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2020 – today
- 2024
[c19]Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang:
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought. CVPR 2024: 7027-7037- [c18]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 - [i37]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 abs/2401.04468 (2024) - [i36]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 abs/2402.09368 (2024) - [i35]Xuan-Yi Li, Daquan Zhou, Chenxu Zhang, Shaodong Wei, Qibin Hou, Ming-Ming Cheng:
Sora Generates Videos with Stunning Geometrical Consistency. CoRR abs/2402.17403 (2024) - [i34]Lin Xu, Ningxin Peng, Daquan Zhou, See-Kiong Ng, Jinlan Fu:
Chain of Thought Explanation for Dialogue State Tracking. CoRR abs/2403.04656 (2024) - [i33]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 abs/2404.16994 (2024) - [i32]Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou:
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation. CoRR abs/2405.01434 (2024) - 2023
- [j3]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): 12738-12746 (2023) - [c17]Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Diffusion Probabilistic Model Made Slim. CVPR 2023: 22552-22562 - [c16]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: 4207-4216 - [c15]Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng:
Dataset Quantization. ICCV 2023: 17159-17170 - [c14]Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor:
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. ICML 2023: 36694-36713 - [c13]Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng:
Expanding Small-Scale Datasets with Guided Imagination. NeurIPS 2023 - [i31]Kai Wang, Jianyang Gu, Daquan Zhou, Zheng Zhu, Wei Jiang, Yang You:
DiM: Distilling Dataset into Generative Model. CoRR abs/2303.04707 (2023) - [i30]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 abs/2303.04947 (2023) - [i29]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 abs/2304.06648 (2023) - [i28]Yang Zhao, Zhijie Lin, Daquan Zhou, Zilong Huang, Jiashi Feng, Bingyi Kang:
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs. CoRR abs/2307.08581 (2023) - [i27]Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng:
Dataset Quantization. CoRR abs/2308.10524 (2023) - [i26]Yupeng Zhou, Daquan Zhou, Zuo-Liang Zhu, Yaxing Wang, Qibin Hou, Jiashi Feng:
MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask. CoRR abs/2309.04399 (2023) - [i25]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 abs/2310.05026 (2023) - [i24]Yilin Zhao, Xinbin Yuan, Shanghua Gao, Zhijie Lin, Qibin Hou, Jiashi Feng, Daquan Zhou:
ChatAnything: Facetime Chat with LLM-Enhanced Personas. CoRR abs/2311.06772 (2023) - [i23]Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer:
EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. CoRR abs/2311.07620 (2023) - [i22]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 abs/2311.08562 (2023) - [i21]Haolin Qin, Daquan Zhou, Tingfa Xu, Ziyang Bian, Jianan Li:
Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost. CoRR abs/2312.08614 (2023) - 2022
- [j2]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): 7824-7840 (2022) - [j1]Hongsong Wang, Liang Wang, Jiashi Feng, Daquan Zhou:
Velocity-to-velocity human motion forecasting. Pattern Recognit. 124: 108424 (2022) - [c12]Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. CVPR 2022: 10843-10852 - [c11]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, José M. Álvarez:
Understanding The Robustness in Vision Transformers. ICML 2022: 27378-27394 - [c10]Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou:
Sharpness-Aware Training for Free. NeurIPS 2022 - [c9]Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. NeurIPS 2022 - [c8]Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang:
Deep Model Reassembly. NeurIPS 2022 - [i20]Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, José M. Álvarez:
M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation. CoRR abs/2204.05088 (2022) - [i19]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, José M. Álvarez:
Understanding The Robustness in Vision Transformers. CoRR abs/2204.12451 (2022) - [i18]Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou:
Sharpness-Aware Training for Free. CoRR abs/2205.14083 (2022) - [i17]Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. CoRR abs/2210.08823 (2022) - [i16]Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng:
MagicMix: Semantic Mixing with Diffusion Models. CoRR abs/2210.16056 (2022) - [i15]Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang:
Deep Model Reassembly. CoRR abs/2210.17409 (2022) - [i14]Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng:
MagicVideo: Efficient Video Generation With Latent Diffusion Models. CoRR abs/2211.11018 (2022) - [i13]Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng:
Expanding Small-Scale Datasets with Guided Imagination. CoRR abs/2211.13976 (2022) - [i12]Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Diffusion Probabilistic Model Made Slim. CoRR abs/2211.17106 (2022) - 2021
- [c7]Qibin Hou, Daquan Zhou, Jiashi Feng:
Coordinate Attention for Efficient Mobile Network Design. CVPR 2021: 13713-13722 - [c6]Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng:
AutoSpace: Neural Architecture Search with Less Human Interference. ICCV 2021: 327-336 - [c5]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: 18590-18602 - [i11]Qibin Hou, Daquan Zhou, Jiashi Feng:
Coordinate Attention for Efficient Mobile Network Design. CoRR abs/2103.02907 (2021) - [i10]Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng:
AutoSpace: Neural Architecture Search with Less Human Interference. CoRR abs/2103.11833 (2021) - [i9]Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng:
DeepViT: Towards Deeper Vision Transformer. CoRR abs/2103.11886 (2021) - [i8]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 abs/2104.10858 (2021) - [i7]Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Li Yuan, Xiaojie Jin, Qibin Hou, Jiashi Feng:
Refiner: Refining Self-attention for Vision Transformers. CoRR abs/2106.03714 (2021) - [i6]Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. CoRR abs/2111.15193 (2021) - 2020
- [c4]Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
Rethinking Bottleneck Structure for Efficient Mobile Network Design. ECCV (3) 2020: 680-697 - [c3]Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng:
Neural Epitome Search for Architecture-Agnostic Network Compression. ICLR 2020 - [c2]Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
ConvBERT: Improving BERT with Span-based Dynamic Convolution. NeurIPS 2020 - [i5]Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan:
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. CoRR abs/2007.01204 (2020) - [i4]Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
Rethinking Bottleneck Structure for Efficient Mobile Network Design. CoRR abs/2007.02269 (2020) - [i3]Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
ConvBERT: Improving BERT with Span-based Dynamic Convolution. CoRR abs/2008.02496 (2020)
2010 – 2019
- 2019
- [c1]Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng:
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. ICCV 2019: 9196-9205 - [i2]Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng:
Deep Model Compression via Filter Auto-sampling. CoRR abs/1907.05642 (2019) - [i1]Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng:
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. CoRR abs/1908.06391 (2019)
Coauthor Index
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last updated on 2024-11-05 20:57 CET by the dblp team
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