Zuxuan Wu
Shanghai Institute of Computing Technology(CN)
Publications by Year
Research Areas
Multimodal Machine Learning Applications, Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Generative Adversarial Networks and Image Synthesis
Most-Cited Works
- → VITON: An Image-Based Virtual Try-on Network(2018)614 cited
- → BlockDrop: Dynamic Inference Paths in Residual Networks(2018)470 cited
- → Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification(2015)470 cited
- → Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks(2017)401 cited
- → M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection(2022)303 cited
- → DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation(2018)265 cited
- → Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors(2020)217 cited
- → AdaFrame: Adaptive Frame Selection for Fast Video Recognition(2019)212 cited
- → Automatic Spatially-Aware Fashion Concept Discovery(2017)200 cited
- → BEVT: BERT Pretraining of Video Transformers(2022)197 cited