Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
NCP-VAE: Variational Autoencoders with Noise Contrastive Priors

Oct 06, 2020
Jyoti Aneja, Alexander Schwing, Jan Kautz, Arash Vahdat

* 22 pages including appendix 

  Access Paper or Ask Questions

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models

Oct 01, 2020
Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat

* 32 pages including appendix 

  Access Paper or Ask Questions

Improving Deep Stereo Network Generalization with Geometric Priors

Aug 25, 2020
Jialiang Wang, Varun Jampani, Deqing Sun, Charles Loop, Stan Birchfield, Jan Kautz


  Access Paper or Ask Questions

DeepGMR: Learning Latent Gaussian Mixture Models for Registration

Aug 20, 2020
Wentao Yuan, Ben Eckart, Kihwan Kim, Varun Jampani, Dieter Fox, Jan Kautz

* ECCV 2020 spotlight 

  Access Paper or Ask Questions

Hierarchical Contrastive Motion Learning for Video Action Recognition

Jul 20, 2020
Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz


  Access Paper or Ask Questions

Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification

Jul 20, 2020
Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz

* ECCV 2020 (Oral) 

  Access Paper or Ask Questions

NVAE: A Deep Hierarchical Variational Autoencoder

Jul 08, 2020
Arash Vahdat, Jan Kautz

* Some images are downsized to meet arXiv requirements. Check https://arash-vahdat.github.io/NVAE_arxiv.pdf for a high-resolution version (24 MB) 

  Access Paper or Ask Questions

Contrastive Learning for Weakly Supervised Phrase Grounding

Jun 17, 2020
Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem


  Access Paper or Ask Questions

Bi3D: Stereo Depth Estimation via Binary Classifications

Jun 01, 2020
Abhishek Badki, Alejandro Troccoli, Kihwan Kim, Jan Kautz, Pradeep Sen, Orazio Gallo

* To be presented at CVPR 2020 

  Access Paper or Ask Questions

How to Close Sim-Real Gap? Transfer with Segmentation!

May 14, 2020
Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz

* arXiv admin note: substantial text overlap with arXiv:1712.03303 

  Access Paper or Ask Questions

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

Apr 09, 2020
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz

* Accepted to CVPR 2020 

  Access Paper or Ask Questions

Self-Supervised Viewpoint Learning From Image Collections

Apr 03, 2020
Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz

* Accepted at CVPR 20 

  Access Paper or Ask Questions

Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera

Apr 02, 2020
Jae Shin Yoon, Kihwan Kim, Orazio Gallo, Hyun Soo Park, Jan Kautz

* This paper is accepted to CVPR 2020 

  Access Paper or Ask Questions

Two-shot Spatially-varying BRDF and Shape Estimation

Apr 01, 2020
Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz


  Access Paper or Ask Questions

Convolutional Tensor-Train LSTM for Spatio-temporal Learning

Mar 22, 2020
Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar

* Jiahao Su and Wonmin Byeon contributed equally to this work. 17 pages, 14 figures 

  Access Paper or Ask Questions

Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints

Mar 20, 2020
Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz


  Access Paper or Ask Questions

Gaze-Sensing LEDs for Head Mounted Displays

Mar 18, 2020
Kaan Akşit, Jan Kautz, David Luebke

* 14 pages, 7 figures. THIS WORK WAS CONDUCTED IN 2015 

  Access Paper or Ask Questions

Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild

Mar 17, 2020
Umar Iqbal, Pavlo Molchanov, Jan Kautz

* CVPR 2020 

  Access Paper or Ask Questions

Self-supervised Single-view 3D Reconstruction via Semantic Consistency

Mar 13, 2020
Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz

* Codes and other resources will be released at: https://sites.google.com/view/unsup-mesh/home 

  Access Paper or Ask Questions

Learning to Generate Multiple Style Transfer Outputs for an Input Sentence

Feb 16, 2020
Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz


  Access Paper or Ask Questions

Deep Semantic Face Deblurring

Jan 19, 2020
Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang

* Submitted to International Journal of Computer Vision (IJCV). arXiv admin note: text overlap with arXiv:1803.03345 

  Access Paper or Ask Questions

Discovering Nonlinear Relations with Minimum Predictive Information Regularization

Jan 07, 2020
Tailin Wu, Thomas Breuel, Michael Skuhersky, Jan Kautz

* 26 pages, 11 figures; ICML'19 Time Series Workshop 

  Access Paper or Ask Questions

Meshlet Priors for 3D Mesh Reconstruction

Jan 06, 2020
Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen


  Access Paper or Ask Questions

Angular Visual Hardness

Jan 04, 2020
Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Jan Kautz, Anima Anandkumar

* Tech Report (24 pages) 

  Access Paper or Ask Questions

Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion

Dec 18, 2019
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz


  Access Paper or Ask Questions

UNAS: Differentiable Architecture Search Meets Reinforcement Learning

Dec 16, 2019
Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz


  Access Paper or Ask Questions