Publications — Xiaogang Xu

Publications [Google Scholar]

Selective Publications

AIGC, World Models

SpeedVFI: One-step Diffusion for Efficient Video Frame Interpolation
Ganggui Ding*, Xiaogang Xu*, Hao Chen, Chunhua Shen.
ICML, 2026.

[Paper] [Code]

GDRO: Group-level Reward Post-training Suitable for Diffusion Models
Yiyang Wang, Xi Chen, Xiaogang Xu, Yu Liu, Hengshuang Zhao.
CVPR, 2026.

[Paper] [Code]

Learning Latent Proxies for Controllable Single-Image Relighting
Haoze Zheng, Zihao Wang, Xianfeng Wu, Yajing Bai, Yexin Liu, Yun LI, Xiaogang Xu#, Harry Yang.
CVPR, 2026.

[Paper] [Code]

LoViC: Efficient Long Video Generation with Context Compression
Jiaxiu Jiang, Wenbo Li, Jingjing Ren, Yuping Qiu, Yong Guo, Xiaogang Xu, Han Wu, Wangmeng Zuo.
CVPR finding, 2026.

[Paper] [Code]

Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance
Ruihang Chu, Yefei He, Zhekai Chen, Shiwei Zhang, Xiaogang Xu, Bin Xia, Dingdong WANG, Hongwei Yi, Xihui Liu, Hengshuang Zhao, Yu Liu, Yingya Zhang, Yujiu Yang.
NeurIPS, 2025.

[Paper] [Code]

DiffDoctor: Diagnosing Image Diffusion Models Before Treating
Yiyang Wang, Xi Chen, Xiaogang Xu#, Sihui Ji, Yu Liu, Yujun Shen, Hengshuang Zhao.
ICCV, 2025.

[Paper] [Code]

LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
Yixun Liang, Xin Yang, Jiantao Lin, Haodong Li, Xiaogang Xu, Yingcong Chen.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, (Highlight, acceptance rate 2.8% (324/11532)).

[Paper] [Code]

Conditional Temporal Variational AutoEncoder for Action Video Prediction
Xiaogang Xu, Yi Wang, Liwei Wang, Bei Yu, Jiaya Jia.
International Journal of Computer Vision (IJCV), 2023.

[Paper] [Code]

Hierarchical Image Generation via Transformer-Based Sequential Patch Selection
Xiaogang Xu, Ning Xu.
AAAI Conference on Artificial Intelligence (AAAI), 2022 (acceptance rate 15.0% (1349/9020)).

[Paper] [Code]

Text-Guided Human Image Manipulation via Image-Text Shared Space
Xiaogang Xu, Yingcong Chen, Jiaya Jia.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.

[Paper] [Code]

Large Model, Agent, and Safety Alignment

Multi-Agent Tool-Integrated Policy Optimization with Process Reward
Zhanfeng Mo*, Xiaogang Xu*, Xingxuan Li*, Lidong Bing.
Github, 2026.

[Paper] [Code]

MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
MiroMind Team.
Arxiv, 2026.

[Paper] [Code]

LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization
Jiaqi Tang, Yu Xia, Yi-Feng Wu, Yuwei Hu, Yuhui Chen, Qing-Guo Chen, Xiaogang Xu#, Xiangyu Wu, Hao Lu, Yanqing Ma, Shiyin Lu, Qifeng Chen.
ACL, 2026.

[Paper] [Code]

ACIArena: Toward Unified Evaluation for Agent Cascading Injection
Hengyu An, Minxi Li, Jinghuai Zhang, Naen Xu, Chunyi Zhou, Changjiang Li, Xiaogang Xu, Tianyu Du, Shouling Ji.
ACL, 2026.

[Paper] [Code]

PerMemSafe: Benchmarking Implicit Personalized Safety of Long Horizon Self-Evolving Agents
Hengyu An, Minxi Li, Naen Xu, Chunyi Zhou, Xiaogang Xu, Tianyu Du, Jinbao Li, Shouling Ji.
ACL, 2026.

[Paper] [Code]

Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs
Yiran Zhao, Lu Zhou, Xiaogang Xu#, Liming Fang, Zhe Liu, Jiafei Wu.
ICLR, 2026.

[Paper] [Code]

Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding
Jiaqi Tang, Jianmin Chen, Wei Wei, Xiaogang Xu, Runtao Liu, Xiangyu Wu, Qipeng Xie, Jiafei Wu Wu, Lei Zhang, Qifeng Chen.
AAAI, 2026.

[Paper] [Code]

MiCo: Multi-image Contrast for Reinforcement Visual Reasoning
Xi Chen, Mingkang Zhu, Shaoteng Liu, Xiaoyang Wu, Xiaogang Xu, Yu Liu, Xiang Bai, Hengshuang Zhao.
NeurIPS, 2025.

[Paper] [Code]

LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
Zhuoling Li, Xiaogang Xu, Zhenhua Xu, SerNam Lim, Hengshuang Zhao.
ICML, 2025.

[Paper] [Code]

Hawk: Learning to Understand Open-World Video Anomalies
Jiaqi Tang, Hao Lu, Ruizheng Wu, Xiaogang Xu, Ke Ma, Cheng Fang, Bin Guo, Jiangbo Lu, Qifeng Chen, Ying-Cong Chen.
Conference on Neural Information Processing Systems (NeurIPS), 2024, (acceptance rate 25.8%).

[Paper] [Code]

Low-Light Image Enhancement: Plug-and-Play Improvement

Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge
Xiaogang Xu, Jiafei Wu, Qingsen Yan, Jiequan Cui, Richang Hong, Bei Yu.
ICCV, 2025.

[Paper] [Code]

Boosting Image Restoration via Priors from Pre-trained Models
Xiaogang Xu, Shu Kong, Tao Hu, Zhe Liu, Hujun Bao.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, (acceptance rate 23.6% (2719/11532)).

[Paper] [Code]

Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance
Yingqi Lin*, Xiaogang Xu*#, Jiafei Wu, Yan Han, Zhe Liu.
IEEE Transactions on Image Processing (TIP), 2025.

[Paper] [Code]

Low-Light Image Enhancement: Foundation Module

SNR-Aware Low-light Image Enhancement
Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (acceptance rate 25.3% (2067/8161)).

[Paper] [Code]

Low‑light Image Enhancement via Structure Modeling and Guidance
Xiaogang Xu, Ruixing Wang, Jiangbo Lv.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (acceptance rate 25.8% (2340/9155)).

[Paper] [Code]

Low-Light Video Enhancement

Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition
Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu.
IJCAI, 2025.

[Paper] [Code]

Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution
Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, Jiaya Jia.
AAAI Conference on Artificial Intelligence (AAAI), 2023 Oral (acceptance rate 19.6% (1721/8777)).

[Paper] [Code]

Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset with Mechatronic Alignment
Ruixing Wang*, Xiaogang Xu*, Chi-Wing Fu, Jiangbo Lu, Bei Yu, Jiaya Jia.
IEEE International Conference on Computer Vision (ICCV), 2021 (acceptance rate 26.2% (1612/6152)).

[Paper] [Code]

Depth Anything Foundation Models

Depth Anything V2
Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao.
Conference on Neural Information Processing Systems (NeurIPS), 2024, (acceptance rate 25.8%).

[Paper] [Code]

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, (acceptance rate 23.6% (2719/11532), also accepted by CVPR 2024 Demo Track).

[Paper] [Code]

3D Reconstruction

TriVol: Point Cloud Rendering Via Triple Volumes
Tao Hu*, Xiaogang Xu*, Ruihang Chu, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (acceptance rate 25.8% (2340/9155)).

[Paper] [Code]

Point2Pix: Photo‑Realistic Point Cloud Rendering via Neural Radiance Fields
Tao Hu, Xiaogang Xu#, Shu Liu, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (acceptance rate 25.8% (2340/9155)).

[Paper] [Code]

Classification, Segmentation, and Detection

Universal Adaptive Data Augmentation
Xiaogang Xu, Hengshuang Zhao.
International Joint Conferences on Artificial Intelligence (IJCAI), 2023 (acceptance rate 15.0% (685/4566)).

[Paper] [Code]

MTFormer: Multi-Task Learning via Transformer and Cross-Task Reasoning
Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba.
European Conference on Computer Vision (ECCV), 2022 (acceptance rate 19.9% (1629/8170)).

[Paper] [Code]

Dynamic divide-and-conquer adversarial training for robust semantic segmentation
Xiaogang Xu, Hengshuang Zhao, Jiaya Jia.
IEEE International Conference on Computer Vision (ICCV), 2021 (acceptance rate 26.2% (1612/6152)).

[Paper] [Code]

Full Publications

Publications in 2026

HoloFair: Unified T2I Fairness Evaluation and Fair-GRPO Debiasing
Ruyi Chen, Xiaogang Xu#, Chiyu Zhang, Jiafei Wu, Liming Fang, Lu Zhou.
ICML, 2026.

[Paper] [Code]

SpeedVFI: One-step Diffusion for Efficient Video Frame Interpolation
Ganggui Ding*, Xiaogang Xu*, Hao Chen, Chunhua Shen.
ICML, 2026.

[Paper] [Code]

Remember-R1: Mitigating Long-Context Visual Forgetting through Reinforcement Learning
Jianmin Chen, Jiaqi Tang, Wei Wei, Xiaogang Xu, Jiafei Wu, Zhe Liu, Qianzhou Wang, Yingying Yan, Botong Geng, Yuyang Xia, Lei Zhang, Qifeng Chen.
ACMMM, 2026.

[Paper] [Code]

Deconstructing Supervision: Rethinking Learning Signals in Class Incremental Medical Image Segmentation
Shengqian Zhu, Xiaogang Xu, Wenbo Qi, Chengrong Yu, Qiang Wang, Jun Wu, Jiafei Wu, Zhang Yi, Junjie Hu.
ACMMM, 2026.

[Paper] [Code]

Hybrid Event–Frame Sensors: Modeling, Calibration, and Simulation
Yunfan Lu, Nico Messikommer, Xiaogang Xu, Liming Chen, Yuhan Chen, Nikola Zubic, Davide Scaramuzza, Hui Xiong.
ECCV, 2026.

[Paper] [Code]

ACIArena: Toward Unified Evaluation for Agent Cascading Injection
Hengyu An, Minxi Li, Jinghuai Zhang, Naen Xu, Chunyi Zhou, Changjiang Li, Xiaogang Xu, Tianyu Du, Shouling Ji.
ACL, 2026.

[Paper] [Code]

PerMemSafe: Benchmarking Implicit Personalized Safety of Long Horizon Self-Evolving Agents
Hengyu An, Minxi Li, Naen Xu, Chunyi Zhou, Xiaogang Xu, Tianyu Du, Jinbao Li, Shouling Ji.
ACL, 2026.

[Paper] [Code]

[Paper] [Code]

Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features
Lichuan Ji, Yingqi Lin, Zhenhua Huang, Yan Han, Xiaogang Xu#, Jiafei Wu, Chong Wang, Zhe Liu.
CVPR Workshop, 2026.

[Paper] [Code]

IAMAgent: Towards An Interactive and Adaptive Multi-Agent System for Image Restoration
Yanyan Wei, Yilin Zhang, Huan Zheng, Jiahuan Ren, Xiaogang Xu, Zenglin Shi, Zhao Zhang, Meng Wang.
TIP, 2026.

[Paper] [Code]

GDRO: Group-level Reward Post-training Suitable for Diffusion Models
Yiyang Wang, Xi Chen, Xiaogang Xu, Yu Liu, Hengshuang Zhao.
CVPR, 2026.

[Paper] [Code]

Learning Latent Proxies for Controllable Single-Image Relighting
Haoze Zheng, Zihao Wang, Xianfeng Wu, Yajing Bai, Yexin Liu, Yun LI, Xiaogang Xu#, Harry Yang.
CVPR, 2026.

[Paper] [Code]

LoViC: Efficient Long Video Generation with Context Compression
Jiaxiu Jiang, Wenbo Li, Jingjing Ren, Yuping Qiu, Yong Guo, Xiaogang Xu, Han Wu, Wangmeng Zuo.
CVPR finding, 2026.

[Paper] [Code]

Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs
Yiran Zhao, Lu Zhou, Xiaogang Xu#, Liming Fang, Zhe Liu, Jiafei Wu.
ICLR, 2026.

[Paper] [Code]

FedGraph: Defending Federated Large Language Model Fine-Tuning Against Backdoor Attacks via Graph-Based Aggregation
Xi Chen, Chunyi Zhou, Rui Zeng, Xiaogang Xu, Zhe Liu, Shouling Ji.
ICLR, 2026.

[Paper] [Code]

GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided Adversarial Data Transformation
Yating Ma, Xiaogang Xu#, Liming Fang, Jiafei Wu, Lu Zhou.
Neurocomputing, 2026.

[Paper] [Code]

FC-VFI: Faithful and Consistent Video Frame Interpolation for High-FPS Slow Motion Video Generation
Ganggui Ding, Hao Chen, Xiaogang Xu#.
ICASSP, 2026.

[Paper] [Code]

Boosting HDR Image Reconstruction via Semantic Knowledge Transfer
Tao Hu, Longyao Wu, Wei Dong, Peng Wu, Jinqiu Sun, Xiaogang Xu, Qingsen Yan, Yanning Zhang.
TIP, 2026.

[Paper] [Code]

Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
Shengqian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guangjun Li, Jiafei Wu, Xiaogang Xu#, Yi Zhang, Junjie Hu.
AAAI, 2026.

[Paper] [Code]

[Paper] [Code]

Restoration-Oriented Video Frame Interpolation with Region-Distinguishable Priors from SAM
Yan Han, Xiaogang Xu#, Yingqi Lin, Jiafei Wu, Zhe Liu, Ming-Hsuan Yang.
TCSVT, 2026.

[Paper] [Code]

Publications in 2025

SEE: See Everything Every Time--Adaptive Brightness Adjustment for Broad Light Range Images via Events
Yunfan Lu, Xiaogang Xu, Hao Lu, Yanlin Qian, Pengteng Li, Huizai Yao, Bin Yang, Junyi Li, Qianyi Cai, Weiyu Guo, Hui Xiong.
IJCV, 2025.

[Paper] [Code]

[Paper] [Code]

MiCo: Multi-image Contrast for Reinforcement Visual Reasoning
Xi Chen, Mingkang Zhu, Shaoteng Liu, Xiaoyang Wu, Xiaogang Xu, Yu Liu, Xiang Bai, Hengshuang Zhao.
NeurIPS, 2025.

[Paper] [Code]

DiffCamera: Arbitrary Refocusing on Images
Yiyang Wang, Xi Chen, Xiaogang Xu, Yu Liu, Hengshuang Zhao.
SIGGRAPH ASIA, 2025.

[Paper] [Code]

PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation
Shengqian Zhu, Chengrong Yu, Wenbo Qi, Jiafei Wu, Ying Song, Guangjun Li, Yi Zhang, Xiaogang Xu#, Junjie Hu.
ACM MM, 2025.

[Paper] [Code]

PVDD: A Practical Benchmark Dataset and Network for Video Denoising
Xiaogang Xu, Yitong Yu, Nianjuan Jiang, Jiangbo Lu, Bei Yu, Jiaya Jia.
Frontiers of Computer Science, 2025.

[Paper] [Code and Dataset (has released!)]

Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance
Yingqi Lin*, Xiaogang Xu*#, Jiafei Wu, Yan Han, Zhe Liu.
IEEE Transactions on Image Processing (TIP), 2025.

[Paper] [Code]

Boosting Diffusion-Based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios
Chenglu Pan, Xiaogang Xu#, Ganggui Ding, Yunke Zhang, Wenbo Li, Jiarong Xu, Qingbiao Wu.
ICCV Workshop, 2025.

[Paper] [Code]

Diffusion Noise Feature: Accurate and Fast Generated Image Detection
Yichi Zhang, Xiaogang Xu#.
ECAI, 2025.

[Paper] [Code]

CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models
Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu#, Jiafei Wu, Puning Zhao, Zhe Liu.
ECAI, 2025.

[Paper] [Code]

Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge
Xiaogang Xu, Jiafei Wu, Qingsen Yan, Jiequan Cui, Richang Hong, Bei Yu.
ICCV, 2025.

[Paper] [Code]

Co-Painter: Fine-Grained Controllable Image Stylization via Implicit Decoupling and Adaptive Injection
Bowen Fu, Wei Wei, Jiaqi Tang, Jiangtao Nie, Yanyu Ye, Xiaogang Xu, Ying-cong Chen, Lei Zhang.
ICCV, 2025.

[Paper] [Code]

DiffDoctor: Diagnosing Image Diffusion Models Before Treating
Yiyang Wang, Xi Chen, Xiaogang Xu#, Sihui Ji, Yu Liu, Yujun Shen, Hengshuang Zhao.
ICCV, 2025.

[Paper] [Code]

Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey
Chiyu Zhang, Xiaogang Xu#, Jiafei Wu, Zhe Liu, Lu Zhou.
ACM Computing Surveys, 2025.

[Paper] [Code]

Towards Unified 3D Object Detection via Algorithm and Data Unification
Zhuoling Li, Xiaogang Xu, SerNam Lim, Hengshuang Zhao.
TPAMI, 2025.

[Paper] [Code]

FashionComposer: Compositional Fashion Image Generations
Sihui Ji, Yiyang Wang, Xi Chen, Xiaogang Xu, Hao Luo, Hengshuang Zhao.
SIGGRAPH, 2025.

[Paper] [Code]

CFSynthesis: Controllable and free-view 3d human video synthesis
Liyuan Cui, Xiaogang Xu#, Wenqi Dong, Zesong Yang, Hujun Bao, Zhaopeng Cui.
ICMR, 2025.

[Paper] [Code]

DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection
Shuo Zhang, Jiaming Huang, Wenbing Tang, Yan Wu, Terrence Hu, Xiaogang Xu, Jing Liu.
AAAI, 2025.

[Paper] [Code]

DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately
Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu#, Jiafei Wu, Zhe Liu.
AAAI, 2025.

[Paper] [Code]

Towards Better Adversarial Purification via Adversarial Denoising Diffusion Training
Yiming Liu, Kezhao Liu, Yao Xiao, Ziyi Dong, Xiaogang Xu, Pengxu Wei, Liang Lin.
ICLR, 2025.

[Paper] [Code]

Diving Deep into Regions: Exploiting Regional Information Transformer for Single Image Deraining
Baiang Li, Zhao Zhang, Huan Zheng, Xiaogang Xu#, Yanyan Wei, Jingyi Zhang, Jicong Fan, Meng Wang.
TMM, 2025.

[Paper] [Code]

Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition
Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu.
IJCAI, 2025.

[Paper] [Code]

LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
Zhuoling Li, Xiaogang Xu, Zhenhua Xu, SerNam Lim, Hengshuang Zhao.
ICML, 2025.

[Paper] [Code]

Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior
Baiang Li, Sizhuo Ma, Yanhong Zeng, Xiaogang Xu, Youqing Fang, Zhao Zhang, Jian Wang, Kai Chen.
ICCP, 2025.

[Paper] [Code]

Particle Rendering: Implicitly Aggregating Incident and Outgoing Light Fields for Novel View Synthesis
Tao Hu, Zhiwen Yan, Xiaogang Xu, Gim Hee Lee.
3DV, 2025.

[Paper] [Code]

Publications in 2024

HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding
Fan Yuan, Chi Qin, Xiaogang Xu, Piji Li.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

[Paper] [Code]

Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments
Xipeng Chen, Guangrun Wang, Xiaogang Xu, Philip Torr, Liang Lin.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024.

[Paper] [Code]

[Paper] [Code]

[Paper] [Code]

Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement
Kun Zhou, Xinyu Lin, Wenbo Li, Xiaogang Xu, Yuanhao Cai, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu.
European Conference on Computer Vision (ECCV), 2024, (acceptance rate 18% (2395/12600)).

[Paper] [Code]

An Incremental Unified Framework for Small Defect Inspection
Jiaqi Tang, Hao Lu, Xiaogang Xu, Ruizheng Wu, Sixing Hu, Tong Zhang, Tsz Wa Cheng, Ming Ge, Yingcong Chen, Fugee Tsung.
European Conference on Computer Vision (ECCV), 2024, (acceptance rate 18% (2395/12600)).

[Paper] [Code]

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction
Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Di Xiao, Tao Xiang.
European Conference on Computer Vision (ECCV), 2024, (acceptance rate 18% (2395/12600)).

[Paper] [Code]

Towards Efficient Large-Scale Language-3D Representation Learning
Shentong Mo, Xiaogang Xu, Tongzhou Wang, Antonio Torralba, Shuang Li.
International Conference on Machine Learning (ICML), 2024, (acceptance rate 27.5% (2609/9473)).

[Paper] [Code]

Generative Active Learning for Long-tailed Instance Segmentation
Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, Xiaogang Xu, Chunhua Shen.
International Conference on Machine Learning (ICML), 2024, (acceptance rate 27.5% (2609/9473)).

[Paper] [Code]

[Paper] [Code]

MalGNE: Enhancing the Performance and Efficiency of CFG-based Malware Detector by Graph Node Embedding in Low Dimension Space
Hao Peng, Jieshuai Yang, Dandan Zhao, Xiaogang Xu, Yuwen Pu, Jianmin Han, Xing Yang, Ming Zhong, Shouling Ji.
IEEE Transactions on Information Forensics and Security , 2024.

[Paper] Code

[Paper] [Code]

UniMODE: Universal Monocular 3D Object Detection
Zhuoling Li, Xiaogang Xu, Ser-Nam Lim, Hengshuang Zhao.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, (Highlight, acceptance rate 2.8% (324/11532)).

[Paper] [Code]

[Paper] [Code]

Learning to Remove Wrinkled Transparent Film with Polarized Prior
Jiaqi Tang, Ruizheng Wu, Xiaogang Xu, Sixing Hu, Ying-Cong Chen.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, (acceptance rate 23.6% (2719/11532)).

[Paper] [Code]

S2WAT: Image Style Transfer via Hierarchical Vision Transformer using Strips Window Attention
Chiyu Zhang, Xiaogang Xu#, Lei Wang, Zaiyan Dai, Jun Yang.
AAAI Conference on Artificial Intelligence (AAAI), 2024, (acceptance rate 26.1% (2342/9862)).

[Paper] [Code]

Publications in 2023

Densely Annotated Synthetic Images Make Stronger Semantic Segmentation Models
Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao.
Conference on Neural Information Processing Systems (NeurIPS), 2023, (acceptance rate 26.1% (3221/12343)).

[Paper] [Code]

CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
Yixing Lao, Xiaogang Xu, Xihui Liu, Hengshuang Zhao.
Conference on Neural Information Processing Systems (NeurIPS), 2023, (acceptance rate 26.1% (3221/12343)).

[Paper] [Code]

Photo-Realistic Out-of-domain GAN inversion via Invertibility Decomposition
Xin Yang, Xiaogang Xu#, Yingcong Chen#.
IEEE International Conference on Computer Vision (ICCV), 2023, (acceptance rate 26.8% (2162/8068)).

[Paper] [Code]

Lighting up NeRF via Unsupervised Decomposition and Enhancement
Haoyuan Wang, Xiaogang Xu, Ke Xu, Rynson Lau.
IEEE International Conference on Computer Vision (ICCV), 2023, (acceptance rate 26.8% (2162/8068)).

[Paper] [Code]

High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation
Jiaqi Tang, Xiaogang Xu, Sixing Hu, Yingcong Chen.
European Conference on Artificial Intelligence (ECAI), 2023 (acceptance rate 24.0% (391/1631)).

[Paper] [Code]

[Paper] [Code]

[Paper] [Code]

[Paper] [Code]

[Paper] [Code]

Conditional Temporal Variational AutoEncoder for Action Video Prediction
Xiaogang Xu, Yi Wang, Liwei Wang, Bei Yu, Jiaya Jia.
International Journal of Computer Vision (IJCV), 2023.

[Paper] [Code]

Universal Adaptive Data Augmentation
Xiaogang Xu, Hengshuang Zhao.
International Joint Conferences on Artificial Intelligence (IJCAI), 2023 (acceptance rate 15.0% (685/4566)).

[Paper] [Code]

Publications in 2022

[Paper] [Code]

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
Xin Lai, Zhuotao Tian, Xiaogang Xu, Yingcong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia.
European Conference on Computer Vision (ECCV), 2022 (acceptance rate 19.9% (1629/8170)).

[Paper] [Code]

[Paper] [Code]

[Paper] [Code]

Publications in 2021

[Paper] [Code]

[Paper] [Code]

Text-Guided Human Image Manipulation via Image-Text Shared Space
Xiaogang Xu, Yingcong Chen, Jiaya Jia.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.

[Paper] [Code]

Adversarial Captchas (Applied and deployed on Alibaba's e-commerce platform)
Chenghui Shi, Xiaogang Xu, Shouling Ji, Kai Bu, Jianhai Chen, Raheem Beyah, Ting Wang.
IEEE Transactions on Cybernetics (TCYB), 2021.

[Paper] Code [News]

Self-Supervised 3D Mesh Reconstruction from Single Images
Tao Hu, Liwei Wang, Xiaogang Xu, Shu Liu, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (acceptance rate 23.7% (1661/7015)).

[Paper] [Code]

Semantic-Aware Video Color Style Transfer based on Temporal Consistent Sparse Patch Constraint
Yaxin Liu, Xiaoyan Zhang, Xiaogang Xu#.
IEEE International Conference on Multimedia and Expo (ICME), 2021.

[Paper] Code

Reference-based Video Colorization with Multi-scale Semantic Fusion and Temporal Augmentation
Yaxin Liu, Xiaoyan Zhang, Xiaogang Xu#.
IEEE International Conference on Image Processing (ICIP), 2021.

[Paper] Code

Publications in 2020

Domain Adaptive Image-to-image Translation
Yingcong Chen, Xiaogang Xu, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (acceptance rate 22.1% (1470/6656)).

[Paper] [Code]

Publications in 2019

View Independent Generative Adversarial Network for Novel View Synthesis
Xiaogang Xu, Yingcong Chen, Jiaya Jia.
IEEE International Conference on Computer Vision (ICCV), 2019 Oral (acceptance rate 4.3% (187/4304)).

[Paper] Code

Homomorphic Latent Space Interpolation for Unpaired Image-to-image Translation
Yingcong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Oral (acceptance rate 5.6% (288/5160)).

[Paper] [Code]

Ranking Users in Social Networks with Motif-based PageRank
Huan Zhao, Xiaogang Xu*, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.

[Paper] [Code]

Publications in 2018

Ranking Users in Social Networks with Higher-Order Struct
Huan Zhao, Xiaogang Xu*, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao.
AAAI Conference on Artificial Intelligence (AAAI), 2018 (acceptance rate 24.6% (933/3800)).

[Paper] [Code]

Publications in 2017

No‑reference stereoscopic image quality assessment based on saliency‑guided binocular feature consolidation
Xiaogang Xu, Yang Zhao, Yong Ding.
Electronics Letters, 2017.

[Paper] [Code]