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Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation


Feb 03, 2021
Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing

* Accepted to ICLR 2021. 14 pages, 15 figures 

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High-Throughput Synchronous Deep RL


Dec 17, 2020
Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing

* Accepted to NeurIPS 2020; Project page: https://ioujenliu.github.io/HTS-RL/ 

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UFO$^2$: A Unified Framework towards Omni-supervised Object Detection


Oct 21, 2020
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz

* ECCV 2020 

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Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning


Jul 02, 2020
Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing


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Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?


May 05, 2020
Safa Messaoud, Maghav Kumar, Alexander G. Schwing

* CVPR 2020 (Oral) 

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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 

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Chirality Nets for Human Pose Regression


Oct 31, 2019
Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing

* Accepted to NeurIPS2019 

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PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning


Oct 31, 2019
Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing

* Accepted to CORL2019 

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Co-Generation with GANs using AIS based HMC


Oct 31, 2019
Tiantian Fang, Alexander G. Schwing

* Accepted to NeurIPS 2019 

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TAB-VCR: Tags and Attributes based VCR Baselines


Oct 31, 2019
Jingxiang Lin, Unnat Jain, Alexander G. Schwing

* Accepted to NeurIPS 2019. Project page: https://deanplayerljx.github.io/tabvcr 

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FMRI data augmentation via synthesis


Jul 13, 2019
Peiye Zhuang, Alexander G. Schwing, Sanmi Koyejo


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Knowledge Flow: Improve Upon Your Teachers


Apr 11, 2019
Iou-Jen Liu, Jian Peng, Alexander G. Schwing

* Accepted to ICLR 2019 

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Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering


Nov 01, 2018
Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing

* Accepted to NIPS 2018 

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Structural Consistency and Controllability for Diverse Colorization


Sep 06, 2018
Safa Messaoud, David Forsyth, Alexander G. Schwing

* Accepted to ECCV 2018 

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Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering


Sep 04, 2018
Medhini Narasimhan, Alexander G. Schwing

* Accepted to ECCV 2018 

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Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation


Sep 04, 2018
Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing

* Accepted to ECCV 2018 

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VideoMatch: Matching based Video Object Segmentation


Sep 04, 2018
Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing

* Accepted to ECCV 2018 

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Diverse and Coherent Paragraph Generation from Images


Sep 03, 2018
Moitreya Chatterjee, Alexander G. Schwing

* Camera Ready Version of ECCV 2018 paper; Coupled with supplementary 

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Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts


Mar 29, 2018
Raymond A. Yeh, Jinjun Xiong, Wen-mei W. Hwu, Minh N. Do, Alexander G. Schwing

* Accepted to NIPS 2017 

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MaskRNN: Instance Level Video Object Segmentation


Mar 29, 2018
Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing

* Accepted to NIPS 2017 

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Unsupervised Textual Grounding: Linking Words to Image Concepts


Mar 29, 2018
Raymond A. Yeh, Minh N. Do, Alexander G. Schwing

* Accepted to CVPR 2018 

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Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space


Nov 19, 2017
Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik


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High-Order Attention Models for Visual Question Answering


Nov 12, 2017
Idan Schwartz, Alexander G. Schwing, Tamir Hazan

* 9 pages, 8 figures, NIPS 2017 

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Semantic Image Inpainting with Deep Generative Models


Jul 13, 2017
Raymond A. Yeh, Chen Chen, Teck Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do


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Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening


Nov 05, 2016
Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng


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Training Deep Neural Networks via Direct Loss Minimization


Jun 02, 2016
Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun

* ICML2016 

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Monocular Object Instance Segmentation and Depth Ordering with CNNs


Dec 18, 2015
Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun

* International Conference on Computer Vision (ICCV), 2015 

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Learning Deep Structured Models


Apr 27, 2015
Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun

* 11 pages including reference 

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Fully Connected Deep Structured Networks


Mar 09, 2015
Alexander G. Schwing, Raquel Urtasun


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