Search Results - "Tang, Shixiang"

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  1. 1

    Morphology selection kinetics of crystallization in a sphere by Chen, Yanshuang, Yao, Zhenwei, Tang, Shixiang, Tong, Hua, Yanagishima, Taiki, Tanaka, Hajime, Tan, Peng

    Published in Nature physics (01-01-2021)
    “…Crystallization under geometrical confinement is of fundamental importance in condensed matter physics, biophysics and material science. Even the influence of…”
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    Journal Article
  2. 2

    Fast crystal growth at ultra-low temperatures by Gao, Qiong, Ai, Jingdong, Tang, Shixiang, Li, Minhuan, Chen, Yanshuang, Huang, Jiping, Tong, Hua, Xu, Lei, Xu, Limei, Tanaka, Hajime, Tan, Peng

    Published in Nature materials (01-10-2021)
    “…It is believed that the slow liquid diffusion and geometric frustration brought by a rapid, deep quench inhibit fast crystallization and promote vitrification…”
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  3. 3

    Achieving adjustable elasticity with non-affine to affine transition by Shen, Xiangying, Fang, Chenchao, Jin, Zhipeng, Tong, Hua, Tang, Shixiang, Shen, Hongchuan, Xu, Ning, Lo, Jack Hau Yung, Xu, Xinliang, Xu, Lei

    Published in Nature materials (01-12-2021)
    “…For various engineering and industrial applications it is desirable to realize mechanical systems with broadly adjustable elasticity to respond flexibly to the…”
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    Journal Article
  4. 4

    Feature Erasing and Diffusion Network for Occluded Person Re-Identification by Wang, Zhikang, Zhu, Feng, Tang, Shixiang, Zhao, Rui, He, Lihuo, Song, Jiangning

    “…Occluded person re-identification (ReID) aims at matching occluded person images to holistic ones across different camera views. Target Pedestrians (TP) are…”
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    Conference Proceeding
  5. 5

    Complementary Relation Contrastive Distillation by Zhu, Jinguo, Tang, Shixiang, Chen, Dapeng, Yu, Shijie, Liu, Yakun, Rong, Mingzhe, Yang, Aijun, Wang, Xiaohua

    “…Knowledge distillation aims to transfer representation ability from a teacher model to a student model. Previous approaches focus on either individual…”
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    Conference Proceeding
  6. 6

    Adept: Annotation-denoising auxiliary tasks with discrete cosine transform map and keypoint for human-centric pretraining by He, Weizhen, Yan, Yunfeng, Tang, Shixiang, Deng, Yiheng, Zhong, Yangyang, Luo, Pengxin, Qi, Donglian

    Published in Neurocomputing (Amsterdam) (14-01-2025)
    “…Human-centric perception is the core of diverse computer vision tasks and has been a long-standing research focus. However, previous research studied these…”
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    Journal Article
  7. 7

    Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification by Zheng, Yi, Tang, Shixiang, Teng, Guolong, Ge, Yixiao, Liu, Kaijian, Qin, Jing, Qi, Donglian, Chen, Dapeng

    “…Adaptive person re-identification (adaptive ReID) targets at transferring learned knowledge from the labeled source domain to the unlabeled target domain…”
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    Conference Proceeding
  8. 8

    Layerwise Optimization by Gradient Decomposition for Continual Learning by Tang, Shixiang, Chen, Dapeng, Zhu, Jinguo, Yu, Shijie, Ouyang, Wanli

    “…Deep neural networks achieve state-of-the-art and sometimes super-human performance across various domains. However, when learning tasks sequentially, the…”
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    Conference Proceeding
  9. 9

    Relation-Aware Distribution Representation Network for Person Clustering With Multiple Modalities by Liu, Kaijian, Tang, Shixiang, Li, Ziyue, Li, Zhishuai, Bai, Lei, Zhu, Feng, Zhao, Rui

    Published in IEEE transactions on multimedia (01-01-2024)
    “…Person clustering with multi-modal clues, including faces, bodies, and voices, is critical for various tasks, such as movie parsing and identity-based movie…”
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    Journal Article
  10. 10

    Revisiting the Transferability of Supervised Pretraining: an MLP Perspective by Wang, Yizhou, Tang, Shixiang, Zhu, Feng, Bai, Lei, Zhao, Rui, Qi, Donglian, Ouyang, Wanli

    “…The pretrain-finetune paradigm is a classical pipeline in visual learning. Recent progress on unsupervised pretraining methods shows superior transfer…”
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    Conference Proceeding
  11. 11

    Mutual CRF-GNN for Few-shot Learning by Tang, Shixiang, Chen, Dapeng, Bai, Lei, Liu, Kaijian, Ge, Yixiao, Ouyang, Wanli

    “…Graph-neural-networks (GNN) is a rising trend for fewshot learning. A critical component in GNN is the affinity. Typically, affinity in GNN is mainly computed…”
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    Conference Proceeding
  12. 12

    Firms’ value impact of C2M mode empowered by big data based on event study by Li, Bo, Xing, Ruxiao, Guo, Wenya, Tang, Shixiang

    Published in Nankai business review international (23-11-2023)
    “…Purpose This study aims to analyze and discuss whether and how consumer-to-manufacturer (C2M) mode empowered by e-commerce retail platforms’ big data affects…”
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    Journal Article
  13. 13

    Continual Representation Learning for Biometric Identification by Zhao, Bo, Tang, Shixiang, Chen, Dapeng, Bilen, Hakan, Zhao, Rui

    “…With the explosion of digital data in recent years, continuously learning new tasks from a stream of data without forgetting previously acquired knowledge has…”
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    Conference Proceeding
  14. 14

    Trust Your Partner's Friends: Hierarchical Cross-Modal Contrastive Pre-Training for Video-Text Retrieval by Xiang, Yuhan, Liu, Kaijian, Tang, Shixiang, Bai, Lei, Zhu, Feng, Zhao, Rui, Lin, Xianming

    “…Video-text retrieval has greatly benefited from the massive web video in recent years, while the performance is still limited to the weak supervision from the…”
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    Conference Proceeding
  15. 15

    UniHCP: A Unified Model for Human-Centric Perceptions by Ci, Yuanzheng, Wang, Yizhou, Chen, Meilin, Tang, Shixiang, Bai, Lei, Zhu, Feng, Zhao, Rui, Yu, Fengwei, Qi, Donglian, Ouyang, Wanli

    “…Human-centric perceptions (e.g., pose estimation, human parsing, pedestrian detection, person re-identification, etc.) play a key role in industrial…”
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    Conference Proceeding
  16. 16

    HumanBench: Towards General Human-Centric Perception with Projector Assisted Pretraining by Tang, Shixiang, Chen, Cheng, Xie, Qingsong, Chen, Meilin, Wang, Yizhou, Ci, Yuanzheng, Bai, Lei, Zhu, Feng, Yang, Haiyang, Yi, Li, Zhao, Rui, Ouyang, Wanli

    “…Human-centric perceptions include a variety of vision tasks, which have widespread industrial applications, including surveillance, autonomous driving, and the…”
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    Conference Proceeding
  17. 17

    Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation by Su, Haoyang, Chen, Renqi, Tang, Shixiang, Zheng, Xinzhe, Li, Jingzhe, Yin, Zhenfei, Ouyang, Wanli, Dong, Nanqing

    Published 12-10-2024
    “…The rapid advancement of scientific progress requires innovative tools that can accelerate discovery. While recent AI methods, particularly large language…”
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    Journal Article
  18. 18

    DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics by Luo, Dongyu, Wu, Jianyu, Wang, Jing, Xie, Hairun, Yue, Xiangyu, Tang, Shixiang

    Published 20-09-2024
    “…We showcase the plain diffusion models with Transformers are effective predictors of fluid dynamics under various working conditions, e.g., Darcy flow and high…”
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    Journal Article
  19. 19

    LEAD: Exploring Logit Space Evolution for Model Selection by Hu, Zixuan, Li, Xiaotong, Tang, Shixiang, Liu, Jun, Hu, Yichun, Duan, Ling-Yu

    “…The remarkable success of "pretrain-then-finetune" paradigm has led to a proliferation of available pre-trained models for vision tasks. This surge presents a…”
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    Conference Proceeding
  20. 20

    DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM by Wu, Yixuan, Wang, Yizhou, Tang, Shixiang, Wu, Wenhao, He, Tong, Ouyang, Wanli, Torr, Philip, Wu, Jian

    Published 19-03-2024
    “…We present DetToolChain, a novel prompting paradigm, to unleash the zero-shot object detection ability of multimodal large language models (MLLMs), such as…”
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    Journal Article