Kaipeng Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 68

Top Topics

Convolutional Neural Network

Comprehensive Evaluation

Image Generation

Face Hallucination

Top Venues

Publications

Wenshuo Peng, Kaipeng Zhang, Yue Yang, Hao Zhang, Yu Qiao
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification. 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)
Tianle Zhang, Yuchen Zhang, Kun Wang, Kai Wang, Beining Yang, Kaipeng Zhang, Wenqi Shao, Ping Liu, Joey Tianyi Zhou, Yang You
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching. CoRR (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)
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)
Kaipeng Zhang, Yoichi Sato
Semantic Image Segmentation by Dynamic Discriminative Prototypes. IEEE Trans. Multim. 26 (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)
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)
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)
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)
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)
Jiahao Wang, Wenqi Shao, Mengzhao Chen, Chengyue Wu, Yong Liu, Kaipeng Zhang, Songyang Zhang, Kai Chen, Ping Luo
Adapting LLaMA Decoder to Vision Transformer. CoRR (2024)
Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang, Yang You
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching. ICLR (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)
Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. AAAI (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)
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)
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)
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)
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)
Hao Zhang, Yongqiang Ma, Kaipeng Zhang, Nanning Zheng, Shenqi Lai
FMGNet: An efficient feature-multiplex group network for real-time vision task. Pattern Recognit. 156 (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)
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)
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)
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)
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)
Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Lirui Zhao, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Xiangyang Zhu, Si Liu, Xiangyu Yue, Dingning Liu, Wanli Ouyang, Ziwei Liu, Yu Qiao, Hongsheng Li, Peng Gao
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT. CoRR (2024)
Hao Zhang, Yujie Dun, Yixuan Pei, Shenqi Lai, Chengxu Liu, Kaipeng Zhang, Xueming Qian
HF-HRNet: A Simple Hardware Friendly High-Resolution Network. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (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)
Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Kaipeng Zhang, Wei Jiang, Yang You
DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching. CoRR (2023)
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. CoRR (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)
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)
Yiyuan Zhang, Kaixiong Gong, Xiaohan Ding, Kaipeng Zhang, Fangrui Lv, Kurt Keutzer, Xiangyu Yue
Towards Unified and Effective Domain Generalization. CoRR (2023)
Jiaming Han, Renrui Zhang, Wenqi Shao, Peng Gao, Peng Xu, Han Xiao, Kaipeng Zhang, Chris Liu, Song Wen, Ziyu Guo, Xudong Lu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Xiangyu Yue, Hongsheng Li, Yu Qiao
ImageBind-LLM: Multi-modality Instruction Tuning. CoRR (2023)
Yanqing Liu, Kai Wang, Wenqi Shao, Ping Luo, Yu Qiao, Mike Zheng Shou, Kaipeng Zhang, Yang You
MLLMs-Augmented Visual-Language Representation Learning. CoRR (2023)
Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. ICCV (2023)
Hao Zhang, Kaipeng Zhang, Lumin Xu, Shenqi Lai, Wenqi Shao, Nanning Zheng, Ping Luo, Yu Qiao
Language-driven Open-Vocabulary Keypoint Detection for Animal Body and Face. CoRR (2023)
Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. CoRR (2023)
Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo
Foundation Model is Efficient Multimodal Multitask Model Selector. CoRR (2023)
Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo
Foundation Model is Efficient Multimodal Multitask Model Selector. NeurIPS (2023)
Yiyuan Zhang, Kaixiong Gong, Kaipeng Zhang, Hongsheng Li, Yu Qiao, Wanli Ouyang, Xiangyu Yue
Meta-Transformer: A Unified Framework for Multimodal Learning. CoRR (2023)
Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang, Yang You
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching. CoRR (2023)
Shenqi Lai, Xi Du, Jia Guo, Kaipeng Zhang
RaMLP: Vision MLP via Region-aware Mixing. IJCAI (2023)
Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo
Align, Adapt and Inject: Sound-guided Unified Image Generation. CoRR (2023)
Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training. CoRR (2023)
Kaipeng Zhang, Zhenqiang Li, Zhifeng Li, Wei Liu, Yoichi Sato
Neural Routing by Memory. NeurIPS (2021)
Kaipeng Zhang, Ning Liu, Gao Wang
A Dual-Thread Method for Time-Optimal Trajectory Planning in Joint Space Based on Improved NGA. J. Robotics 2020 (2020)
Zhanpeng Zhang, Kaipeng Zhang
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution. ICRA (2020)
Zhanpeng Zhang, Kaipeng Zhang
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution. CoRR (2020)
Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. ICMI (2019)
Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. CoRR (2019)
Yandong Wen, Kaipeng Zhang, Zhifeng Li, Yu Qiao
A Comprehensive Study on Center Loss for Deep Face Recognition. Int. J. Comput. Vis. 127 (6-7) (2019)
Da Guo, Kai Wang, Jianfei Yang, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao
Exploring Regularizations with Face, Body and Image Cues for Group Cohesion Prediction. ICMI (2019)
Cheng-Han Lee, Kaipeng Zhang, Hu-Cheng Lee, Chia-Wen Cheng, Winston H. Hsu
Attribute Augmented Convolutional Neural Network for Face Hallucination. CVPR Workshops (2018)
Chao-Te Chou, Cheng-Han Lee, Kaipeng Zhang, Hu-Cheng Lee, Winston H. Hsu
PIVTONS: Pose Invariant Virtual Try-On Shoe with Conditional Image Completion. ACCV (6) (2018)
Kaipeng Zhang, Zhanpeng Zhang, Chia-Wen Cheng, Winston H. Hsu, Yu Qiao, Wei Liu, Tong Zhang
Super-Identity Convolutional Neural Network for Face Hallucination. CoRR (2018)
Kaipeng Zhang, Zhanpeng Zhang, Chia-Wen Cheng, Winston H. Hsu, Yu Qiao, Wei Liu, Tong Zhang
Super-Identity Convolutional Neural Network for Face Hallucination. ECCV (11) (2018)
Kai Wang, Xiaoxing Zeng, Jianfei Yang, Debin Meng, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao
Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues. ICMI (2018)
Kaipeng Zhang, Ya-Liang Chang, Winston H. Hsu
Deep Disguised Faces Recognition. CVPR Workshops (2018)
Kaipeng Zhang, Zhanpeng Zhang, Hao Wang, Zhifeng Li, Yu Qiao, Wei Liu
Detecting Faces Using Inside Cascaded Contextual CNN. ICCV (2017)
Lianzhi Tan, Kaipeng Zhang, Kai Wang, Xiaoxing Zeng, Xiaojiang Peng, Yu Qiao
Group emotion recognition with individual facial emotion CNNs and global image based CNNs. ICMI (2017)
Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, Yu Qiao
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks. IEEE Signal Process. Lett. 23 (10) (2016)
Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, Yu Qiao
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks. CoRR (2016)
Kaipeng Zhang, Lianzhi Tan, Zhifeng Li, Yu Qiao
Gender and Smile Classification Using Deep Convolutional Neural Networks. CVPR Workshops (2016)
Yandong Wen, Kaipeng Zhang, Zhifeng Li, Yu Qiao
A Discriminative Feature Learning Approach for Deep Face Recognition. ECCV (7) (2016)