Tao Wang

Orcid: 0000-0002-2480-878X

Affiliations:

National University of Singapore, Department of Electrical and Computer Engineering

According to our database¹, Tao Wang authored at least 36 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Slow-Fast Inference: Training-Free Inference Acceleration via Within-Sentence Support Stability.

[BibT_eX]

[DOI]

CoRR, March, 2026

Dr. Seg: Revisiting GRPO Training for Visual Large Language Models through Perception-Oriented Design.

[BibT_eX]

[DOI]

CoRR, March, 2026

Adaptive Image Zoom-in with Bounding Box Transformation for UAV Object Detection.

[BibT_eX]

[DOI]

CoRR, February, 2026

From structure to synergy: A survey of vision-language perception paradigm evolution in multimodal large language models.

[BibT_eX]

[DOI]

Inf. Fusion, 2026

2025

Precision Neural Network Quantization via Learnable Adaptive Modules.

[BibT_eX]

[DOI]

CoRR, April, 2025

Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, April, 2025

Learning Box Regression and Mask Segmentation Under Long-Tailed Distribution with Gradient Transfusing.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., February, 2025

Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Learnable Central Similarity Quantization for Efficient Image and Video Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2024

MPQ-YOLO: Ultra low mixed-precision quantization of YOLO for edge devices deployment.

[BibT_eX]

[DOI]

Neurocomputing, March, 2024

BOB-YOLO: Balancing Optimization Binarized YOLO via Module-Wise Latency.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Zero-Shot Aerial Object Detection with Visual Description Regularization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

VCL Challenges 2023 at ICCV 2023 Technical Report: Bi-level Adaptation Method for Test-time Adaptive Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Learning to Detect and Segment for Open Vocabulary Object Detection.

[BibT_eX]

[DOI]

Tao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Single UHD Image Dehazing via Interpretable Pyramid Network.

[BibT_eX]

[DOI]

CoRR, 2022

SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations.

[BibT_eX]

[DOI]

CoRR, 2022

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.

[BibT_eX]

[DOI]

CoRR, 2021

Direct Multi-view Multi-person 3D Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PnP-DETR: Towards Efficient Visual Analysis with Transformers.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes.

[BibT_eX]

[DOI]

CoRR, 2020

Toward Accurate Person-level Action Recognition in Videos of Crowed Scenes.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Central Similarity Quantization for Efficient Image and Video Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Revisiting Knowledge Distillation via Label Smoothing Regularization.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Classification Calibration for Long-tail Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Revisit Knowledge Distillation: a Teacher-free Framework.

[BibT_eX]

[DOI]

CoRR, 2019

Central Similarity Hashing via Hadamard matrix.

[BibT_eX]

[DOI]

CoRR, 2019

Prototype Reminding for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Few-Shot Adaptive Faster R-CNN.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Distilling Object Detectors With Fine-Grained Feature Imitation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Tao Wang

Timeline

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