Qianru Sun

Orcid: 0000-0003-2689-317X

According to our database1, Qianru Sun authored at least 83 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Unleashing Network Potentials for Semantic Scene Completion.
CoRR, 2024

Few-shot Learner Parameterization by Diffusion Time-steps.
CoRR, 2024

Exploring Diffusion Time-steps for Unsupervised Representation Learning.
CoRR, 2024

Video Anomaly Detection and Explanation via Large Language Models.
CoRR, 2024

Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Open-set domain adaptation by deconfounding domain gaps.
Appl. Intell., April, 2023

Causal Interventional Training for Image Recognition.
IEEE Trans. Multim., 2023

Generating Music With Emotions.
IEEE Trans. Multim., 2023

Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions.
Pattern Recognit., 2023

Non-Visible Light Data Synthesis and Application: A Case Study for Synthetic Aperture Radar Imagery.
CoRR, 2023

Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models.
CoRR, 2023

Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Freestyle Layout-to-Image Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semantic Scene Completion with Cleaner Self.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Class-Incremental Exemplar Compression for Class-Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Extracting Class Activation Maps from Non-Discriminative Features as well.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Online Hyperparameter Optimization for Class-Incremental Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Revisiting Local Descriptor for Improved Few-Shot Classification.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Mixed Dish Recognition With Contextual Relation and Domain Alignment.
IEEE Trans. Multim., 2022

Meta-Transfer Learning Through Hard Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation.
CoRR, 2022

Efficient Cross-Modal Video Retrieval with Meta-Optimized Frames.
CoRR, 2022

Auto-Classification of Similar Categories Based on an Improved BERT-MLDFA Method - - Taking E271 and E712.51 of Chinese Library Classification as an Example.
Proceedings of the 21st Wuhan International Conference on E-Business, 2022

Research on Automatic Categorization of Product Reviews Based on Short Text Extension and BERT Model.
Proceedings of the 21st Wuhan International Conference on E-Business, 2022

Interventional Training for Out-Of-Distribution Natural Language Understanding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Equivariance and Invariance Inductive Bias for Learning from Insufficient Data.
Proceedings of the Computer Vision - ECCV 2022, 2022

Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization.
Proceedings of the Computer Vision - ECCV 2022, 2022

On Mitigating Hard Clusters for Face Clustering.
Proceedings of the Computer Vision - ECCV 2022, 2022

Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Translate-Train Embracing Translationese Artifacts.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Deconfounded Visual Grounding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Generating Face Images With Attributes for Free.
IEEE Trans. Neural Networks Learn. Syst., 2021

Learning to teach and learn for semi-supervised few-shot image classification.
Comput. Vis. Image Underst., 2021

Self-Supervised Learning Disentangled Group Representation as Feature.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RMM: Reinforced Memory Management for Class-Incremental Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Large-Scale Benchmark for Food Image Segmentation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Self-Regulation for Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Transporting Causal Mechanisms for Unsupervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Causal Attention for Unbiased Visual Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Counterfactual Zero-Shot and Open-Set Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adaptive Aggregation Networks for Class-Incremental Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

COSY: COunterfactual SYntax for Cross-Lingual Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Counterfactual Variable Control for Robust and Interpretable Question Answering.
CoRR, 2020

Meta-Aggregating Networks for Class-Incremental Learning.
CoRR, 2020

Causal Intervention for Weakly-Supervised Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Interventional Few-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Feature Pyramid Transformer.
Proceedings of the Computer Vision - ECCV 2020, 2020

An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Visual Commonsense R-CNN.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Visual Commonsense Representation Learning via Causal Inference.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification.
CoRR, 2019

A Novel BiLevel Paradigm for Image-to-Image Translation.
CoRR, 2019

LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning.
CoRR, 2019

Learning to Self-Train for Semi-Supervised Few-Shot Classification.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Mixed-dish Recognition with Contextual Relation Networks.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Self-Refining Deep Symmetry Enhanced Network for Rain Removal.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Meta-Transfer Learning for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Generating Expensive Relationship Features from Cheap Objects.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation.
CoRR, 2018

Objects, Relationships, and Context in Visual Data.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

A Hybrid Model for Identity Obfuscation by Face Replacement.
Proceedings of the Computer Vision - ECCV 2018, 2018

Natural and Effective Obfuscation by Head Inpainting.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Disentangled Person Image Generation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Online growing neural gas for anomaly detection in changing surveillance scenes.
Pattern Recognit., 2017

Pose Guided Person Image Generation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Domain Based Approach to Social Relation Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A novel hierarchical Bag-of-Words model for compact action representation.
Neurocomputing, 2016

Human activity prediction by mapping grouplets to recurrent Self-Organizing Map.
Neurocomputing, 2016

Orientation Driven Bag of Appearances for Person Re-identification.
CoRR, 2016

Salient pairwise spatio-temporal interest points for real-time activity recognition.
CAAI Trans. Intell. Technol., 2016

2014
Online learning on incremental distance metric for person re-identification.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

Human action classification based on sequential bag-of-words model.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

Action classification by exploring directional co-occurrence of weighted stips.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Learning directional co-occurrence for human action classification.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Learning spatio-temporal co-occurrence correlograms for efficient human action classification.
Proceedings of the IEEE International Conference on Image Processing, 2013

Inferring Ongoing Human Activities Based on Recurrent Self-Organizing Map Trajectory.
Proceedings of the British Machine Vision Conference, 2013

2012
Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram.
Proceedings of the Computer Vision - ACCV 2012, 2012


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