Chi Harold Liu
25 papers · 2021–2026 · 8 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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πΊοΈ Taxonomy Completionist (62) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
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(14)
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(20)
Application Areas
(15)
Deep Learning
(14)
Learning Types Β· Machine Learning
(13)
Learning Types Β· Deep Learning
(13)
Artificial Intelligence
(12)
Computer Vision
(11)
Analysis
(8)
Core AI
(8)
Core Methods
(3)
Learning Paradigms
(3)
Optimization & Theory
(3)
Knowledge & Reasoning
(2)
Reinforcement Learning
(2)
Applications
(2)
Keywords
domain adaptation
(9)
semantic segmentation
(9)
transfer learning
(5)
active learning
(3)
domain generalization
(3)
adversarial learning
(2)
feature alignment
(2)
neural network
(2)
continual learning
(2)
vision-language model
(2)
unsupervised domain adaptation
(2)
few-shot learning
(2)
knowledge distillation
(2)
semantic augmentation
(2)
target domain
(2)
image classification
(2)
pseudo label
(2)
semi-supervised learning
(1)
representation learning
(1)
catastrophic forgetting
(1)
Papers
Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models
AAAI 2026
Rethinking MLLM Itself as a Segmenter with a Single Segmentation Token
CVPR 2026
SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
ACL 2026
CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
CVPR 2025
ForestCast: Open-Ended Event Forecasting with Semantic News Forest
EMNLP 2025
Training-free Generation of Temporally Consistent Rewards from VLMs
ICCV 2025
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
NeurIPS 2024
Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments
NeurIPS 2024
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm
ICCV 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
ICCV 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
ICLR 2023
On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer
CVPR 2023
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
AAAI 2023
Active Learning for Domain Adaptation: An Energy-Based Approach
AAAI 2022
Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation
ECCV 2022
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving
AAAI 2022
Causality Inspired Representation Learning for Domain Generalization
CVPR 2022
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
CVPR 2022
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
AAAI 2021
Dynamic Domain Adaptation for Efficient Inference
CVPR 2021
Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation
CVPR 2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
CVPR 2021
Pareto Domain Adaptation
NeurIPS 2021
Semantic Concentration for Domain Adaptation
ICCV 2021
Transferable Semantic Augmentation for Domain Adaptation
CVPR 2021