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2020 – today
- 2024
[c29]Zhaoyang Zhang, Wenqi Shao, Yixiao Ge, Xiaogang Wang, Jinwei Gu, Ping Luo:
Cached Transformers: Improving Transformers with Differentiable Memory Cachde. AAAI 2024: 16935-16943- [c28]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: 7775-7803 - [c27]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. CVPR 2024: 6390-6399 - [c26]Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo:
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM. CVPR 2024: 22170-22183 - [c25]Ziyi Lin, Dongyang Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Yu Qiao, Hongsheng Li:
SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models. ECCV (62) 2024: 36-55 - [c24]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: 3475-3479 - [c23]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 - [c22]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 - [c21]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 - [c20]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. ICML 2024 - [c19]Dongyang Liu, Renrui Zhang, 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, Yu Qiao, Hongsheng Li, Peng Gao:
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. ICML 2024 - [c18]Yue Yang, Yuqi Lin, Hong Liu, Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo:
Position: Towards Implicit Prompt For Text-To-Image Models. ICML 2024 - [c17]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. ICML 2024 - [i57]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 abs/2401.02384 (2024) - [i56]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 abs/2402.04924 (2024) - [i55]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 abs/2402.05935 (2024) - [i54]Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo:
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM. CoRR abs/2402.09181 (2024) - [i53]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 abs/2402.14623 (2024) - [i52]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 abs/2402.16117 (2024) - [i51]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 abs/2402.16880 (2024) - [i50]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 abs/2403.02118 (2024) - [i49]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 abs/2403.09346 (2024) - [i48]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 abs/2403.20194 (2024) - [i47]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 abs/2404.01342 (2024) - [i46]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 abs/2404.06773 (2024) - [i45]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 abs/2404.16006 (2024) - [i44]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 abs/2405.05945 (2024) - [i43]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 abs/2405.14554 (2024) - [i42]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 abs/2406.07230 (2024) - [i41]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 abs/2406.08451 (2024) - [i40]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 abs/2406.08845 (2024) - [i39]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 abs/2406.11802 (2024) - [i38]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 abs/2407.11062 (2024) - [i37]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 abs/2407.16982 (2024) - [i36]Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao:
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models. CoRR abs/2408.02718 (2024) - [i35]Mengkang Hu, Tianxing Chen, Qiguang Chen, Yao Mu, Wenqi Shao, Ping Luo:
HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model. CoRR abs/2408.09559 (2024) - [i34]Yangyang Xu, Wenqi Shao, Yong Du, Haiming Zhu, Yang Zhou, Ping Luo, Shengfeng He:
Task-Oriented Diffusion Inversion for High-Fidelity Text-based Editing. CoRR abs/2408.13395 (2024) - [i33]Hao Zhang, Yongqiang Ma, Wenqi Shao, Ping Luo, Nanning Zheng, Kaipeng Zhang:
HRVMamba: High-Resolution Visual State Space Model for Dense Prediction. CoRR abs/2410.03174 (2024) - [i32]Mengzhao Chen, Yi Liu, Jiahao Wang, Yi Bin, Wenqi Shao, Ping Luo:
PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs. CoRR abs/2410.05265 (2024) - [i31]Fanqing Meng, Jiaqi Liao, Xinyu Tan, Wenqi Shao, Quanfeng Lu, Kaipeng Zhang, Yu Cheng, Dianqi Li, Yu Qiao, Ping Luo:
Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation. CoRR abs/2410.05363 (2024) - [i30]Peng Xu, Wenqi Shao, Mingyu Ding, Ping Luo:
DCP: Learning Accelerator Dataflow for Neural Network via Propagation. CoRR abs/2410.06553 (2024) - [i29]Yefei He, Feng Chen, Jing Liu, Wenqi Shao, Hong Zhou, Kaipeng Zhang, Bohan Zhuang:
ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification and KV Cache Compression. CoRR abs/2410.08584 (2024) - [i28]Yue Yang, Shuibai Zhang, Wenqi Shao, Kaipeng Zhang, Yi Bin, Yu Wang, Ping Luo:
Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping. CoRR abs/2410.08695 (2024) - 2023
- [c16]Zhaoyang Zhang, Yitong Jiang, Wenqi Shao, Xiaogang Wang, Ping Luo, Kaimo Lin, Jinwei Gu:
Real-Time Controllable Denoising for Image and Video. CVPR 2023: 14028-14038 - [c15]Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo:
Beyond One-to-One: Rethinking the Referring Image Segmentation. ICCV 2023: 4044-4054 - [c14]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: 17118-17128 - [c13]Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo:
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. ICLR 2023 - [c12]Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo:
Foundation Model is Efficient Multimodal Multitask Model Selector. NeurIPS 2023 - [i27]Zhaoyang Zhang, Yitong Jiang, Wenqi Shao, Xiaogang Wang, Ping Luo, Kaimo Lin, Jinwei Gu:
Real-time Controllable Denoising for Image and Video. CoRR abs/2303.16425 (2023) - [i26]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 abs/2305.17997 (2023) - [i25]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 abs/2306.09265 (2023) - [i24]Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo:
Align, Adapt and Inject: Sound-guided Unified Image Generation. CoRR abs/2306.11504 (2023) - [i23]Shilong Zhang, Peize Sun, Shoufa Chen, Min Xiao, Wenqi Shao, Wenwei Zhang, Kai Chen, Ping Luo:
GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest. CoRR abs/2307.03601 (2023) - [i22]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 abs/2308.03729 (2023) - [i21]Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo:
Foundation Model is Efficient Multimodal Multitask Model Selector. CoRR abs/2308.06262 (2023) - [i20]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 abs/2308.13137 (2023) - [i19]Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo:
Beyond One-to-One: Rethinking the Referring Image Segmentation. CoRR abs/2308.13853 (2023) - [i18]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 abs/2309.03905 (2023) - [i17]Xiangchao Yan, Runjian Chen, Bo Zhang, Jiakang Yuan, Xinyu Cai, Botian Shi, Wenqi Shao, Junchi Yan, Ping Luo, Yu Qiao:
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving. CoRR abs/2309.10527 (2023) - [i16]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 abs/2310.05056 (2023) - [i15]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. CoRR abs/2310.08582 (2023) - [i14]Ziyi Lin, Chris Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Chen Lin, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Hongsheng Li, Yu Qiao:
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models. CoRR abs/2311.07575 (2023) - [i13]Yangyang Xu, Shengfeng He, Wenqi Shao, Kwan-Yee K. Wong, Yu Qiao, Ping Luo:
DiffusionMat: Alpha Matting as Sequential Refinement Learning. CoRR abs/2311.13535 (2023) - [i12]Yanqing Liu, Kai Wang, Wenqi Shao, Ping Luo, Yu Qiao, Mike Zheng Shou, Kaipeng Zhang, Yang You:
MLLMs-Augmented Visual-Language Representation Learning. CoRR abs/2311.18765 (2023) - [i11]Zhaoyang Zhang, Wenqi Shao, Yixiao Ge, Xiaogang Wang, Jinwei Gu, Ping Luo:
Cached Transformers: Improving Transformers with Differentiable Memory Cache. CoRR abs/2312.12742 (2023) - 2022
- [c11]Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang, Xiaogang Wang
, Ying Shan, Ping Luo:
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space. ECCV (34) 2022: 286-302 - [c10]Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo:
Dynamic Token Normalization improves Vision Transformers. ICLR 2022 - [i10]Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Zhenguo Li, Ping Luo:
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. CoRR abs/2206.04028 (2022) - [i9]Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo:
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space. CoRR abs/2207.03036 (2022) - 2021
- [c9]Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, Ping Luo:
What Makes for End-to-End Object Detection? ICML 2021: 9934-9944 - [c8]Zhaoyang Zhang, Wenqi Shao, Jinwei Gu, Xiaogang Wang, Ping Luo:
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. ICML 2021: 12546-12556 - [c7]Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo:
Rethinking the Pruning Criteria for Convolutional Neural Network. NeurIPS 2021: 16305-16318 - [i8]Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo:
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening. CoRR abs/2105.06423 (2021) - [i7]Zhaoyang Zhang, Wenqi Shao, Jinwei Gu, Xiaogang Wang, Ping Luo:
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. CoRR abs/2106.02295 (2021) - [i6]Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo:
Dynamic Token Normalization Improves Vision Transformer. CoRR abs/2112.02624 (2021) - 2020
- [j1]Wenqi Shao, Jingyu Li, Jiamin Ren, Ruimao Zhang, Xiaogang Wang, Ping Luo:
SSN: Learning Sparse Switchable Normalization via SparsestMax. Int. J. Comput. Vis. 128(8): 2107-2125 (2020) - [c6]Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo:
Channel Equilibrium Networks for Learning Deep Representation. ICML 2020: 8645-8654 - [i5]Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo:
Channel Equilibrium Networks for Learning Deep Representation. CoRR abs/2003.00214 (2020)
2010 – 2019
- 2019
- [c5]Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wayne Zhang, Zheng Lu:
Learning Efficient Detector with Semi-supervised Adaptive Distillation. BMVC 2019: 215 - [c4]Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo:
SSN: Learning Sparse Switchable Normalization via SparsestMax. CVPR 2019: 443-451 - [c3]Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo:
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. ICCV 2019: 3541-3550 - [c2]Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng:
Towards Understanding Regularization in Batch Normalization. ICLR (Poster) 2019 - [c1]Ping Luo, Zhanglin Peng, Wenqi Shao, Ruimao Zhang, Jiamin Ren, Lingyun Wu:
Differentiable Dynamic Normalization for Learning Deep Representation. ICML 2019: 4203-4211 - [i4]Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wei Zhang, Yimin Chen:
Learning Efficient Detector with Semi-supervised Adaptive Distillation. CoRR abs/1901.00366 (2019) - [i3]Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo:
SSN: Learning Sparse Switchable Normalization via SparsestMax. CoRR abs/1903.03793 (2019) - [i2]Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo:
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. CoRR abs/1908.05867 (2019) - 2018
- [i1]Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng:
Towards Understanding Regularization in Batch Normalization. CoRR abs/1809.00846 (2018)
Coauthor Index
[c28] [c27] [c26] [c24] [c23] [c22] [c21] [c20] [c18] [c17] [i57] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i28] [c15] [c14] [c13] [c12] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i17] [i16] [i15] [i13] [i12] [c11] [c10] [i10] [i9] [c9] [c8] [c7] [i8] [i7] [i6] [j1] [c6] [i5] [c4] [c3] [c2] [c1] [i3] [i2] [i1]
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