Jiequan Cui
18 papers · 2019–2026 · 5 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (50) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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Venues
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Research topics
Machine Learning
(15)
Deep Learning
(10)
Computer Vision
(9)
Learning Types · Machine Learning
(9)
Artificial Intelligence
(8)
Core Methods
(8)
Core AI · Artificial Intelligence
(7)
Application Areas
(6)
Learning Types · Deep Learning
(5)
Analysis
(4)
Processing
(4)
Core AI · Computer Vision
(3)
Optimization & Theory
(3)
Techniques
(3)
Models
(2)
Keywords
image classification
(3)
class imbalance
(3)
representation learning
(3)
image editing
(2)
semantic segmentation
(2)
feature learning
(2)
low-rank adaptation
(2)
adversarial training
(2)
long-tailed recognition
(2)
transfer learning
(2)
cross-entropy loss
(2)
diffusion model
(2)
model robustness
(1)
uncertainty quantification
(1)
ensemble learning
(1)
image restoration
(1)
image segmentation
(1)
video understanding
(1)
domain generalization
(1)
batch normalization
(1)
Papers
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
AAAI 2026
Object Fusion via Diffusion Time-step for Customized Image Editing with Single Example
AAAI 2026
Pushing Rendering Boundaries: Hard Gaussian Splatting
AAAI 2026
CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction
CVPR 2025
Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge
ICCV 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
CVPR 2025
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
CVPR 2024
Decoupled Kullback-Leibler Divergence Loss
NeurIPS 2024
Doubly Abductive Counterfactual Inference for Text-based Image Editing
CVPR 2024
Instruction Tuning-free Visual Token Complement for Multimodal LLMs
ECCV 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction
NeurIPS 2024
Typicalness-Aware Learning for Failure Detection
NeurIPS 2024
Learning Context-Aware Classifier for Semantic Segmentation
AAAI 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
CVPR 2023
Improving Calibration for Long-Tailed Recognition
CVPR 2021
Learnable Boundary Guided Adversarial Training
ICCV 2021
Parametric Contrastive Learning
ICCV 2021
Fast and Practical Neural Architecture Search
ICCV 2019