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ORCIDAlexander G. Schwing
Alexander Gerhard Schwing
Person information
- affiliation: University of Illinois at Urbana-Champaign, IL, USA
- affiliation (former): ETH Zurich, Computer Science Department, Switzerland
- affiliation (former): Technical University Munich, Department of Electrical Engineering and Information Technology, Germany
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Books and Theses
- 2013
[b1]Alexander G. Schwing:
Inference and learning algorithms with applications to 3D indoor scene understanding. ETH Zurich, Zürich, Switzerland, 2013
Journal Articles
- 2023
- [j5]Christian Bauckhage, Wolfgang Förstner, Juergen Gall, Michael Möller, Alexander G. Schwing:
Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021). Int. J. Comput. Vis. 131(5): 1210 (2023) - 2021
- [j4]Kanika Narang
, Yitong Song, Alexander G. Schwing, Hari Sundaram:
FuseRec: fusing user and item homophily modeling with temporal recommender systems. Data Min. Knowl. Discov. 35(3): 837-862 (2021) - 2017
- [j3]Yuan-Ting Hu, Alexander G. Schwing:
An Elevator Pitch on Deep Learning. GetMobile Mob. Comput. Commun. 21(1): 14-18 (2017) - [j2]Tanja Käser, Severin Klingler, Alexander G. Schwing, Markus H. Gross:
Dynamic Bayesian Networks for Student Modeling. IEEE Trans. Learn. Technol. 10(4): 450-462 (2017) - 2016
- [j1]Tamir Hazan, Alexander G. Schwing, Raquel Urtasun:
Blending Learning and Inference in Conditional Random Fields. J. Mach. Learn. Res. 17: 237:1-237:25 (2016)
Conference and Workshop Papers
- 2024
- [c146]Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan:
Layer Collaboration in the Forward-Forward Algorithm. AAAI 2024: 14141-14148 - [c145]Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang:
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh. CVPR 2024: 2059-2069 - [c144]Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Joon-Young Lee, Alexander G. Schwing:
Putting the Object Back into Video Object Segmentation. CVPR 2024: 3151-3161 - [c143]Zhenggang Tang, Zhongzheng Ren, Xiaoming Zhao, Bowen Wen, Jonathan Tremblay, Stan Birchfield, Alexander G. Schwing:
NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows. CVPR 2024: 10293-10303 - [c142]Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alexander G. Schwing:
Pseudo-Generalized Dynamic View Synthesis from a Video. ICLR 2024 - [c141]Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha:
Robust Model-Based Optimization for Challenging Fitness Landscapes. ICLR 2024 - [c140]Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. ICML 2024 - 2023
- [c139]Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing:
Occupancy Planes for Single-View RGB-D Human Reconstruction. AAAI 2023: 3633-3641 - [c138]Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui:
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation. CVPR 2023: 4456-4465 - [c137]Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing:
Context-Aware Relative Object Queries to Unify Video Instance and Panoptic Segmentation. CVPR 2023: 6377-6386 - [c136]Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li:
AutoFocusFormer: Image Segmentation off the Grid. CVPR 2023: 18227-18236 - [c135]Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Alexander G. Schwing, Joon-Young Lee:
Tracking Anything with Decoupled Video Segmentation. ICCV 2023: 1316-1326 - [c134]Feng Wang, Manling Li, Xudong Lin, Hairong Lv, Alexander G. Schwing, Heng Ji:
Learning to Decompose Visual Features with Latent Textual Prompts. ICLR 2023 - [c133]Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista:
Diffusion Probabilistic Fields. ICLR 2023 - [c132]Yuan-Ting Hu, Alexander G. Schwing, Raymond A. Yeh:
Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction. ICML 2023: 13599-13609 - [c131]Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield:
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. ICRA 2023: 1778-1785 - [c130]Weiman Yan, Ernest Wu, Alexander G. Schwing, Elyse Rosenbaum:
Semantic Autoencoder for Modeling BEOL and MOL Dielectric Lifetime Distributions. IRPS 2023: 1-9 - [c129]Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories. NeurIPS 2023 - 2022
- [c128]Peiye Zhuang, Liqian Ma, Sanmi Koyejo, Alexander G. Schwing:
Controllable Radiance Fields for Dynamic Face Synthesis. 3DV 2022: 1-11 - [c127]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:
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. AAAI 2022: 11200-11208 - [c126]Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander G. Schwing:
Equivariance Discovery by Learned Parameter-Sharing. AISTATS 2022: 1527-1545 - [c125]Raymond A. Yeh, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing:
Total Variation Optimization Layers for Computer Vision. CVPR 2022: 701-711 - [c124]Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. CVPR 2022: 1280-1289 - [c123]Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing:
Joint Forecasting of Panoptic Segmentations with Difference Attention. CVPR Workshops 2022: 2558-2567 - [c122]Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing:
Joint Forecasting of Panoptic Segmentations with Difference Attention. CVPR 2022: 2617-2626 - [c121]Zhongzheng Ren, Aseem Agarwala, Bryan C. Russell, Alexander G. Schwing, Oliver Wang:
Neural Volumetric Object Selection. CVPR 2022: 6123-6132 - [c120]Xiaoming Zhao, Fangchang Ma, David Güera, Zhile Ren, Alexander G. Schwing, Alex Colburn:
Generative Multiplane Images: Making a 2D GAN 3D-Aware. ECCV (5) 2022: 18-35 - [c119]Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing:
Initialization and Alignment for Adversarial Texture Optimization. ECCV Workshops (3) 2022: 587-604 - [c118]Ho Kei Cheng, Alexander G. Schwing:
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model. ECCV (28) 2022: 640-658 - [c117]Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing:
Initialization and Alignment for Adversarial Texture Optimization. ECCV (27) 2022: 641-658 - [c116]Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing:
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language. ICML 2022: 14073-14093 - [c115]Tom Braude, Idan Schwartz, Alexander G. Schwing, Ariel Shamir:
Ordered Attention for Coherent Visual Storytelling. ACM Multimedia 2022: 3310-3318 - [c114]Tiantian Fang, Ruoyu Sun, Alexander G. Schwing:
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data. NeurIPS 2022 - [c113]Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan:
On the Importance of Gradient Norm in PAC-Bayesian Bounds. NeurIPS 2022 - [c112]Renan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing, Minh N. Do, Raymond A. Yeh:
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks. NeurIPS 2022 - [c111]Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations. NeurIPS 2022 - 2021
- [c110]Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing:
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data. CVPR 2021: 1418-1428 - [c109]Colin Graber, Grace Tsai, Michael Firman, Gabriel J. Brostow, Alexander G. Schwing:
Panoptic Segmentation Forecasting. CVPR Workshops 2021: 2279-2288 - [c108]Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing:
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data. CVPR Workshops 2021: 3364-3374 - [c107]Colin Graber, Grace Tsai, Michael Firman, Gabriel J. Brostow, Alexander G. Schwing:
Panoptic Segmentation Forecasting. CVPR 2021: 12517-12526 - [c106]Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar:
3D Spatial Recognition Without Spatially Labeled 3D. CVPR 2021: 13204-13213 - [c105]Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing:
Assignment-Space-based Multi-Object Tracking and Segmentation. ICCV 2021: 13578-13587 - [c104]Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing:
GridToPix: Training Embodied Agents with Minimal Supervision. ICCV 2021: 15121-15131 - [c103]Shivansh Patel, Saim Wani, Unnat Jain, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang:
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents. ICCV 2021: 15993-15943 - [c102]Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing:
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation. ICCV 2021: 16107-16116 - [c101]Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing:
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. ICLR 2021 - [c100]Iou-Jen Liu, Unnat Jain, Raymond A. Yeh, Alexander G. Schwing:
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning. ICML 2021: 6826-6836 - [c99]Iou-Jen Liu, Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing:
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning. IROS 2021: 5603-5610 - [c98]Raghavendra Pradyumna Pothukuchi, Sweta Yamini Pothukuchi, Petros G. Voulgaris, Alexander G. Schwing, Josep Torrellas:
Maya: Using Formal Control to Obfuscate Power Side Channels. ISCA 2021: 888-901 - [c97]Jyoti Aneja, Alexander G. Schwing, Jan Kautz, Arash Vahdat:
A Contrastive Learning Approach for Training Variational Autoencoder Priors. NeurIPS 2021: 480-493 - [c96]Zhongzheng Ren, Xiaoming Zhao, Alexander G. Schwing:
Class-agnostic Reconstruction of Dynamic Objects from Videos. NeurIPS 2021: 509-522 - [c95]Bowen Cheng, Alexander G. Schwing, Alexander Kirillov:
Per-Pixel Classification is Not All You Need for Semantic Segmentation. NeurIPS 2021: 17864-17875 - [c94]Luca Weihs, Unnat Jain, Iou-Jen Liu, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
Bridging the Imitation Gap by Adaptive Insubordination. NeurIPS 2021: 19134-19146 - [c93]Itai Gat, Idan Schwartz, Alexander G. Schwing:
Perceptual Score: What Data Modalities Does Your Model Perceive? NeurIPS 2021: 21630-21643 - [c92]Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing:
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. SIGIR 2021: 1389-1399 - 2020
- [c91]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:
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 2020: 212-218 - [c90]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:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. CVPR 2020: 2825-2835 - [c89]Safa Messaoud, Maghav Kumar, Alexander G. Schwing:
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning? CVPR Workshops 2020: 3313-3323 - [c88]Colin Graber, Alexander G. Schwing:
Dynamic Neural Relational Inference for Forecasting Trajectories. CVPR Workshops 2020: 4383-4392 - [c87]Safa Messaoud, Maghav Kumar, Alexander G. Schwing:
Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning? CVPR 2020: 7586-7596 - [c86]Colin Graber, Alexander G. Schwing:
Dynamic Neural Relational Inference. CVPR 2020: 8510-8519 - [c85]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz:
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. CVPR 2020: 10595-10604 - [c84]Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing:
Proposal-Based Video Completion. ECCV (27) 2020: 38-54 - [c83]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz:
UFO2: A Unified Framework Towards Omni-supervised Object Detection. ECCV (19) 2020: 288-313 - [c82]Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks. ECCV (5) 2020: 471-490 - [c81]Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal:
Spatially Aware Multimodal Transformers for TextVQA. ECCV (9) 2020: 715-732 - [c80]Yuanyi Zhong, Alexander G. Schwing, Jian Peng:
Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning. ICASSP 2020: 3672-3676 - [c79]Ruoyu Sun, Tiantian Fang, Alexander G. Schwing:
Towards a Better Global Loss Landscape of GANs. NeurIPS 2020 - [c78]Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies. NeurIPS 2020 - [c77]Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing:
High-Throughput Synchronous Deep RL. NeurIPS 2020 - [c76]Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing:
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning. NeurIPS 2020 - 2019
- [c75]Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing:
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. CoRL 2019: 590-602 - [c74]Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing:
Factor Graph Attention. CVPR 2019: 2039-2048 - [c73]Yuan-Ting Hu, Hong-Shuo Chen, Kexin Hui, Jia-Bin Huang, Alexander G. Schwing:
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines. CVPR 2019: 3105-3115 - [c72]Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy:
Diverse Generation for Multi-Agent Sports Games. CVPR 2019: 4610-4619 - [c71]Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi:
Two Body Problem: Collaborative Visual Task Completion. CVPR 2019: 6689-6699 - [c70]Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing:
Max-Sliced Wasserstein Distance and Its Use for GANs. CVPR 2019: 10648-10656 - [c69]Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David A. Forsyth:
Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech. CVPR 2019: 10695-10704 - [c68]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
A Simple Baseline for Audio-Visual Scene-Aware Dialog. CVPR 2019: 12548-12558 - [c67]Jyoti Aneja, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing:
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning. ICCV 2019: 4260-4269 - [c66]Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
ViCo: Word Embeddings From Visual Co-Occurrences. ICCV 2019: 7424-7433 - [c65]Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques. ICCV 2019: 9676-9684 - [c64]Iou-Jen Liu, Jian Peng, Alexander G. Schwing:
Knowledge Flow: Improve Upon Your Teachers. ICLR (Poster) 2019 - [c63]Peiye Zhuang, Alexander G. Schwing, Oluwasanmi Koyejo:
FMRI Data Augmentation Via Synthesis. ISBI 2019: 1783-1787 - [c62]Youjie Li, Iou-Jen Liu, Yifan Yuan, Deming Chen, Alexander G. Schwing, Jian Huang:
Accelerating distributed reinforcement learning with in-switch computing. ISCA 2019: 279-291 - [c61]Matthew Tomei, Alexander G. Schwing, Satish Narayanasamy, Rakesh Kumar:
Sensor Training Data Reduction for Autonomous Vehicles. HotEdgeVideo@MobiCom 2019: 45-50 - [c60]Noyan C. Sevüktekin, Alexander G. Schwing, Andrew C. Singer:
Distributed Estimation via Opinion Dynamics. MWSCAS 2019: 476-480 - [c59]Tiantian Fang, Alexander G. Schwing:
Co-Generation with GANs using AIS based HMC. NeurIPS 2019: 5800-5811 - [c58]Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing:
Chirality Nets for Human Pose Regression. NeurIPS 2019: 8161-8171 - [c57]Colin Graber, Alexander G. Schwing:
Graph Structured Prediction Energy Networks. NeurIPS 2019: 8687-8698 - [c56]Jingxiang Lin, Unnat Jain, Alexander G. Schwing:
TAB-VCR: Tags and Attributes based VCR Baselines. NeurIPS 2019: 15589-15602 - 2018
- [c55]Ishan Deshpande, Ziyu Zhang, Alexander G. Schwing:
Generative Modeling Using the Sliced Wasserstein Distance. CVPR 2018: 3483-3491 - [c54]Jyoti Aneja, Aditya Deshpande, Alexander G. Schwing:
Convolutional Image Captioning. CVPR 2018: 5561-5570 - [c53]Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing:
Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering. CVPR 2018: 5754-5763 - [c52]Raymond A. Yeh, Minh N. Do, Alexander G. Schwing:
Unsupervised Textual Grounding: Linking Words to Image Concepts. CVPR 2018: 6125-6134 - [c51]Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing:
VideoMatch: Matching Based Video Object Segmentation. ECCV (8) 2018: 56-73 - [c50]Medhini Narasimhan, Alexander G. Schwing:
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering. ECCV (8) 2018: 460-477 - [c49]Safa Messaoud, David A. Forsyth, Alexander G. Schwing:
Structural Consistency and Controllability for Diverse Colorization. ECCV (6) 2018: 603-619 - [c48]Moitreya Chatterjee, Alexander G. Schwing:
Diverse and Coherent Paragraph Generation from Images. ECCV (2) 2018: 747-763 - [c47]Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing:
Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation. ECCV (1) 2018: 813-830 - [c46]Raymond A. Yeh, Teck-Yian Lim, Chen Chen, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do:
Image Restoration with Deep Generative Models. ICASSP 2018: 6772-6776 - [c45]Keyi Yu, Yang Liu, Alexander G. Schwing, Jian Peng:
Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping. ICLR (Workshop) 2018 - [c44]Youjie Li, Jongse Park, Mohammad Alian, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander G. Schwing, Hadi Esmaeilzadeh, Nam Sung Kim:
A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks. MICRO 2018: 175-188 - [c43]Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing:
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. NeurIPS 2018: 2659-2670 - [c42]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS 2018: 5129-5139 - [c41]Colin Graber, Ofer Meshi, Alexander G. Schwing:
Deep Structured Prediction with Nonlinear Output Transformations. NeurIPS 2018: 6323-6334 - [c40]Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing:
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. NeurIPS 2018: 8056-8067 - 2017
- [c39]Unnat Jain, Ziyu Zhang, Alexander G. Schwing:
Creativity: Generating Diverse Questions Using Variational Autoencoders. CVPR 2017: 5415-5424 - [c38]Raymond A. Yeh, Chen Chen, Teck-Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do:
Semantic Image Inpainting with Deep Generative Models. CVPR 2017: 6882-6890 - [c37]Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng:
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening. ICLR (Poster) 2017 - [c36]Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing:
MaskRNN: Instance Level Video Object Segmentation. NIPS 2017: 325-334 - [c35]Raymond A. Yeh, Jinjun Xiong, Wen-Mei W. Hwu, Minh N. Do, Alexander G. Schwing:
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts. NIPS 2017: 1912-1922 - [c34]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
High-Order Attention Models for Visual Question Answering. NIPS 2017: 3664-3674 - [c33]Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel:
Dualing GANs. NIPS 2017: 5606-5616 - [c32]Ofer Meshi, Alexander G. Schwing:
Asynchronous Parallel Coordinate Minimization for MAP Inference. NIPS 2017: 5734-5744 - [c31]Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik:
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space. NIPS 2017: 5756-5766 - 2016
- [c30]Wenjie Luo, Alexander G. Schwing, Raquel Urtasun:
Efficient Deep Learning for Stereo Matching. CVPR 2016: 5695-5703 - [c29]Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun:
Training Deep Neural Networks via Direct Loss Minimization. ICML 2016: 2169-2177 - [c28]Yaniv Tenzer, Alexander G. Schwing, Kevin Gimpel, Tamir Hazan:
Constraints Based Convex Belief Propagation. NIPS 2016: 2532-2540 - [c27]Renjie Liao, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun:
Learning Deep Parsimonious Representations. NIPS 2016: 5076-5084 - 2015
- [c26]Chenxi Liu, Alexander G. Schwing, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
Rent3D: Floor-plan priors for monocular layout estimation. CVPR 2015: 3413-3421 - [c25]Jia Xu, Alexander G. Schwing, Raquel Urtasun:
Learning to segment under various forms of weak supervision. CVPR 2015: 3781-3790 - [c24]Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun:
Monocular Object Instance Segmentation and Depth Ordering with CNNs. ICCV 2015: 2614-2622 - [c23]Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun:
Learning Deep Structured Models. ICML 2015: 1785-1794 - [c22]Ofer Meshi, Mehrdad Mahdavi, Alexander G. Schwing:
Smooth and Strong: MAP Inference with Linear Convergence. NIPS 2015: 298-306 - [c21]Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun:
Learning Deep Structured Models. ICLR (Workshop) 2015 - 2014
- [c20]Filip Srajer, Alexander G. Schwing, Marc Pollefeys, Tomás Pajdla:
Match Box: Indoor Image Matching via Box-Like Scene Estimation. 3DV 2014: 705-712 - [c19]Tanja Käser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross:
Computational Education using Latent Structured Prediction. AISTATS 2014: 540-548 - [c18]Jia Xu, Alexander G. Schwing, Raquel Urtasun:
Tell Me What You See and I Will Show You Where It Is. CVPR 2014: 3190-3197 - [c17]Andrea Cohen, Alexander Gerhard Schwing, Marc Pollefeys:
Efficient Structured Parsing of Facades Using Dynamic Programming. CVPR 2014: 3206-3213 - [c16]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm. ICML 2014: 487-495 - [c15]Alexander G. Schwing, Yefeng Zheng:
Reliable extraction of the mid-sagittal plane in 3D brain MRI via hierarchical landmark detection. ISBI 2014: 213-216 - [c14]Tanja Käser, Severin Klingler, Alexander G. Schwing, Markus H. Gross:
Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks. Intelligent Tutoring Systems 2014: 188-198 - [c13]Shenlong Wang, Alexander G. Schwing, Raquel Urtasun:
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials. NIPS 2014: 936-944 - [c12]Jian Zhang, Alexander G. Schwing, Raquel Urtasun:
Message Passing Inference for Large Scale Graphical Models with High Order Potentials. NIPS 2014: 1134-1142 - 2013
- [c11]Alexander G. Schwing, Sanja Fidler, Marc Pollefeys, Raquel Urtasun:
Box in the Box: Joint 3D Layout and Object Reasoning from Single Images. ICCV 2013: 353-360 - [c10]Jian Zhang, Chen Kan, Alexander G. Schwing, Raquel Urtasun:
Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors. ICCV 2013: 1273-1280 - [c9]Wenjie Luo, Alexander G. Schwing, Raquel Urtasun:
Latent Structured Active Learning. NIPS 2013: 728-736 - 2012
- [c8]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Efficient structured prediction for 3D indoor scene understanding. CVPR 2012: 2815-2822 - [c7]Alexander G. Schwing, Raquel Urtasun:
Efficient Exact Inference for 3D Indoor Scene Understanding. ECCV (6) 2012: 299-313 - [c6]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Efficient Structured Prediction with Latent Variables for General Graphical Models. ICML 2012 - [c5]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins. NIPS 2012: 2393-2401 - 2011
- [c4]Alexander G. Schwing, Christopher Zach, Yefeng Zheng, Marc Pollefeys:
Adaptive random forest - How many "experts" to ask before making a decision? CVPR 2011: 1377-1384 - [c3]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Distributed message passing for large scale graphical models. CVPR 2011: 1833-1840 - [c2]Martin Koch, Alexander G. Schwing, Dorin Comaniciu, Marc Pollefeys:
Fully automatic segmentation of wrist bones for arthritis patients. ISBI 2011: 636-640 - 2007
- [c1]Raphael Hunger, David A. Schmidt, Michael Joham, Alexander G. Schwing, Wolfgang Utschick:
Design of Single-Group Multicasting-Beamformers. ICC 2007: 2499-2505
Editorship
- 2021
- [e1]Christian Bauckhage, Juergen Gall, Alexander G. Schwing:
Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings. Lecture Notes in Computer Science 13024, Springer 2021, ISBN 978-3-030-92658-8 [contents]
Informal and Other Publications
- 2024
- [i110]Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing:
OW-VISCap: Open-World Video Instance Segmentation and Captioning. CoRR abs/2404.03657 (2024) - [i109]Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang:
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh. CoRR abs/2404.07991 (2024) - [i108]Zhenggang Tang, Zhongzheng Ren, Xiaoming Zhao, Bowen Wen, Jonathan Tremblay, Stan Birchfield, Alexander G. Schwing:
NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows. CoRR abs/2406.10543 (2024) - [i107]Zhenggang Tang, Peiye Zhuang, Chaoyang Wang, Aliaksandr Siarohin, Yash Kant, Alexander G. Schwing, Sergey Tulyakov, Hsin-Ying Lee:
Pixel-Aligned Multi-View Generation with Depth Guided Decoder. CoRR abs/2408.14016 (2024) - 2023
- [i106]Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista:
Diffusion Probabilistic Fields. CoRR abs/2303.00165 (2023) - [i105]Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li:
AutoFocusFormer: Image Segmentation off the Grid. CoRR abs/2304.12406 (2023) - [i104]Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan:
Layer Collaboration in the Forward-Forward Algorithm. CoRR abs/2305.12393 (2023) - [i103]Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha:
Property-Guided Generative Modelling for Robust Model-Based Design with Imbalanced Data. CoRR abs/2305.13650 (2023) - [i102]Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Alexander G. Schwing, Joon-Young Lee:
Tracking Anything with Decoupled Video Segmentation. CoRR abs/2309.03903 (2023) - [i101]Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alexander G. Schwing:
Is Generalized Dynamic Novel View Synthesis from Monocular Videos Possible Today? CoRR abs/2310.08587 (2023) - [i100]Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Joon-Young Lee, Alexander G. Schwing:
Putting the Object Back into Video Object Segmentation. CoRR abs/2310.12982 (2023) - [i99]Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories. CoRR abs/2311.01329 (2023) - [i98]Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. CoRR abs/2311.01331 (2023) - [i97]Pengsheng Guo, Hans Hao, Adam Caccavale, Zhongzheng Ren, Edward Zhang, Qi Shan, Aditya Sankar, Alexander G. Schwing, Alex Colburn, Fangchang Ma:
StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D. CoRR abs/2312.02189 (2023) - [i96]Yen-Chi Cheng, Chieh Hubert Lin, Chaoyang Wang, Yash Kant, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui, Hsin-Ying Lee:
Virtual Pets: Animatable Animal Generation in 3D Scenes. CoRR abs/2312.14154 (2023) - 2022
- [i95]Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander G. Schwing:
Equivariance Discovery by Learned Parameter-Sharing. CoRR abs/2204.03640 (2022) - [i94]Raymond A. Yeh, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing:
Total Variation Optimization Layers for Computer Vision. CoRR abs/2204.03643 (2022) - [i93]Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing:
Joint Forecasting of Panoptic Segmentations with Difference Attention. CoRR abs/2204.07157 (2022) - [i92]Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing:
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language. CoRR abs/2205.06111 (2022) - [i91]Zhongzheng Ren, Aseem Agarwala, Bryan C. Russell, Alexander G. Schwing, Oliver Wang:
Neural Volumetric Object Selection. CoRR abs/2205.14929 (2022) - [i90]Ho Kei Cheng, Alexander G. Schwing:
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model. CoRR abs/2207.07115 (2022) - [i89]Xiaoming Zhao, Fangchang Ma, David Güera, Zhile Ren, Alexander G. Schwing, Alex Colburn:
Generative Multiplane Images: Making a 2D GAN 3D-Aware. CoRR abs/2207.10642 (2022) - [i88]Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing:
Initialization and Alignment for Adversarial Texture Optimization. CoRR abs/2207.14289 (2022) - [i87]Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing:
Occupancy Planes for Single-view RGB-D Human Reconstruction. CoRR abs/2208.02817 (2022) - [i86]Feng Wang, Manling Li, Xudong Lin, Hairong Lv, Alexander G. Schwing, Heng Ji:
Learning to Decompose Visual Features with Latent Textual Prompts. CoRR abs/2210.04287 (2022) - [i85]Peiye Zhuang, Liqian Ma, Oluwasanmi Koyejo, Alexander G. Schwing:
Controllable Radiance Fields for Dynamic Face Synthesis. CoRR abs/2210.05825 (2022) - [i84]Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan:
On the Importance of Gradient Norm in PAC-Bayesian Bounds. CoRR abs/2210.06143 (2022) - [i83]Renan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing, Minh N. Do, Raymond A. Yeh:
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks. CoRR abs/2210.08001 (2022) - [i82]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:
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. CoRR abs/2210.08974 (2022) - [i81]Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations. CoRR abs/2210.09496 (2022) - [i80]Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles T. Loop, Alexander G. Schwing, Stan Birchfield:
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. CoRR abs/2210.11668 (2022) - [i79]Tiantian Fang, Ruoyu Sun, Alexander G. Schwing:
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data. CoRR abs/2211.14694 (2022) - [i78]Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui:
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation. CoRR abs/2212.04493 (2022) - 2021
- [i77]Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing:
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. CoRR abs/2102.01187 (2021) - [i76]Colin Graber, Grace Tsai, Michael Firman, Gabriel J. Brostow, Alexander G. Schwing:
Panoptic Segmentation Forecasting. CoRR abs/2104.03962 (2021) - [i75]Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing:
GridToPix: Training Embodied Agents with Minimal Supervision. CoRR abs/2105.00931 (2021) - [i74]Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing:
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. CoRR abs/2105.06441 (2021) - [i73]Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar:
3D Spatial Recognition without Spatially Labeled 3D. CoRR abs/2105.06461 (2021) - [i72]Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing:
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data. CoRR abs/2105.08612 (2021) - [i71]Ameya D. Patil, Michael Tuttle, Alexander G. Schwing, Naresh R. Shanbhag:
Robustifying 𝓁∞ Adversarial Training to the Union of Perturbation Models. CoRR abs/2105.14710 (2021) - [i70]Bowen Cheng, Alexander G. Schwing, Alexander Kirillov:
Per-Pixel Classification is Not All You Need for Semantic Segmentation. CoRR abs/2107.06278 (2021) - [i69]Iou-Jen Liu, Unnat Jain, Raymond A. Yeh, Alexander G. Schwing:
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning. CoRR abs/2107.11444 (2021) - [i68]Tom Braude, Idan Schwartz, Alexander G. Schwing, Ariel Shamir:
Towards Coherent Visual Storytelling with Ordered Image Attention. CoRR abs/2108.02180 (2021) - [i67]Iou-Jen Liu, Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing:
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning. CoRR abs/2108.03319 (2021) - [i66]Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing:
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation. CoRR abs/2108.11550 (2021) - [i65]Shivansh Patel, Saim Wani, Unnat Jain, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang:
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents. CoRR abs/2110.05769 (2021) - [i64]Anurendra Kumar, Keval Morabia, Jingjin Wang, Kevin Chen-Chuan Chang, Alexander G. Schwing:
CoVA: Context-aware Visual Attention for Webpage Information Extraction. CoRR abs/2110.12320 (2021) - [i63]Itai Gat, Idan Schwartz, Alexander G. Schwing:
Perceptual Score: What Data Modalities Does Your Model Perceive? CoRR abs/2110.14375 (2021) - [i62]Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. CoRR abs/2112.01527 (2021) - [i61]Zhongzheng Ren, Xiaoming Zhao, Alexander G. Schwing:
Class-agnostic Reconstruction of Dynamic Objects from Videos. CoRR abs/2112.02091 (2021) - [i60]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:
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. CoRR abs/2112.10728 (2021) - [i59]Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, Alexander G. Schwing:
Mask2Former for Video Instance Segmentation. CoRR abs/2112.10764 (2021) - 2020
- [i58]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:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. CoRR abs/2001.01306 (2020) - [i57]Yuanyi Zhong, Alexander G. Schwing, Jian Peng:
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning. CoRR abs/2002.09136 (2020) - [i56]Yossi Adi, Yaniv Nemcovsky, Alexander G. Schwing, Tamir Hazan:
On the generalization of bayesian deep nets for multi-class classification. CoRR abs/2002.09866 (2020) - [i55]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz:
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection. CoRR abs/2004.04725 (2020) - [i54]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:
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR abs/2004.09754 (2020) - [i53]Safa Messaoud, Maghav Kumar, Alexander G. Schwing:
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning? CoRR abs/2005.01508 (2020) - [i52]Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing:
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning. CoRR abs/2007.01293 (2020) - [i51]Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks. CoRR abs/2007.04979 (2020) - [i50]Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal:
Spatially Aware Multimodal Transformers for TextVQA. CoRR abs/2007.12146 (2020) - [i49]Luca Weihs, Unnat Jain, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
Bridging the Imitation Gap by Adaptive Insubordination. CoRR abs/2007.12173 (2020) - [i48]Jyoti Aneja, Alexander G. Schwing, Jan Kautz, Arash Vahdat:
NCP-VAE: Variational Autoencoders with Noise Contrastive Priors. CoRR abs/2010.02917 (2020) - [i47]Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies. CoRR abs/2010.10802 (2020) - [i46]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz:
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection. CoRR abs/2010.10804 (2020) - [i45]Ruoyu Sun, Tiantian Fang, Alexander G. Schwing:
Towards a Better Global Loss Landscape of GANs. CoRR abs/2011.04926 (2020) - [i44]Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing:
High-Throughput Synchronous Deep RL. CoRR abs/2012.09849 (2020) - 2019
- [i43]Jingxiang Lin, Unnat Jain, Alexander G. Schwing:
A Simple Baseline for Visual Commonsense Reasoning. ViGIL@NeurIPS 2019 - [i42]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:
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR abs/1902.00522 (2019) - [i41]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
A Simple Baseline for Audio-Visual Scene-Aware Dialog. CoRR abs/1904.05876 (2019) - [i40]Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing:
Max-Sliced Wasserstein Distance and its use for GANs. CoRR abs/1904.05877 (2019) - [i39]Iou-Jen Liu, Jian Peng, Alexander G. Schwing:
Knowledge Flow: Improve Upon Your Teachers. CoRR abs/1904.05878 (2019) - [i38]Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi:
Two Body Problem: Collaborative Visual Task Completion. CoRR abs/1904.05879 (2019) - [i37]Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing:
Factor Graph Attention. CoRR abs/1904.05880 (2019) - [i36]Peiye Zhuang, Alexander G. Schwing, Sanmi Koyejo:
FMRI data augmentation via synthesis. CoRR abs/1907.06134 (2019) - [i35]Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
ViCo: Word Embeddings from Visual Co-occurrences. CoRR abs/1908.08527 (2019) - [i34]Jyoti Aneja, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing:
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning. CoRR abs/1908.08529 (2019) - [i33]Colin Graber, Alexander G. Schwing:
Graph Structured Prediction Energy Networks. CoRR abs/1910.14670 (2019) - [i32]Jingxiang Lin, Unnat Jain, Alexander G. Schwing:
TAB-VCR: Tags and Attributes based VCR Baselines. CoRR abs/1910.14671 (2019) - [i31]Tiantian Fang, Alexander G. Schwing:
Co-Generation with GANs using AIS based HMC. CoRR abs/1910.14673 (2019) - [i30]Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing:
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. CoRR abs/1911.00025 (2019) - [i29]Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing:
Chirality Nets for Human Pose Regression. CoRR abs/1911.00029 (2019) - [i28]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:
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR abs/1911.11779 (2019) - [i27]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:
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics. CoRR abs/1912.06794 (2019) - 2018
- [i26]Raymond A. Yeh, Minh N. Do, Alexander G. Schwing:
Unsupervised Textual Grounding: Linking Words to Image Concepts. CoRR abs/1803.11185 (2018) - [i25]Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing:
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering. CoRR abs/1803.11186 (2018) - [i24]Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing:
MaskRNN: Instance Level Video Object Segmentation. CoRR abs/1803.11187 (2018) - [i23]Ishan Deshpande, Ziyu Zhang, Alexander G. Schwing:
Generative Modeling using the Sliced Wasserstein Distance. CoRR abs/1803.11188 (2018) - [i22]Raymond A. Yeh, Jinjun Xiong, Wen-mei W. Hwu, Minh N. Do, Alexander G. Schwing:
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts. CoRR abs/1803.11209 (2018) - [i21]Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David A. Forsyth:
Diverse and Controllable Image Captioning with Part-of-Speech Guidance. CoRR abs/1805.12589 (2018) - [i20]Moitreya Chatterjee, Alexander G. Schwing:
Diverse and Coherent Paragraph Generation from Images. CoRR abs/1809.00681 (2018) - [i19]Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing:
VideoMatch: Matching based Video Object Segmentation. CoRR abs/1809.01123 (2018) - [i18]Medhini Narasimhan, Alexander G. Schwing:
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering. CoRR abs/1809.01124 (2018) - [i17]Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing:
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation. CoRR abs/1809.01125 (2018) - [i16]Safa Messaoud, David A. Forsyth, Alexander G. Schwing:
Structural Consistency and Controllability for Diverse Colorization. CoRR abs/1809.02129 (2018) - [i15]Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing:
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. CoRR abs/1811.00538 (2018) - [i14]Colin Graber, Ofer Meshi, Alexander G. Schwing:
Deep Structured Prediction with Nonlinear Output Transformations. CoRR abs/1811.00539 (2018) - [i13]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR abs/1811.03617 (2018) - [i12]Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing:
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. CoRR abs/1811.03619 (2018) - [i11]Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques. CoRR abs/1811.05967 (2018) - 2017
- [i10]Unnat Jain, Ziyu Zhang, Alexander G. Schwing:
Creativity: Generating Diverse Questions using Variational Autoencoders. CoRR abs/1704.03493 (2017) - [i9]Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel:
Dualing GANs. CoRR abs/1706.06216 (2017) - [i8]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
High-Order Attention Models for Visual Question Answering. CoRR abs/1711.04323 (2017) - [i7]Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik:
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space. CoRR abs/1711.07068 (2017) - [i6]Jyoti Aneja, Aditya Deshpande, Alexander G. Schwing:
Convolutional Image Captioning. CoRR abs/1711.09151 (2017) - 2016
- [i5]Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng:
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening. CoRR abs/1611.01606 (2016) - 2015
- [i4]Alexander G. Schwing, Raquel Urtasun:
Fully Connected Deep Structured Networks. CoRR abs/1503.02351 (2015) - [i3]Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun:
Monocular Object Instance Segmentation and Depth Ordering with CNNs. CoRR abs/1505.03159 (2015) - [i2]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:
Statistical Inference, Learning and Models in Big Data. CoRR abs/1509.02900 (2015) - [i1]Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun:
Direct Loss Minimization for Training Deep Neural Nets. CoRR abs/1511.06411 (2015)
Coauthor Index
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