Yu Qiao

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 393

Top Venues

Publications

Zishi Li, Xiaoxuan Ma, Qiuyan Shang, Wentao Zhu, Hai Ci, Yu Qiao, Yizhou Wang
Efficient Action Counting with Dynamic Queries. CoRR (2024)
Yunsong Zhou, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li, Hang Qiu, Hongzi Zhu, Minyi Guo, Yu Qiao, Hongyang Li
Embodied Understanding of Driving Scenarios. CoRR (2024)
Yu Qiao, Jian Wang, Can Cheng, Wei Tang, Peng Liang, Yuqi Zhao, Bing Li
Code Reviewer Recommendation Based on a Hypergraph with Multiplex Relationships. CoRR (2024)
Weigao Sun, Zhen Qin, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong
Linear Attention Sequence Parallelism. CoRR (2024)
Guoxin Chen, Kexin Tang, Chao Yang, Fuying Ye, Yu Qiao, Yiming Qian
SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning. CoRR (2024)
Zhichen Dong, Zhanhui Zhou, Chao Yang, Jing Shao, Yu Qiao
Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey. CoRR (2024)
Shikun Ban, Juling Fan, Wentao Zhu, Xiaoxuan Ma, Yu Qiao, Yizhou Wang
Real-time Holistic Robot Pose Estimation with Unknown States. CoRR (2024)
Yu Qiao, Jian Wang, Can Cheng, Wei Tang, Peng Liang, Yuqi Zhao, Bing Li
Code Reviewer Recommendation Based on a Hypergraph with Multiplex Relationships. SANER (2024)
Yan Wen, Xihao Wang, Lihe Peng, Yu Qiao
A Coarse-to-Fine Hierarchical Feature Learning for SAR Automatic Target Recognition With Limited Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Shaobin Zhuang, Kunchang Li, Xinyuan Chen, Yaohui Wang, Ziwei Liu, Yu Qiao, Yali Wang
Vlogger: Make Your Dream A Vlog. CoRR (2024)
Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Xilin Wei, Songyang Zhang, Haodong Duan, Maosong Cao, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Xinyue Zhang, Wei Li, Jingwen Li, Kai Chen, Conghui He, Xingcheng Zhang, Yu Qiao, Dahua Lin, Jiaqi Wang
InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model. CoRR (2024)
Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. ACL (1) (2024)
Yutong Chen, Yifan Zhan, Zhihang Zhong, Wei Wang, Xiao Sun, Yu Qiao, Yinqiang Zheng
Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence. CoRR (2024)
Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu, Songyang Zhang, Wenwei Zhang, Xingjun Ma, Yu-Gang Jiang, Yu Qiao, Yingchun Wang
Fake Alignment: Are LLMs Really Aligned Well? NAACL-HLT (2024)
Peng Gao, Renrui Zhang, Chris Liu, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Hongsheng Li, Yu Qiao
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. CoRR (2024)
Ziyan Chen, Jingwen He, Xinqi Lin, Yu Qiao, Chao Dong
Towards Real-world Video Face Restoration: A New Benchmark. CoRR (2024)
Yan Ma, Yu Qiao, Pengfei Liu
MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation. CoRR (2024)
Yunxiang Fu, Chaoqi Chen, Yu Qiao, Yizhou Yu
DreamDA: Generative Data Augmentation with Diffusion Models. CoRR (2024)
Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. CoRR (2024)
Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Choong Seon Hong
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality. CoRR (2024)
Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, Jun Liu, Yu Qiao, Zhiyong Wu
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models. CoRR (2024)
Daocheng Fu, Wenjie Lei, Licheng Wen, Pinlong Cai, Song Mao, Min Dou, Botian Shi, Yu Qiao
LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving. CoRR (2024)
Fanqing Meng, Wenqi Shao, Quanfeng Lu, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo
ChartAssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning. ACL (Findings) (2024)
Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong
CO2: Efficient Distributed Training with Full Communication-Computation Overlap. ICLR (2024)
Quanfeng Lu, Wenqi Shao, Zitao Liu, Fanqing Meng, Boxuan Li, Botong Chen, Siyuan Huang, Kaipeng Zhang, Yu Qiao, Ping Luo
GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices. CoRR (2024)
Fanqing Meng, Wenqi Shao, Quanfeng Lu, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo
ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning. CoRR (2024)
Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI. CoRR (2024)
Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. CoRR (2024)
Changyao Tian, Xizhou Zhu, Yuwen Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Yuntao Chen, Lewei Lu, Tong Lu, Jie Zhou, Hongsheng Li, Yu Qiao, Jifeng Dai
MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer. CoRR (2024)
Hao Wu, Huabin Liu, Yu Qiao, Xiao Sun
DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement. CoRR (2024)
Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong
CO2: Efficient Distributed Training with Full Communication-Computation Overlap. CoRR (2024)
Haiyu Zhang, Xinyuan Chen, Yaohui Wang, Xihui Liu, Yunhong Wang, Yu Qiao
4Diffusion: Multi-view Video Diffusion Model for 4D Generation. CoRR (2024)
Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao
Safety of Multimodal Large Language Models on Images and Text. CoRR (2024)
Jia Zeng, Qingwen Bu, Bangjun Wang, Wenke Xia, Li Chen, Hao Dong, Haoming Song, Dong Wang, Di Hu, Ping Luo, Heming Cui, Bin Zhao, Xuelong Li, Yu Qiao, Hongyang Li
Learning Manipulation by Predicting Interaction. CoRR (2024)
Haohan Weng, Danqing Huang, Yu Qiao, Zheng Hu, Chin-Yew Lin, Tong Zhang, C. L. Philip Chen
Desigen: A Pipeline for Controllable Design Template Generation. CoRR (2024)
Yu Qiao, Xiangtuan Xiong
Iterated fractional Tikhonov method for recovering the source term and initial data simultaneously in a two-dimensional diffusion equation. J. Comput. Appl. Math. 451 (2024)
Yinquan Lu, Wenhao Zhu, Lei Li, Yu Qiao, Fei Yuan
LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages. CoRR (2024)
Lijun Li, Bowen Dong, Ruohui Wang, Xuhao Hu, Wangmeng Zuo, Dahua Lin, Yu Qiao, Jing Shao
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models. CoRR (2024)
Jie Zhang, Dongrui Liu, Chen Qian, Ziyue Gan, Yong Liu, Yu Qiao, Jing Shao
The Better Angels of Machine Personality: How Personality Relates to LLM Safety. CoRR (2024)
Tianle Gu, Zeyang Zhou, Kexin Huang, Dandan Liang, Yixu Wang, Haiquan Zhao, Yuanqi Yao, Xingge Qiao, Keqing Wang, Yujiu Yang, Yan Teng, Yu Qiao, Yingchun Wang
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models. CoRR (2024)
Peng Gao, Shijie Geng, Renrui Zhang, Teli Ma, Rongyao Fang, Yongfeng Zhang, Hongsheng Li, Yu Qiao
CLIP-Adapter: Better Vision-Language Models with Feature Adapters. Int. J. Comput. Vis. 132 (2) (2024)
Yu Qiao, Jian Wang, Zhengli Liu, Wei Tang, Xiangfei Lu, Bing Li
An ecology-oriented convergence evolution analysis method of crossover service ecosystems. J. Softw. Evol. Process. 36 (7) (2024)
Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM. CoRR (2024)
Fanghua Yu, Jinjin Gu, Zheyuan Li, Jinfan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. CoRR (2024)
Zaibin Zhang, Yongting Zhang, Lijun Li, Hongzhi Gao, Lijun Wang, Huchuan Lu, Feng Zhao, Yu Qiao, Jing Shao
PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety. CoRR (2024)
Xiaohui Yang, Yu Qiao, Shiyuan Han, Zhen Feng, Yuehui Chen
Appearance-posture fusion network for distracted driving behavior recognition. Expert Syst. Appl. 257 (2024)
Zhichen Dong, Zhanhui Zhou, Chao Yang, Jing Shao, Yu Qiao
Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey. NAACL-HLT (2024)
Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue
OneLLM: One Framework to Align All Modalities with Language. CoRR (2023)
Renrui Zhang, Jiaming Han, Aojun Zhou, Xiangfei Hu, Shilin Yan, Pan Lu, Hongsheng Li, Peng Gao, Yu Qiao
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention. CoRR (2023)
Yee Wei Law, Yu Qiao, Christopher W. K. Chow, Romeo Marian, Neda Gorjian Jolfaei, Nima Gorjian, Jeng-Shyang Pan
Diagnosing Rolling-Element Bearing Faults in the Real World: Problem Solved? IECON (2023)
Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. CoRR (2023)
Yu Qiao, Bo Dong, Ao Jin, Yu Fu, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang
Multi-view Spectral Polarization Propagation for Video Glass Segmentation. ICCV (2023)
Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao
Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling. CoRR (2023)
Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang
Text-guided Foundation Model Adaptation for Pathological Image Classification. CoRR (2023)
Zhengli Liu, Bing Li, Jian Wang, Xiangfei Lu, Yu Qiao
Goal model convergence and conflict detection for crossover services. J. Syst. Softw. 199 (2023)
Linyan Huang, Zhiqi Li, Chonghao Sima, Wenhai Wang, Jingdong Wang, Yu Qiao, Hongyang Li
Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection. CoRR (2023)
Chaoning Zhang, Sheng Zheng, Chenghao Li, Yu Qiao, Taegoo Kang, Xinru Shan, Chenshuang Zhang, Caiyan Qin, François Rameau, Sung-Ho Bae, Choong Seon Hong
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering. CoRR (2023)
Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. CoRR (2023)
Chaoning Zhang, Yu Qiao, Shehbaz Tariq, Sheng Zheng, Chenshuang Zhang, Chenghao Li, Hyundong Shin, Choong Seon Hong
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape. CoRR (2023)
Zhenyu Wu, YaoXiang Wang, Jiacheng Ye, Jiangtao Feng, Jingjing Xu, Yu Qiao, Zhiyong Wu
OpenICL: An Open-Source Framework for In-context Learning. CoRR (2023)
Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, Hongsheng Li, Yu Qiao
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model. CoRR (2023)
Yu Qiao, Jinming Xu, Zhilei Chen, Jiahua Kang, Cheng Cheng
Absolute Stability Analysis of Single-Phase Grid-Tied Inverters with Open-Loop Synchronization. iSPEC (2023)
Yuming Jiang, Tianxing Wu, Shuai Yang, Chenyang Si, Dahua Lin, Yu Qiao, Chen Change Loy, Ziwei Liu
VideoBooth: Diffusion-based Video Generation with Image Prompts. CoRR (2023)
Linyan Huang, Zhiqi Li, Chonghao Sima, Wenhai Wang, Jingdong Wang, Yu Qiao, Hongyang Li
Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection. NeurIPS (2023)
Yu Qiao, Seong-Bae Park, Sun Moo Kang, Choong Seon Hong
Prototype Helps Federated Learning: Towards Faster Convergence. CoRR (2023)
Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, Bo Dai
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning. CoRR (2023)
Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, Jifeng Dai
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks. NeurIPS (2023)
Yu Qiao, Huy Q. Le, Choong Seon Hong
Boosting Federated Learning Convergence with Prototype Regularization. CoRR (2023)
Wenlong Zhang, Xiaohui Li, Guangyuan Shi, Xiangyu Chen, Yu Qiao, Xiaoyun Zhang, Xiao-Ming Wu, Chao Dong
Real-World Image Super-Resolution as Multi-Task Learning. NeurIPS (2023)
Haoyi Zhu, Honghui Yang, Xiaoyang Wu, Di Huang, Sha Zhang, Xianglong He, Tong He, Hengshuang Zhao, Chunhua Shen, Yu Qiao, Wanli Ouyang
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm. CoRR (2023)
Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li
Planning-oriented Autonomous Driving. CVPR (2023)
Wenqi Shao, Yutao Hu, Peng Gao, Meng Lei, Kaipeng Zhang, Fanqing Meng, Peng Xu, Siyuan Huang, Hongsheng Li, Yu Qiao, Ping Luo
Tiny LVLM-eHub: Early Multimodal Experiments with Bard. CoRR (2023)
Licheng Wen, Daocheng Fu, Song Mao, Pinlong Cai, Min Dou, Yikang Li, Yu Qiao
LimSim: A Long-Term Interactive Multi-Scenario Traffic Simulator. ITSC (2023)
Peng Xu, Wenqi Shao, Kaipeng Zhang, Peng Gao, Shuo Liu, Meng Lei, Fanqing Meng, Siyuan Huang, Yu Qiao, Ping Luo
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models. CoRR (2023)
Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yucheng Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion. CoRR (2023)
Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Avi Deb Raha, Sang Hoon Hong, Choong Seon Hong
A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence. ICOIN (2023)
Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. CoRR (2023)
Guo Chen, Yin-Dong Zheng, Jiahao Wang, Jilan Xu, Yifei Huang, Junting Pan, Yi Wang, Yali Wang, Yu Qiao, Tong Lu, Limin Wang
VideoLLM: Modeling Video Sequence with Large Language Models. CoRR (2023)
Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. ICCV (2023)
Lingjun Zhang, Xinyuan Chen, Yaohui Wang, Yue Lu, Yu Qiao
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model. CoRR (2023)
Runnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, Wenping Wang
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP. CoRR (2023)
Zeren Chen, Ziqin Wang, Zhen Wang, Huayang Liu, Zhenfei Yin, Si Liu, Lu Sheng, Wanli Ouyang, Yu Qiao, Jing Shao
Octavius: Mitigating Task Interference in MLLMs via MoE. CoRR (2023)
Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex C. Kot, Bihan Wen
SinSR: Diffusion-Based Image Super-Resolution in a Single Step. CoRR (2023)
Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang, Yuanhan Zhang, Tianxing Wu, Qingyang Jin, Nattapol Chanpaisit, Yaohui Wang, Xinyuan Chen, Limin Wang, Dahua Lin, Yu Qiao, Ziwei Liu
VBench: Comprehensive Benchmark Suite for Video Generative Models. CoRR (2023)
Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, Jifeng Dai
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory. CoRR (2023)
Zeyu Lu, Chengyue Wu, Xinyuan Chen, Yaohui Wang, Lei Bai, Yu Qiao, Xihui Liu
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation. CoRR (2023)
Xu Liu, Tong Zhou, Yuanxin Wang, Yuping Wang, Qinjingwen Cao, Weizhi Du, Yonghuan Yang, Junjun He, Yu Qiao, Yiqing Shen
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey. CoRR (2023)
Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation. CoRR (2023)
Hongjie Zhang, Yi Liu, Lu Dong, Yifei Huang, Zhen-Hua Ling, Yali Wang, Limin Wang, Yu Qiao
MoVQA: A Benchmark of Versatile Question-Answering for Long-Form Movie Understanding. CoRR (2023)
Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao
Query-Relevant Images Jailbreak Large Multi-Modal Models. CoRR (2023)
Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft. CoRR (2023)
Lingdong Kong, Youquan Liu, Runnan Chen, Yuexin Ma, Xinge Zhu, Yikang Li, Yuenan Hou, Yu Qiao, Ziwei Liu
Rethinking Range View Representation for LiDAR Segmentation. ICCV (2023)
Zhaoyang Xia, Youquan Liu, Xin Li, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao
SCPNet: Semantic Scene Completion on Point Cloud. CVPR (2023)
Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao
Point Transformer V3: Simpler, Faster, Stronger. CoRR (2023)
Bo Zhang, Jiakang Yuan, Botian Shi, Tao Chen, Yikang Li, Yu Qiao
Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection. CVPR (2023)
Xuyang Shen, Dong Li, Jinxing Zhou, Zhen Qin, Bowen He, Xiaodong Han, Aixuan Li, Yuchao Dai, Lingpeng Kong, Meng Wang, Yu Qiao, Yiran Zhong
Fine-grained Audible Video Description. CVPR (2023)
Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. CVPR (2023)
Renrui Zhang, Han Qiu, Tai Wang, Ziyu Guo, Ziteng Cui, Yu Qiao, Hongsheng Li, Peng Gao
MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection. ICCV (2023)
Runnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, Wenping Wang
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP. CVPR (2023)
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
Topology Reasoning for Driving Scenes. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yu Qiao