Bau, D.[David]
* 2008: Large scale learning and recognition of faces in web videos
* 2017: Network Dissection: Quantifying Interpretability of Deep Visual Representations
* 2018: Interpretable Basis Decomposition for Visual Explanation
* 2019: Interpreting Deep Visual Representations via Network Dissection
* 2019: Learning Words by Drawing Images
* 2019: Seeing What a GAN Cannot Generate
* 2020: Diverse Image Generation via Self-Conditioned GANs
* 2020: Rewriting a Deep Generative Model
* 2020: What Makes Fake Images Detectable? Understanding Properties that Generalize
* 2021: Sketch Your Own GAN
* 2021: Toward a Visual Concept Vocabulary for GAN Latent Space
* 2022: Disentangling visual and written concepts in CLIP
* 2023: Erasing Concepts from Diffusion Models
* 2023: Multimodal Neurons in Pretrained Text-Only Transformers
Includes: Bau, D.[David] Bau, D.
14 for Bau, D.
Bau, T.C.
* 2010: Hyperspectral Region Classification Using a Three-Dimensional Gabor Filterbank