Alexander Gerhard Schwing

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Research Output

  • 49 Conference contribution
  • 17 Conference article
  • 5 Article
2019

Accelerating distributed reinforcement learning with in-switch computing

Li, Y., Liu, I. J., Yuan, Y., Chen, D., Schwing, A. & Huang, J., Jun 22 2019, ISCA 2019 - Proceedings of the 2019 46th International Symposium on Computer Architecture. Institute of Electrical and Electronics Engineers Inc., p. 279-291 13 p. (Proceedings - International Symposium on Computer Architecture).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

A simple baseline for audio-visual scene-aware dialog

Schwartz, I., Schwing, A. G. & Hazan, T., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 12540-12550 11 p. 8953318. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Distributed Estimation via Opinion Dynamics

Sevuktekin, N. C., Schwing, A. G. & Singer, A. C., Aug 2019, 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems, MWSCAS 2019. Institute of Electrical and Electronics Engineers Inc., p. 476-480 5 p. 8885091. (Midwest Symposium on Circuits and Systems; vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Diverse generation for multi-agent sports games

Yeh, R. A., Schwing, A. G., Huang, J. & Murphy, K., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 4605-4614 10 p. 8953867. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Enabling real-time multi-messenger astrophysics discoveries with deep learning

Huerta, E. A., Allen, G., Andreoni, I., Antelis, J. M., Bachelet, E., Berriman, G. B., Bianco, F. B., Biswas, R., Carrasco kind, M., Chard, K., Cho, M., Cowperthwaite, P. S., Etienne, Z. B., Fishbach, M., Forster, F., George, D., Gibbs, T., Graham, M., Gropp, W., Gruendl, R. & 40 others, Gupta, A., Haas, R., Habib, S., Jennings, E., Johnson, M. W. G., Katsavounidis, E., Katz, D. S., Khan, A., Kindratenko, V., Kramer, W. T. C., Liu, X., Mahabal, A., Marka, Z., Mchenry, K., Miller, J. M., Moreno, C., Neubauer, M. S., Oberlin, S., Olivas, A. R., Petravick, D., Rebei, A., Rosofsky, S., Ruiz, M., Saxton, A., Schutz, B. F., Schwing, A., Seidel, E., Shapiro, S. L., Shen, H., Shen, Y., Singer, L. P., Sipocz, B. M., Sun, L., Towns, J., Tsokaros, A., Wei, W., Wells, J., Williams, T. J., Xiong, J. & Zhao, Z., Oct 1 2019, In : Nature Reviews Physics. 1, 10, p. 600-608 9 p.

Research output: Contribution to journalArticle

Factor graph attention

Schwartz, I., Yu, S., Hazan, T. & Schwing, A. G., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 2039-2048 10 p. 8953801. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fast, diverse and accurate image captioning guided by part-of-speech

Deshpande, A., Aneja, J., Wang, L., Schwing, A. G. & Forsyth, D., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 10687-10696 10 p. 8953300. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

FMRI data augmentation via synthesis

Zhuang, P., Schwing, A. G. & Koyejo, O., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1783-1787 5 p. 8759585. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Max-sliced wasserstein distance and its use for gans

Deshpande, I., Hu, Y. T., Sun, R., Pyrros, A., Siddiqui, N., Koyejo, S., Zhao, Z., Forsyth, D. & Schwing, A. G., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 10640-10648 9 p. 8953668. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

No-frills human-object interaction detection: Factorization, layout encodings, and training techniques

Gupta, T., Schwing, A. & Hoiem, D., Oct 2019, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 9676-9684 9 p. 9010934. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Optical inspection of nanoscale structures using a novel machine learning based synthetic image generation algorithm

Purandare, S., Zhu, J., Zhou, R., Popescu, G., Schwing, A. & Goddard, L. L., Jan 1 2019, In : Optics Express. 27, 13, p. 17743-17762 20 p.

Research output: Contribution to journalArticle

Sail-VOS: Semantic amodal instance level video object segmentation-A synthetic dataset and baselines

Hu, Y. T., Chen, H. S., Hui, K., Huang, J. B. & Schwing, A. G., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 3100-3110 11 p. 8953603. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sensor training data reduction for autonomous vehicles

Tomei, M., Schwing, A., Narayanasamy, S. & Kumar, R., Oct 7 2019, HotEdgeVideo 2019 - Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges, co-located with MobiCom 2019. Association for Computing Machinery, p. 45-50 6 p. (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sequential latent spaces for modeling the intention during diverse image captioning

Aneja, J., Agrawal, H., Batra, D. & Schwing, A., Oct 2019, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 4260-4269 10 p. 9010960. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Two body problem: Collaborative visual task completion

Jain, U., Weihs, L., Kolve, E., Rastegari, M., Lazebnik, S., Farhadi, A., Schwing, A. G. & Kembhavi, A., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 6682-6692 11 p. 8953359. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

ViCo: Word embeddings from visual co-occurrences

Gupta, T., Schwing, A. & Hoiem, D., Oct 2019, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 7424-7433 10 p. 9010420. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2018

A network-centric hardware/algorithm co-design to accelerate distributed training of deep neural networks

Li, Y., Park, J., Alian, M., Yuan, Y., Qu, Z., Pan, P., Wang, R., Schwing, A., Esmaeilzadeh, H. & Kim, N. S., Dec 12 2018, Proceedings - 51st Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2018. IEEE Computer Society, p. 175-188 14 p. 8574540. (Proceedings of the Annual International Symposium on Microarchitecture, MICRO; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Convolutional Image Captioning

Aneja, J., Deshpande, A. & Schwing, A. G., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 5561-5570 10 p. 8578681. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Deep structured prediction with nonlinear output transformations

Graber, C., Meshi, O. & Schwing, A., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 6320-6331 12 p.

Research output: Contribution to journalConference article

Diverse and Coherent Paragraph Generation from Images

Chatterjee, M. & Schwing, A. G., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Hebert, M., Weiss, Y., Ferrari, V. & Sminchisescu, C. (eds.). Springer-Verlag Berlin Heidelberg, p. 747-763 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11206 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Generative Modeling Using the Sliced Wasserstein Distance

Deshpande, I., Zhang, Z. & Schwing, A., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 3483-3491 9 p. 8578465. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gradiveq: Vector quantization for bandwidth-efficient gradient aggregation in distributed CNN training

Yu, M., Lin, Z., Narra, K., Li, S., Li, Y., Kim, N. S., Schwing, A., Annavaram, M. & Avestimehr, S., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 5123-5133 11 p.

Research output: Contribution to journalConference article

Image Restoration with Deep Generative Models

Yeh, R. A., Lim, T. Y., Chen, C., Schwing, A. G., Hasegawa-Johnson, M. & Do, M., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6772-6776 5 p. 8462317. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Out of the box: Reasoning with graph convolution nets for factual visual question answering

Narasimhan, M., Lazebnik, S. & Schwing, A. G., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 2654-2665 12 p.

Research output: Contribution to journalConference article

PIPE-SGD: A decentralized pipelined SGD framework for distributed deep net training

Li, Y., Yu, M., Li, S., Avestimehr, S., Kim, N. S. & Schwing, A., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 8045-8056 12 p.

Research output: Contribution to journalConference article

Straight to the facts: Learning knowledge base retrieval for factual visual question answering

Narasimhan, M. & Schwing, A. G., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Weiss, Y. & Hebert, M. (eds.). Springer-Verlag Berlin Heidelberg, p. 460-477 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11212 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Structural consistency and controllability for diverse colorization

Messaoud, S., Forsyth, D. & Schwing, A. G., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Hebert, M., Weiss, Y., Ferrari, V. & Sminchisescu, C. (eds.). Springer-Verlag Berlin Heidelberg, p. 603-619 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11210 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Two Can Play This Game: Visual Dialog with Discriminative Question Generation and Answering

Jain, U., Schwing, A. & Lazebnik, S., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 5754-5763 10 p. 8578701. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Unsupervised Textual Grounding: Linking Words to Image Concepts

Yeh, R. A., Do, M. N. & Schwing, A. G., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 6125-6134 10 p. 8578739. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

Hu, Y. T., Huang, J. B. & Schwing, A. G., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Hebert, M., Ferrari, V., Sminchisescu, C. & Weiss, Y. (eds.). Springer-Verlag Berlin Heidelberg, p. 813-830 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11205 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Videomatch: Matching based video object segmentation

Hu, Y. T., Huang, J. B. & Schwing, A. G., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Weiss, Y. & Hebert, M. (eds.). Springer-Verlag Berlin Heidelberg, p. 56-73 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11212 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2017

Asynchronous parallel coordinate minimization for MAP inference

Meshi, O. & Schwing, A. G., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5735-5745 11 p.

Research output: Contribution to journalConference article

Creativity: Generating diverse questions using variational autoencoders

Jain, U., Zhang, Z. & Schwing, A., Nov 6 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 5415-5424 10 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dualing GANs

Li, Y., Schwing, A., Wang, K. C. & Zemel, R., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5607-5617 11 p.

Research output: Contribution to journalConference article

High-order attention models for visual question answering

Schwartz, I., Schwing, A. G. & Hazan, T., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 3665-3675 11 p.

Research output: Contribution to journalConference article

Interpretable and globally optimal prediction for textual grounding using image concepts

Yeh, R. A., Xiong, J., Hwu, W. M. W., Do, M. N. & Schwing, A. G., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 1913-1923 11 p.

Research output: Contribution to journalConference article

MaskRNN: Instance level video object segmentation

Hu, Y. T., Huang, J. B. & Schwing, A. G., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 325-334 10 p.

Research output: Contribution to journalConference article

Semantic image inpainting with deep generative models

Yeh, R. A., Chen, C., Yian Lim, T., Schwing, A. G., Hasegawa-Johnson, M. & Do, M. N., Nov 6 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 6882-6890 9 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2016

Blending learning and inference in conditional random fields

Hazan, T., Schwing, A. G. & Urtasun, R., Dec 1 2016, In : Journal of Machine Learning Research. 17, p. 1-25 25 p.

Research output: Contribution to journalArticle

Constraints based convex belief propagation

Tenzer, Y., Schwing, A. G., Gimpel, K. & Hazan, T., 2016, In : Advances in Neural Information Processing Systems. p. 2540-2548 9 p.

Research output: Contribution to journalArticle

Efficient deep learning for stereo matching

Luo, W., Schwing, A. G. & Urtasun, R., Dec 9 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 5695-5703 9 p. 7780983. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning deep parsimonious representations

Liao, R., Schwing, A., Zemel, R. S. & Urtasun, R., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 5092-5100 9 p.

Research output: Contribution to journalConference article

Statistical Inference, Learning and Models in Big Data

Franke, B., Plante, J. F., Roscher, R., Lee, E. S. A., Smyth, C., Hatefi, A., Chen, F., Gil, E., Schwing, A., Selvitella, A., Hoffman, M. M., Grosse, R., Hendricks, D. & Reid, N., Dec 1 2016, In : International Statistical Review. 84, 3, p. 371-389 19 p.

Research output: Contribution to journalArticle

Training deep neural networks via direct loss minimization

Song, Y., Schwing, A. G., Zemcl, R. S. & Urtasun, R., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 3207-3221 15 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 5).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2015

Learning deep structured models

Chen, L. C., Schwing, A. G., Yuille, A. L. & Urtasun, R., Jan 1 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 1785-1794 10 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning to segment under various forms of weak supervision

Xu, J., Schwing, A. G. & Urtasun, R., Oct 14 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 3781-3790 10 p. 7299002. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

MatchBox: Indoor image matching via box-like scene estimation

Srajer, F., Schwing, A. G., Pollefeys, M. & Pajdla, T., Feb 6 2015, Proceedings - 2014 International Conference on 3D Vision, 3DV 2014. Institute of Electrical and Electronics Engineers Inc., p. 705-712 8 p. 7035888. (Proceedings - 2014 International Conference on 3D Vision, 3DV 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Monocular object instance segmentation and depth ordering with CNNs

Zhang, Z., Schwing, A. G., Fidler, S. & Urtasun, R., Feb 17 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 2614-2622 9 p. 7410657. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rent3D: Floor-plan priors for monocular layout estimation

Liu, C., Schwing, A. G., Kundu, K., Urtasun, R. & Fidler, S., Oct 14 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 3413-3421 9 p. 7298963. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution