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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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2020 – today
- 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 - [i111]Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing:
OW-VISCap: Open-World Video Instance Segmentation and Captioning. CoRR abs/2404.03657 (2024) - [i110]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) - [i109]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) - [i108]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) - [i107]Kai Yan, Alexander G. Schwing, Yu-Xiong Wang:
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers. CoRR abs/2410.24108 (2024) - 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) - [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 - [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
- [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 - [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
- [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) - [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 - [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] - [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
- [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]