Xun Huang

I am a third-year PhD student at Department of Computer Science, Cornell University, advised by Dr. Serge Belongie. My research focuses on deep generative models and applying them to re-create the visual world. Specifically, I am interested in image-to-image translation, image and video generation, style transfer, and 3D shape generation. See my personal web page for more details.

My research has been supported by Adobe Fellowship (2019)Snap Fellowship (2019), and NVIDIA Fellowship (2018).

Publications

2019

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

Yang*, Guandao; Huang*, Xun; Hao, Zekun; Liu, Ming-Yu; Belongie, Serge; Hariharan, Bharath

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

International Conference on Computer Vision (ICCV), Seoul, Korea, 2019, (Oral, *Equal Contribution).

(Abstract | Links | BibTeX)

2018

Multimodal Unsupervised Image-to-Image Translation

Huang, Xun; Liu, Ming-Yu; Belongie, Serge; Kautz, Jan

Multimodal Unsupervised Image-to-Image Translation

European Conference on Computer Vision (ECCV), Munich, Germany, 2018.

(Links | BibTeX)

Learning to Evaluate Image Captioning

Cui, Yin; Yang, Guandao; Veit, Andreas; Huang, Xun; Belongie, Serge

Learning to Evaluate Image Captioning

Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018.

(Links | BibTeX)

Controllable Video Generation with Sparse Trajectories

Hao, Zekun; Huang, Xun; Belongie, Serge

Controllable Video Generation with Sparse Trajectories

Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, 2018.

(Links | BibTeX)

2017

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Huang, Xun; Belongie, Serge

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

International Conference on Computer Vision (ICCV), Venice, Italy, 2017, (Oral).

(Links | BibTeX)

Stacked Generative Adversarial Networks

Huang, Xun; Li, Yixuan; Poursaeed, Omid; Hopcroft, John; Belongie, Serge

Stacked Generative Adversarial Networks

Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017.

(Links | BibTeX)