Hang Xu

According to our database, Hang Xu authored at least 152 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Survey on Video Diffusion Models.

Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu, Yu-Gang Jiang

ACM Comput. Surv., February, 2025

2024

Correctable Landmark Discovery via Large Models for Vision-Language Navigation.

Bingqian Lin, Yunshuang Nie, Ziming Wei, Yi Zhu, Hang Xu, Shikui Ma, Jianzhuang Liu, Xiaodan Liang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Fine-Grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection.

Yanxin Long, Jianhua Han, Runhui Huang, Hang Xu, Yi Zhu, Chunjing Xu, Xiaodan Liang

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Deeply Unsupervised Patch Re-Identification for Pre-Training Object Detectors.

Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation.

Kaidong Zhang, Pengzhen Ren, Bingqian Lin, Junfan Lin, Shikui Ma, Hang Xu, Xiaodan Liang

CoRR, 2024

UNIT: Unifying Image and Text Recognition in One Vision Encoder.

Yi Zhu, Yanpeng Zhou, Chunwei Wang, Yang Cao, Jianhua Han, Lu Hou, Hang Xu

CoRR, 2024

EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation.

Cong Wang, Jiaxi Gu, Panwen Hu, Haoyu Zhao, Yuanfan Guo, Jianhua Han, Hang Xu, Xiaodan Liang

CoRR, 2024

HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models.

Runhui Huang, Xinpeng Ding, Chunwei Wang, Jianhua Han, Yulong Liu, Hengshuang Zhao, Hang Xu, Lu Hou, Wei Zhang, Xiaodan Liang

CoRR, 2024

AutoTVG: A New Vision-language Pre-training Paradigm for Temporal Video Grounding.

Xing Zhang, Jiaxi Gu, Haoyu Zhao, Shicong Wang, Hang Xu, Renjing Pei, Songcen Xu, Zuxuan Wu, Yu-Gang Jiang

CoRR, 2024

Collaborative Novel Object Discovery and Box-Guided Cross-Modal Alignment for Open-Vocabulary 3D Object Detection.

Yang Cao, Yihan Zeng, Hang Xu, Dan Xu

CoRR, 2024

LaneCorrect: Self-supervised Lane Detection.

Ming Nie, Xinyue Cai, Hang Xu, Li Zhang

CoRR, 2024

OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation.

Haochen Jiang, Yueming Xu, Yihan Zeng, Hang Xu, Wei Zhang, Jianfeng Feng, Li Zhang

CoRR, 2024

NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning.

Bingqian Lin, Yunshuang Nie, Ziming Wei, Jiaqi Chen, Shikui Ma, Jianhua Han, Hang Xu, Xiaojun Chang, Xiaodan Liang

CoRR, 2024

From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs.

Yulong Liu, Yunlong Yuan, Chunwei Wang, Jianhua Han, Yongqiang Ma, Li Zhang, Nanning Zheng, Hang Xu

CoRR, 2024

Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models.

Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, Xiaomeng Li

CoRR, 2024

Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models.

Tianyi Lu, Xing Zhang, Jiaxi Gu, Renjing Pei, Songcen Xu, Xingjun Ma, Hang Xu, Zuxuan Wu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction.

Renjie Pi, Lewei Yao, Jianhua Han, Xiaodan Liang, Wei Zhang, Hang Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields.

Tianyu Huang, Yihan Zeng, Bowen Dong, Hang Xu, Songcen Xu, Rynson W. H. Lau, Wangmeng Zuo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.

Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MagDiff: Multi-alignment Diffusion for High-Fidelity Video Generation and Editing.

Haoyu Zhao, Tianyi Lu, Jiaxi Gu, Xing Zhang, Qingping Zheng, Zuxuan Wu, Hang Xu, Yu-Gang Jiang

Proceedings of the Computer Vision - ECCV 2024, 2024

Reason2Drive: Towards Interpretable and Chain-Based Reasoning for Autonomous Driving.

Ming Nie, Renyuan Peng, Chunwei Wang, Xinyue Cai, Jianhua Han, Hang Xu, Li Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion.

Guansong Lu, Yuanfan Guo, Jianhua Han, Minzhe Niu, Yihan Zeng, Songcen Xu, Zeyi Huang, Zhao Zhong, Wei Zhang, Hang Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

Implicit Concept Removal of Diffusion Models.

Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok

Proceedings of the Computer Vision - ECCV 2024, 2024

JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation.

Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung

Proceedings of the Computer Vision - ECCV 2024, 2024

LayerDiff: Exploring Text-Guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model.

Runhui Huang, Kaixin Cai, Jianhua Han, Xiaodan Liang, Renjing Pei, Guansong Lu, Songcen Xu, Wei Zhang, Hang Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation.

Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-Fine Pose-Reversible Guidance.

Guian Fang, Wenbiao Yan, Yuanfan Guo, Jianhua Han, Zutao Jiang, Hang Xu, Shengcai Liao, Xiaodan Liang

Proceedings of the Computer Vision - ECCV 2024, 2024

Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution.

Qingping Zheng, Ling Zheng, Yuanfan Guo, Ying Li, Songcen Xu, Jiankang Deng, Hang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection.

Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Wei Zhang, Zhenguo Li, Dan Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior.

Tianyu Huang, Yihan Zeng, Zhilu Zhang, Wan Xu, Hang Xu, Songcen Xu, Rynson W. H. Lau, Wangmeng Zuo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Holistic Autonomous Driving Understanding by Bird'View Injected Multi-Modal Large Models.

Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, Xiaomeng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation.

Xiwen Liang, Liang Ma, Shanshan Guo, Jianhua Han, Hang Xu, Shikui Ma, Xiaodan Liang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images.

Qingping Zheng, Yuanfan Guo, Jiankang Deng, Jianhua Han, Ying Li, Songcen Xu, Hang Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement.

Renyuan Peng, Xinyue Cai, Hang Xu, Jiachen Lu, Feng Wen, Wei Zhang, Li Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Point-Guided Contrastive Learning for Monocular 3-D Object Detection.

Dapeng Feng, Songfang Han, Hang Xu, Xiaodan Liang, Xiaojun Tan

IEEE Trans. Cybern., 2023

Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.

Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Aoxue Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang

CoRR, 2023

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.

Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong

CoRR, 2023

DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance.

Cong Wang, Jiaxi Gu, Panwen Hu, Songcen Xu, Hang Xu, Xiaodan Liang

CoRR, 2023

VideoAssembler: Identity-Consistent Video Generation with Reference Entities using Diffusion Model.

Haoyu Zhao, Tianyi Lu, Jiaxi Gu, Xing Zhang, Zuxuan Wu, Hang Xu, Yu-Gang Jiang

CoRR, 2023

Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models.

Tianyi Lu, Xing Zhang, Jiaxi Gu, Hang Xu, Renjing Pei, Songcen Xu, Zuxuan Wu

CoRR, 2023

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.

Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models.

Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok

CoRR, 2023

HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving.

Xinpeng Ding, Jianhua Han, Hang Xu, Wei Zhang, Xiaomeng Li

CoRR, 2023

Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation.

Jiaxi Gu, Shicong Wang, Haoyu Zhao, Tianyi Lu, Xing Zhang, Zuxuan Wu, Songcen Xu, Wei Zhang, Yu-Gang Jiang, Hang Xu

CoRR, 2023

MO-VLN: A Multi-Task Benchmark for Open-set Zero-Shot Vision-and-Language Navigation.

Xiwen Liang, Liang Ma, Shanshan Guo, Jianhua Han, Hang Xu, Shikui Ma, Xiaodan Liang

CoRR, 2023

Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards.

Guian Fang, Zutao Jiang, Jianhua Han, Guansong Lu, Hang Xu, Xiaodan Liang

CoRR, 2023

Boosting Visual-Language Models by Exploiting Hard Samples.

Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li

CoRR, 2023

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining.

Bingqian Lin, Zicong Chen, Mingjie Li, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang

CoRR, 2023

Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving.

Huijie Wang, Zhenbo Liu, Yang Li, Tianyu Li, Li Chen, Chonghao Sima, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Jun Yao, Yu Qiao, Hongyang Li

CoRR, 2023

Topology Reasoning for Driving Scenes.

Tianyu Li, Li Chen, Xiangwei Geng, Huijie Wang, Yang Li, Zhenbo Liu, Shengyin Jiang, Yuting Wang, Hang Xu, Chunjing Xu, Feng Wen, Ping Luo, Junchi Yan, Wei Zhang, Xiaogang Wang, Yu Qiao, Hongyang Li

CoRR, 2023

Towards Universal Vision-language Omni-supervised Segmentation.

Bowen Dong, Jiaxi Gu, Jianhua Han, Hang Xu, Wangmeng Zuo

CoRR, 2023

Entity-Level Text-Guided Image Manipulation.

Yikai Wang, Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Wei Zhang, Yanwei Fu

CoRR, 2023

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping.

Huijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Hongyang Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection.

Yang Cao, Yihan Zeng, Hang Xu, Dan Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SUIT: Learning Significance-Guided Information for 3D Temporal Detection.

Zheyuan Zhou, Jiachen Lu, Yihan Zeng, Hang Xu, Li Zhang

IROS, 2023

ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency.

Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts.

Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning.

Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment.

Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.

Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection.

Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach.

Jiachen Lu, Hongyang Li, Renyuan Peng, Feng Wen, Xinyue Cai, Wei Zhang, Hang Xu, Li Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration.

Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability.

Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval.

Peiyan Guan, Renjing Pei, Bin Shao, Jianzhuang Liu, Weimian Li, Jiaxi Gu, Hang Xu, Songcen Xu, Youliang Yan, Edmund Y. Lam

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training.

Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation.

Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DetGPT: Detect What You Need via Reasoning.

Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection.

Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP²: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data.

Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment.

Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CapDet: Unifying Dense Captioning and Open-World Detection Pretraining.

Yanxin Long, Youpeng Wen, Jianhua Han, Hang Xu, Pengzhen Ren, Wei Zhang, Shen Zhao, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving.

Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mixed Autoencoder for Self-Supervised Visual Representation Learning.

Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation.

Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

NLIP: Noise-Robust Language-Image Pre-training.

Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Exploring Visual Interpretability for Contrastive Language-Image Pre-training.

Yi Li, Hualiang Wang, Yiqun Duan, Hang Xu, Xiaomeng Li

CoRR, 2022

Softmax-free Linear Transformers.

Jiachen Lu, Li Zhang, Junge Zhang, Xiatian Zhu, Hang Xu, Jianfeng Feng

CoRR, 2022

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Zhenguo Li, Ping Luo

CoRR, 2022

ZeroGen⁺: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning.

Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong

CoRR, 2022

Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework.

Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Minzhe Niu, Hang Xu, Xiaodan Liang, Wei Zhang, Xin Jiang, Chunjing Xu

CoRR, 2022

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection.

Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving.

Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark.

Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FILIP: Fine-grained Interactive Language-Image Pre-Training.

Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Revisiting Over-smoothing in BERT from the Perspective of Graph.

Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok

Proceedings of the Tenth International Conference on Learning Representations, 2022

ZeroGen: Efficient Zero-shot Learning via Dataset Generation.

Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction.

Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li

Proceedings of the Computer Vision - ECCV 2022, 2022

Generative Negative Text Replay for Continual Vision-Language Pretraining.

Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He

Proceedings of the Computer Vision - ECCV 2022, 2022

RCLane: Relay Chain Prediction for Lane Detection.

Shenghua Xu, Xinyue Cai, Bin Zhao, Li Zhang, Hang Xu, Yanwei Fu, Xiangyang Xue

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Ego 3D Representation as Ray Tracing.

Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding.

Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang

Proceedings of the Computer Vision - ECCV 2022, 2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.

Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection.

Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2022, 2022

Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism.

Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ONCE-3DLanes: Building Monocular 3D Lane Detection.

Fan Yan, Ming Nie, Xinyue Cai, Jianhua Han, Hang Xu, Zhen Yang, Chaoqiang Ye, Yanwei Fu, Michael Bi Mi, Li Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Point2Seq: Detecting 3D Objects as Sequences.

Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation.

Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Chunjing Xu, Yanwei Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search.

Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration.

Xiwen Liang, Fengda Zhu, Lingling Li, Hang Xu, Xiaodan Liang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing.

Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Laneformer: Object-Aware Row-Column Transformers for Lane Detection.

Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

AutoBERT-Zero: Evolving BERT Backbone from Scratch.

Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving.

Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

CoRR, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu

CoRR, 2021

BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening.

Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo

CoRR, 2021

Unsupervised Pretraining for Object Detection by Patch Reidentification.

Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia

CoRR, 2021

DetCo: Unsupervised Contrastive Learning for Object Detection.

Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo

CoRR, 2021

Trans2Seg: Transparent Object Segmentation with Transformer.

Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo

CoRR, 2021

Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training.

Yihan Zeng, Chunwei Wang, Yunbo Wang, Hang Xu, Chaoqiang Ye, Zhen Yang, Chao Ma

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Chunjing Xu, Hang Xu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SOFT: Softmax-free Transformer with Linear Complexity.

Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.

Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Segmenting Transparent Objects in the Wild with Transformer.

Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

SparseBERT: Rethinking the Importance Analysis in Self-attention.

Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok

Proceedings of the 38th International Conference on Machine Learning, 2021

Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search.

Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li

Proceedings of the 9th International Conference on Learning Representations, 2021

Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining.

Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation.

Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models.

Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DetCo: Unsupervised Contrastive Learning for Object Detection.

Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Peize Sun, Zhenguo Li, Ping Luo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Voxel Transformer for 3D Object Detection.

Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection.

Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection.

Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.

Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Robustness for Unsupervised Domain Adaptation.

Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

C³-SemiSeg: Contrastive Semi-supervised Segmentation via Cross-set Learning and Dynamic Class-balancing.

Yanning Zhou, Hang Xu, Wei Zhang, Bin Gao, Pheng-Ann Heng

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation.

Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Effective Sparsification of Neural Networks With Global Sparsity Constraint.

Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation.

Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search.

Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection.

Fuhui Tang, Chenhan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation.

Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

How to Save your Annotation Cost for Panoptic Segmentation?

Xuefeng Du, Chenhan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

VEGA: Towards an End-to-End Configurable AutoML Pipeline.

Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang

CoRR, 2020

Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation.

Yangxin Wu, Gengwei Zhang, Hang Xu, Xiaodan Liang, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS.

Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending.

Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li

Proceedings of the Computer Vision - ECCV 2020, 2020

AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling.

Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li

Proceedings of the Computer Vision - ECCV 2020, 2020

CATCH: Context-Based Meta Reinforcement Learning for Transferrable Architecture Search.

Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li

Proceedings of the Computer Vision - ECCV 2020, 2020

SP-NAS: Serial-to-Parallel Backbone Search for Object Detection.

Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection.

Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN.

Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection.

Chenhan Jiang, Shaoju Wang, Xiaodan Liang, Hang Xu, Nong Xiao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement.

Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Rank aggregation using latent-scale distance-based models.

Philip L. H. Yu, Hang Xu

Stat. Comput., 2019

Multi-objective Neural Architecture Search via Predictive Network Performance Optimization.

Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang

CoRR, 2019

Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification.

Hang Xu, Lewei Yao, Zhenguo Li, Xiaodan Liang, Wei Zhang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection.

Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Spatial-Aware Graph Relation Network for Large-Scale Object Detection.

Hang Xu, Chenhan Jiang, Xiaodan Liang, Zhenguo Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Angle-based models for ranking data.

Hang Xu, Mayer Alvo, Philip L. H. Yu

Comput. Stat. Data Anal., 2018

Hybrid Knowledge Routed Modules for Large-scale Object Detection.

Chenhan Jiang, Hang Xu, Xiaodan Liang, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018