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Zhihai He

19 papers · 2013–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (45) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🌱 Topic Pioneer 🧭 Keyword Pioneer 🧬 Topic Evolution πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze πŸš€ Conference Pioneer ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (95) πŸ“ˆ Trend Setter

Venues

CVPR (8) AAAI (4) ECCV (4) ICCV (1) NeurIPS (1) WACV (1)

Top co-authors

Ce Zhang (4) Shuoshuo Chen (4) Ke Yu (4) Yi Zhang (4) Yushun Tang (4) Shichao Kan (4) Jianhe Yuan (3) Zhehan Kan (3) Yang Li (3) Siqi Wu (2)

Research topics

Deep Learning (12) Machine Learning (12) Learning Types Β· Deep Learning (9) Learning Types Β· Machine Learning (8) Artificial Intelligence (7) Computer Vision (7) Core AI (6) Core Methods (6) Analysis (5) Architectures (3) Learning Paradigms (3) Models (3) Optimization & Theory (3) Application Areas (2) Processing (2)

Keywords

few-shot learning (3) neural network (3) ensemble learning (2) prompt learning (2) adversarial attack (2) image retrieval (2) feature embedding (2) ensemble method (2) deep metric learning (2) representation learning (2) domain generalization (1) image classification (1) prototype learning (1) self-supervised learning (1) image restoration (1) motion analysis (1) feature learning (1) trajectory prediction (1) cross-modal learning (1) domain adaptation (1)

Papers

CausalLens: Sensitivity-Guided Multi-Head Causal Intervention for Hallucination Mitigation in Large Vision-Language Models CVPR 2026 Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression AAAI 2025 Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations AAAI 2025 Concept-Guided Prompt Learning for Generalization in Vision-Language Models AAAI 2024 Conceptual Codebook Learning for Vision-Language Models ECCV 2024 Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks AAAI 2024 Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation ECCV 2024 Learning To Adapt CLIP for Few-Shot Monocular Depth Estimation WACV 2024 Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation CVPR 2023 Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation CVPR 2023 Coded Residual Transform for Generalizable Deep Metric Learning NeurIPS 2022 Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation ECCV 2022 Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces ICCV 2021 Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning CVPR 2021 Spatial Assembly Networks for Image Representation Learning CVPR 2021 Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks CVPR 2020 Reciprocal Learning Networks for Human Trajectory Prediction CVPR 2020 Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss ECCV 2020 Ensemble Video Object Cut in Highly Dynamic Scenes CVPR 2013