Baigui Sun
24 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
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Cross-Pollinator
(14)
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Renaissance Researcher
(6)
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Taxonomy Completionist
(49)
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Dynamic Duo
(11)
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Topic Evolution
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Grand Slam
ποΈ
Keyword Collector
(106)
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Trend Setter
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Century Club
(23)
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Unstoppable
(5)
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Prolific Year
(5)
π
Conference Pioneer
Conferences
CVPR (5)
ICCV (5)
AAAI (3)
NIPS (3)
ECCV (2)
ICLR (2)
EACL (1)
ICML (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
face recognition
(4)
representation learning
(3)
data augmentation
(3)
zero-shot learning
(2)
domain adaptation
(2)
depth estimation
(2)
multi-view stereo
(2)
hard sample mining
(2)
unsupervised learning
(2)
semantic segmentation
(1)
offline reinforcement learning
(1)
efficient training
(1)
self-attention mechanism
(1)
non-convex optimization
(1)
transformer architecture
(1)
vision transformer
(1)
uncertainty quantification
(1)
semi-supervised learning
(1)
face detection
(1)
robust optimization
(1)
Papers
Guided by the Plan: Enhancing Faithful Autoregressive Text-to-Audio Generation with Guided Decoding
EACL 2026
DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception
WACV 2025
Dataset Growth
ECCV 2024
TopoFR: A Closer Look at Topology Alignment on Face Recognition
NIPS 2024
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
CVPR 2024
FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio
CVPR 2024
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
ICLR 2024
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier
ICCV 2023
PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-Modal Distillation and Super-Voxel Clustering
ICCV 2023
CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo
IJCAI 2023
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling
AAAI 2023
COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport
CVPR 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
NIPS 2023
DamoFD: Digging into Backbone Design on Face Detection
ICLR 2023
TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective
ICCV 2023
MogFace: Towards a Deeper Appreciation on Face Detection
CVPR 2022
DLME: Deep Local-Flatness Manifold Embedding
ECCV 2022
TransZero: Attribute-Guided Transformer for Zero-Shot Learning
AAAI 2022
An Efficient Training Approach for Very Large Scale Face Recognition
CVPR 2022
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
NIPS 2021
Dash: Semi-Supervised Learning with Dynamic Thresholding
ICML 2021
Digging Into Uncertainty in Self-Supervised Multi-View Stereo
ICCV 2021
Robust Optimization over Multiple Domains
AAAI 2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling
ICCV 2019