Fangyun Wei

Orcid: 0000-0001-8784-4916

According to our database1, Fangyun Wei authored at least 59 papers between 2014 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Boosting Zero-Shot Learning via Contrastive Optimization of Attribute Representations.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning.
CoRR, 2024

Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models.
CoRR, 2024

Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%.
CoRR, 2024

Towards Online Sign Language Recognition and Translation.
CoRR, 2024

Rethinking Generative Large Language Model Evaluation for Semantic Comprehension.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RAIN: Your Language Models Can Align Themselves without Finetuning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Online Continuous Sign Language Recognition and Translation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars.
Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond Text: Frozen Large Language Models in Visual Signal Comprehension.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
SAN: Side Adapter Network for Open-Vocabulary Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

ADPL: Adaptive Dual Path Learning for Domain Adaptation of Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Global Context Networks.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

DeepMIM: Deep Supervision for Masked Image Modeling.
CoRR, 2023

AniPortraitGAN: Animatable 3D Portrait Generation from 2D Image Collections.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Attentive Mask CLIP.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving Continuous Sign Language Recognition with Cross-Lingual Signs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Natural Language-Assisted Sign Language Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Two-shot Video Object Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Side Adapter Network for Open-Vocabulary Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Iterative Proposal Refinement for Weakly-Supervised Video Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Group Sampling for Scale Invariant Face Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Conditional DETR V2: Efficient Detection Transformer with Box Queries.
CoRR, 2022

Unsupervised Prompt Learning for Vision-Language Models.
CoRR, 2022

Two-Stream Network for Sign Language Recognition and Translation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model.
Proceedings of the Computer Vision - ECCV 2022, 2022

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model.
CoRR, 2021

Towards Tokenized Human Dynamics Representation.
CoRR, 2021

Bootstrap Your Object Detector via Mixed Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Aligning Pretraining for Detection via Object-Level Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

End-to-End Semi-Supervised Object Detection with Soft Teacher.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dual Path Learning for Domain Adaptation of Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

High-Fidelity and Arbitrary Face Editing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Restoring Negative Information in Few-Shot Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Design and Interpretation of Universal Adversarial Patches in Face Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Design and Interpretation of Universal Adversarial Patches in Face Detection.
CoRR, 2019

WIDER Face and Pedestrian Challenge 2018: Methods and Results.
CoRR, 2019

GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Group Sampling for Scale Invariant Face Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2015
Manifold-Regularized Selectable Factor Extraction for Semi-supervised Image Classification.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Anomaly Detection via Local Coordinate Factorization and Spatio-Temporal Pyramid.
Proceedings of the Computer Vision - ACCV 2014, 2014


  Loading...