Kaihua Tang
13 papers · 2019–2026 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π€
Dynamic Duo
(11)
π
Trend Setter
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(55)
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(7)
Computer Vision
(5)
Deep Learning
(5)
Machine Learning
(5)
Learning Types Β· Deep Learning
(4)
Knowledge & Reasoning
(3)
Analysis
(3)
Learning Types Β· Machine Learning
(3)
Application Areas Β· Machine Learning
(2)
Core Methods
(2)
Reasoning
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Application Areas Β· Deep Learning
(1)
Keywords
causal inference
(4)
counterfactual reasoning
(3)
language bia
(2)
scene graph generation
(2)
visual reasoning
(2)
visual question answering
(2)
class-incremental learning
(2)
causal effect
(2)
semantic segmentation
(1)
image captioning
(1)
stochastic gradient descent
(1)
point cloud
(1)
incremental learning
(1)
scene reconstruction
(1)
reinforcement learning
(1)
multimodal learning
(1)
visual context
(1)
knowledge distillation
(1)
catastrophic forgetting
(1)
scene graph
(1)
Papers
AnchorSplat: Feed-Forward 3D Gaussian Splatting With 3D Geometric Priors
CVPR 2026
Scaling Test-Time Robustness of Vision-Language Models via Self-Critical Inference Framework
CVPR 2026
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
NeurIPS 2023
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-of-Distribution Generalization
ECCV 2022
Identifying Hard Noise in Long-Tailed Sample Distribution
ECCV 2022
Invariant Feature Learning for Generalized Long-Tailed Classification
ECCV 2022
Counterfactual VQA: A Cause-Effect Look at Language Bias
CVPR 2021
Distilling Causal Effect of Data in Class-Incremental Learning
CVPR 2021
Learning to Segment the Tail
CVPR 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
NeurIPS 2020
Unbiased Scene Graph Generation From Biased Training
CVPR 2020
Auto-Encoding Scene Graphs for Image Captioning
CVPR 2019
Learning to Compose Dynamic Tree Structures for Visual Contexts
CVPR 2019