Daquan Zhou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 58

Top Topics

Diffusion Models

Top Venues

Publications

Weimin Wang, Jiawei Liu, Zhijie Lin, Jiangqiao Yan, Shuo Chen, Chetwin Low, Tuyen Hoang, Jie Wu, Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation. CoRR (2024)
Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Zhaopan Xu, Daquan Zhou, Lei Shang, Baigui Sun, Xuansong Xie, Yang You
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning. ICLR (2024)
Lin Xu, Ningxin Peng, Daquan Zhou, See-Kiong Ng, Jinlan Fu
Chain of Thought Explanation for Dialogue State Tracking. CoRR (2024)
Xuan-Yi Li, Daquan Zhou, Chenxu Zhang, Shaodong Wei, Qibin Hou, Ming-Ming Cheng
Sora Generates Videos with Stunning Geometrical Consistency. CoRR (2024)
Lin Xu, Yilin Zhao, Daquan Zhou, Zhijie Lin, See-Kiong Ng, Jiashi Feng
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning. CoRR (2024)
Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng
Magic-Me: Identity-Specific Video Customized Diffusion. CoRR (2024)
Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation. CoRR (2024)
Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen
Low-Resolution Self-Attention for Semantic Segmentation. CoRR (2023)
Yupeng Zhou, Daquan Zhou, Zuo-Liang Zhu, Yaxing Wang, Qibin Hou, Jiashi Feng
MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask. CoRR (2023)
Haolin Qin, Daquan Zhou, Tingfa Xu, Ziyang Bian, Jianan Li
Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost. CoRR (2023)
Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng
Dataset Quantization. ICCV (2023)
Daquan Zhou, Qibin Hou, Linjie Yang, Xiaojie Jin, Jiashi Feng
Token Selection is a Simple Booster for Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning. ICCV (2023)
Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. ICML (2023)
Kai Wang, Jianyang Gu, Daquan Zhou, Zheng Zhu, Wei Jiang, Yang You
DiM: Distilling Dataset into Generative Model. CoRR (2023)
Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng
Dataset Quantization. CoRR (2023)
Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer
EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. CoRR (2023)
Yilin Zhao, Xinbin Yuan, Shanghua Gao, Zhijie Lin, Qibin Hou, Jiashi Feng, Daquan Zhou
ChatAnything: Facetime Chat with LLM-Enhanced Personas. CoRR (2023)
Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning. CoRR (2023)
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
Diffusion Probabilistic Model Made Slim. CVPR (2023)
Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. CoRR (2023)
Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng
Expanding Small-Scale Datasets with Guided Imagination. NeurIPS (2023)
Yang Zhao, Zhijie Lin, Daquan Zhou, Zilong Huang, Jiashi Feng, Bingyi Kang
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs. CoRR (2023)
Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Daquan Zhou, Yang You
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning. CoRR (2023)
Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan
Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
Diffusion Probabilistic Model Made Slim. CoRR (2022)
Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng
Expanding Small-Scale Datasets with Guided Imagination. CoRR (2022)
Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou
Sharpness-Aware Training for Free. CoRR (2022)
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose M. Alvarez
Understanding The Robustness in Vision Transformers. ICML (2022)
Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. NeurIPS (2022)
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
Deep Model Reassembly. NeurIPS (2022)
Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. CoRR (2022)
Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang
Shunted Self-Attention via Multi-Scale Token Aggregation. CVPR (2022)
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, Jose M. Alvarez
Understanding The Robustness in Vision Transformers. CoRR (2022)
Hongsong Wang, Liang Wang, Jiashi Feng, Daquan Zhou
Velocity-to-velocity human motion forecasting. Pattern Recognit. 124 (2022)
Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
MagicVideo: Efficient Video Generation With Latent Diffusion Models. CoRR (2022)
Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Tan, Joey Tianyi Zhou
Sharpness-Aware Training for Free. NeurIPS (2022)
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
Deep Model Reassembly. CoRR (2022)
Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, Jose M. Alvarez
BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation. CoRR (2022)
Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
MagicMix: Semantic Mixing with Diffusion Models. CoRR (2022)
Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng
All Tokens Matter: Token Labeling for Training Better Vision Transformers. NeurIPS (2021)
Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng
AutoSpace: Neural Architecture Search with Less Human Interference. ICCV (2021)
Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang
Shunted Self-Attention via Multi-Scale Token Aggregation. CoRR (2021)
Qibin Hou, Daquan Zhou, Jiashi Feng
Coordinate Attention for Efficient Mobile Network Design. CoRR (2021)
Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng
AutoSpace: Neural Architecture Search with Less Human Interference. CoRR (2021)
Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Xiaojie Jin, Anran Wang, Jiashi Feng
Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet. CoRR (2021)
Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Yuan Li, Xiaojie Jin, Qibin Hou, Jiashi Feng
Refiner: Refining Self-attention for Vision Transformers. CoRR (2021)
Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng
DeepViT: Towards Deeper Vision Transformer. CoRR (2021)
Qibin Hou, Daquan Zhou, Jiashi Feng
Coordinate Attention for Efficient Mobile Network Design. CVPR (2021)
Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. CoRR (2020)
Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
Rethinking Bottleneck Structure for Efficient Mobile Network Design. CoRR (2020)
Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng
Neural Epitome Search for Architecture-Agnostic Network Compression. ICLR (2020)
Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
Rethinking Bottleneck Structure for Efficient Mobile Network Design. ECCV (3) (2020)
Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
ConvBERT: Improving BERT with Span-based Dynamic Convolution. NeurIPS (2020)
Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
ConvBERT: Improving BERT with Span-based Dynamic Convolution. CoRR (2020)
Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng
Deep Model Compression via Filter Auto-sampling. CoRR (2019)
Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. CoRR (2019)
Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. ICCV (2019)