Daquan Zhou

According to our database, Daquan Zhou authored at least 47 papers between 2019 and 2024.

Collaborative distances:

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

2024

LVD-2M: A Long-take Video Dataset with Temporally Dense Captions.

Tianwei Xiong, Yuqing Wang, Daquan Zhou, Zhijie Lin, Jiashi Feng, Xihui Liu

CoRR, 2024

Loong: Generating Minute-level Long Videos with Autoregressive Language Models.

Yuqing Wang, Tianwei Xiong, Daquan Zhou, Zhijie Lin, Yang Zhao, Bingyi Kang, Jiashi Feng, Xihui Liu

CoRR, 2024

StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation.

Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou

CoRR, 2024

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning.

Lin Xu, Yilin Zhao, Daquan Zhou, Zhijie Lin, See-Kiong Ng, Jiashi Feng

CoRR, 2024

Chain of Thought Explanation for Dialogue State Tracking.

Lin Xu, Ningxin Peng, Daquan Zhou, See-Kiong Ng, Jinlan Fu

CoRR, 2024

Sora Generates Videos with Stunning Geometrical Consistency.

Xuan-Yi Li, Daquan Zhou, Chenxu Zhang, Shaodong Wei, Qibin Hou, Ming-Ming Cheng

CoRR, 2024

Magic-Me: Identity-Specific Video Customized Diffusion.

Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng

CoRR, 2024

MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation.

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

CoRR, 2024

InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning.

Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Zhaopan Xu, Daquan Zhou, Lei Shang, Baigui Sun, Xuansong Xie, Yang You

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration.

Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

EPIM: Efficient Processing-In-Memory Accelerators based on Epitome.

Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought.

Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang

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

2023

Token Selection is a Simple Booster for Vision Transformers.

Daquan Zhou, Qibin Hou, Linjie Yang, Xiaojie Jin, Jiashi Feng

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost.

Haolin Qin, Daquan Zhou, Tingfa Xu, Ziyang Bian, Jianan Li

CoRR, 2023

ChatAnything: Facetime Chat with LLM-Enhanced Personas.

Yilin Zhao, Xinbin Yuan, Shanghua Gao, Zhijie Lin, Qibin Hou, Jiashi Feng, Daquan Zhou

CoRR, 2023

Low-Resolution Self-Attention for Semantic Segmentation.

Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen

CoRR, 2023

MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask.

Yupeng Zhou, Daquan Zhou, Zuo-Liang Zhu, Yaxing Wang, Qibin Hou, Jiashi Feng

CoRR, 2023

BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs.

Yang Zhao, Zhijie Lin, Daquan Zhou, Zilong Huang, Jiashi Feng, Bingyi Kang

CoRR, 2023

InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning.

Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Daquan Zhou, Yang You

CoRR, 2023

DiM: Distilling Dataset into Generative Model.

Kai Wang, Jianyang Gu, Daquan Zhou, Zheng Zhu, Wei Jiang, Yang You

CoRR, 2023

Expanding Small-Scale Datasets with Guided Imagination.

Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng

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

PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient.

Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2023

Dataset Quantization.

Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng

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

DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning.

Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li

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

Diffusion Probabilistic Model Made Slim.

Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang

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

2022

Velocity-to-velocity human motion forecasting.

Hongsong Wang, Liang Wang, Jiashi Feng, Daquan Zhou

Pattern Recognit., 2022

Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks.

Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan

IEEE Trans. Pattern Anal. Mach. Intell., 2022

MagicVideo: Efficient Video Generation With Latent Diffusion Models.

Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng

CoRR, 2022

MagicMix: Semantic Mixing with Diffusion Models.

Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng

CoRR, 2022

M²BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation.

Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, José M. Álvarez

CoRR, 2022

Deep Model Reassembly.

Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang

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

Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning.

Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang

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

Sharpness-Aware Training for Free.

Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou

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

Understanding The Robustness in Vision Transformers.

Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, José M. Álvarez

Proceedings of the International Conference on Machine Learning, 2022

Shunted Self-Attention via Multi-Scale Token Aggregation.

Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang

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

2021

Refiner: Refining Self-attention for Vision Transformers.

Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Li Yuan, Xiaojie Jin, Qibin Hou, Jiashi Feng

CoRR, 2021

Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet.

Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Xiaojie Jin, Anran Wang, Jiashi Feng

CoRR, 2021

DeepViT: Towards Deeper Vision Transformer.

Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng

CoRR, 2021

All Tokens Matter: Token Labeling for Training Better Vision Transformers.

Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng

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

AutoSpace: Neural Architecture Search with Less Human Interference.

Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng

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

Coordinate Attention for Efficient Mobile Network Design.

Qibin Hou, Daquan Zhou, Jiashi Feng

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

2020

Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks.

Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan

CoRR, 2020

ConvBERT: Improving BERT with Span-based Dynamic Convolution.

Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan

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

Neural Epitome Search for Architecture-Agnostic Network Compression.

Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng

Proceedings of the 8th International Conference on Learning Representations, 2020

Rethinking Bottleneck Structure for Efficient Mobile Network Design.

Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep Model Compression via Filter Auto-sampling.

Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng

CoRR, 2019

PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment.

Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng

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