Wei-Lun Chao

Orcid: 0000-0003-1269-7231

According to our database1, Wei-Lun Chao authored at least 84 papers between 2010 and 2024.

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Bibliography

2024
Few-Shot Learning With a Strong Teacher.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Dual-View Visual Contextualization for Web Navigation.
CoRR, 2024

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs.
CoRR, 2024

2023
Visual Analytics on Network Forgetting for Task-Incremental Learning.
Comput. Graph. Forum, June, 2023

BIOCLIP: A Vision Foundation Model for the Tree of Life.
CoRR, 2023

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.
CoRR, 2023

Pre-Training LiDAR-Based 3D Object Detectors Through Colorization.
CoRR, 2023

Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation.
CoRR, 2023

Federated Learning of Shareable Bases for Personalization-Friendly Image Classification.
CoRR, 2023

Making Batch Normalization Great in Federated Deep Learning.
CoRR, 2023

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On the Importance and Applicability of Pre-Training for Federated Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PreSTU: Pre-Training for Scene-Text Understanding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unified Out-Of-Distribution Detection: A Model-Specific Perspective.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows.
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

Towards Open-World Segmentation of Parts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Train-Once-for-All Personalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Fractals by Gradient Descent.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
IEEE Trans. Medical Imaging, 2022

On Pre-Training for Federated Learning.
CoRR, 2022

Unsupervised Adaptation from Repeated Traversals for Autonomous Driving.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception.
Proceedings of the Tenth International Conference on Learning Representations, 2022

How to Train Your MAML to Excel in Few-Shot Classification.
Proceedings of the Tenth International Conference on Learning Representations, 2022

On Bridging Generic and Personalized Federated Learning for Image Classification.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning with Free Object Segments for Long-Tailed Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Detect Mobile Objects from LiDAR Scans Without Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
CoRR, 2021

On Bridging Generic and Personalized Federated Learning.
CoRR, 2021

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection.
CoRR, 2021

A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.
CoRR, 2021

On Model Calibration for Long-Tailed Object Detection and Instance Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gradual Domain Adaptation without Indexed Intermediate Domains.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting Document Representations for Large-Scale Zero-Shot Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Procrustean Training for Imbalanced Deep Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Interactive Natural Language-Based Person Search.
IEEE Robotics Autom. Lett., 2020

Classifier and Exemplar Synthesis for Zero-Shot Learning.
Int. J. Comput. Vis., 2020

FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning.
CoRR, 2020

MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation.
CoRR, 2020

Revisiting Meta-Learning as Supervised Learning.
CoRR, 2020

Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning.
CoRR, 2020

Visual Question Answering on 360° Images.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Wasserstein Distances for Stereo Disparity Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving.
Proceedings of the 8th International Conference on Learning Representations, 2020

Train in Germany, Test in the USA: Making 3D Object Detectors Generalize.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images.
IEEE Robotics Autom. Lett., 2019

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.
CoRR, 2019

An Empirical Study of Person Re-Identification with Attributes.
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

A New Defense Against Adversarial Images: Turning a Weakness into a Strength.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Vision-only 3D Tracking for Self-Driving Cars.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

An Empirical Study on Leveraging Scene Graphs for Visual Question Answering.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning Answer Embeddings for Visual Question Answering.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Cross-Dataset Adaptation for Visual Question Answering.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Video Summarization with Long Short-Term Memory.
Proceedings of the Computer Vision - ECCV 2016, 2016

An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild.
Proceedings of the Computer Vision - ECCV 2016, 2016

Summary Transfer: Exemplar-Based Subset Selection for Video Summarization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Synthesized Classifiers for Zero-Shot Learning.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Facial expression recognition based on improved local binary pattern and class-regularized locality preserving projection.
Signal Process., 2015

Large-Margin Determinantal Point Processes.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Exponential Integration for Hamiltonian Monte Carlo.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Diverse Sequential Subset Selection for Supervised Video Summarization.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Facial age estimation based on label-sensitive learning and age-oriented regression.
Pattern Recognit., 2013

Facial expression recognition using expression-specific local binary patterns and layer denoising mechanism.
Proceedings of the 9th International Conference on Information, 2013

2012
Facial age estimation based on label-sensitive learning and age-specific local regression.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Muscle injury determination by image segmentation.
Proceedings of the 2011 IEEE Visual Communications and Image Processing, 2011

Coarse-to-fine temporal optimization for video retargeting based on seam carving.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

2010
Asymmetric fourier descriptor of non-closed segments.
Proceedings of the International Conference on Image Processing, 2010


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