Search Results - "Tang, Shixiang"
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1
Morphology selection kinetics of crystallization in a sphere
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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2
Fast crystal growth at ultra-low temperatures
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
Achieving adjustable elasticity with non-affine to affine transition
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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4
Feature Erasing and Diffusion Network for Occluded Person Re-Identification
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…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
Complementary Relation Contrastive Distillation
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2021)“…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
Adept: Annotation-denoising auxiliary tasks with discrete cosine transform map and keypoint for human-centric pretraining
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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7
Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification
Published in 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (01-10-2021)“…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
Layerwise Optimization by Gradient Decomposition for Continual Learning
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2021)“…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
Relation-Aware Distribution Representation Network for Person Clustering With Multiple Modalities
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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10
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…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
Mutual CRF-GNN for Few-shot Learning
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2021)“…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
Firms’ value impact of C2M mode empowered by big data based on event study
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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13
Continual Representation Learning for Biometric Identification
Published in 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) (01-01-2021)“…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
Trust Your Partner's Friends: Hierarchical Cross-Modal Contrastive Pre-Training for Video-Text Retrieval
Published in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (04-06-2023)“…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
UniHCP: A Unified Model for Human-Centric Perceptions
Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2023)“…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
HumanBench: Towards General Human-Centric Perception with Projector Assisted Pretraining
Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2023)“…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
Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation
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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18
DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics
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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19
LEAD: Exploring Logit Space Evolution for Model Selection
Published in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (16-06-2024)“…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
DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM
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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