Alexander G. Schwing

286 papers A* 99A 3B 1Misc 3Journal 130Unranked 48
YearRankTypeTitle / Venue / Authors
2026 J jnl
Latent Wasserstein Adversarial Imitation Learning.
CoRR
Siqi Yang, Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2025 — conf
3D-Fixup: Advancing Photo Editing with 3D Priors.
SIGGRAPH (Conference Paper Track)
Yen-Chi Cheng, Krishna Kumar Singh, Jae Shin Yoon, Alexander G. Schwing, Liang-Yan Gui, Matheus Gadelha, Paul Guerrero, Nanxuan Zhao
2025 J jnl
3D-Fixup: Advancing Photo Editing with 3D Priors.
CoRR
Yen-Chi Cheng, Krishna Kumar Singh, Jae Shin Yoon, Alexander G. Schwing, Liangyan Gui, Matheus Gadelha, Paul Guerrero, Nanxuan Zhao
2025 J jnl
Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework.
CoRR
Yi-Ting Chen, Ting-Hsuan Liao, Pengsheng Guo, Alexander G. Schwing, Jia-Bin Huang
2025 A* conf
LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh.
ICLR
Jing Wen, Alexander G. Schwing, Shenlong Wang
2025 J jnl
LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh.
CoRR
Jing Wen, Alexander G. Schwing, Shenlong Wang
2025 A* conf
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis.
CVPR
Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander G. Schwing, Yuki Mitsufuji
2025 A* conf
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds.
CVPR
Zhenggang Tang, Yuchen Fan, Dilin Wang, Hongyu Xu, Rakesh Ranjan, Alexander G. Schwing, Zhicheng Yan
2025 J jnl
NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs without Human Poses.
CoRR
Jing Wen, Alexander G. Schwing, Shenlong Wang
2025 A* conf
RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations.
CVPR
Savya Khosla, Sethuraman TV, Alexander G. Schwing, Derek Hoiem
2025 J jnl
REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders.
CoRR
Savya Khosla, Sethuraman TV, Barnett Lee, Alexander G. Schwing, Derek Hoiem
2025 J jnl
Spatio-Temporal LLM: Reasoning about Environments and Actions.
CoRR
Haozhen Zheng, Beitong Tian, Mingyuan Wu, Zhenggang Tang, Klara Nahrstedt, Alexander G. Schwing
2025 J jnl
Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective.
CoRR
Xiaoming Zhao, Alexander G. Schwing
2025 J jnl
The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation.
CoRR
Ho Kei Cheng, Alexander G. Schwing
2025 A* conf
Towards Hierarchical Rectified Flow.
ICLR
Yichi Zhang, Yici Yan, Alexander G. Schwing, Zhizhen Zhao
2025 J jnl
Towards Hierarchical Rectified Flow.
CoRR
Yichi Zhang, Yici Yan, Alexander G. Schwing, Zhizhen Zhao
2025 J jnl
Variational Rectified Flow Matching.
CoRR
Pengsheng Guo, Alexander G. Schwing
2024 A* conf
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh.
CVPR
Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang
2024 J jnl
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh.
CoRR
Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang
2024 A* conf
Layer Collaboration in the Forward-Forward Algorithm.
AAAI
Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan
2024 J jnl
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds.
CoRR
Zhenggang Tang, Yuchen Fan, Dilin Wang, Hongyu Xu, Rakesh Ranjan, Alexander G. Schwing, Zhicheng Yan
2024 A* conf
NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows.
CVPR
Zhenggang Tang, Zhongzheng Ren, Xiaoming Zhao, Bowen Wen, Jonathan Tremblay, Stan Birchfield, Alexander G. Schwing
2024 J jnl
NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows.
CoRR
Zhenggang Tang, Zhongzheng Ren, Xiaoming Zhao, Bowen Wen, Jonathan Tremblay, Stan Birchfield, Alexander G. Schwing
2024 J jnl
OW-VISCap: Open-World Video Instance Segmentation and Captioning.
CoRR
Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing
2024 A* conf
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning.
NeurIPS
Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing
2024 A* conf
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching.
ICML
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2024 J jnl
On Inductive Biases That Enable Generalization of Diffusion Transformers.
CoRR
Jie An, De Wang, Pengsheng Guo, Jiebo Luo, Alexander G. Schwing
2024 J jnl
Pixel-Aligned Multi-View Generation with Depth Guided Decoder.
CoRR
Zhenggang Tang, Peiye Zhuang, Chaoyang Wang, Aliaksandr Siarohin, Yash Kant, Alexander G. Schwing, Sergey Tulyakov, Hsin-Ying Lee
2024 A* conf
Pseudo-Generalized Dynamic View Synthesis from a Video.
ICLR
Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alexander G. Schwing
2024 A* conf
Putting the Object Back into Video Object Segmentation.
CVPR
Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Joon-Young Lee, Alexander G. Schwing
2024 J jnl
RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations.
CoRR
Savya Khosla, Sethuraman TV, Alexander G. Schwing, Derek Hoiem
2024 A* conf
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers.
NeurIPS
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2024 J jnl
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers.
CoRR
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2024 A* conf
Robust Model-Based Optimization for Challenging Fitness Landscapes.
ICLR
Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha
2024 J jnl
Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis.
CoRR
Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander G. Schwing, Yuki Mitsufuji
2023 A* conf
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories.
NeurIPS
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2023 J jnl
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories.
CoRR
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2023 A* conf
AutoFocusFormer: Image Segmentation off the Grid.
CVPR
Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li
2023 J jnl
AutoFocusFormer: Image Segmentation off the Grid.
CoRR
Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li
2023 A* conf
Context-Aware Relative Object Queries to Unify Video Instance and Panoptic Segmentation.
CVPR
Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing
2023 A* conf
Diffusion Probabilistic Fields.
ICLR
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
2023 J jnl
Diffusion Probabilistic Fields.
CoRR
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
2023 J jnl
Is Generalized Dynamic Novel View Synthesis from Monocular Videos Possible Today?
CoRR
Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alexander G. Schwing
2023 J jnl
Layer Collaboration in the Forward-Forward Algorithm.
CoRR
Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan
2023 A* conf
Learning to Decompose Visual Features with Latent Textual Prompts.
ICLR
Feng Wang, Manling Li, Xudong Lin, Hairong Lv, Alexander G. Schwing, Heng Ji
2023 A* conf
Occupancy Planes for Single-View RGB-D Human Reconstruction.
AAAI
Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing
2023 J jnl
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching.
CoRR
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2023 J jnl
Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021).
Int. J. Comput. Vis.
Christian Bauckhage, Wolfgang Förstner, Juergen Gall, Michael Möller, Alexander G. Schwing
2023 J jnl
Property-Guided Generative Modelling for Robust Model-Based Design with Imbalanced Data.
CoRR
Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha
2023 J jnl
Putting the Object Back into Video Object Segmentation.
CoRR
Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Joon-Young Lee, Alexander G. Schwing
2023 A* conf
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control.
ICRA
Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield
2023 A* conf
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation.
CVPR
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui
2023 — conf
Semantic Autoencoder for Modeling BEOL and MOL Dielectric Lifetime Distributions.
IRPS
Weiman Yan, Ernest Wu, Alexander G. Schwing, Elyse Rosenbaum
2023 J jnl
StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D.
CoRR
Pengsheng Guo, Hans Hao, Adam Caccavale, Zhongzheng Ren, Edward Zhang, Qi Shan, Aditya Sankar, Alexander G. Schwing, Alex Colburn, Fangchang Ma
2023 A* conf
Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction.
ICML
Yuan-Ting Hu, Alexander G. Schwing, Raymond A. Yeh
2023 A* conf
Tracking Anything with Decoupled Video Segmentation.
ICCV
Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Alexander G. Schwing, Joon-Young Lee
2023 J jnl
Tracking Anything with Decoupled Video Segmentation.
CoRR
Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Alexander G. Schwing, Joon-Young Lee
2023 J jnl
Virtual Pets: Animatable Animal Generation in 3D Scenes.
CoRR
Yen-Chi Cheng, Chieh Hubert Lin, Chaoyang Wang, Yash Kant, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui, Hsin-Ying Lee
2022 A* conf
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language.
ICML
Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing
2022 J jnl
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language.
CoRR
Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing
2022 A* conf
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations.
NeurIPS
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2022 J jnl
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations.
CoRR
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2022 — conf
Controllable Radiance Fields for Dynamic Face Synthesis.
3DV
Peiye Zhuang, Liqian Ma, Sanmi Koyejo, Alexander G. Schwing
2022 J jnl
Controllable Radiance Fields for Dynamic Face Synthesis.
CoRR
Peiye Zhuang, Liqian Ma, Oluwasanmi Koyejo, Alexander G. Schwing
2022 J jnl
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing.
CoRR
Klara Nahrstedt, Naresh R. Shanbhag, Vikram S. Adve, Nancy M. Amato, Romit Roy Choudhury, Carl A. Gunter, Nam Sung Kim, Olgica Milenkovic, Sayan Mitra, Lav R. Varshney, Yurii Vlasov, Sarita V. Adve, Rashid Bashir, Andreas Cangellaris, James DiCarlo, Katie Driggs-Campbell, Nick Feamster, Mattia Gazzola, Karrie Karahalios, Sanmi Koyejo, Paul G. Kwiat, Bo Li, Negar Mehr, Ravish Mehra, Andrew Miller, Daniela Rus, Alexander G. Schwing, Anshumali Shrivastava
2022 A* conf
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data.
NeurIPS
Tiantian Fang, Ruoyu Sun, Alexander G. Schwing
2022 J jnl
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data.
CoRR
Tiantian Fang, Ruoyu Sun, Alexander G. Schwing
2022 A conf
Equivariance Discovery by Learned Parameter-Sharing.
AISTATS
Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander G. Schwing
2022 J jnl
Equivariance Discovery by Learned Parameter-Sharing.
CoRR
Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander G. Schwing
2022 — conf
Generative Multiplane Images: Making a 2D GAN 3D-Aware.
ECCV (5)
Xiaoming Zhao, Fangchang Ma, David Güera, Zhile Ren, Alexander G. Schwing, Alex Colburn
2022 J jnl
Generative Multiplane Images: Making a 2D GAN 3D-Aware.
CoRR
Xiaoming Zhao, Fangchang Ma, David Güera, Zhile Ren, Alexander G. Schwing, Alex Colburn
2022 — conf
Initialization and Alignment for Adversarial Texture Optimization.
ECCV (27)
Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
2022 — conf
Initialization and Alignment for Adversarial Texture Optimization.
ECCV Workshops (3)
Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
2022 J jnl
Initialization and Alignment for Adversarial Texture Optimization.
CoRR
Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
2022 — conf
Joint Forecasting of Panoptic Segmentations with Difference Attention.
CVPR Workshops
Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing
2022 A* conf
Joint Forecasting of Panoptic Segmentations with Difference Attention.
CVPR
Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing
2022 J jnl
Joint Forecasting of Panoptic Segmentations with Difference Attention.
CoRR
Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing
2022 A* conf
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks.
NeurIPS
Renan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing, Minh N. Do, Raymond A. Yeh
2022 J jnl
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks.
CoRR
Renan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing, Minh N. Do, Raymond A. Yeh
2022 J jnl
Learning to Decompose Visual Features with Latent Textual Prompts.
CoRR
Feng Wang, Manling Li, Xudong Lin, Hairong Lv, Alexander G. Schwing, Heng Ji
2022 A* conf
Masked-attention Mask Transformer for Universal Image Segmentation.
CVPR
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar
2022 A* conf
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding.
AAAI
Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji
2022 A* conf
Neural Volumetric Object Selection.
CVPR
Zhongzheng Ren, Aseem Agarwala, Bryan C. Russell, Alexander G. Schwing, Oliver Wang
2022 J jnl
Neural Volumetric Object Selection.
CoRR
Zhongzheng Ren, Aseem Agarwala, Bryan C. Russell, Alexander G. Schwing, Oliver Wang
2022 J jnl
Occupancy Planes for Single-view RGB-D Human Reconstruction.
CoRR
Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing
2022 A* conf
On the Importance of Gradient Norm in PAC-Bayesian Bounds.
NeurIPS
Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan
2022 J jnl
On the Importance of Gradient Norm in PAC-Bayesian Bounds.
CoRR
Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan
2022 A* conf
Ordered Attention for Coherent Visual Storytelling.
ACM Multimedia
Tom Braude, Idan Schwartz, Alexander G. Schwing, Ariel Shamir
2022 J jnl
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control.
CoRR
Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield
2022 J jnl
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation.
CoRR
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui
2022 A* conf
Total Variation Optimization Layers for Computer Vision.
CVPR
Raymond A. Yeh, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing
2022 J jnl
Total Variation Optimization Layers for Computer Vision.
CoRR
Raymond A. Yeh, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing
2022 — conf
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model.
ECCV (28)
Ho Kei Cheng, Alexander G. Schwing
2022 J jnl
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model.
CoRR
Ho Kei Cheng, Alexander G. Schwing
2021 A* conf
3D Spatial Recognition Without Spatially Labeled 3D.
CVPR
Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar
2021 J jnl
3D Spatial Recognition without Spatially Labeled 3D.
CoRR
Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar
2021 A* conf
A Contrastive Learning Approach for Training Variational Autoencoder Priors.
NeurIPS
Jyoti Aneja, Alexander G. Schwing, Jan Kautz, Arash Vahdat
2021 A* conf
Assignment-Space-based Multi-Object Tracking and Segmentation.
ICCV
Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing
2021 A* conf
Bridging the Imitation Gap by Adaptive Insubordination.
NeurIPS
Luca Weihs, Unnat Jain, Iou-Jen Liu, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2021 A* conf
Class-agnostic Reconstruction of Dynamic Objects from Videos.
NeurIPS
Zhongzheng Ren, Xiaoming Zhao, Alexander G. Schwing
2021 J jnl
Class-agnostic Reconstruction of Dynamic Objects from Videos.
CoRR
Zhongzheng Ren, Xiaoming Zhao, Alexander G. Schwing
2021 J jnl
CoVA: Context-aware Visual Attention for Webpage Information Extraction.
CoRR
Anurendra Kumar, Keval Morabia, Jingjin Wang, Kevin Chen-Chuan Chang, Alexander G. Schwing
2021 A* conf
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning.
ICML
Iou-Jen Liu, Unnat Jain, Raymond A. Yeh, Alexander G. Schwing
2021 J jnl
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning.
CoRR
Iou-Jen Liu, Unnat Jain, Raymond A. Yeh, Alexander G. Schwing
2021 A* conf
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization.
SIGIR
Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, ChengXiang Zhai, Alexander G. Schwing
2021 J jnl
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization.
CoRR
Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, ChengXiang Zhai, Alexander G. Schwing
2021 A* conf
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation.
ICLR
Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing
2021 J jnl
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation.
CoRR
Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing
2021 J jnl
FuseRec: fusing user and item homophily modeling with temporal recommender systems.
Data Min. Knowl. Discov.
Kanika Narang, Yitong Song, Alexander G. Schwing, Hari Sundaram
2021 A* conf
GridToPix: Training Embodied Agents with Minimal Supervision.
ICCV
Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing
2021 J jnl
GridToPix: Training Embodied Agents with Minimal Supervision.
CoRR
Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing
2021 A* conf
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents.
ICCV
Shivansh Patel, Saim Wani, Unnat Jain, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang
2021 J jnl
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents.
CoRR
Shivansh Patel, Saim Wani, Unnat Jain, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang
2021 J jnl
Mask2Former for Video Instance Segmentation.
CoRR
Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, Alexander G. Schwing
2021 J jnl
Masked-attention Mask Transformer for Universal Image Segmentation.
CoRR
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar
2021 A* conf
Maya: Using Formal Control to Obfuscate Power Side Channels.
ISCA
Raghavendra Pradyumna Pothukuchi, Sweta Yamini Pothukuchi, Petros G. Voulgaris, Alexander G. Schwing, Josep Torrellas
2021 J jnl
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding.
CoRR
Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji
2021 A* conf
Panoptic Segmentation Forecasting.
CVPR
Colin Graber, Grace Tsai, Michael Firman, Gabriel J. Brostow, Alexander G. Schwing
2021 — conf
Panoptic Segmentation Forecasting.
CVPR Workshops
Colin Graber, Grace Tsai, Michael Firman, Gabriel J. Brostow, Alexander G. Schwing
2021 J jnl
Panoptic Segmentation Forecasting.
CoRR
Colin Graber, Grace Tsai, Michael Firman, Gabriel J. Brostow, Alexander G. Schwing
2021 — ed.
Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings
GCPR
Christian Bauckhage, Juergen Gall, Alexander G. Schwing
2021 A* conf
Per-Pixel Classification is Not All You Need for Semantic Segmentation.
NeurIPS
Bowen Cheng, Alexander G. Schwing, Alexander Kirillov
2021 J jnl
Per-Pixel Classification is Not All You Need for Semantic Segmentation.
CoRR
Bowen Cheng, Alexander G. Schwing, Alexander Kirillov
2021 A* conf
Perceptual Score: What Data Modalities Does Your Model Perceive?
NeurIPS
Itai Gat, Idan Schwartz, Alexander G. Schwing
2021 J jnl
Perceptual Score: What Data Modalities Does Your Model Perceive?
CoRR
Itai Gat, Idan Schwartz, Alexander G. Schwing
2021 J jnl
Robustifying 𝓁
CoRR
Ameya D. Patil, Michael Tuttle, Alexander G. Schwing, Naresh R. Shanbhag
2021 A* conf
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data.
CVPR
Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing
2021 — conf
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data.
CVPR Workshops
Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing
2021 J jnl
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data.
CoRR
Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing
2021 A conf
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning.
IROS
Iou-Jen Liu, Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing
2021 J jnl
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning.
CoRR
Iou-Jen Liu, Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing
2021 A* conf
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation.
ICCV
Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing
2021 J jnl
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation.
CoRR
Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing
2021 J jnl
Towards Coherent Visual Storytelling with Ordered Image Attention.
CoRR
Tom Braude, Idan Schwartz, Alexander G. Schwing, Ariel Shamir
2020 J jnl
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks.
CoRR
Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2020 — conf
A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks.
ECCV (5)
Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2020 A* conf
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis.
CVPR
Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi
2020 J jnl
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis.
CoRR
Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi
2020 J jnl
Bridging the Imitation Gap by Adaptive Insubordination.
CoRR
Luca Weihs, Unnat Jain, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2020 — conf
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?
CVPR Workshops
Safa Messaoud, Maghav Kumar, Alexander G. Schwing
2020 J jnl
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?
CoRR
Safa Messaoud, Maghav Kumar, Alexander G. Schwing
2020 A* conf
Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?
CVPR
Safa Messaoud, Maghav Kumar, Alexander G. Schwing
2020 Misc conf
Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning.
ICASSP
Yuanyi Zhong, Alexander G. Schwing, Jian Peng
2020 J jnl
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning.
CoRR
Yuanyi Zhong, Alexander G. Schwing, Jian Peng
2020 — conf
Dynamic Neural Relational Inference for Forecasting Trajectories.
CVPR Workshops
Colin Graber, Alexander G. Schwing
2020 A* conf
Dynamic Neural Relational Inference.
CVPR
Colin Graber, Alexander G. Schwing
2020 A* conf
High-Throughput Synchronous Deep RL.
NeurIPS
Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
2020 J jnl
High-Throughput Synchronous Deep RL.
CoRR
Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
2020 A* conf
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection.
CVPR
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
2020 J jnl
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection.
CoRR
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
2020 J jnl
NCP-VAE: Variational Autoencoders with Noise Contrastive Priors.
CoRR
Jyoti Aneja, Alexander G. Schwing, Jan Kautz, Arash Vahdat
2020 A* conf
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning.
NeurIPS
Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing
2020 J jnl
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning.
CoRR
Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing
2020 J jnl
On the generalization of bayesian deep nets for multi-class classification.
CoRR
Yossi Adi, Yaniv Nemcovsky, Alexander G. Schwing, Tamir Hazan
2020 — conf
Proposal-Based Video Completion.
ECCV (27)
Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing
2020 A* conf
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies.
NeurIPS
Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2020 J jnl
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies.
CoRR
Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2020 — conf
Spatially Aware Multimodal Transformers for TextVQA.
ECCV (9)
Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal
2020 J jnl
Spatially Aware Multimodal Transformers for TextVQA.
CoRR
Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal
2020 — conf
The 1st Agriculture-Vision Challenge: Methods and Results.
CVPR Workshops
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang
2020 J jnl
The 1st Agriculture-Vision Challenge: Methods and Results.
CoRR
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang
2020 A* conf
Towards a Better Global Loss Landscape of GANs.
NeurIPS
Ruoyu Sun, Tiantian Fang, Alexander G. Schwing
2020 J jnl
Towards a Better Global Loss Landscape of GANs.
CoRR
Ruoyu Sun, Tiantian Fang, Alexander G. Schwing
2020 — conf
UFO
ECCV (19)
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
2020 J jnl
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection.
CoRR
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
2019 A* conf
A Simple Baseline for Audio-Visual Scene-Aware Dialog.
CVPR
Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2019 J jnl
A Simple Baseline for Audio-Visual Scene-Aware Dialog.
CoRR
Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2019 — conf
A Simple Baseline for Visual Commonsense Reasoning.
ViGIL@NeurIPS
Jingxiang Lin, Unnat Jain, Alexander G. Schwing
2019 A* conf
Accelerating distributed reinforcement learning with in-switch computing.
ISCA
Youjie Li, Iou-Jen Liu, Yifan Yuan, Deming Chen, Alexander G. Schwing, Jian Huang
2019 J jnl
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics.
CoRR
Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander G. Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang
2019 A* conf
Chirality Nets for Human Pose Regression.
NeurIPS
Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing
2019 J jnl
Chirality Nets for Human Pose Regression.
CoRR
Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing
2019 A* conf
Co-Generation with GANs using AIS based HMC.
NeurIPS
Tiantian Fang, Alexander G. Schwing
2019 J jnl
Co-Generation with GANs using AIS based HMC.
CoRR
Tiantian Fang, Alexander G. Schwing
2019 J jnl
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.
CoRR
Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, Eliu A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
2019 — conf
Distributed Estimation via Opinion Dynamics.
MWSCAS
Noyan C. Sevüktekin, Alexander G. Schwing, Andrew C. Singer
2019 A* conf
Diverse Generation for Multi-Agent Sports Games.
CVPR
Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy
2019 J jnl
Enabling real-time multi-messenger astrophysics discoveries with deep learning.
CoRR
Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
2019 — conf
FMRI Data Augmentation Via Synthesis.
ISBI
Peiye Zhuang, Alexander G. Schwing, Oluwasanmi Koyejo
2019 J jnl
FMRI data augmentation via synthesis.
CoRR
Peiye Zhuang, Alexander G. Schwing, Sanmi Koyejo
2019 A* conf
Factor Graph Attention.
CVPR
Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing
2019 J jnl
Factor Graph Attention.
CoRR
Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing
2019 A* conf
Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech.
CVPR
Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David A. Forsyth
2019 A* conf
Graph Structured Prediction Energy Networks.
NeurIPS
Colin Graber, Alexander G. Schwing
2019 J jnl
Graph Structured Prediction Energy Networks.
CoRR
Colin Graber, Alexander G. Schwing
2019 — conf
Knowledge Flow: Improve Upon Your Teachers.
ICLR (Poster)
Iou-Jen Liu, Jian Peng, Alexander G. Schwing
2019 J jnl
Knowledge Flow: Improve Upon Your Teachers.
CoRR
Iou-Jen Liu, Jian Peng, Alexander G. Schwing
2019 A* conf
Max-Sliced Wasserstein Distance and Its Use for GANs.
CVPR
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing
2019 J jnl
Max-Sliced Wasserstein Distance and its use for GANs.
CoRR
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing
2019 A* conf
No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques.
ICCV
Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
2019 Misc conf
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning.
CoRL
Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
2019 J jnl
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning.
CoRR
Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing
2019 A* conf
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines.
CVPR
Yuan-Ting Hu, Hong-Shuo Chen, Kexin Hui, Jia-Bin Huang, Alexander G. Schwing
2019 — conf
Sensor Training Data Reduction for Autonomous Vehicles.
HotEdgeVideo@MobiCom
Matthew Tomei, Alexander G. Schwing, Satish Narayanasamy, Rakesh Kumar
2019 A* conf
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning.
ICCV
Jyoti Aneja, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing
2019 J jnl
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning.
CoRR
Jyoti Aneja, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing
2019 A* conf
TAB-VCR: Tags and Attributes based VCR Baselines.
NeurIPS
Jingxiang Lin, Unnat Jain, Alexander G. Schwing
2019 J jnl
TAB-VCR: Tags and Attributes based VCR Baselines.
CoRR
Jingxiang Lin, Unnat Jain, Alexander G. Schwing
2019 A* conf
Two Body Problem: Collaborative Visual Task Completion.
CVPR
Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi
2019 J jnl
Two Body Problem: Collaborative Visual Task Completion.
CoRR
Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi
2019 A* conf
ViCo: Word Embeddings From Visual Co-Occurrences.
ICCV
Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
2019 J jnl
ViCo: Word Embeddings from Visual Co-occurrences.
CoRR
Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
2018 A* conf
A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks.
MICRO
Youjie Li, Jongse Park, Mohammad Alian, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander G. Schwing, Hadi Esmaeilzadeh, Nam Sung Kim
2018 A* conf
Convolutional Image Captioning.
CVPR
Jyoti Aneja, Aditya Deshpande, Alexander G. Schwing
2018 A* conf
Deep Structured Prediction with Nonlinear Output Transformations.
NeurIPS
Colin Graber, Ofer Meshi, Alexander G. Schwing
2018 J jnl
Deep Structured Prediction with Nonlinear Output Transformations.
CoRR
Colin Graber, Ofer Meshi, Alexander G. Schwing
2018 — conf
Diverse and Coherent Paragraph Generation from Images.
ECCV (2)
Moitreya Chatterjee, Alexander G. Schwing
2018 J jnl
Diverse and Coherent Paragraph Generation from Images.
CoRR
Moitreya Chatterjee, Alexander G. Schwing
2018 J jnl
Diverse and Controllable Image Captioning with Part-of-Speech Guidance.
CoRR
Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David A. Forsyth
2018 — conf
Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping.
ICLR (Workshop)
Keyi Yu, Yang Liu, Alexander G. Schwing, Jian Peng
2018 A* conf
Generative Modeling Using the Sliced Wasserstein Distance.
CVPR
Ishan Deshpande, Ziyu Zhang, Alexander G. Schwing
2018 J jnl
Generative Modeling using the Sliced Wasserstein Distance.
CoRR
Ishan Deshpande, Ziyu Zhang, Alexander G. Schwing
2018 A* conf
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.
NeurIPS
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
2018 J jnl
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.
CoRR
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
2018 Misc conf
Image Restoration with Deep Generative Models.
ICASSP
Raymond A. Yeh, Teck-Yian Lim, Chen Chen, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do
2018 J jnl
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts.
CoRR
Raymond A. Yeh, Jinjun Xiong, Wen-mei W. Hwu, Minh N. Do, Alexander G. Schwing
2018 J jnl
MaskRNN: Instance Level Video Object Segmentation.
CoRR
Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing
2018 J jnl
No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques.
CoRR
Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
2018 A* conf
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering.
NeurIPS
Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing
2018 J jnl
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering.
CoRR
Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing
2018 A* conf
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training.
NeurIPS
Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing
2018 J jnl
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training.
CoRR
Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing
2018 — conf
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering.
ECCV (8)
Medhini Narasimhan, Alexander G. Schwing
2018 J jnl
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering.
CoRR
Medhini Narasimhan, Alexander G. Schwing
2018 — conf
Structural Consistency and Controllability for Diverse Colorization.
ECCV (6)
Safa Messaoud, David A. Forsyth, Alexander G. Schwing
2018 J jnl
Structural Consistency and Controllability for Diverse Colorization.
CoRR
Safa Messaoud, David A. Forsyth, Alexander G. Schwing
2018 A* conf
Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering.
CVPR
Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing
2018 J jnl
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering.
CoRR
Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing
2018 A* conf
Unsupervised Textual Grounding: Linking Words to Image Concepts.
CVPR
Raymond A. Yeh, Minh N. Do, Alexander G. Schwing
2018 J jnl
Unsupervised Textual Grounding: Linking Words to Image Concepts.
CoRR
Raymond A. Yeh, Minh N. Do, Alexander G. Schwing
2018 — conf
Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation.
ECCV (1)
Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing
2018 J jnl
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation.
CoRR
Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing
2018 — conf
VideoMatch: Matching Based Video Object Segmentation.
ECCV (8)
Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing
2018 J jnl
VideoMatch: Matching based Video Object Segmentation.
CoRR
Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing
2017 J jnl
An Elevator Pitch on Deep Learning.
GetMobile Mob. Comput. Commun.
Yuan-Ting Hu, Alexander G. Schwing
2017 — conf
Asynchronous Parallel Coordinate Minimization for MAP Inference.
NIPS
Ofer Meshi, Alexander G. Schwing
2017 J jnl
Convolutional Image Captioning.
CoRR
Jyoti Aneja, Aditya Deshpande, Alexander G. Schwing
2017 A* conf
Creativity: Generating Diverse Questions Using Variational Autoencoders.
CVPR
Unnat Jain, Ziyu Zhang, Alexander G. Schwing
2017 J jnl
Creativity: Generating Diverse Questions using Variational Autoencoders.
CoRR
Unnat Jain, Ziyu Zhang, Alexander G. Schwing
2017 — conf
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space.
NIPS
Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik
2017 J jnl
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space.
CoRR
Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik
2017 — conf
Dualing GANs.
NIPS
Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel
2017 J jnl
Dualing GANs.
CoRR
Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel
2017 J jnl
Dynamic Bayesian Networks for Student Modeling.
IEEE Trans. Learn. Technol.
Tanja Käser, Severin Klingler, Alexander G. Schwing, Markus H. Gross
2017 — conf
High-Order Attention Models for Visual Question Answering.
NIPS
Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2017 J jnl
High-Order Attention Models for Visual Question Answering.
CoRR
Idan Schwartz, Alexander G. Schwing, Tamir Hazan
2017 — conf
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts.
NIPS
Raymond A. Yeh, Jinjun Xiong, Wen-mei W. Hwu, Minh N. Do, Alexander G. Schwing
2017 — conf
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening.
ICLR (Poster)
Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng
2017 — conf
MaskRNN: Instance Level Video Object Segmentation.
NIPS
Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing
2017 A* conf
Semantic Image Inpainting with Deep Generative Models.
CVPR
Raymond A. Yeh, Chen Chen, Teck-Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do
2016 J jnl
Blending Learning and Inference in Conditional Random Fields.
J. Mach. Learn. Res.
Tamir Hazan, Alexander G. Schwing, Raquel Urtasun
2016 — conf
Constraints Based Convex Belief Propagation.
NIPS
Yaniv Tenzer, Alexander G. Schwing, Kevin Gimpel, Tamir Hazan
2016 A* conf
Efficient Deep Learning for Stereo Matching.
CVPR
Wenjie Luo, Alexander G. Schwing, Raquel Urtasun
2016 — conf
Learning Deep Parsimonious Representations.
NIPS
Renjie Liao, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun
2016 J jnl
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening.
CoRR
Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng
2016 A* conf
Training Deep Neural Networks via Direct Loss Minimization.
ICML
Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun
2015 J jnl
Direct Loss Minimization for Training Deep Neural Nets.
CoRR
Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun
2015 J jnl
Fully Connected Deep Structured Networks.
CoRR
Alexander G. Schwing, Raquel Urtasun
2015 A* conf
Learning Deep Structured Models.
ICML
Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun
2015 — conf
Learning Deep Structured Models.
ICLR (Workshop)
Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun
2015 A* conf
Learning to segment under various forms of weak supervision.
CVPR
Jia Xu, Alexander G. Schwing, Raquel Urtasun
2015 A* conf
Monocular Object Instance Segmentation and Depth Ordering with CNNs.
ICCV
Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun
2015 J jnl
Monocular Object Instance Segmentation and Depth Ordering with CNNs.
CoRR
Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun
2015 A* conf
Rent3D: Floor-plan priors for monocular layout estimation.
CVPR
Chenxi Liu, Alexander G. Schwing, Kaustav Kundu, Raquel Urtasun, Sanja Fidler
2015 — conf
Smooth and Strong: MAP Inference with Linear Convergence.
NIPS
Ofer Meshi, Mehrdad Mahdavi, Alexander G. Schwing
2015 J jnl
Statistical Inference, Learning and Models in Big Data.
CoRR
Beate Franke, Jean-François Plante, Ribana Roscher, Annie Lee, Cathal Smyth, Armin Hatefi, Fuqi Chen, Einat Gil, Alexander G. Schwing, Alessandro Selvitella, Michael M. Hoffman, Roger B. Grosse, Dieter Hendricks, Nancy Reid
2014 B conf
Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks.
Intelligent Tutoring Systems
Tanja Käser, Severin Klingler, Alexander G. Schwing, Markus H. Gross
2014 A conf
Computational Education using Latent Structured Prediction.
AISTATS
Tanja Käser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross
2014 — conf
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials.
NIPS
Shenlong Wang, Alexander G. Schwing, Raquel Urtasun
2014 A* conf
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm.
ICML
Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2014 — conf
Match Box: Indoor Image Matching via Box-Like Scene Estimation.
3DV
Filip Srajer, Alexander G. Schwing, Marc Pollefeys, Tomás Pajdla
2014 — conf
Message Passing Inference for Large Scale Graphical Models with High Order Potentials.
NIPS
Jian Zhang, Alexander G. Schwing, Raquel Urtasun
2014 — conf
Reliable extraction of the mid-sagittal plane in 3D brain MRI via hierarchical landmark detection.
ISBI
Alexander G. Schwing, Yefeng Zheng
2014 A* conf
Tell Me What You See and I Will Show You Where It Is.
CVPR
Jia Xu, Alexander G. Schwing, Raquel Urtasun
2013 A* conf
Box in the Box: Joint 3D Layout and Object Reasoning from Single Images.
ICCV
Alexander G. Schwing, Sanja Fidler, Marc Pollefeys, Raquel Urtasun
2013 A* conf
Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors.
ICCV
Jian Zhang, Chen Kan, Alexander G. Schwing, Raquel Urtasun
2013 — —
Inference and learning algorithms with applications to 3D indoor scene understanding.
Alexander G. Schwing
2013 — conf
Latent Structured Active Learning.
NIPS
Wenjie Luo, Alexander G. Schwing, Raquel Urtasun
2012 — conf
Efficient Exact Inference for 3D Indoor Scene Understanding.
ECCV (6)
Alexander G. Schwing, Raquel Urtasun
2012 A* conf
Efficient Structured Prediction with Latent Variables for General Graphical Models.
ICML
Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2012 A* conf
Efficient structured prediction for 3D indoor scene understanding.
CVPR
Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2012 — conf
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins.
NIPS
Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2011 A* conf
Adaptive random forest - How many "experts" to ask before making a decision?
CVPR
Alexander G. Schwing, Christopher Zach, Yefeng Zheng, Marc Pollefeys
2011 A* conf
Distributed message passing for large scale graphical models.
CVPR
Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2011 — conf
Fully automatic segmentation of wrist bones for arthritis patients.
ISBI
Martin Koch, Alexander G. Schwing, Dorin Comaniciu, Marc Pollefeys
2007 — conf
Design of Single-Group Multicasting-Beamformers.
ICC
Raphael Hunger, David A. Schmidt, Michael Joham, Alexander G. Schwing, Wolfgang Utschick