| MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning Z Chi, L Gu, H Liu, Y Wang, Y Yu, J Tang Computer Vision and Pattern Recognition (CVPR), 2022 | 157 | 2022 |
| Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay H Liu, L Gu, Z Chi, Y Wang, Y Yu, J Chen, J Tang European Conference on Computer Vision (ECCV), 2022 | 101 | 2022 |
| Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning Z Chi, Y Wang, Y Yu, J Tang Computer Vision and Pattern Recognition (CVPR), 2021 | 101 | 2021 |
| All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling Z Chi, RM Nasiri, Z Liu, J Lu, J Tang, KN Plataniotis European Conference on Computer Vision (ECCV), 2020 | 75 | 2020 |
| Single Image Reflection Removal Using Deep Encoder-Decoder Network Z Chi, X Wu, X Shu, J Gu arXiv preprint arXiv:1802.00094, 2018 | 45 | 2018 |
| Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts T Zhong*, Z Chi*, L Gu*, Y Wang, Y Yu, J Tang Neural Information Processing Systems (NeurIPS), 2022 | 35 | 2022 |
| MetaGCD: Learning to Continually Learn in Generalized Category Discovery Y Wu*, Z Chi*, Y Wang, S Feng International Conference on Computer Vision (ICCV), 2023 | 30 | 2023 |
| Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity H Liang, N Quader, Z Chi, L Chen, P Dai, J Lu, Y Wang AAAI Conference on Artificial Intelligence (AAAI), 2022 | 30 | 2022 |
| Meta-Auxiliary Learning for Future Depth Prediction in Videos H Liu, Z Chi, Y Yu, Y Wang, J Chen, J Tang Winter Conference on Applications of Computer Vision (WACV), 2023 | 19 | 2023 |
| Fast Human Pose Estimation in Compressed Videos H Liu, W Liu, Z Chi, Y Wang, Y Yu, J Chen, T Jin IEEE Transactions on Multimedia (TMM), 2022 | 15 | 2022 |
| Systems and Methods for Multi-frame Video Frame Interpolation Z Chi, RM Nasiri, Z Liu, J Tang, J Lu US Patent App. 17/102,114, 2021 | 14 | 2021 |
| Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization Y Wu*, Z Chi*, Y Wang, KN Plataniotis, S Feng AAAI Conference on Artificial Intelligence (AAAI Oral), 2024 | 13 | 2024 |
| Joint Demosaicking and Blind Deblurring Using Deep Convolutional Neural Network Z Chi, X Shu, X Wu International Conference on Image Processing (ICIP), 2019 | 12 | 2019 |
| System, Device and Method for Video Frame Interpolation using a Structured Neural Network Z Chi, RM Nasiri, Z Liu, J Tang US Patent 10,958,869, 2021 | 10 | 2021 |
| Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images PC Ng, Z Chi, Y Verdie, J Lu, KN Plataniotis Neural Information Processing Systems (NeurIPS Dataset), 2023 | 9 | 2023 |
| Adapting to Distribution Shift by Visual Domain Prompt Generation Z Chi*, L Gu*, T Zhong, H Liu, Y Yu, KN Plataniotis, Y Wang International Conference on Learning Representations (ICLR), 2024 | 7 | 2024 |
| Hyperspectral skin vision challenge: Can your camera see beyond your skin? PC Ng, Z Chi, M Low, J Lu, KN Plataniotis, N Boulgouris, T Bourlai, YM Ro International Conference on Acoustics, Speech, and Signal Processing …, 2024 | 5 | 2024 |
| Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022 L Gu, Z Chi, H Liu, Y Yu, Y Wang Computer Vision and Pattern Recognition Workshop (CVPRW), 2022 | 5 | 2022 |
| Error-aware spatial ensembles for video frame interpolation Z Chi, RM Nasiri, Z Liu, Y Yu, J Lu, J Tang, KN Plataniotis arXiv preprint arXiv:2207.12305, 2022 | 3 | 2022 |
| Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams Ziqiang Wang, Zhixiang Chi, Yanan Wu, Li Gu, Zhi Liu, Konstantinos ... European Conference on Computer Vision (ECCV), 2024 | 2* | 2024 |
Yang WangComputer Science, Concordia UniversityOverená e-mailová adresa na: concordia.ca