Stereo Geometry Network for 3D Object Detection. - Yilun Chen; Shu Liu 005; Xiaoyong Shen; Jiaya Jia (CVPR, 2020)

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. - Li Jiang 009; Hengshuang Zhao; Shaoshuai Shi; Shu Liu 005; Chi-Wing Fu; Jiaya Jia (CVPR, 2020)

3DSSD: Point-Based 3D Single Stage Object Detector. - Zetong Yang; Yanan Sun 005; Shu Liu 005; Jiaya Jia (CVPR, 2020)

Dive Deeper into Box for Object Detection. - Ran Chen 001; Yong Liu; Mengdan Zhang; Shu Liu 005; Bei Yu 001; Yu-Wing Tai (ECCV (22), 2020)

CN: Channel Normalization for Point Cloud Recognition. - Zetong Yang; Yanan Sun 005; Shu Liu 005; Xiaojuan Qi 001; Jiaya Jia (ECCV (10), 2020)

GridMask Data Augmentation. - Pengguang Chen; Shu Liu 005; Hengshuang Zhao; Jiaya Jia (CoRR, 2020)

Outdoor RGBD Instance Segmentation With Residual Regretting Learning. - Zhengtian Xu; Shu Liu 005; Jianping Shi; Cewu Lu (IEEE Trans. Image Process., 2020)

Jigsaw Clustering for Unsupervised Visual Representation Learning. - Pengguang Chen; Shu Liu 005; Jiaya Jia (CVPR, 2021)

Distilling Knowledge via Knowledge Review. - Pengguang Chen; Shu Liu 005; Hengshuang Zhao; Jiaya Jia (CVPR, 2021)

Self-Supervised 3D Mesh Reconstruction From Single Images. - Tao Hu 011; Liwei Wang 009; Xiaogang Xu 002; Shu Liu 005; Jiaya Jia (CVPR, 2021)

Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency. - Xin Lai; Zhuotao Tian; Li Jiang 009; Shu Liu 005; Hengshuang Zhao; Liwei Wang 009; Jiaya Jia (CVPR, 2021)

Improving Calibration for Long-Tailed Recognition. - Zhisheng Zhong; Jiequan Cui; Shu Liu 005; Jiaya Jia (CVPR, 2021)

Deep Structured Instance Graph for Distilling Object Detectors. - Yixin Chen; Pengguang Chen; Shu Liu 005; Liwei Wang 009; Jiaya Jia (ICCV, 2021)

Learnable Boundary Guided Adversarial Training. - Jiequan Cui; Shu Liu 005; Liwei Wang 009; Jiaya Jia (ICCV, 2021)

Parametric Contrastive Learning. - Jiequan Cui; Zhisheng Zhong; Shu Liu 005; Bei Yu 001; Jiaya Jia (ICCV, 2021)

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation. - Li Jiang 009; Shaoshuai Shi; Zhuotao Tian; Xin Lai; Shu Liu 005; Chi-Wing Fu; Jiaya Jia (ICCV, 2021)

Video Instance Segmentation with a Propose-Reduce Paradigm. - Huaijia Lin; Ruizheng Wu; Shu Liu 005; Jiangbo Lu; Jiaya Jia (ICCV, 2021)

Exploring and Improving Mobile Level Vision Transformers. - Pengguang Chen; Yixin Chen; Shu Liu 005; Ming-Chang Yang; Jiaya Jia (CoRR, 2021)

Push for Center Learning via Orthogonalization and Subspace Masking for Person Re-Identification. - Weinong Wang; Wenjie Pei; Qiong Cao; Shu Liu 005; Guangming Lu 002; Yu-Wing Tai (IEEE Trans. Image Process., 2021)

EfficientNeRF - Efficient Neural Radiance Fields. - Tao Hu 011; Shu Liu 005; Yilun Chen; Tiancheng Shen; Jiaya Jia (CVPR, 2022)

Stratified Transformer for 3D Point Cloud Segmentation. - Xin Lai; Jianhui Liu; Li Jiang 009; Liwei Wang 009; Hengshuang Zhao; Shu Liu 005; Xiaojuan Qi 001; Jiaya Jia (CVPR, 2022)

Generalized Few-shot Semantic Segmentation. - Zhuotao Tian; Xin Lai; Li Jiang 009; Shu Liu 005; Michelle Shu; Hengshuang Zhao; Jiaya Jia (CVPR, 2022)

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation. - Xin Lai; Zhuotao Tian; Xiaogang Xu 002; Ying-Cong Chen; Shu Liu 005; Hengshuang Zhao; Liwei Wang 009; Jiaya Jia (ECCV (33), 2022)

SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment. - Yixin Chen; Zhuotao Tian; Pengguang Chen; Shu Liu 005; Jiaya Jia (CoRR, 2022)

Learning Context-Aware Classifier for Semantic Segmentation. - Zhuotao Tian; Jiequan Cui; Li Jiang 009; Xiaojuan Qi 001; Xin Lai; Yixin Chen; Shu Liu 005; Jiaya Jia (AAAI, 2023)

Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields. - Tao Hu 011; Xiaogang Xu 002; Shu Liu 005; Jiaya Jia (CVPR, 2023)

Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. - Jingyao Li; Pengguang Chen; Zexin He; Shaozuo Yu; Shu Liu 005; Jiaya Jia (CVPR, 2023)

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation. - Bohao Peng; Zhuotao Tian; Xiaoyang Wu 002; Chengyao Wang; Shu Liu 005; Jingyong Su; Jiaya Jia (CVPR, 2023)

Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection. - Wenhang Ge; Tao Hu 011; Haoyu Zhao; Shu Liu 005; Ying-Cong Chen (ICCV, 2023)

Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation. - Luozhou Wang; Shuai Yang; Shu Liu 005; Ying-Cong Chen (ICCV, 2023)

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation. - Bohao Peng; Zhuotao Tian; Xiaoyang Wu 002; Chenyao Wang; Shu Liu 005; Jingyong Su; Jiaya Jia (CoRR, 2023)

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract. - Bohao Peng; Zhuotao Tian; Xiaoyang Wu 002; Chengyao Wang; Shu Liu 005; Jingyong Su; Jiaya Jia (CoRR, 2023)

A Scale-Invariant Task Balancing Approach for Multi-Task Learning. - Baijiong Lin; Weisen Jiang; Feiyang Ye 001; Yu Zhang 006; Pengguang Chen; Ying-Cong Chen; Shu Liu 005 (CoRR, 2023)

Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics. - Shuai Yang; Zhifei Chen; Pengguang Chen; Xi Fang; Shu Liu 005; Yingcong Chen (CoRR, 2023)

An Improved Baseline for Reasoning Segmentation with Large Language Model. - Senqiao Yang; Tianyuan Qu; Xin Lai; Zhuotao Tian; Bohao Peng; Shu Liu 005; Jiaya Jia (CoRR, 2023)

Adaptive Perspective Distillation for Semantic Segmentation. - Zhuotao Tian; Pengguang Chen; Xin Lai; Li Jiang 009; Shu Liu 005; Hengshuang Zhao; Bei Yu 001; Ming-Chang Yang; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ResLT: Residual Learning for Long-Tailed Recognition. - Jiequan Cui; Shu Liu 005; Zhuotao Tian; Zhisheng Zhong; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DSGN++: Exploiting Visual-Spatial Relation for Stereo-Based 3D Detectors. - Yilun Chen; Shijia Huang; Shu Liu 005; Bei Yu 001; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

LISA: Reasoning Segmentation via Large Language Model. - Xin Lai; Zhuotao Tian; Yukang Chen; Yanwei Li; Yuhui Yuan; Shu Liu 005; Jiaya Jia (CVPR, 2024)

Prompt Highlighter: Interactive Control for Multi-Modal LLMs. - Yuechen Zhang; Shengju Qian; Bohao Peng; Shu Liu 005; Jiaya Jia (CVPR, 2024)

MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders. - Baijiong Lin; Weisen Jiang; Pengguang Chen; Yu Zhang 006; Shu Liu 005; Ying-Cong Chen (ECCV (70), 2024)

Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics. - Shuai Yang; Zhifei Chen; Pengguang Chen; Xi Fang; Yixun Liang; Shu Liu 005; Yingcong Chen (ECCV (7), 2024)

Scalable Language Model with Generalized Continual Learning. - Bohao Peng; Zhuotao Tian; Shu Liu 005; Ming-Chang Yang; Jiaya Jia (ICLR, 2024)

Denoising Diffusion Step-aware Models. - Shuai Yang; Yukang Chen; Luozhou Wang; Shu Liu 005; Ying-Cong Chen (ICLR, 2024)

RL-GPT: Integrating Reinforcement Learning and Code-as-policy. - Shaoteng Liu; Haoqi Yuan; Minda Hu; Yanwei Li; Yukang Chen; Shu Liu 005; Zongqing Lu 002; Jiaya Jia (NeurIPS, 2024)

Scalable Language Model with Generalized Continual Learning. - Bohao Peng; Zhuotao Tian; Shu Liu 005; Ming-Hsuan Yang 001; Jiaya Jia (CoRR, 2024)

MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders. - Baijiong Lin; Weisen Jiang; Pengguang Chen; Shu Liu 005; Ying-Cong Chen (CoRR, 2024)

Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition. - Zhisheng Zhong; Chengyao Wang; Yuqi Liu 003; Senqiao Yang; Longxiang Tang; Yuechen Zhang; Jingyao Li; Tianyuan Qu; Yanwei Li; Yukang Chen; Shaozuo Yu; Sitong Wu; et al. (CoRR, 2024)

BAL: Balancing Diversity and Novelty for Active Learning. - Jingyao Li; Pengguang Chen; Shaozuo Yu; Shu Liu 005; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Generalized Parametric Contrastive Learning. - Jiequan Cui; Zhisheng Zhong; Zhuotao Tian; Shu Liu 005; Bei Yu 001; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

TagCLIP: Improving Discrimination Ability of Zero-Shot Semantic Segmentation. - Jingyao Li; Pengguang Chen; Shengju Qian; Shu Liu 005; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MOODv2: Masked Image Modeling for Out-of-Distribution Detection. - Jingyao Li; Pengguang Chen; Shaozuo Yu; Shu Liu 005; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation. - Zhongshen Zeng; Pengguang Chen; Shu Liu 005; Haiyun Jiang; Jiaya Jia (ICLR, 2025)

STEVE: A Step Verification Pipeline for Computer-use Agent Training. - Fanbin Lu; Zhisheng Zhong; Ziqin Wei; Shu Liu 005; Chi-Wing Fu; Jiaya Jia (CoRR, 2025)

VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning. - Yuqi Liu 003; Tianyuan Qu; Zhisheng Zhong; Bohao Peng; Shu Liu 005; Bei Yu 001; Jiaya Jia (CoRR, 2025)

ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay. - Fanbin Lu; Zhisheng Zhong; Shu Liu 005; Chi-Wing Fu; Jiaya Jia (CoRR, 2025)