Causal Inference

CIGPose: Causal Intervention Graph Neural Network for Whole-Body Pose Estimation CVPR 2026 DARC: Dual Adjustment Reasoning with Counterfactuals for Trustworthy Chest X-ray Classification CVPR 2026 Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables CLeaR 2026 Learning a Spatial Partitioning and its Causal Relations from Temporal Data CLeaR 2026 Multi-Modal Image Fusion via Intervention-Stable Feature Learning CVPR 2026 Prototype-based Causal Intervention for Multi-Label Image Classification CVPR 2026 Seeing Through the Shift: Causality-Inspired Robust Generalized Category Discovery CVPR 2026 Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning AISTATS 2025 Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability NeurIPS 2022 Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media NeurIPS 2022 Deconfounded Visual Grounding AAAI 2022 Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation NeurIPS 2021 A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 2020 Two Causal Principles for Improving Visual Dialog CVPR 2020