2025
CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

VQA and Visual Reasoning: An overview of approaches, datasets, and future direction.
Neurocomputing, 2025

Seeing and Reasoning: A Simple Deep Learning Approach to Visual Question Answering.
Big Data Min. Anal., 2025

2024
MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality.
CoRR, 2024

Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning.
CoRR, 2024

Towards Open-vocabulary HOI Detection with Calibrated Vision-language Models and Locality-aware Queries.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Semisupervised Network Embedding With Differentiable Deep Quantization.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Transferable and differentiable discrete network embedding for multi-domains with hierarchical knowledge distillation.
Inf. Sci., June, 2023

Toward a Unified Transformer-Based Framework for Scene Graph Generation and Human-Object Interaction Detection.
IEEE Trans. Image Process., 2023

State-Aware Compositional Learning Toward Unbiased Training for Scene Graph Generation.
IEEE Trans. Image Process., 2023

Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detection.
CoRR, 2023

2022
Towards Unbiased Scene Graph Generation: Techniques and Applications.
PhD thesis, 2022

Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Unsupervised Domain-adaptive Hash for Networks.
CoRR, 2021

Semi-supervised Network Embedding with Differentiable Deep Quantisation.
CoRR, 2021

Semantic Compositional Learning for Low-shot Scene Graph Generation.
CoRR, 2021

Exploiting Scene Graphs for Human-Object Interaction Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Unified Binary Generative Adversarial Network for Image Retrieval and Compression.
Int. J. Comput. Vis., 2020

Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network.
CoRR, 2019

One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Deep Region Hashing for Generic Instance Search from Images.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Binary Generative Adversarial Networks for Image Retrieval.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Deep Region Hashing for Efficient Large-scale Instance Search from Images.
CoRR, 2017

Deep Discrete Hashing with Self-supervised Pairwise Labels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017