Baigui Sun

Orcid: 0000-0001-7722-4748

According to our database1, Baigui Sun authored at least 42 papers between 2016 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
DMT-EV: An Explainable Deep Network for Dimension Reduction.
IEEE Trans. Vis. Comput. Graph., March, 2024

Beyond Talking - Generating Holistic 3D Human Dyadic Motion for Communication.
CoRR, 2024

StyleDyRF: Zero-shot 4D Style Transfer for Dynamic Neural Radiance Fields.
CoRR, 2024

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation.
CoRR, 2024

DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception.
CoRR, 2024

FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio.
CoRR, 2024

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation.
CoRR, 2024

Switch EMA: A Free Lunch for Better Flatness and Sharpness.
CoRR, 2024

Masked Modeling for Self-supervised Representation Learning on Vision and Beyond.
CoRR, 2024

2023
FaceChain: A Playground for Identity-Preserving Portrait Generation.
CoRR, 2023

The 3rd Anti-UAV Workshop & Challenge: Methods and Results.
CoRR, 2023

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi-supervised Deep Multi-view Stereo.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

CostFormer: Cost Transformer for Cost Aggregation in Multi-view Stereo.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DamoFD: Digging into Backbone Design on Face Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

COT: Unsupervised Domain Adaptation with Clustering and Optimal Transport.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Training and Inference of Face Recognition Models via Random Temperature Scaling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling.
CoRR, 2022

EVNet: An Explainable Deep Network for Dimension Reduction.
CoRR, 2022

Semi-supervised Deep Multi-view Stereo.
CoRR, 2022

DLME: Deep Local-flatness Manifold Embedding.
CoRR, 2022

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN.
CoRR, 2022

DLME: Deep Local-Flatness Manifold Embedding.
Proceedings of the Computer Vision - ECCV 2022, 2022

An Efficient Training Approach for Very Large Scale Face Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MogFace: Towards a Deeper Appreciation on Face Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransZero: Attribute-Guided Transformer for Zero-Shot Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment.
CoRR, 2021

An Efficient Training Approach for Very Large Scale Face Recognition.
CoRR, 2021

Learning to Cluster Faces via Transformer.
CoRR, 2021

MogFace: Rethinking Scale Augmentation on the Face Detector.
CoRR, 2021

HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dash: Semi-Supervised Learning with Dynamic Thresholding.
Proceedings of the 38th International Conference on Machine Learning, 2021

Mask Aware Network for Masked Face Recognition in the Wild.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Digging into Uncertainty in Self-supervised Multi-view Stereo.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition.
CoRR, 2020

2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.
CoRR, 2019

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Robust Optimization over Multiple Domains.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2016
Deep CTR Prediction in Display Advertising.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016


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