Dequan Wang

Orcid: 0000-0001-8270-8448

According to our database¹, Dequan Wang authored at least 48 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

RDGait: A mmWave Based Gait User Recognition System for Complex Indoor Environments Using Single-chip Radar.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., August, 2024

mmPlace: Robust Place Recognition With Intermediate Frequency Signal of Low-Cost Single-Chip Millimeter Wave Radar.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., June, 2024

Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Direct Preference Knowledge Distillation for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.

[BibT_eX]

[DOI]

CoRR, 2024

Data-Centric Foundation Models in Computational Healthcare: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

An Extensible Framework for Open Heterogeneous Collaborative Perception.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model.

[BibT_eX]

[DOI]

CoRR, 2023

Text-Guided Foundation Model Adaptation for Pathological Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption.

[BibT_eX]

[DOI]

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

2022

MAROAM: Map-based Radar SLAM through Two-step Feature Selection.

[BibT_eX]

[DOI]

CoRR, 2022

Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset.

[BibT_eX]

[DOI]

CoRR, 2022

Back to the Source: Diffusion-Driven Test-Time Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

GACT: Activation Compressed Training for General Architectures.

[BibT_eX]

[DOI]

CoRR, 2022

GACT: Activation Compressed Training for Generic Network Architectures.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Contrastive Test-Time Adaptation.

[BibT_eX]

[DOI]

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

2021

On-target Adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2021

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Tent: Fully Test-Time Adaptation by Entropy Minimization.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs.

[BibT_eX]

[DOI]

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020

Watch, Share or Create: The Influence of Personality Traits and User Motivation on TikTok Mobile Video Usage.

[BibT_eX]

[DOI]

Bahiyah Omar

Dequan Wang

Int. J. Interact. Mob. Technol., 2020

BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud.

[BibT_eX]

[DOI]

CoRR, 2020

Fully Test-time Adaptation by Entropy Minimization.

[BibT_eX]

[DOI]

CoRR, 2020

CoDeNet: Algorithm-hardware Co-design for Deformable Convolution.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Dynamic Scale Inference by Entropy Minimization.

[BibT_eX]

[DOI]

CoRR, 2019

Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields.

[BibT_eX]

[DOI]

Evan Shelhamer

Dequan Wang

Trevor Darrell

CoRR, 2019

Objects as Points.

[BibT_eX]

[DOI]

Xingyi Zhou

Dequan Wang

Philipp Krähenbühl

CoRR, 2019

Algorithm-hardware Co-design for Deformable Convolution.

[BibT_eX]

[DOI]

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Monocular Plan View Networks for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Deep Object-Centric Policies for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Joint Monocular 3D Vehicle Detection and Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning Rich Image Representation with Deep Layer Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Layer Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

VisDA: The Visual Domain Adaptation Challenge.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Layer Aggregation.

[BibT_eX]

[DOI]

Fisher Yu

Dequan Wang

Trevor Darrell

CoRR, 2017

Iterative object and part transfer for fine-grained recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016

Enhancing semi-supervised learning through label-aware base kernels.

[BibT_eX]

[DOI]

Neurocomputing, 2016

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Learning to Point and Count.

[BibT_eX]

[DOI]

CoRR, 2015

Multiple Granularity Descriptors for Fine-Grained Categorization.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Weakly supervised semantic segmentation for social images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Matching Reviews to Object Based on 2-Stage CRF.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Dequan Wang

Timeline

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On csauthors.net:

Bibliography

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