Depth enhancement based on hybrid geometric hole filling strategy. - Lu Sheng; King Ngi Ngan (ICIP, 2013)

A Head Pose Tracking System Using RGB-D Camera. - Songnan Li; King Ngi Ngan; Lu Sheng (ICVS, 2013)

Accelerating the Distribution Estimation for the Weighted Median/Mode Filters. - Lu Sheng; King Ngi Ngan; Tak-Wai Hui (ACCV (4), 2014)

Screen-camera calibration using a thread. - Songnan Li; King Ngi Ngan; Lu Sheng (ICIP, 2014)

Temporal depth video enhancement based on intrinsic static structure. - Lu Sheng; King Ngi Ngan; Songnan Li (ICIP, 2014)

A disocclusion filling method using multiple sprites with depth for virtual view synthesis. - Chi Ho Cheung; Lu Sheng; King Ngi Ngan (ICME Workshops, 2015)

Online Temporally Consistent Indoor Depth Video Enhancement via Static Structure. - Lu Sheng; King Ngi Ngan; Chern-Loon Lim; Songnan Li (IEEE Trans. Image Process., 2015)

Real-Time Head Pose Tracking with Online Face Template Reconstruction. - Songnan Li; King Ngi Ngan; Raveendran Paramesran; Lu Sheng (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

A Generative Model for Depth-Based Robust 3D Facial Pose Tracking. - Lu Sheng; Jianfei Cai 001; Tat-Jen Cham; Vladimir Pavlovic 001; King Ngi Ngan (CVPR, 2017)

HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis. - Xihui Liu; Haiyu Zhao; Maoqing Tian; Lu Sheng; Jing Shao; Shuai Yi; Junjie Yan; Xiaogang Wang 001 (ICCV, 2017)

Exploring Disentangled Feature Representation Beyond Face Identification. - Yu Liu 015; Fangyin Wei; Jing Shao; Lu Sheng; Junjie Yan; Xiaogang Wang 001 (CVPR, 2018)

Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration. - Lu Sheng; Ziyi Lin; Jing Shao; Xiaogang Wang 001 (CVPR, 2018)

Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition. - Shuyang Sun; Zhanghui Kuang; Lu Sheng; Wanli Ouyang; Wei Zhang 010 (CVPR, 2018)

Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition. - Guojun Yin; Lu Sheng; Bin Liu 016; Nenghai Yu; Xiaogang Wang 001; Jing Shao; Chen Change Loy (ECCV (3), 2018)

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection. - Yongcheng Liu; Lu Sheng; Jing Shao; Junjie Yan; Shiming Xiang; Chunhong Pan (ACM Multimedia, 2018)

Spatio-Temporal Disocclusion Filling Using Novel Sprite Cells. - Chi Ho Cheung; King Ngi Ngan; Lu Sheng (IEEE Trans. Multim., 2018)

GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving. - Buyu Li; Wanli Ouyang; Lu Sheng; Xingyu Zeng; Xiaogang Wang 001 (CVPR, 2019)

Video Generation From Single Semantic Label Map. - Junting Pan; Chengyu Wang 003; Xu Jia 012; Jing Shao; Lu Sheng; Junjie Yan; Xiaogang Wang 001 (CVPR, 2019)

Semantics Disentangling for Text-To-Image Generation. - Guojun Yin; Bin Liu 016; Lu Sheng; Nenghai Yu; Xiaogang Wang 001; Jing Shao (CVPR, 2019)

Context and Attribute Grounded Dense Captioning. - Guojun Yin; Lu Sheng; Bin Liu 016; Nenghai Yu; Xiaogang Wang 001; Jing Shao (CVPR, 2019)

Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM. - Lu Sheng; Dan Xu 002; Wanli Ouyang; Xiaogang Wang 001 (ICCV, 2019)

Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization. - Chufeng Tang; Lu Sheng; Zhaoxiang Zhang 001; Xiaolin Hu 001 (ICCV, 2019)

CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval. - Zihao Wang; Xihui Liu; Hongsheng Li 001; Lu Sheng; Junjie Yan; Xiaogang Wang 001; Jing Shao (ICCV, 2019)

Unsupervised Bi-directional Flow-based Video Generation from one Snapshot. - Lu Sheng; Junting Pan; Jiaming Guo; Jing Shao; Xiaogang Wang 001; Chen Change Loy (CoRR, 2019)

Visibility Constrained Generative Model for Depth-Based 3D Facial Pose Tracking. - Lu Sheng; Jianfei Cai 001; Tat-Jen Cham; Vladimir Pavlovic 001; King Ngi Ngan (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Cascaded regression using landmark displacement for 3D face reconstruction. - Fanzi Wu; Songnan Li; Tianhao Zhao; King Ngi Ngan; Lu Sheng (Pattern Recognit. Lett., 2019)

Bags of tricks for learning depth and camera motion from monocular videos. - Bowen Dong; Lu Sheng (Virtual Real. Intell. Hardw., 2019)

Morphing and Sampling Network for Dense Point Cloud Completion. - Minghua Liu; Lu Sheng; Sheng Yang 007; Jing Shao; Shi-Min Hu 001 (AAAI, 2020)

Powering One-Shot Topological NAS with Stabilized Share-Parameter Proxy. - Ronghao Guo; Chen Lin 003; Chuming Li; Keyu Tian; Ming Sun 008; Lu Sheng; Junjie Yan (ECCV (14), 2020)

Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues. - Yuyang Qian 001; Guojun Yin; Lu Sheng; Zixuan Chen; Jing Shao (ECCV (12), 2020)

Unsupervised Domain Expansion from Multiple Sources. - Jing Zhang 017; Wanqing Li 001; Lu Sheng; Chang Tang; Philip Ogunbona (CoRR, 2020)

Adaptive Gradient Method with Resilience and Momentum. - Jie Liu 047; Chen Lin 003; Chuming Li; Lu Sheng; Ming Sun 008; Junjie Yan; Wanli Ouyang (CoRR, 2020)

PV-NAS: Practical Neural Architecture Search for Video Recognition. - Zihao Wang; Chen Lin 003; Lu Sheng; Junjie Yan; Jing Shao (CoRR, 2020)

High-Quality Video Generation from Static Structural Annotations. - Lu Sheng; Junting Pan; Jiaming Guo; Jing Shao; Chen Change Loy (Int. J. Comput. Vis., 2020)

Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds. - Bowen Cheng; Lu Sheng; Shaoshuai Shi; Ming Yang; Dong Xu 001 (CVPR, 2021)

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis. - Yinan He; Bei Gan; Siyu Chen; Yichun Zhou; Guojun Yin; Luchuan Song; Lu Sheng; Jing Shao; Ziwei Liu 002 (CVPR, 2021)

StyleFormer: Real-time Arbitrary Style Transfer via Parametric Style Composition. - Xiaolei Wu; Zhihao Hu; Lu Sheng; Dong Xu 001 (ICCV, 2021)

3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds. - Lichen Zhao; Daigang Cai; Lu Sheng; Dong Xu 001 (ICCV, 2021)

VoteHMR: Occlusion-Aware Voting Network for Robust 3D Human Mesh Recovery from Partial Point Clouds. - Guanze Liu; Yu Rong 003; Lu Sheng (ACM Multimedia, 2021)

IncreACO: Incrementally Learned Automatic Check-out with Photorealistic Exemplar Augmentation. - Yandan Yang; Lu Sheng; Xiaolong Jiang; Haochen Wang; Dong Xu 001; Xianbin Cao 001 (WACV, 2021)

DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer. - Buyu Li; Yongchi Zhao; Lu Sheng (CoRR, 2021)

ForgeryNet - Face Forgery Analysis Challenge 2021: Methods and Results. - Yinan He; Lu Sheng; Jing Shao; Ziwei Liu 002; Zhaofan Zou; Zhizhi Guo; Shan Jiang; Curitis Sun; Guosheng Zhang; Keyao Wang; Haixiao Yue; Zhibin Hong; et al. (CoRR, 2021)

Sequential Point Cloud Upsampling by Exploiting Multi-Scale Temporal Dependency. - Kaisiyuan Wang; Lu Sheng; Shuhang Gu; Dong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Transformer3D-Det: Improving 3D Object Detection by Vote Refinement. - Lichen Zhao; Jinyang Guo; Dong Xu 001; Lu Sheng (IEEE Trans. Circuits Syst. Video Technol., 2021)

PCG-TAL: Progressive Cross-Granularity Cooperation for Temporal Action Localization. - Rui Su; Dong Xu 001; Lu Sheng; Wanli Ouyang (IEEE Trans. Image Process., 2021)

Motion Compensated Virtual View Synthesis Using Novel Particle Cell. - Chi Ho Cheung; Lu Sheng; King Ngi Ngan (IEEE Trans. Multim., 2021)

DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer. - Buyu Li; Yongchi Zhao; Zhelun Shi; Lu Sheng (AAAI, 2022)

3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds. - Daigang Cai; Lichen Zhao; Jing Zhang 017; Lu Sheng; Dong Xu 001 (CVPR, 2022)

SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling. - Chenjian Gao; Qian Yu; Lu Sheng; Yi-Zhe Song; Dong Xu 001 (ECCV (1), 2022)

X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation. - Yinan He; Gengshi Huang; Siyu Chen; Jianing Teng; Kun Wang; Zhenfei Yin; Lu Sheng; Ziwei Liu 002; Yu Qiao 001; Jing Shao (ECCV (26), 2022)

Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation. - Ziming Wang; Xiaoliang Huo; Zhenghao Chen; Jing Zhang 017; Lu Sheng; Dong Xu 001 (ECCV (32), 2022)

Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline. - Lichen Zhao; Daigang Cai; Jing Zhang 017; Lu Sheng; Dong Xu 001; Rui Zheng; Yinjie Zhao; Lipeng Wang; Xibo Fan (CoRR, 2022)

VPU: A Video-Based Point Cloud Upsampling Framework. - Kaisiyuan Wang; Lu Sheng; Shuhang Gu; Dong Xu 001 (IEEE Trans. Image Process., 2022)

Siamese DETR. - Zeren Chen; Gengshi Huang; Wei Li 190; Jianing Teng; Kun Wang; Jing Shao; Chen Change Loy; Lu Sheng (CVPR, 2023)

VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud. - Ziqin Wang; Bowen Cheng; Lichen Zhao; Dong Xu 001; Yang Tang; Lu Sheng (CVPR, 2023)

Distortion-aware Transformer in 360° Salient Object Detection. - Yinjie Zhao; Lichen Zhao; Qian Yu; Lu Sheng; Jing Zhang 017; Dong Xu 001 (ACM Multimedia, 2023)

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark. - Zhenfei Yin; Jiong Wang; Jianjian Cao; Zhelun Shi; Dingning Liu; Mukai Li; Xiaoshui Huang; Zhiyong Wang 001; Lu Sheng; Lei Bai 001; Jing Shao; Wanli Ouyang (NeurIPS, 2023)

Stable Diffusion Reference Only: Image Prompt and Blueprint Jointly Guided Multi-Condition Diffusion Model for Secondary Painting. - Hao Ai; Lu Sheng (CoRR, 2023)

Octavius: Mitigating Task Interference in MLLMs via MoE. - Zeren Chen; Ziqin Wang; Zhen Wang 003; Huayang Liu; Zhenfei Yin; Si Liu 001; Lu Sheng; Wanli Ouyang; Yu Qiao 001; Jing Shao (CoRR, 2023)

ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models. - Zhelun Shi; Zhipin Wang; Hongxing Fan; Zhenfei Yin; Lu Sheng; Yu Qiao 001; Jing Shao (CoRR, 2023)

Guest Editorial: Special Issue on Machine Learning and Signal Processing. - Qian Yu; Liang Zheng 001; Lu Sheng; Dong Xu 001 (J. Signal Process. Syst., 2023)

Toward Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline. - Lichen Zhao; Daigang Cai; Jing Zhang 017; Lu Sheng; Dong Xu 001; Rui Zheng; Yinjie Zhao; Lipeng Wang; Xibo Fan (IEEE Trans. Circuits Syst. Video Technol., 2023)

Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation. - Xiawei Li; Qingyuan Xu; Jing Zhang 017; Tianyi Zhang; Qian Yu; Lu Sheng; Dong Xu 001 (AAAI, 2024)

Data-Free Generalized Zero-Shot Learning. - Bowen Tang; Jing Zhang 017; Long Yan; Qian Yu; Lu Sheng; Dong Xu 001 (AAAI, 2024)

EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion. - Zehuan Huang; Hao Wen; Junting Dong; Yaohui Wang 001; Yangguang Li 001; Xinyuan Chen; Yan-Pei Cao; Ding Liang; Yu Qiao 001; Bo Dai 002; Lu Sheng (CVPR, 2024)

MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception. - Yiran Qin; Enshen Zhou; Qichang Liu; Zhenfei Yin; Lu Sheng; Ruimao Zhang; Yu Qiao 001; Jing Shao (CVPR, 2024)

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE. - Zeren Chen; Ziqin Wang; Zhen Wang 003; Huayang Liu; Zhenfei Yin; Si Liu 001; Lu Sheng; Wanli Ouyang; Jing Shao (ICLR, 2024)

Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation. - Haolin Yang; Chaoqiang Zhao; Lu Sheng; Yang Tang (IJCAI, 2024)

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. - Chaochao Lu; Chen Qian 006; Guodong Zheng; Hongxing Fan; Hongzhi Gao; Jie Zhang 074; Jing Shao; Jingyi Deng; Jinlan Fu; Kexin Huang; Kunchang Li 002; Lijun Li; et al. (CoRR, 2024)

MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control. - Enshen Zhou; Yiran Qin; Zhenfei Yin; Yuzhou Huang; Ruimao Zhang; Lu Sheng; Yu Qiao 001; Jing Shao (CoRR, 2024)

Assessment of Multimodal Large Language Models in Alignment with Human Values. - Zhelun Shi; Zhipin Wang; Hongxing Fan; Zaibin Zhang; Lijun Li; Yongting Zhang; Zhenfei Yin; Lu Sheng; Yu Qiao 001; Jing Shao (CoRR, 2024)

RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents. - Zeren Chen; Zhelun Shi; Xiaoya Lu; Lehan He; Sucheng Qian; Haoshu Fang; Zhenfei Yin; Wanli Ouyang; Jing Shao; Yu Qiao 001; Cewu Lu; Lu Sheng (CoRR, 2024)

From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation. - Zehuan Huang; Hongxing Fan; Lipeng Wang; Lu Sheng (CoRR, 2024)

Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion. - Hao Wen; Zehuan Huang; Yaohui Wang 001; Xinyuan Chen; Yu Qiao 001; Lu Sheng (CoRR, 2024)

WorldSimBench: Towards Video Generation Models as World Simulators. - Yiran Qin; Zhelun Shi; Jiwen Yu; Xijun Wang; Enshen Zhou; Lijun Li; Zhenfei Yin; Xihui Liu; Lu Sheng; Jing Shao; Lei Bai 001; Wanli Ouyang; et al. (CoRR, 2024)

A Topic-level Self-Correctional Approach to Mitigate Hallucinations in MLLMs. - Lehan He; Zeren Chen; Zhelun Shi; Tianyu Yu; Jing Shao; Lu Sheng (CoRR, 2024)

MV-Adapter: Multi-view Consistent Image Generation Made Easy. - Zehuan Huang; Yuan-Chen Guo; Haoran Wang; Ran Yi; Lizhuang Ma; Yan-Pei Cao; Lu Sheng (CoRR, 2024)

3D Reconstruction From a Single Sketch via View-Dependent Depth Sampling. - Chenjian Gao; Xilin Wang; Qian Yu; Lu Sheng; Jing Zhang 017; Xiaoguang Han 001; Yi-Zhe Song; Dong Xu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline. - Yangguang Li 001; Bin Huang; Zeren Chen; Yufeng Cui; Feng Liang; Mingzhu Shen; Fenggang Liu; Enze Xie; Lu Sheng; Wanli Ouyang; Jing Shao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generation. - Zehuan Huang; Yuan-Chen Guo; Xingqiao An; Yunhan Yang; Yangguang Li 001; Zi-Xin Zou; Ding Liang; Xihui Liu; Yan-Pei Cao; Lu Sheng (CVPR, 2025)

T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation. - Lijun Li; Zhelun Shi; Xuhao Hu; Bowen Dong; Yiran Qin; Xihui Liu; Lu Sheng; Jing Shao (CVPR, 2025)

Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion. - Hao Wen; Zehuan Huang; Yaohui Wang 001; Xinyuan Chen; Lu Sheng (CVPR, 2025)

Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection. - Enshen Zhou; Qi Su; Cheng Chi; Zhizheng Zhang 011; Zhongyuan Wang 006; Tiejun Huang 001; Lu Sheng; He Wang 010 (CVPR, 2025)

Parts2Whole: Generalizable Multi-Part Portrait Customization. - Hongxing Fan; Zehuan Huang; Lipeng Wang; Haohua Chen; Li Yin; Lu Sheng (IEEE Trans. Image Process., 2025)

Diffusion Model is Secretly a Training-Free Open Vocabulary Semantic Segmenter. - Jinglong Wang; Xiawei Li; Jing Zhang 017; Qingyuan Xu; Qin Zhou 003; Qian Yu; Lu Sheng; Dong Xu 001 (IEEE Trans. Image Process., 2025)

HexPlane Representation for 3D Semantic Scene Understanding. - Zeren Chen; Yuenan Hou; Yulin Chen; Li Liu; Xiao Sun; Lu Sheng (CoRR, 2025)

Personalize Anything for Free with Diffusion Transformer. - Haoran Feng; Zehuan Huang; Lin Li; Hairong Lv; Lu Sheng (CoRR, 2025)

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models. - Luolin Xiong; Haofen Wang; Xi Chen 072; Lu Sheng; Yun Xiong; Jingping Liu; Yanghua Xiao; Huajun Chen; Qing-Long Han; Yang Tang (IEEE CAA J. Autom. Sinica, 2025)

RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics. - Enshen Zhou; Jingkun An; Cheng Chi; Yi Han; Shanyu Rong; Chi Zhang; Pengwei Wang 004; Zhongyuan Wang 006; Tie-Jun Huang 001; Lu Sheng; Shanghang Zhang (CoRR, 2025)

ELBO-T2IAlign: A Generic ELBO-Based Method for Calibrating Pixel-level Text-Image Alignment in Diffusion Models. - Qin Zhou 003; Zhiyang Zhang; Jinglong Wang; Xiaobin Li; Jing Zhang 017; Qian Yu; Lu Sheng; Dong Xu 001 (CoRR, 2025)

IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks. - Xiaoya Lu; Zeren Chen; Xuhao Hu; Yijin Zhou; Weichen Zhang; Dongrui Liu; Lu Sheng; Jing Shao (CoRR, 2025)

Use Property-Based Testing to Bridge LLM Code Generation and Validation. - Lehan He; Zeren Chen; Zhe Zhang; Jing Shao; Xiang Gao; Lu Sheng (CoRR, 2025)

AnimaX: Animating the Inanimate in 3D with Joint Video-Pose Diffusion Models. - Zehuan Huang; Haoran Feng; Yang-Tian Sun; Yuanchen Guo; Yan-Pei Cao; Lu Sheng (CoRR, 2025)

Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy. - Yuanhan Zhang; Qinghong Sun; Yichun Zhou; Zexin He; Zhenfei Yin; Kun Wang; Lu Sheng; Yu Qiao 001; Jing Shao; Ziwei Liu 002 (Int. J. Comput. Vis., 2025)

Boundary-Based Active Domain Adaptation for Semantic Segmentation Under Adverse Conditions. - Xianzhe Xu; Gary G. Yen; Chaoqiang Zhao; Qiyu Sun; Wenqi Ren; Lu Sheng; Yang Tang (IEEE Trans. Neural Networks Learn. Syst., 2025)