Shixiang Tang

According to our database1, Shixiang Tang authored at least 32 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Zero-Knowledge Proof Vulnerability Analysis and Security Auditing.
IACR Cryptol. ePrint Arch., 2024

DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM.
CoRR, 2024

Agent3D-Zero: An Agent for Zero-shot 3D Understanding.
CoRR, 2024

SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation.
CoRR, 2024

A Comprehensive Survey on 3D Content Generation.
CoRR, 2024

MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Hulk: A Universal Knowledge Translator for Human-Centric Tasks.
CoRR, 2023

UniPAD: A Universal Pre-training Paradigm for Autonomous Driving.
CoRR, 2023

Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities.
CoRR, 2023

MotionGPT: Finetuned LLMs are General-Purpose Motion Generators.
CoRR, 2023

Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions.
CoRR, 2023

HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining.
CoRR, 2023

Saliency Guided Contrastive Learning on Scene Images.
CoRR, 2023

Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Trust Your Partner's Friends: Hierarchical Cross-Modal Contrastive Pre-Training for Video-Text Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2023

HumanBench: Towards General Human-Centric Perception with Projector Assisted Pretraining.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

UniHCP: A Unified Model for Human-Centric Perceptions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains.
Proceedings of the Computer Vision - ECCV 2022, 2022

Relative Contrastive Loss for Unsupervised Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective.
Proceedings of the Computer Vision - ECCV 2022, 2022

Feature Erasing and Diffusion Network for Occluded Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Revisiting the Transferability of Supervised Pretraining: an MLP Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification.
CoRR, 2021

Continual Representation Learning for Biometric Identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Complementary Relation Contrastive Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Layerwise Optimization by Gradient Decomposition for Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Mutual CRF-GNN for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Gradient Regularized Contrastive Learning for Continual Domain Adaptation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Gradient Regularized Contrastive Learning for Continual Domain Adaptation.
CoRR, 2020

Adapting Object Detectors with Conditional Domain Normalization.
Proceedings of the Computer Vision - ECCV 2020, 2020


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