Chi Harold Liu
24 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
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CVPR (8)
AAAI (5)
ICCV (4)
NIPS (3)
ACL (1)
ECCV (1)
EMNLP (1)
ICLR (1)
Top co-authors
Keywords
domain adaptation
(8)
semantic segmentation
(7)
transfer learning
(5)
domain generalization
(3)
feature alignment
(2)
adversarial learning
(2)
semantic augmentation
(2)
active learning
(2)
pseudo label
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continual learning
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target domain
(2)
unsupervised domain adaptation
(2)
vision-language model
(2)
neural network
(2)
few-shot learning
(2)
knowledge distillation
(2)
semi-supervised learning
(1)
representation learning
(1)
catastrophic forgetting
(1)
deep reinforcement learning
(1)
Papers
SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
ACL 2026
Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models
AAAI 2026
ForestCast: Open-Ended Event Forecasting with Semantic News Forest
EMNLP 2025
Training-free Generation of Temporally Consistent Rewards from VLMs
ICCV 2025
CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
CVPR 2025
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
NIPS 2024
Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments
NIPS 2024
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
AAAI 2023
On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer
CVPR 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
ICCV 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
ICLR 2023
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm
ICCV 2023
Causality Inspired Representation Learning for Domain Generalization
CVPR 2022
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving
AAAI 2022
Active Learning for Domain Adaptation: An Energy-Based Approach
AAAI 2022
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
CVPR 2022
Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation
ECCV 2022
Semantic Concentration for Domain Adaptation
ICCV 2021
Pareto Domain Adaptation
NIPS 2021
Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation
CVPR 2021
Transferable Semantic Augmentation for Domain Adaptation
CVPR 2021
Dynamic Domain Adaptation for Efficient Inference
CVPR 2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
CVPR 2021
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
AAAI 2021