← Authors

Zhiwu Huang

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

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (12) 🐝 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