Yu Qiao

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 421

Top Venues

CoRR

CVPR

AAAI

IEEE Trans. Image Process.

Publications

Yi Yu, Jingru Yu, Xuhong Wang, Juanjuan Li, Yilun Lin, Conghui He, Yanqing Yang, Yu Qiao, Li Li, Fei-Yue Wang
Navigating the Data Trading Crossroads: An Interdisciplinary Survey. CoRR (2024)
Xin Ma, Yaohui Wang, Gengyun Jia, Xinyuan Chen, Yuan-Fang Li, Cunjian Chen, Yu Qiao
Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models. CoRR (2024)
Xinyuan Chen, Yaohui Wang, Lingjun Zhang, Shaobin Zhuang, Xin Ma, Jiashuo Yu, Yali Wang, Dahua Lin, Yu Qiao, Ziwei Liu
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction. ICLR (2024)
Wenshuo Peng, Kaipeng Zhang, Yue Yang, Hao Zhang, Yu Qiao
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification. CoRR (2024)
Daocheng Fu, Xin Li, Licheng Wen, Min Dou, Pinlong Cai, Botian Shi, Yu Qiao
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models. WACV (Workshops) (2024)
Shuo Cao, Yihao Liu, Wenlong Zhang, Yu Qiao, Chao Dong
GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity. CoRR (2024)
Hao Zhang, Wenqi Shao, Hong Liu, Yongqiang Ma, Ping Luo, Yu Qiao, Kaipeng Zhang
AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Adversarial Visual-Instructions. CoRR (2024)
Zeyu Lu, Chengyue Wu, Xinyuan Chen, Yaohui Wang, Lei Bai, Yu Qiao, Xihui Liu
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation. WACV (2024)
Tianle Zhang, Langtian Ma, Yuchen Yan, Yuchen Zhang, Kai Wang, Yue Yang, Ziyao Guo, Wenqi Shao, Yang You, Yu Qiao, Ping Luo, Kaipeng Zhang
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality. 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. ACL (Findings) (2024)
Xizhou Zhu, Xue Yang, Zhaokai Wang, Hao Li, Wenhan Dou, Junqi Ge, Lewei Lu, Yu Qiao, Jifeng Dai
Parameter-Inverted Image Pyramid Networks. CoRR (2024)
Boyu Chen, Siran Chen, Kunchang Li, Qinglin Xu, Yu Qiao, Yali Wang
Percept, Chat, and then Adapt: Multimodal Knowledge Transfer of Foundation Models for Open-World Video Recognition. CoRR (2024)
Ziyu Liu, Tao Chu, Yuhang Zang, Xilin Wei, Xiaoyi Dong, Pan Zhang, Zijian Liang, Yuanjun Xiong, Yu Qiao, Dahua Lin, Jiaqi Wang
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs. CoRR (2024)
Lin Chen, Xilin Wei, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Bin Lin, Zhenyu Tang, Li Yuan, Yu Qiao, Dahua Lin, Feng Zhao, Jiaqi Wang
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions. CoRR (2024)
Jingwen He, Tianfan Xue, Dongyang Liu, Xinqi Lin, Peng Gao, Dahua Lin, Yu Qiao, Wanli Ouyang, Ziwei Liu
VEnhancer: Generative Space-Time Enhancement for Video Generation. CoRR (2024)
Weiyun Wang, Shuibo Zhang, Yiming Ren, Yuchen Duan, Tiantong Li, Shuo Liu, Mengkang Hu, Zhe Chen, Kaipeng Zhang, Lewei Lu, Xizhou Zhu, Ping Luo, Yu Qiao, Jifeng Dai, Wenqi Shao, Wenhai Wang
Needle In A Multimodal Haystack. CoRR (2024)
Yue Yang, Yuqi lin, Hong Liu, Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo
Towards Implicit Prompt For Text-To-Image Models. CoRR (2024)
Sirui Chen, Bo Peng, Meiqi Chen, Ruiqi Wang, Mengying Xu, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Yu Qiao, Chaochao Lu
Causal Evaluation of Language Models. CoRR (2024)
Shilin Yan, Renrui Zhang, Ziyu Guo, Wenchao Chen, Wei Zhang, Hongyang Li, Yu Qiao, Hao Dong, Zhongjiang He, Peng Gao
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation. AAAI (2024)
Zhaoxun Ju, Chao Yang, Fuchun Sun, Hongbo Wang, Yu Qiao
Rethinking Mutual Information for Language Conditioned Skill Discovery on Imitation Learning. ICAPS (2024)
Weiyun Wang, Min Shi, Qingyun Li, Wenhai Wang, Zhenhang Huang, Linjie Xing, Zhe Chen, Hao Li, Xizhou Zhu, Zhiguo Cao, Yushi Chen, Tong Lu, Jifeng Dai, Yu Qiao
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World. ICLR (2024)
Bo Zou, Chao Yang, Yu Qiao, Chengbin Quan, Youjian Zhao
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction. CoRR (2024)
Ziteng Cui, Lin Gu, Xiao Sun, Xianzheng Ma, Yu Qiao, Tatsuya Harada
Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption. AAAI (2024)
Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Yu Qiao, Peng Gao, Hongsheng Li
Personalize Segment Anything Model with One Shot. ICLR (2024)
Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, Bo Dai
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning. ICLR (2024)
Baoqi Pei, Guo Chen, Jilan Xu, Yuping He, Yicheng Liu, Kanghua Pan, Yifei Huang, Yali Wang, Tong Lu, Limin Wang, Yu Qiao
EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation. CoRR (2024)
Hao Wen, Zehuan Huang, Yaohui Wang, Xinyuan Chen, Yu Qiao, Lu Sheng
Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion. CoRR (2024)
Peng Gao, Le Zhuo, Dongyang Liu, Ruoyi Du, Xu Luo, Longtian Qiu, Yuhang Zhang, Chen Lin, Rongjie Huang, Shijie Geng, Renrui Zhang, Junlin Xi, Wenqi Shao, Zhengkai Jiang, Tianshuo Yang, Weicai Ye, He Tong, Jingwen He, Yu Qiao, Hongsheng Li
Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers. CoRR (2024)
Peng Gao, Ziyi Lin, Renrui Zhang, Rongyao Fang, Hongyang Li, Hongsheng Li, Yu Qiao
Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature Mimicking. Int. J. Comput. Vis. 132 (5) (2024)
Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. CoRR (2024)
Zhaoxun Ju, Chao Yang, Hongbo Wang, Yu Qiao, Fuchun Sun
Rethinking Mutual Information for Language Conditioned Skill Discovery on Imitation Learning. CoRR (2024)
Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. ACL (Findings) (2024)
Chenyu Yang, Xizhou Zhu, Jinguo Zhu, Weijie Su, Junjie Wang, Xuan Dong, Wenhai Wang, Lewei Lu, Bin Li, Jie Zhou, Yu Qiao, Jifeng Dai
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning. CoRR (2024)
Lin Chen, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Jiaqi Wang, Yu Qiao, Dahua Lin, Feng Zhao
Are We on the Right Way for Evaluating Large Vision-Language Models? CoRR (2024)
Yuchen Duan, Weiyun Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, Yu Qiao, Hongsheng Li, Jifeng Dai, Wenhai Wang
Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures. CoRR (2024)
Zhanhui Zhou, Jie Liu, Jing Shao, Xiangyu Yue, Chao Yang, Wanli Ouyang, Yu Qiao
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization. ACL (Findings) (2024)
Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang
UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge. CoRR (2024)
Zhe Chen, Weiyun Wang, Hao Tian, Shenglong Ye, Zhangwei Gao, Erfei Cui, Wenwen Tong, Kongzhi Hu, Jiapeng Luo, Zheng Ma, Ji Ma, Jiaqi Wang, Xiaoyi Dong, Hang Yan, Hewei Guo, Conghui He, Botian Shi, Zhenjiang Jin, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites. CoRR (2024)
Mingye Xu, Zhipeng Zhou, Hongbin Xu, Yu Qiao, Yali Wang
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning. IEEE Trans. Multim. 26 (2024)
Chongjie Si, Xuehui Wang, Xue Yang, Zhengqin Xu, Qingyun Li, Jifeng Dai, Yu Qiao, Xiaokang Yang, Wei Shen
FLoRA: Low-Rank Core Space for N-dimension. CoRR (2024)
Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao
Critic-Guided Decision Transformer for Offline Reinforcement Learning. AAAI (2024)
Yihao Liu, Hengyuan Zhao, Kelvin C. K. Chan, Xintao Wang, Chen Change Loy, Yu Qiao, Chao Dong
Temporally consistent video colorization with deep feature propagation and self-regularization learning. Comput. Vis. Media 10 (2) (2024)
Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving. CoRR (2024)
Zeren Chen, Zhelun Shi, Xiaoya Lu, Lehan He, Sucheng Qian, Haoshu Fang, Zhenfei Yin, Wanli Ouyang, Jing Shao, Yu Qiao, Cewu Lu, Lu Sheng
RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents. CoRR (2024)
Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Mingyu Ding, Ping Luo
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. CoRR (2024)
Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. ICLR (2024)
Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation. ICLR (2024)
Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI. CoRR (2024)
Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. CoRR (2024)
Jingru Yu, Yi Yu, Xuhong Wang, Yilun Lin, Manzhi Yang, Yu Qiao, Fei-Yue Wang
The Shadow of Fraud: The Emerging Danger of AI-powered Social Engineering and its Possible Cure. CoRR (2024)
Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models. ICLR (2024)
Jiantao Qiu, Haijun Lv, Zhenjiang Jin, Rui Wang, Wenchang Ning, Jia Yu, ChaoBin Zhang, Zhenxiang Li, Pei Chu, Yuan Qu, Jin Shi, Lindong Lu, Runyu Peng, Zhiyuan Zeng, Huanze Tang, Zhikai Lei, Jiawei Hong, Keyu Chen, Zhaoye Fei, Ruiliang Xu, Wei Li, Zhongying Tu, Dahua Lin, Yu Qiao, Hang Yan, Conghui He
WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset. CoRR (2024)
Yingqi Liu, Jingwen He, Yihao Liu, Xinqi Lin, Fanghua Yu, Jinfan Hu, Yu Qiao, Chao Dong
AdaptBIR: Adaptive Blind Image Restoration with latent diffusion prior for higher fidelity. Pattern Recognit. 155 (2024)
Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention. ICLR (2024)
Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. CoRR (2024)
Weiyun Wang, Yiming Ren, Haowen Luo, Tiantong Li, Chenxiang Yan, Zhe Chen, Wenhai Wang, Qingyun Li, Lewei Lu, Xizhou Zhu, Yu Qiao, Jifeng Dai
The All-Seeing Project V2: Towards General Relation Comprehension of the Open World. CoRR (2024)
Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye, Zhenjiang Jin, Guanzhou Chen, Yinan He, Zhangwei Gao, Erfei Cui, Jiashuo Yu, Hao Tian, Jiasheng Zhou, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Zhenxiang Li, Pei Chu, Yi Wang, Min Dou, Changyao Tian, Xizhou Zhu, Lewei Lu, Yushi Chen, Junjun He, Zhongying Tu, Tong Lu, Yali Wang, Limin Wang, Dahua Lin, Yu Qiao, Botian Shi, Conghui He, Jifeng Dai
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text. CoRR (2024)
Yangzhou Liu, Yue Cao, Zhangwei Gao, Weiyun Wang, Zhe Chen, Wenhai Wang, Hao Tian, Lewei Lu, Xizhou Zhu, Tong Lu, Yu Qiao, Jifeng Dai
MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity. CoRR (2024)
Yi Liu, Yu Qiao, Yali Wang
F2S-Net: learning frame-to-segment prediction for online action detection. J. Real Time Image Process. 21 (3) (2024)
Guoxin Chen, Kexin Tang, Chao Yang, Fuying Ye, Yu Qiao, Yiming Qian
SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning. ACL (1) (2024)
Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao
ConditionVideo: Training-Free Condition-Guided Video Generation. AAAI (2024)
Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao
ViLLa: Video Reasoning Segmentation with Large Language Model. CoRR (2024)
Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. ICLR (2024)
Renqiu Xia, Bo Zhang, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Min Dou, Botian Shi, Junchi Yan, Yu Qiao
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning. CoRR (2024)
Wenlong Zhang, Xiaohui Li, Xiangyu Chen, Xiaoyun Zhang, Yu Qiao, Xiao-Ming Wu, Chao Dong
SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution. ICLR (2024)
Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. CoRR (2024)
Wenshuo Peng, Kaipeng Zhang, Yue Yang, Hao Zhang, Yu Qiao
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification. AAAI (2024)
Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li
Generalized Predictive Model for Autonomous Driving. CoRR (2024)
Fanqing Meng, Wenqi Shao, Lixin Luo, Yahong Wang, Yiran Chen, Quanfeng Lu, Yue Yang, Tianshuo Yang, Kaipeng Zhang, Yu Qiao, Ping Luo
PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models. CoRR (2024)
Lingjun Zhang, Xinyuan Chen, Yaohui Wang, Yue Lu, Yu Qiao
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model. AAAI (2024)
Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Songyang Zhang, Haodong Duan, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Zhe Chen, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Kai Chen, Conghui He, Xingcheng Zhang, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD. CoRR (2024)
Hanqing Wang, Jiahe Chen, Wensi Huang, Qingwei Ben, Tai Wang, Boyu Mi, Tao Huang, Siheng Zhao, Yilun Chen, Sizhe Yang, Peizhou Cao, Wenye Yu, Zichao Ye, Jialun Li, Junfeng Long, Zirui Wang, Huiling Wang, Ying Zhao, Zhongying Tu, Yu Qiao, Dahua Lin, Jiangmiao Pang
GRUtopia: Dream General Robots in a City at Scale. CoRR (2024)
Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai
Learning 1D Causal Visual Representation with De-focus Attention Networks. CoRR (2024)
Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo
Align, Adapt and Inject: Audio-Guided Image Generation, Editing and Stylization. ICASSP (2024)
Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Bin Wang, Junchi Yan, Fei Wu, Yu Qiao
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. CoRR (2024)
Yuer Ma, Yi Liu, Limin Wang, Wenxiong Kang, Yu Qiao, Yali Wang
Dual Masked Modeling for Weakly-Supervised Temporal Boundary Discovery. IEEE Trans. Multim. 26 (2024)
Bo Zou, Chao Yang, Yu Qiao, Chengbin Quan, Youjian Zhao
VideoDistill: Language-aware Vision Distillation for Video Question Answering. CoRR (2024)
Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model. CoRR (2024)
Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. CoRR (2024)
Zhelun Shi, Zhipin Wang, Hongxing Fan, Zaibin Zhang, Lijun Li, Yongting Zhang, Zhenfei Yin, Lu Sheng, Yu Qiao, Jing Shao
Assessment of Multimodal Large Language Models in Alignment with Human Values. CoRR (2024)
Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, Ping Luo, Ziwei Liu, Yali Wang, Limin Wang, Yu Qiao
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation. ICLR (2024)
Siran Chen, Yue Ma, Yu Qiao, Yali Wang
M-BEV: Masked BEV Perception for Robust Autonomous Driving. AAAI (2024)
Pan Zhang, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Rui Qian, Lin Chen, Qipeng Guo, Haodong Duan, Bin Wang, Linke Ouyang, Songyang Zhang, Wenwei Zhang, Yining Li, Yang Gao, Peng Sun, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Hang Yan, Conghui He, Xingcheng Zhang, Kai Chen, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output. CoRR (2024)
Siran Chen, Qinglin Xu, Yue Ma, Yu Qiao, Yali Wang
Attentive Snippet Prompting for Video Retrieval. IEEE Trans. Multim. 26 (2024)
Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Jia Zeng, Zhiqi Li, Jiazhi Yang, Hanming Deng, Hao Tian, Enze Xie, Jiangwei Xie, Li Chen, Tianyu Li, Yang Li, Yulu Gao, Xiaosong Jia, Si Liu, Jianping Shi, Dahua Lin, Yu Qiao
Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Zhanhui Zhou, Zhixuan Liu, Jie Liu, Zhichen Dong, Chao Yang, Yu Qiao
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models. CoRR (2024)
Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. ICLR (2024)
Mingfei Han, Yali Wang, Mingjie Li, Xiaojun Chang, Yi Yang, Yu Qiao
Progressive Frame-Proposal Mining for Weakly Supervised Video Object Detection. IEEE Trans. Image Process. 33 (2024)
Shuo Liu, Kaining Ying, Hao Zhang, Yue Yang, Yuqi Lin, Tianle Zhang, Chuanhao Li, Yu Qiao, Ping Luo, Wenqi Shao, Kaipeng Zhang
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models. CoRR (2024)
Yifei Huang, Guo Chen, Jilan Xu, Mingfang Zhang, Lijin Yang, Baoqi Pei, Hongjie Zhang, Lu Dong, Yali Wang, Limin Wang, Yu Qiao
EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World. CoRR (2024)
Zhanhui Zhou, Jie Liu, Zhichen Dong, Jiaheng Liu, Chao Yang, Wanli Ouyang, Yu Qiao
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire! 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. IV (2024)
Kunchang Li, Xinhao Li, Yi Wang, Yinan He, Yali Wang, Limin Wang, Yu Qiao
VideoMamba: State Space Model for Efficient Video Understanding. CoRR (2024)
Lirui Zhao, Tianshuo Yang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Kaipeng Zhang, Rongrong Ji
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model. CoRR (2024)
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
MixStyle Neural Networks for Domain Generalization and Adaptation. Int. J. Comput. Vis. 132 (3) (2024)
Jiannan Wu, Muyan Zhong, Sen Xing, Zeqiang Lai, Zhaoyang Liu, Wenhai Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, Ping Luo, Yu Qiao, Jifeng Dai
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks. CoRR (2024)
Xuhong Wang, Haoyu Jiang, Yi Yu, Jingru Yu, Yilun Lin, Ping Yi, Yingchun Wang, Yu Qiao, Li Li, Fei-Yue Wang
Building Intelligence Identification System via Large Language Model Watermarking: A Survey and Beyond. CoRR (2024)
Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Yu Qiao, Wai Lam, Lizhuang Ma
Exploring Safety Generalization Challenges of Large Language Models via Code. CoRR (2024)
Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Jilan Xu, Zun Wang, Yansong Shi, Tianxiang Jiang, Songze Li, Hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang
InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding. CoRR (2024)
Yan Ma, Yu Qiao, Pengfei Liu
MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation. ACL (1) (2024)

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Publication Activity (10 Years)

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Yu Qiao