Search Results for author: Shizhan Zhu

Found 9 papers, 2 papers with code

Voxel-informed Language Grounding

1 code implementation ACL 2022 Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell

Natural language applied to natural 2D images describes a fundamentally 3D world.

Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image

no code implementations ICLR 2022 Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, Trevor Darrell

Existing approaches for single object reconstruction impose supervision signals based on the loss of the signed distance value from all locations in a scene, posing difficulties when extending to real-world scenarios.

Indoor Scene Reconstruction Object Reconstruction +1

Minimax Active Learning

no code implementations18 Dec 2020 Sayna Ebrahimi, William Gan, Dian Chen, Giscard Biamby, Kamyar Salahi, Michael Laielli, Shizhan Zhu, Trevor Darrell

Active learning aims to develop label-efficient algorithms by querying the most representative samples to be labeled by a human annotator.

Active Learning Image Classification +1

Be Your Own Prada: Fashion Synthesis with Structural Coherence

no code implementations ICCV 2017 Shizhan Zhu, Sanja Fidler, Raquel Urtasun, Dahua Lin, Chen Change Loy

In the second stage, a generative model with a newly proposed compositional mapping layer is used to render the final image with precise regions and textures conditioned on this map.

Fashion Synthesis Semantic Segmentation

Deep Cascaded Bi-Network for Face Hallucination

no code implementations18 Jul 2016 Shizhan Zhu, Sifei Liu, Chen Change Loy, Xiaoou Tang

We present a novel framework for hallucinating faces of unconstrained poses and with very low resolution (face size as small as 5pxIOD).

Face Hallucination

Towards Arbitrary-View Face Alignment by Recommendation Trees

no code implementations20 Nov 2015 Shizhan Zhu, Cheng Li, Chen Change Loy, Xiaoou Tang

The unified framework seamlessly handles different viewpoints and landmark protocols, and it is trained by optimising directly on landmark locations, thus yielding superior results on arbitrary-view face alignment.

Face Alignment Head Pose Estimation +1

Transferring Landmark Annotations for Cross-Dataset Face Alignment

no code implementations2 Sep 2014 Shizhan Zhu, Cheng Li, Chen Change Loy, Xiaoou Tang

We show extensive results on combining various popular databases (LFW, AFLW, LFPW, HELEN) for improved cross-dataset and unseen data alignment.

Face Alignment Object Recognition

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