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Jia, D., Ruan, X., Xia, K., Zou, Z., Wang, L., Tang, W.
Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction European Conference on Computer Vision (ECCV’24), Milan, Italy September 29, 2024 |
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Johnson, A.E., Renambot, L., Marai, G.E., Tsoupikova, D., Papka, M.E., Long, L., Plepys, D.M., Talandis, J., Brown, M.D., Leigh, J., Sandin, D.J., DeFanti, T.A.
Electronic Visualization Laboratory’s 50th Anniversary Retrospective: Look to the Future, Build on the Past Special Issue on Immersive Visualization Laboratories - Past, Present and Future, vol 33, PRESENCE: Virtual and Augmented Reality, pp. 77–127 August 1, 2024 |
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Ruan, X., Tang, W.
Fully Test-time Adaptation for Object Detection International Journal of Computer Vision (2024): 1-17, pp. 1038-1047 June 18, 2024 |
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Liu, M., Zhang, J., Tang, W.
Imbalance-Aware Discriminative Clustering for Unsupervised Semantic Segmentation International Journal of Computer Vision, Springer May 14, 2024 |
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Chen, Z., Renambot, L., Long, L., Brown, M., Johnson, A.E.
Moving from Composable to Programmable First Workshop on Composable Systems (COMPSYS ’22), held in conjunction with the 36th IEEE International Parallel & Distributed Processing Symposium, Virtual June 3, 2022 |
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Long, L., Bargo, T., Renambot, L., Brown, M., Johnson, A.E.
Composable Infrastructures for an Academic Research Environment: Lessons Learned First Workshop on Composable Systems (COMPSYS ’22), held in conjunction with the 36th IEEE International Parallel & Distributed Processing Symposium, Virtual June 3, 2022 |
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Chen, Z., Renambot, L., Long, L., Brown, M., Johnson, A.E.
Moving from Composable to Programmable April 15, 2022 |
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Ragone, M., Saray, M.T., Long, L., Shahbazian-Yassar, R., Mashayek, F., Yurkiv, V.
Deep learning for mapping element distribution of high-entropy alloys in scanning transmission electron microscopy images Computational Materials Science, no 201, lsevier B.V. September 18, 2021 |
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Liu, M., Schonfeld, D., Tang, W.
Exploit Visual Dependency Relations for Semantic Segmentation In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9726-9735 June 19, 2021 |
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Liu, K., Zou, Z., Tang, W.
Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation In Proceedings of the Asian Conference on Computer Vision (ACCV) 2020, Virtual Kyoto November 30, 2020 |
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Zou, Z., Liu, K., Wang, L., Tang, W.
High-order Graph Convolutional Networks for 3D Human Pose Estimation British Machine Vision Conference (BMVC’20), Manchester, UK September 7, 2020 |
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Liu, K., Ding, R., Zou, Z., Wang, L., Tang, W.
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation European Conference on Computer Vision (ECCV’20), Glasgow, Scotland, UK August 23, 2020 |
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Liqid
Case Study: UIC Utilizes Liqid Composable Infrastructure for Uneven Applications in Scientific Research Liqid Case Study, Chicago, IL April 23, 2020 |
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Brown, M., Renambot, L., Johnson, A., Long, L.
Visual Data Science: Advanced Cyberinfrastructure Systems (poster session) UIC Foundations of Data Science Institute (an NSF Harnessing the Data Revolution (HDR) TRIPODS grant), Open House, Discovery Partners Institute, Chicago, IL January 17, 2020 |
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Brown, M., Renambot, L., Long, L., Bargo, T., Johnson, A.
COMPaaS DLV: Composable Infrastructure for Deep Learning in an Academic Research Environment MERIT (Midscale Education and Research Infrastructure and Tools) Community Event Workshop, 27th IEEE International Conference on Network Protocols (ICNP 2019), Chicago, IL October 7, 2019 |
