Jianyang Gu

Orcid: 0000-0002-4060-7427

According to our database1, Jianyang Gu authored at least 31 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Dynamic gradient reactivation for backward compatible person re-identification.
Pattern Recognit., February, 2024

Technical Report for ActivityNet Challenge 2022 - Temporal Action Localization.
CoRR, 2024

CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation.
CoRR, 2024

Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning.
CoRR, 2024

Group Distributionally Robust Dataset Distillation with Risk Minimization.
CoRR, 2024

InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring the Impact of Dataset Bias on Dataset Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Efficient Dataset Distillation via Minimax Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Summarizing Stream Data for Memory-Constrained Online Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
3D-Guided Frontal Face Generation for Pose-Invariant Recognition.
ACM Trans. Intell. Syst. Technol., April, 2023

Transformer-Based Domain-Specific Representation for Unsupervised Domain Adaptive Vehicle Re-Identification.
IEEE Trans. Intell. Transp. Syst., March, 2023

DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching.
CoRR, 2023

Can pre-trained models assist in dataset distillation?
CoRR, 2023

Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification.
CoRR, 2023

Summarizing Stream Data for Memory-Restricted Online Continual Learning.
CoRR, 2023

InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning.
CoRR, 2023

DiM: Distilling Dataset into Generative Model.
CoRR, 2023

Dataset Quantization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DREAM: Efficient Dataset Distillation by Representative Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Multi-View Evolutionary Training for Unsupervised Domain Adaptive Person Re-Identification.
IEEE Trans. Inf. Forensics Secur., 2022

SFGN: Representing the sequence with one super frame for video person re-identification.
Knowl. Based Syst., 2022

SEAL: A Large-scale Video Dataset of Multi-grained Spatio-temporally Action Localization.
CoRR, 2022


MV-TAL: Mulit-view Temporal Action Localization in Naturalistic Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
An efficient global representation constrained by Angular Triplet loss for vehicle re-identification.
Pattern Anal. Appl., 2021

An Empirical Study of Vehicle Re-Identification on the AI City Challenge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
A Strong Baseline and Batch Normalization Neck for Deep Person Re-Identification.
IEEE Trans. Multim., 2020

1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification.
CoRR, 2020

2019
ZJUNlict Extended Team Description Paper for RoboCup 2019.
CoRR, 2019

2018
RoboCup SSL 2018 Champion Team Paper.
Proceedings of the RoboCup 2018: Robot World Cup XXII [Montreal, 2018


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