Jianlong Chang

Orcid: 0000-0002-0610-907X

According to our database1, Jianlong Chang authored at least 49 papers between 2008 and 2024.

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Bibliography

2024
Accurate Fine-Grained Object Recognition with Structure-Driven Relation Graph Networks.
Int. J. Comput. Vis., January, 2024

Structure Aware Multi-Graph Network for Multi-Modal Emotion Recognition in Conversations.
IEEE Trans. Multim., 2024

LION: Implicit Vision Prompt Tuning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Semantic-Guided Information Alignment Network for Fine-Grained Image Recognition.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

When Parameter-efficient Tuning Meets General-purpose Vision-language Models.
CoRR, 2023

Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models.
CoRR, 2023

Mode Approximation Makes Good Multimodal Prompts.
CoRR, 2023

Visual Tuning.
CoRR, 2023

LION: Implicit Vision Prompt Tuning.
CoRR, 2023

Constraint and Union for Partially-Supervised Temporal Sentence Grounding.
CoRR, 2023

Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Parameter-efficient Tuning of Large-scale Multimodal Foundation Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Being Comes from Not-Being: Open-Vocabulary Text-to-Motion Generation with Wordless Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Distilling Vision-Language Pre-Training to Collaborate with Weakly-Supervised Temporal Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fine-Grained Retrieval Prompt Tuning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Decoupled Representation Learning for Character Glyph Synthesis.
IEEE Trans. Multim., 2022

MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2022

SSL++: Improving Self-Supervised Learning by Mitigating the Proxy Task-Specificity Problem.
IEEE Trans. Image Process., 2022

Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap.
ACM Comput. Surv., 2022

OhMG: Zero-shot Open-vocabulary Human Motion Generation.
CoRR, 2022

Towards a Unified View on Visual Parameter-Efficient Transfer Learning.
CoRR, 2022

Prompt-Matched Semantic Segmentation.
CoRR, 2022

Pro-tuning: Unified Prompt Tuning for Vision Tasks.
CoRR, 2022

HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval.
CoRR, 2022

AME: Attention and Memory Enhancement in Hyper-Parameter Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
BiSPL: Bidirectional Self-Paced Learning for Recognition From Web Data.
IEEE Trans. Image Process., 2021

DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

What Is Considered Complete for Visual Recognition?
CoRR, 2021

Differentiable Convolution Search for Point Cloud Processing.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Local-Aggregation Graph Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Deep Self-Evolution Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
CoRR, 2020

Spatio-Temporal Graph Structure Learning for Traffic Forecasting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning graph structure via graph convolutional networks.
Pattern Recognit., 2019

Differentiable Architecture Search with Ensemble Gumbel-Softmax.
CoRR, 2019

Deep Discriminative Clustering Analysis.
CoRR, 2019

DATA: Differentiable ArchiTecture Approximation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Deep unsupervised learning with consistent inference of latent representations.
Pattern Recognit., 2018

Vision-Based Occlusion Handling and Vehicle Classification for Traffic Surveillance Systems.
IEEE Intell. Transp. Syst. Mag., 2018

Structure-Aware Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Kernel-Weighted Graph Convolutional Network: A Deep Learning Approach for Traffic Forecasting.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Deep Adaptive Image Clustering.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2014
On efficiently generating realistic social media timeline structures.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

2009
Detecting Abnormal Trend Evolution over Multiple Data Streams.
Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009

2008
SMART: A System for Online Monitoring Large Volumes of Network Traffic.
Proceedings of the 24th International Conference on Data Engineering, 2008


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