Shaoli Huang

Orcid: 0000-0002-1445-3196

According to our database1, Shaoli Huang authored at least 61 papers between 2010 and 2024.

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Bibliography

2024
Dynamic semantic structure distillation for low-resolution fine-grained recognition.
Pattern Recognit., April, 2024

ProtoSimi: label correction for fine-grained visual categorization.
Mach. Learn., April, 2024

SIAM: A parameter-free, Spatial Intersection Attention Module.
Pattern Recognit., 2024

Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios.
CoRR, 2024

RopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior.
CoRR, 2024

ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model.
CoRR, 2024

CT4D: Consistent Text-to-4D Generation with Animatable Meshes.
CoRR, 2024

GrootVL: Tree Topology is All You Need in State Space Model.
CoRR, 2024

Taming Diffusion Probabilistic Models for Character Control.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

MMR: Multi-scale Motion Retargeting between Skeleton-agnostic Characters.
Proceedings of the International Joint Conference on Neural Networks, 2024

ExpGest: Expressive Speaker Generation Using Diffusion Model and Hybrid Audio-Text Guidance.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

TapMo: Shape-aware Motion Generation of Skeleton-free Characters.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

FreeTalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness.
Proceedings of the IEEE International Conference on Acoustics, 2024

Exploring the Feature Extraction and Relation Modeling For Light-Weight Transformer Tracking.
Proceedings of the Computer Vision - ECCV 2024, 2024

SignAvatars: A Large-Scale 3D Sign Language Holistic Motion Dataset and Benchmark.
Proceedings of the Computer Vision - ECCV 2024, 2024

Realistic Human Motion Generation with Cross-Diffusion Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Programmable Motion Generation for Open-Set Motion Control Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SemanticBoost: Elevating Motion Generation with Augmented Textual Cues.
CoRR, 2023

BoPR: Body-aware Part Regressor for Human Shape and Pose Estimation.
CoRR, 2023

HMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargeting.
CoRR, 2023

T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations.
CoRR, 2023

LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Anchor Transformations for 3D Garment Animation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Harmonious Feature Learning for Interactive Hand-Object Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained Recognition.
IEEE Trans. Multim., 2022

Multi-criteria Selection of Rehearsal Samples for Continual Learning.
Pattern Recognit., 2022

Learning sequentially diversified representations for fine-grained categorization.
Pattern Recognit., 2022

Learning multi-level weight-centric features for few-shot learning.
Pattern Recognit., 2022

FCL-Net: Towards accurate edge detection via Fine-scale Corrective Learning.
Neural Networks, 2022

CEKD: Cross ensemble knowledge distillation for augmented fine-grained data.
Appl. Intell., 2022

Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Geometric Structure Preserving Warp for Natural Image Stitching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
An end-to-end framework for unconstrained monocular 3D hand pose estimation.
Pattern Recognit., 2021

PONet: Robust 3D Human Pose Estimation via Learning Orientations Only.
CoRR, 2021

Structure-Aware Feature Generation for Zero-Shot Learning.
CoRR, 2021

Intra-class Part Swapping for Fine-Grained Image Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Do We Really Need Frame-by-Frame Annotation Datasets for Object Tracking?
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Person Image Synthesis in Arbitrary 3D Poses Based on Part Affinity Fields.
Proceedings of the International Joint Conference on Neural Networks, 2021

Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multi-Order Feature Statistical Model for Fine-Grained Visual Categorization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
An End-to-end Framework for Unconstrained Monocular 3D Hand Pose Estimation.
CoRR, 2019

All you need is a good representation: A multi-level and classifier-centric representation for few-shot learning.
CoRR, 2019

Not All Parts Are Created Equal: 3D Pose Estimation by Modelling Bi-directional Dependencies of Body Parts.
CoRR, 2019

Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Webly-Supervised Fine-Grained Visual Categorization via Deep Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Context Refinement for Object Detection.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Deep representation learning for keypoint localization
PhD thesis, 2017

Friend or Foe: Fine-Grained Categorization With Weak Supervision.
IEEE Trans. Image Process., 2017

DL-61-86 at TRECVID 2017: Video-to-Text Description.
Proceedings of the 2017 TREC Video Retrieval Evaluation, 2017

A Coarse-Fine Network for Keypoint Localization.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Real Time Fine-Grained Categorization with Accuracy and Interpretability.
CoRR, 2016

Part-Stacked CNN for Fine-Grained Visual Categorization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2010
Dimensionality Reduction by Using Sparse Reconstruction Embedding.
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010


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