Zhixiang Chi

Orcid: 0000-0003-4560-4986

According to our database1, Zhixiang Chi authored at least 30 papers between 2018 and 2026.

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Bibliography

2026
PACO: Proxy-Task Alignment and Online Calibration for On-the-Fly Category Discovery.
CoRR, April, 2026

ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning.
CoRR, April, 2026

Learning through Creation: A Hash-Free Framework for On-the-Fly Category Discovery.
CoRR, March, 2026

TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery.
CoRR, March, 2026

Generalization in Online Reinforcement Learning for Mobile Agents.
CoRR, March, 2026

ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging.
CoRR, March, 2026

Normalized Conditional Mutual Information Surrogate Loss for Deep Neural Classifiers.
CoRR, January, 2026

2025
Few-Shot-Based Modular Image-to-Video Adapter for Diffusion Models.
CoRR, December, 2025

Widget2Code: From Visual Widgets to UI Code via Multimodal LLMs.
CoRR, December, 2025

MVS-TTA: Test-Time Adaptation for Multi-View Stereo via Meta-Auxiliary Learning.
CoRR, November, 2025

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Plug-in Feedback Self-Adaptive Attention in CLIP for Training-Free Open-Vocabulary Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Adapting to Distribution Shift by Visual Domain Prompt Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hyperspectral Skin Vision Challenge: Can Your Camera See Beyond Your Skin?
Proceedings of the IEEE International Conference on Acoustics, 2024

Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams.
Proceedings of the Computer Vision - ECCV 2024, 2024

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Fast Human Pose Estimation in Compressed Videos.
IEEE Trans. Multim., 2023

Meta-Auxiliary Learning for Future Depth Prediction in Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MetaGCD: Learning to Continually Learn in Generalized Category Discovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022.
CoRR, 2022

Error-Aware Spatial Ensembles for Video Frame Interpolation.
CoRR, 2022

Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay.
Proceedings of the Computer Vision, 2022

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
All at Once: Temporally Adaptive Multi-frame Interpolation with Advanced Motion Modeling.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Joint Demosaicking and Blind Deblurring Using Deep Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Single Image Reflection Removal Using Deep Encoder-Decoder Network.
CoRR, 2018


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