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- Deng CaiSuggested from co-authorship
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Works30 from public data
- IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation232
This work devise an efficient encoder-decoder based network, termed IFRNet, for fast in-termediate frame synthesizing, which first extracts pyramid features from given inputs, and then refines the bilateral in-Termediate flow fields together with a powerful intermedi-ate feature until generating the desired output.
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- HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping173
This work proposes 3D shape-aware identity to control the face shape with the geometric supervision from 3DMM and 3D face reconstruction method and introduces the Semantic Facial Fusion module to optimize the combination of encoder and decoder features and make adaptive blending, which makes the results more photo-realistic.
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- DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation99
The domain-invariant representation is constructed which suppresses the effect of the domain-specific style on the quality and correlation of the features and can enhance the robustness of various backbone networks with little computational cost.
- Multi-Task Vehicle Detection With Region-of-Interest Voting87
This paper proposes a novel vehicle detection scheme based on multi-task deep convolutional neural networks (CNNs) and region-of-interest (RoI) voting that achieves superior performance in vehicle detection compared with other existing published works.
- Deep feature based contextual model for object detection76
This paper proposes an ensemble object detection system which incorporates the local appearance, the contextual information in term of relationships among objects and the global scene based contextual feature generated by a convolutional neural network.
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- ColorFormer: Image Colorization via Color Memory Assisted Hybrid-Attention Transformer57
Experimental results show that the proposed automatic image colorization method via color memory assisted hybrid-attention transformer can generate more realistic and semantically matched color images compared with state-of-the-art methods.
- High-Fidelity Generalized Emotional Talking Face Generation with Multi-Modal Emotion Space Learning51
This paper proposes a more flexible and generalized framework for emotional talking face generation and uses an Aligned Multi-modal Emotion encoder to embed the text, image, and audio emotion modality into a unified space, which inherits rich semantic prior from CLIP.
- Context-Aware Image Inpainting with Learned Semantic Priors48
A context-aware image inpainting model, which adaptively integrates global semantics and local features in a unified image generator that achieves the state of the art on Places2, CelebA, and Paris StreetView datasets is proposed.
- NTIRE 2021 Challenge on Video Super-Resolution36
This paper presents evaluation results from two competition tracks as well as the proposed solutions to the NTIRE 2021 Challenge on Video Super-Resolution, and develops conventional video SR methods focusing on the restoration quality.
- StyleFace: Towards Identity-Disentangled Face Generation on Megapixels26
This work proposes StyleFace, a unified framework for 1024 2 resolution high-fidelity identity swapping and de-identification, and proposes an Adaptive Attribute Extractor, which adaptively preserves the identity-irrelevant attributes in a simple yet effective way.
- SSCGAN: Facial Attribute Editing via Style Skip Connections23
A style skip connection based generative adversarial network, referred to as SSCGAN, is developed which enables accurate facial attribute manipulation and can produce better results in terms of attribute generation accuracy and image quality.
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- The forgettable-watcher model for video question answering10
A TGIF-QA dataset for video question answering with the help of automatic question generation and a forgettable-watcher model to better utilize the temporal structure of the videos and the phrasal structures of the answers is proposed.
- Dynamic Frame Interpolation in Wavelet Domain9
This work proposes a novel two-stage frame interpolation framework termed WaveletVFI and finds that embedding a classifier in the motion perception network to learn a dynamic threshold for each sample can achieve more computation reduction with almost no loss of accuracy.
- Adversarial Refinement Network for Human Motion Prediction8
This work proposes an Adversarial Refinement Network (ARNet) following a simple yet effective coarse-to-fine mechanism with novel adversarial error augmentation, which outperforms other state-of-the-art methods, especially on challenging aperiodic actions in both short-term and long-term predictions.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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