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← Authors

Zhiwu Huang

26 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (9) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)
🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (48) 🀝 Dynamic Duo (13) 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter πŸ’Ž Century Club (26) πŸ—ƒοΈ Keyword Collector (143) ⚑ Prolific Year (7)

Conferences

CVPR (11) AAAI (4) WACV (3) ECCV (2) ICCV (2) AISTATS (1) ICML (1) IJCAI (1) NIPS (1)

Top co-authors

Luc Van Gool (13) Xilin Chen (6) Ruiping Wang (6) Shiguang Shan (6) Danda Pani Paudel (5) Yabin Wang (4) Xiaopeng Hong (4) Suryansh Kumar (3) Jiqing Wu (3) Wen Li (2)

Keywords

generative adversarial network (5) riemannian manifold (4) image generation (3) metric learning (3) continual learning (3) face recognition (3) neural architecture search (3) image synthesis (3) differentiable search (2) diffusion model (2) convolutional neural network (2) conditional gan (2) deep learning (2) manifold learning (2) optimal transport (2) catastrophic forgetting (2) incremental learning (2) dimensionality reduction (2) generative model (2) network architecture (1)

Papers

OpenSDI: Spotting Diffusion-Generated Images in the Open World CVPR 2025 Freestyle Layout-to-Image Synthesis CVPR 2023 A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials WACV 2023 Riemannian Local Mechanism for SPD Neural Networks AAAI 2023 Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference AAAI 2023 S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning NIPS 2022 Generative Flows With Invertible Attentions CVPR 2022 Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo WACV 2022 Direct Differentiable Augmentation Search ICCV 2021 Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes CVPR 2021 GANmut: Learning Interpretable Conditional Space for Gamut of Emotions CVPR 2021 Spectral Tensor Train Parameterization of Deep Learning Layers AISTATS 2021 Neural Architecture Search as Sparse Supernet AAAI 2021 Facial Emotion Recognition With Noisy Multi-Task Annotations WACV 2021 Neural Architecture Search of SPD Manifold Networks IJCAI 2021 Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search ECCV 2020 Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets AAAI 2019 Sliced Wasserstein Generative Models CVPR 2019 Wasserstein Divergence for GANs ECCV 2018 Deep Learning on Lie Groups for Skeleton-Based Action Recognition CVPR 2017 Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition CVPR 2015 Face Video Retrieval With Image Query via Hashing Across Euclidean Space and Riemannian Manifold CVPR 2015 Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification ICML 2015 Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets CVPR 2015 Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014 Coupling Alignments with Recognition for Still-to-Video Face Recognition ICCV 2013