| 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 | 91 | 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 | 77 | 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 | 65 | 2020 |
| 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 | 55 | 2022 |
| Single Image Reflection Removal Using Deep Encoder-Decoder Network Z Chi, X Wu, X Shu, J Gu arXiv preprint arXiv:1802.00094, 2018 | 42 | 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 | 20 | 2022 |
| 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 | 20 | 2022 |
| 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 | 11 | 2022 |
| Joint Demosaicking and Blind Deblurring Using Deep Convolutional Neural Network Z Chi, X Shu, X Wu International Conference on Image Processing (ICIP), 2019 | 10 | 2019 |
| MetaGCD: Learning to Continually Learn in Generalized Category Discovery Y Wu, Z Chi, Y Wang, S Feng International Conference on Computer Vision (ICCV), 2023 | 9 | 2023 |
| 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 | 9 | 2023 |
| 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 | 7 | 2021 |
| 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 | 6 | 2021 |
| 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 | 4 | 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 |
| 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 | 1 | 2023 |
| Methods, systems and computer medium for scene-adaptive future depth prediction in monocular videos H Liu, Z Chi, Y Yu, Y Wang, J Tang US Patent App. 17/203,645, 2022 | 1 | 2022 |
| Systems and methods for artificial-intelligence model training using unsupervised domain adaptation with multi-source meta-distillation Z Chi, L Gu, T Zhong, Y Yu, Y Wang, J Tang US Patent App. 17/966,568, 2024 | | 2024 |
| 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 | | 2024 |
| 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 | | 2024 |
Yang WangComputer Science, Concordia UniversityVerified email at concordia.ca
