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- B. Cheng, A.G. Schwing, A. Kirillov; Per-pixel Segmentation is NOT all you need for Semantic Segmentation; Neural Information Processing Systems (NeurIPS); 2021
- Z. Ren*, X. Zhao*, A.G. Schwing; Class-agnostic Reconstruction of Dynamic Objects From Videos; Neural Information Processing Systems (NeurIPS); 2021
- I. Gat, I. Schwartz, A.G. Schwing; Perceptual Score: What Data Modalities does your Model Perceive?; Neural Information Processing Systems (NeurIPS); 2021
- J. Aneja, A.G. Schwing, J. Kautz, A. Vahdat; A Contrastive Learning Approach for Training Variational Autoencoder Priors; Neural Information Processing Systems (NeurIPS); 2021
- L. Weihs*, U. Jain*, I.-J. Liu, J. Salvador, S. Lazebnik, A. Kembhavi, A.G. Schwing; Bridging the Imitation Gap by Adaptive Insubordination; Neural Information Processing Systems (NeurIPS); 2021
- X. Zhao, H. Agrawal, D. Batra, A.G. Schwing; The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation; Int.'l Conf. on Computer Vision (ICCV); 2021
- U. Jain, I.-J. Liu, S. Lazebnik, A. Kembhavi, L. Weihs, A.G. Schwing; GridToPix: Training Embodied Agents With Minimal Supervision; Int.'l Conf. on Computer Vision (ICCV); 2021
- I.-J. Liu, U. Jain, R. Yeh, A.G. Schwing; Cooperative Exploration for Multi-Agent Deep Reinforcement Learning; Int.'l Conf. on Machine Learning (ICML); 2021
- Y.-T. Hu, J. Wang, R.A. Yeh, A.G. Schwing; SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data; IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2021
- C. Graber, G. Tsai, M. Firman, G. Brostow, A.G. Schwing; Panoptic Segmentation Forecasting; IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2021
- Z. Ren, I. Misra, A.G. Schwing, R. Girdhar; 3D Spatial Recognition without Spatially Labeled 3D; IEEE Conf. on Computer Vision and Pattern Recognition (CVPR); 2021
- P. Zhuang, O. Koyejo, A.G. Schwing; Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation; Int.'l Conf. on Learning Representations (ICLR); 2021
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